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Speaker 1: Addison Hayes is a video manager and content creator at

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Speaker 1: Dynasty League Football and Four for four Football. He's also

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Speaker 1: the creator of the Marker System, a model that helps

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Speaker 1: forecast incoming rookies. He's a dad, he's a nitny lyon,

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Speaker 1: and he claims that stats don't lie people do. These

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Speaker 1: are his late round perspectives.

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Speaker 2: Told my wife, I wanted two things done before the draft.

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Speaker 2: It was this update to my studio and our kitchener model.

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Speaker 2: And one of those things got done.

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Speaker 1: So I thought you're gonna I thought you're gonna say,

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Speaker 1: like a player like k Tron Allen to a specific

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Speaker 1: team or something like that. You know, you got your

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Speaker 1: your Penn State boy going going somewhere specific.

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Speaker 2: I don't know what that specific landing spot would be, Minnesota, Seattle.

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Speaker 2: I mean I would love him as the ultimate era

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Speaker 2: apparent to Baltimore would be fun. But but yeah, that

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Speaker 2: could be fun too. I'm in I'm in on that.

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Speaker 3: Yeah, yeah, we learned.

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Speaker 1: So I was on your show, on Addison's show for

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Speaker 1: those of you who missed it on the DLF channel

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Speaker 1: last week or published I think on Sunday.

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Speaker 3: Right, So it was like four days ago or so.

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Speaker 1: This will be out the morning of the draft that

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Speaker 1: started the draft, so we'll be able to talk the draft.

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Speaker 3: You guys will be able to see how.

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Speaker 1: Wrong we were hours later after finishing this, essentially, but no,

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Speaker 1: we're doing a little home and home.

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Speaker 3: So welcome to Perspectives.

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Speaker 2: Man.

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Speaker 3: I'm glad to have you.

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Speaker 2: Yeah, thank you so much for having me. I think

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Speaker 2: it's truly an honor to be on this show. And

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Speaker 2: I've been listening to the Late Round podcast for years,

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Speaker 2: years and years. I remember that during COVID, I was

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Speaker 2: working at a packing facility moving boxes and stuff and

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Speaker 2: they let us listen to podcasts, and this was I

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Speaker 2: subscribed to so many podcasts, man, it'd be unbelievable how

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Speaker 2: many you can get through in a forty hour week.

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Speaker 2: But this was on weekly rotation back then and it

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Speaker 2: still is leading up to today.

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Speaker 3: So thanks man, I really appreciate that.

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Speaker 1: It means a lot real But yeah, I mean, like,

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Speaker 1: we had a really good discussion on your show. So

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Speaker 1: most of the stuff we'll talk that's new on today's but

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Speaker 1: there's gonna be a little bit of overlap because I

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Speaker 1: think the discussion that we had was interesting, and you know,

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Speaker 1: we can carry it over for sure, But before we

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Speaker 1: get into all that I like to do with newer

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Speaker 1: perspective guests who haven't been on the show before.

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Speaker 3: I think we've only had like eight or nine returning

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Speaker 3: guests at this point.

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Speaker 1: But regardless, like talk to everybody about who you are,

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Speaker 1: what you're doing, how you got into this crazy fantasy

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Speaker 1: football business.

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Speaker 2: Sure, yes, So I currently work for DLEF, which was

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Speaker 2: bought out a couple of years ago by our umbrella company,

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Speaker 2: bet Spurts. So they massively influxed you know, cash and

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Speaker 2: resources into our site and other sites like four foot

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Speaker 2: four dot com is our sister's site, and a few

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Speaker 2: others the Bleacher Nation that covers you know, Chicago sports

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Speaker 2: and they have a golf thing and all that kind

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Speaker 2: of stuff. So whenever they got bought out not too

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Speaker 2: long after, I was given the offer to go full time,

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Speaker 2: which has been a phenomenal experience.

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Speaker 4: I think I'm heading into year four.

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Speaker 2: Of being full time in the fantasy industry, which is

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Speaker 2: an absolute dream job. I've been working for DALF since

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Speaker 2: twenty nineteen after building out my own fantasy football website

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Speaker 2: called f f Statistics.

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Speaker 4: The true OG's out there would remember it.

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Speaker 2: But I had that site for a little bit and

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Speaker 2: then DLF bought it and I've been working with DLF.

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Speaker 2: Got into YouTube's around twenty twenty, then fully went into it.

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Speaker 2: I remember the first video I specifically made that fully

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Speaker 2: launched me into being more like full into YouTube was

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Speaker 2: the Carson Wentz trade from Philly to Indie.

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Speaker 4: It's a weird video to get into, but that was it.

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Speaker 2: And then ever since I haven't really looked back on

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Speaker 2: YouTube content. So it's all analytics. It's I have a

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Speaker 2: background in statistics from Penn State, so I'm very analytics

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Speaker 2: and data driven as well. And I think, yeah, I

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Speaker 2: mean I've been in the industry for like ten years

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Speaker 2: and full time for about or four of them, so

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Speaker 2: it's been it's been really really fun and great people.

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Speaker 3: Over at DLF.

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Speaker 1: Ryan mcdowe and I go way way back, Like we've

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Speaker 1: just been kind of doing stuff in the fantasy space

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Speaker 1: for a while together. You know, I've got to know

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Speaker 1: him through the years and such. But DLF's a great

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Speaker 1: spot to be. But you mentioned that you have the

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Speaker 1: statistics background, and what I think is really cool about

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Speaker 1: what we're going to do and talk about today is

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Speaker 1: that you have your process, because I think this is

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Speaker 1: really important because we see, like with prospect evaluation, for

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Speaker 1: whatever reason, it feels like it's okay for people who

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Speaker 1: analyze film heavily to have differing views because it's more

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Speaker 1: intuitive for someone to understand that, you know, someone is

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Speaker 1: viewing Jordan Tyson this way and someone's viewing Jordan Tyson

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Speaker 1: this way.

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Speaker 3: Oh, we just see it a little bit differently.

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Speaker 1: But for some reason, I've found that people kind of

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Speaker 1: expect analytical analysis to just be the same, right, But

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Speaker 1: there's so many different ways that we can approach this stuff.

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Speaker 1: And I have this app model that's kind of my

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Speaker 1: foundation for prospecting. But you have a different system. You're

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Speaker 1: the marker system. So can you talk about that, what

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Speaker 1: it entails and how you kind of came up with it.

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Speaker 4: Sure?

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Speaker 2: Yeah, So my go to kind of phrase for it

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Speaker 2: that the DLF fans will know loud and clear is

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Speaker 2: that it is a series of checkboxes or baselines based

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Speaker 2: on previously successful NFL players what they had coming out

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Speaker 2: of college. So I pulled a sample of a boatload

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Speaker 2: of players, filtered it down to who I deemed to

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Speaker 2: be successful, which varies by position, but generally it's you know,

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Speaker 2: having I think multiple top twenty four seasons for running back,

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Speaker 2: wide receiver, top twelve for quarterback, and tight end, and

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Speaker 2: so from there, I basically I was like, what is

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Speaker 2: the quartiles for all this first, second, third quartile for

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Speaker 2: a lot of these different numbers, kind of ran it

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Speaker 2: to see which ones might have been more meaningful than

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Speaker 2: some of the others, and it basically just came out to,

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Speaker 2: you know, did you hit this checkbox or not. I

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Speaker 2: wanted it to be pretty simple. A lot of people,

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Speaker 2: you know, they have like the models and the multilinear

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Speaker 2: regressions and all that kind of stuff, and blah blah blah,

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Speaker 2: blah blah. I wanted it to be simpler and very

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Speaker 2: easy to explain, but then also easy to understand from

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Speaker 2: the viewer standpoint who maybe doesn't have an analytical background.

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Speaker 2: And I'm just saying that, you know, from at the

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Speaker 2: wide receiver position, these are kind of the baselines that

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Speaker 2: a lot of successful NFL players had coming out of

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Speaker 2: college at these different stats or metrics, and this prospect, now,

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Speaker 2: if you put him up against those same baselines, does

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Speaker 2: he check those boxes or not? And it's kind of

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Speaker 2: in my way of comparing it. It's kind of like

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Speaker 2: hitting on a parlay, like obviously, you know, like your

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Speaker 2: sports better. The more legs you out of the parlay,

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Speaker 2: the harder it is for that to actually happen. And

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Speaker 2: so the more that I have more metrics that I

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Speaker 2: have in here, the harder it is for players to

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Speaker 2: hit on all of them. But the ones that do

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Speaker 2: hit or hit very highly end up doing obviously are

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Speaker 2: graded out really, really well. And that kind of adds

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Speaker 2: to the separation at each of the positions in terms

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Speaker 2: of this player's are really good prospect, this player's a

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Speaker 2: not so good prospect. So that's where all this kind

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Speaker 2: of came from. I started building it out in twenty

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Speaker 2: twenty one that was the running back in the wide

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Speaker 2: receiver positions, iterated it over the course of the next

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Speaker 2: few years, and then last year I added the quarterback

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Speaker 2: and the tight end position. So now I have a

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Speaker 2: full suite for all four that I trust very well,

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Speaker 2: and I've built up a nice little discord following of

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Speaker 2: people that seem to trust it as well.

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Speaker 4: So it's doing pretty well.

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Speaker 2: And I enjoy talking about it and enjoy, you know,

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Speaker 2: breaking everything down analytically.

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Speaker 1: So for each position, are there the same number of

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Speaker 1: markers or does it differ.

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Speaker 3: And how many are we talking here? When it comes

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Speaker 3: to like just the sheer number.

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Speaker 4: It does differ.

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Speaker 2: So the main concept it is that there's kind of

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Speaker 2: like three buckets. So there's the production metrics, which are

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Speaker 2: generally a combination of career and best season metrics. There's athleticism,

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Speaker 2: so the combine in my marker system, it does kind

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Speaker 2: of matter, but I'm just looking for baselines of athleticism,

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Speaker 2: like a four or five to five forty yard dash,

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Speaker 2: which is like a one hundred speed score.

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Speaker 4: You have to hit certain.

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Speaker 2: Size thresholds as well for each of the position, and

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Speaker 2: then draft capital is the final land of course, most

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Speaker 2: important bucket as well. You get an additional checkbox if

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Speaker 2: you're a first or second round pick. I think I

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Speaker 2: stretched it out to third rounder for tight end because

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Speaker 2: I found that it was pretty flat for the hit

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Speaker 2: rate for just day two as opposed to the other positions.

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Speaker 2: Quarterback is only first round, it's actually top twelve, it's

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Speaker 2: not even the full entire first round. Then there's a

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Speaker 2: draft capital adjustments at the end of that that kind

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Speaker 2: of all feed into the final grade, and that is

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Speaker 2: in essence we're looking for quarterback, it's seventeen markers. Running

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Speaker 2: back is twelve, wide receiver and tight end are fourteen.

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Speaker 2: They're essentially the same, just with tight end being at

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Speaker 2: a lower scale for you know, they're not getting the

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Speaker 2: massive production that wide receivers do in college.

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Speaker 4: So those are the markers for the twelve or four positions.

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Speaker 1: You couldn't really find, in my opinion, two kind of

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Speaker 1: different ways to approach things when you look at what

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Speaker 1: the ZAP model is doing versus what the because the

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Speaker 1: ZAP model is just very formulaic and it's driven by

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Speaker 1: a handful of numbers that are trying to, you know,

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Speaker 1: project the first three year output for these players, and

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Speaker 1: it's not necessarily approaching it from the standpoint of like,

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Speaker 1: here's this sample of guys, because that's this is the

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Speaker 1: architecture of yours. Where you're looking at, here's this sample

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Speaker 1: of players who have been really successful. Mine's looking at

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Speaker 1: here are all the players that have gone to the

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Speaker 1: combine or who were drafted since twenty eleven.

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Speaker 3: What does yours go back to? Like what year I

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Speaker 3: had it going back to.

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Speaker 2: It's it's not like a one specific but it's like

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Speaker 2: two and three two thousand and four somewhere in there

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Speaker 2: from my new tool website that I just built out

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Speaker 2: that only goes back to twenty ten to like visualize

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Speaker 2: the data, but I have data.

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Speaker 4: Going back to the mid early to mid two thousands.

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Speaker 1: Do you find that from a modeling standpoint, a lot

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Speaker 1: of like overfitting issues that you've seen with like other

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Speaker 1: models out there, Like how people kind of view things

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Speaker 1: based on the fact that you know, some of it

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Speaker 1: is just like availability of certain data, right, and so

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Speaker 1: people are looking back to say.

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Speaker 3: Twenty nineteen, twenty eighteen, and then like, like, is part

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Speaker 3: of the reason why you're going back so far?

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Speaker 1: Is it to get that larger sample to make sure

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Speaker 1: that you're not, you know, overfitting to Pukuna kua.

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Speaker 2: Let's say, yeah, yeah, I did have a nice availability

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Speaker 2: of that data. Obviously, being able to have data that

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Speaker 2: goes back that far is I think kind of impressive,

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Speaker 2: because yeah, much a lot of Yeah, yeah, it's definitely

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Speaker 2: not easy. I've spent a lot of time on it,

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Speaker 2: for sure, But I do think that it kind of

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Speaker 2: in a way, like you said, like it combats the

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Speaker 2: the overfitting, and like I think whenever I think there's

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Speaker 2: benefits in only looking at a sample size from the

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Speaker 2: last you know, however many years, single digit years or

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Speaker 2: everything like that. But I also think that there's a

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Speaker 2: lot of issues in there that you know, you don't

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Speaker 2: get the full look of kind of the history of

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Speaker 2: the NFL. And I've had people ask me before should

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Speaker 2: I be kind of changing my my marker baselines for

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Speaker 2: the direction that the NFL is heading into, because right

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Speaker 2: one of them, I know, one of the ones that

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Speaker 2: kind of gets a little bit of drawback is a

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Speaker 2: thirty BMI for running backs, which you know that it's

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Speaker 2: kind of like the Jamiir Gibbs thing. I think I've

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Speaker 2: heard you'd even talk about it too before. It's like

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Speaker 2: Jamiir Gibbs weighed in at one hundred and ninety nine pounds,

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Speaker 2: and I do have a marker that for running backs

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Speaker 2: you have to be two hundred pounds, and so he

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Speaker 2: did not check that box. Did I care at all?

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Speaker 2: In my actual analysis of it, Absolutely not. He graded

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Speaker 2: out is by far the second best running back in

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Speaker 2: that class behind John Robinson, and is phenomenal in my

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Speaker 2: marker system. He just happened to be one hundred nine

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Speaker 2: nine pounds instead of two hundred, But I don't want

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Speaker 2: to shift too far looking at recent data and saying, well,

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Speaker 2: some of these smaller wide receivers are being more successful,

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Speaker 2: some of these smaller running backs are being more successful,

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Speaker 2: or some of these players that are four year players

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Speaker 2: because of NIL, when previously being four year player fifth

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Speaker 2: year player was kind of a death nail sentence, especially

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Speaker 2: at the wide receiver position, and the early declarer was

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Speaker 2: so much more important. I don't want to try to

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Speaker 2: change my markers to get to that, to get to

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Speaker 2: where we're at with the NFL today, because over the

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Speaker 2: past ten to fifteen years and even still today, it

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Speaker 2: is so important to have a very high level of

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Speaker 2: success at college be a prototypically sized player, and I

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Speaker 2: don't think that's going to go away anytime soon. So

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Speaker 2: a smaller sample, I think, is only penalizing you in

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Speaker 2: terms of what you should actually be looking at versus

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Speaker 2: you know, where I'm going back twenty years or more

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Speaker 2: for my sample size.

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Speaker 1: Yeah, it's interesting too, Like I've gotten a lot of

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Speaker 1: the feedback of well what about nil, and you have

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Speaker 1: early declare as part of a like you know that

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Speaker 1: does get signal and that's still part of the model

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Speaker 1: but like in the end, age adjustin production is still

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Speaker 1: important even if players are playing later. In the NFL,

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Speaker 1: you can make the argument maybe that if there are

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Speaker 1: fewer players that are declaring early, that means that there's

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Speaker 1: tougher competitions staying in college. But realistically, realistically, though, when

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Speaker 1: you're talking early declares, even when early declaring was happening

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Speaker 1: pretty frequently, we're talking like ten to fifteen players wide

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Speaker 1: receivers in a given class. That's ten to fifteen wide

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Speaker 1: receivers across the collegiate landscape that's staying in school as

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Speaker 1: and actually it'd be more like ten because there's usually

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Speaker 1: like five or so early declares in these classes, right,

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Speaker 1: So you're really only talking about like ten wide receivers,

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Speaker 1: like a ten wide receiver delta from ten years ago

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Speaker 1: to today, right in terms of how many players are

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Speaker 1: declaring early. And if you're gonna make the competition argument

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Speaker 1: and say, well, this guy's stating, you know, more and

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Speaker 1: more players are staying in college, so therefore this guy's

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Speaker 1: competition looks a little bit different.

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Speaker 3: I mean, I think that's a little bit of a stretch.

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Speaker 1: Like, in the end, good age adjustin production usually is

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Speaker 1: going to win out, and then there's going to always

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Speaker 1: be edge cases where players are playing with really good competition.

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Speaker 1: You got to kind of sift through that and figure

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Speaker 1: that out, and you know, understand how to weigh that

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Speaker 1: or how not to weigh that. But you know, it's

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Speaker 1: hard for me to sit here and say, like, oh,

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Speaker 1: nil is happening. Therefore, you know, Bryce Lance, So I

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Speaker 1: feel like I've been crapping on on this show and

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Speaker 1: I'm not even meaning to necessarily because I understand the

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Speaker 1: upside case. But like, the dude had one catch across

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Speaker 1: his first three years of his college career, right, Like,

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Speaker 1: you can't art. It's really hard to argue that Bryce

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Speaker 1: Lance's age adjusted production is phenomenal, right, Like, it's a

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Speaker 1: really hard argument to make, and we know his historically

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Speaker 1: that bad age justine production even last year, the year before,

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Speaker 1: the year before in recent memory is not good for

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Speaker 1: a prospect that that part at least is not going to.

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Speaker 3: Change, you know, it's it.

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Speaker 1: It is a difficult thing to balance though overall, where

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Speaker 1: like there's a changing NFL, things always kind of ebb

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Speaker 1: and flow and there's differences and such. But even like

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Speaker 1: the small running back problem that that has Arisen or

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Speaker 1: the way that people are viewing them. You know, you

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Speaker 1: have Devon a Chan, you have James Cook, you have

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Speaker 1: you know, Keaton Mitchell to a degree, who's gotten more

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Speaker 1: run than a player like that maybe historically. But again,

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Speaker 1: you're still working with a pretty small sample size, Kien Williams,

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Speaker 1: you could throw out there. Still working with a pretty

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Speaker 1: small sample size. And I say this in the guide

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Speaker 1: every year because running back weight I don't have a

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Speaker 1: threshold the way that you do, but like it, it

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Speaker 1: is an input in the model like running, Like the

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Speaker 1: bigger running back is up until a point like I

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Speaker 1: don't care if he's two hundred and fifty pounds or

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Speaker 1: something like that, but you know, if he's like I think,

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Speaker 1: it goes up like two twenty or two twenty five,

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Speaker 1: they get benefited from that. But it's in conjunction with

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Speaker 1: all the other stuff that's going on, right, just like

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Speaker 1: the marker system, it's in conjunction with all these other

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Speaker 1: production inputs. So if Jamior Gibbs doesn't hit that mark

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Speaker 1: doesn't mean that he's bad. It's just one of the

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Speaker 1: inputs of many that you're really looking at, you know,

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Speaker 1: and it just seems like it just goes overstated A

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Speaker 1: lot of times this kind of stuff in the analytical discussion.

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Speaker 1: It's like we're just trying to directionally get to the

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Speaker 1: right place.

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Speaker 2: Right, We're trying to I always call it like when

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Speaker 2: you're one of the hardest parts of playing golf that

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Speaker 2: I enjoy playing golf.

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Speaker 4: I'm actually this T shirt's actually a golf T shirt.

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Speaker 4: Funny enough, but.

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Speaker 2: One of the best ways that people tell you to

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Speaker 2: get better at golf is to find ways to hit

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Speaker 2: the green, like inside a hundred or one hundred and

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Speaker 2: fifty yards with just like webshot, you know. I feel

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Speaker 2: like that's what we try to do analytically, is like

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Speaker 2: can we just land on the green and then try

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Speaker 2: to put our way into you know, getting good scores

349
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Speaker 2: and hitting on some of these players. I think in

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Speaker 2: a lot of way, what my marker system does really

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Speaker 2: well is, yeah, it can tell you some of the

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Speaker 2: players that like you should take, but most of the

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Speaker 2: time it's just going to tell you you, like, Elike

354
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Speaker 2: Neighbors graded out as the wide receiver one, you should

355
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Speaker 2: have drafted Eliite Neighbors. For those of you out there

356
00:17:06,000 --> 00:17:08,040
Speaker 2: who didn't know you should have drafted elike neighbors you

357
00:17:08,040 --> 00:17:10,960
Speaker 2: should have drafted by Jean Robinson. You know, there's a

358
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Speaker 2: bunch of those players that you should you should just draft.

359
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Speaker 2: You should draft Jeremiah Love this year at the one

360
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Speaker 2: to one. Yeah, I think with my marker system, yeah shocker.

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Speaker 2: I think what my market system does really well though,

362
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Speaker 2: is tell you some of the players that you shouldn't take.

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Speaker 2: And I think by crossing off some of the players

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Speaker 2: on your list in you know, the top twelve or

365
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Speaker 2: top twenty four of your rookie drafts, then that should

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Speaker 2: hopefully point you in the direction of some other players. So, like,

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Speaker 2: I don't have a vast opinion on a lot of

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Speaker 2: guys that are just kind of in that mid round

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Speaker 2: range for rookie drafts, just because I think that they're

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Speaker 2: all kind of similar, and maybe landing spot in draft

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Speaker 2: capital is going to give us a little bit more

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Speaker 2: insight into that. But I could tell you some of

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Speaker 2: the players that I don't like in those ranges, and

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Speaker 2: if you avoid those players, and that points you towards

375
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Speaker 2: somebody else. Matthew Golden was a perfect example of that.

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Speaker 4: Last year.

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Speaker 2: I did not want Matthew Golden. So if you just

378
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Speaker 2: cross Golden off your list. Put you over towards a

379
00:18:06,200 --> 00:18:09,119
Speaker 2: Tyler Warren, a Colston Loveland, a Luther Burden, you know

380
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Speaker 2: somebody like that. That would have been a way better

381
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Speaker 2: usage of your rookie pick. And I think that is

382
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Speaker 2: what we try to do analytically, is just try to

383
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Speaker 2: get you into that neighborhood, and ideally we steer.

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Speaker 4: You in the right direction more often than not.

385
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Speaker 1: Yeah, it's a great, great way to view it and

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Speaker 1: to think about it. Let's talk about some of these players.

387
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Speaker 1: Both of these models really like Jordan Tyson. I know

388
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Speaker 1: that from talking to you last week. What are some

389
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Speaker 1: of the things that the marker system seeing with Tyson?

390
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Speaker 3: Yeah?

391
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Speaker 2: So Tyson, he has a projected final grade of an

392
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Speaker 2: eighty five out of one hundred on a one hundred

393
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Speaker 2: point scale, which is pretty incredible. I actually just recorded

394
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Speaker 2: a video for the dealf YouTube channel talking through some

395
00:18:52,840 --> 00:18:57,040
Speaker 2: of my misses over the past few years, since twenty seventeen,

396
00:18:57,119 --> 00:19:00,520
Speaker 2: so through twenty seventeen to twenty twenty three. If you're

397
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Speaker 2: looking at players that had an eighty five or above

398
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Speaker 2: final grade, there are I didn't have the exact number,

399
00:19:06,760 --> 00:19:09,399
Speaker 2: but it was like twenty to thirty players in that

400
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Speaker 2: sample size, and only five of them failed to have

401
00:19:14,040 --> 00:19:17,400
Speaker 2: a top twelve season at their position. Now, for quarterbacks

402
00:19:17,400 --> 00:19:19,200
Speaker 2: and tight ends, you know, you could argue whether top

403
00:19:19,240 --> 00:19:23,879
Speaker 2: twelve is actually super beneficial, especially for tight ends. But

404
00:19:24,200 --> 00:19:26,320
Speaker 2: you know the fact that like the biggest misses on

405
00:19:26,400 --> 00:19:31,359
Speaker 2: their grade wise are Corey Davis Nikhil Harry. You could argue,

406
00:19:31,359 --> 00:19:34,600
Speaker 2: like Cam Akers was a miss, maybe that's an injury thing.

407
00:19:34,680 --> 00:19:34,920
Speaker 4: JK.

408
00:19:35,080 --> 00:19:38,720
Speaker 2: Dobbins in a similar light. But there's a lot of

409
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Speaker 2: other players on there. There are tremendous hits throughout that sample.

410
00:19:43,040 --> 00:19:44,520
Speaker 2: And I only went up to twenty twenty three because

411
00:19:44,520 --> 00:19:46,439
Speaker 2: I didn't want to. I didn't want to, you know,

412
00:19:46,680 --> 00:19:49,640
Speaker 2: crap on Marv or Roma Dunes or anybody. Just yeah,

413
00:19:49,640 --> 00:19:50,840
Speaker 2: I wanted to give them a little bit more time.

414
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Speaker 2: Tedero McMillan doesn't have a top twelve fantasy season yet,

415
00:19:53,560 --> 00:19:55,520
Speaker 2: but he's only played one year, so let's give him

416
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Speaker 2: some time. So Jordan Tyson is about to enter into

417
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Speaker 2: that range, as you know, as a first round pick,

418
00:20:01,960 --> 00:20:06,480
Speaker 2: potential top fifteen, maybe even a top ten draft pick. Tonight,

419
00:20:06,520 --> 00:20:09,880
Speaker 2: I guess if this is releasing on Thursday, Yeah that

420
00:20:10,280 --> 00:20:12,840
Speaker 2: he so he he is going to enter a very

421
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Speaker 2: elite set of players over the past decade or so.

422
00:20:18,240 --> 00:20:21,360
Speaker 2: I mean, he's got the age at draft day, he's

423
00:20:21,400 --> 00:20:24,640
Speaker 2: going to be twenty one years old. He'll turn twenty

424
00:20:24,640 --> 00:20:26,240
Speaker 2: two at some point this summer. But even as a

425
00:20:26,240 --> 00:20:28,879
Speaker 2: four year player, that's pretty impressive. Had the you know,

426
00:20:28,920 --> 00:20:32,000
Speaker 2: twenty percent breakout age in year one, the thirty percent

427
00:20:32,040 --> 00:20:34,880
Speaker 2: breakout age in year one as well. Yards for team

428
00:20:34,880 --> 00:20:37,320
Speaker 2: pass attempt is there. He had a big Fantasy points

429
00:20:37,320 --> 00:20:40,159
Speaker 2: per game season of over twenty. He's got the size.

430
00:20:40,240 --> 00:20:42,600
Speaker 2: He didn't test, so I don't have any of the

431
00:20:42,640 --> 00:20:45,480
Speaker 2: athleticism numbers for him, but i'd imagine that he would

432
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Speaker 2: hit on the majority of my athleticism markers as well

433
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Speaker 2: from what I have seen from him on tape, and

434
00:20:51,560 --> 00:20:53,959
Speaker 2: he just misses. I'm looking for a thirty five percent

435
00:20:54,359 --> 00:20:56,560
Speaker 2: best market share yard season. He was at thirty four

436
00:20:56,600 --> 00:21:00,359
Speaker 2: point three, So that's where you know, you probably would

437
00:21:00,400 --> 00:21:02,720
Speaker 2: like smirkt that a little bit and just be like,

438
00:21:03,240 --> 00:21:06,000
Speaker 2: that's kind of the negative of my black and white

439
00:21:06,160 --> 00:21:08,880
Speaker 2: yes or no, that he was at thirty four point three.

440
00:21:09,000 --> 00:21:12,359
Speaker 2: Didn't hit thirty five, but that is It's still like

441
00:21:12,400 --> 00:21:14,679
Speaker 2: when you're looking at these numbers, and analyzing all of that,

442
00:21:14,720 --> 00:21:17,320
Speaker 2: the fact that Jordan Tyson is an eighty five maybe

443
00:21:17,359 --> 00:21:19,280
Speaker 2: could have been even better if I use some sort

444
00:21:19,280 --> 00:21:22,320
Speaker 2: of like sliding scale instead of a yes or no checkbox.

445
00:21:22,880 --> 00:21:25,960
Speaker 2: He's by far the wide receiver one in this class analytically.

446
00:21:26,200 --> 00:21:28,160
Speaker 1: Yeah, I want to say this too, because I'm sure

447
00:21:28,200 --> 00:21:30,199
Speaker 1: people are listening to this and they've seen me like

448
00:21:30,400 --> 00:21:33,280
Speaker 1: rail against threshold type relateously you even you even brought

449
00:21:33,280 --> 00:21:34,919
Speaker 1: it up whenever I went on your show, and you're like,

450
00:21:34,960 --> 00:21:35,400
Speaker 1: I know you.

451
00:21:35,359 --> 00:21:38,000
Speaker 3: Hate threshold analysis, and I don't.

452
00:21:38,040 --> 00:21:40,600
Speaker 1: I don't, right, I don't hate threshold analysis when it's

453
00:21:40,680 --> 00:21:44,440
Speaker 1: like this right, where you're looking at like it's it's

454
00:21:44,440 --> 00:21:47,760
Speaker 1: a numbers game from a quantity game, right, You're looking

455
00:21:47,760 --> 00:21:51,840
Speaker 1: at all of these different values as opposed to one

456
00:21:51,920 --> 00:21:55,000
Speaker 1: single value. My problem with the threshold game is typically

457
00:21:55,240 --> 00:21:57,720
Speaker 1: when people are making or break, not typically when it

458
00:21:57,840 --> 00:22:00,240
Speaker 1: always when people are making or breaking the way they

459
00:22:00,320 --> 00:22:02,880
Speaker 1: view a prospect based on one single metric or even

460
00:22:02,920 --> 00:22:06,120
Speaker 1: two metrics, right where they're like, oh, he doesn't hit

461
00:22:06,240 --> 00:22:10,360
Speaker 1: in zone yards perroute run and receiving yards per team

462
00:22:10,359 --> 00:22:13,280
Speaker 1: pass attempt in their best season, so therefore he can't

463
00:22:13,280 --> 00:22:16,000
Speaker 1: be any good I have issues with that because there

464
00:22:16,000 --> 00:22:17,600
Speaker 1: are other things that we need to look at age,

465
00:22:17,960 --> 00:22:20,760
Speaker 1: you know, early declare status. You know, obviously a player

466
00:22:20,760 --> 00:22:23,119
Speaker 1: who's only played three years in college is at a

467
00:22:23,119 --> 00:22:26,600
Speaker 1: disadvantage for career statistics because you know, it's similar like

468
00:22:26,640 --> 00:22:28,680
Speaker 1: Casey Concepcione, if you were to come back to school,

469
00:22:28,880 --> 00:22:30,920
Speaker 1: how do we know he wouldn't dominate in year four?

470
00:22:31,119 --> 00:22:32,800
Speaker 1: You know, That's why we adjust for Like we can

471
00:22:32,840 --> 00:22:36,080
Speaker 1: adjust for age and look at different breakout related metrics.

472
00:22:36,119 --> 00:22:37,879
Speaker 1: So I do want to throw that out there that, like,

473
00:22:37,920 --> 00:22:40,000
Speaker 1: as people are listening to this, this isn't like an awkward

474
00:22:40,040 --> 00:22:42,159
Speaker 1: thing between me and Addison, like we number one, we

475
00:22:42,240 --> 00:22:45,120
Speaker 1: had the discussion, but number two, Like, I think there's

476
00:22:45,119 --> 00:22:47,560
Speaker 1: a lot of different ways to approach this stuff, and

477
00:22:47,720 --> 00:22:51,199
Speaker 1: my threshold beef is more so I mean, let's just

478
00:22:51,200 --> 00:22:51,560
Speaker 1: be real.

479
00:22:51,600 --> 00:22:53,760
Speaker 3: It's like Twitter bro stuff. You know. It's it's just

480
00:22:53,840 --> 00:22:56,280
Speaker 3: like the.

481
00:22:54,840 --> 00:22:58,280
Speaker 1: The because I'm guilty of it at times too, Like like,

482
00:22:58,640 --> 00:23:01,640
Speaker 1: but I'm not fading or targeting players strictly because that thing.

483
00:23:02,040 --> 00:23:05,080
Speaker 1: I'm doing it to just like get get something out there,

484
00:23:05,440 --> 00:23:08,640
Speaker 1: to see how people react and get a conversation going,

485
00:23:08,680 --> 00:23:10,639
Speaker 1: you know about about a certain player, right, But the

486
00:23:10,720 --> 00:23:13,560
Speaker 1: Jordan Tyson stuff is really to me, I said it

487
00:23:13,600 --> 00:23:14,240
Speaker 1: all off season.

488
00:23:14,320 --> 00:23:15,600
Speaker 3: I feel like a broken record.

489
00:23:15,960 --> 00:23:18,040
Speaker 1: But I am kind of surprised the way that like

490
00:23:18,200 --> 00:23:22,080
Speaker 1: keep trade cut or even DraftKings best Ball. You know,

491
00:23:22,080 --> 00:23:23,879
Speaker 1: I've been doing a lot of early best Ball drafts

492
00:23:23,880 --> 00:23:26,360
Speaker 1: and such like. There's a there's a like not significant,

493
00:23:26,400 --> 00:23:28,960
Speaker 1: but there's a decent gap between Tate and Lemon. It

494
00:23:29,040 --> 00:23:30,959
Speaker 1: might not be as much after the steam that Tyson's

495
00:23:31,000 --> 00:23:33,040
Speaker 1: gotten over the last week, but there's been a decent

496
00:23:33,040 --> 00:23:36,199
Speaker 1: gap between tayt and Lemon to Jordan Tyson, and to

497
00:23:36,320 --> 00:23:39,760
Speaker 1: me analytically, this is the one on one profile, not

498
00:23:39,920 --> 00:23:42,359
Speaker 1: I mean a wide receiver, not with Jeremiah Love, but

499
00:23:42,680 --> 00:23:45,520
Speaker 1: this is the best production profile in my opinion, in

500
00:23:45,520 --> 00:23:48,240
Speaker 1: the class if he I have this in the prospect Guide.

501
00:23:48,320 --> 00:23:52,520
Speaker 1: But if Titan Tyson does get top twenty capital, which

502
00:23:52,520 --> 00:23:55,320
Speaker 1: just seems very likely at this point, he has a

503
00:23:55,359 --> 00:23:57,600
Speaker 1: breakout score of ninety five point one, which is a

504
00:23:57,680 --> 00:24:01,600
Speaker 1: ninety nine percentile breakout score because he dominated receiving yards

505
00:24:01,600 --> 00:24:04,040
Speaker 1: for team pass and ten pro rated as a freshman

506
00:24:04,119 --> 00:24:06,680
Speaker 1: like just age adjusted because he was a young freshman too,

507
00:24:06,720 --> 00:24:09,240
Speaker 1: which is really Cooe like like you said, he's twenty one,

508
00:24:09,600 --> 00:24:11,680
Speaker 1: and he's a four year college player, which does not.

509
00:24:11,680 --> 00:24:13,160
Speaker 3: Happen super super frequently.

510
00:24:13,280 --> 00:24:16,960
Speaker 1: So he's entering college at a young age. He dominates

511
00:24:16,960 --> 00:24:19,320
Speaker 1: at at Colorado, leading that team in receiving, so he

512
00:24:19,720 --> 00:24:21,720
Speaker 1: kind of starts his breakout score journey.

513
00:24:21,760 --> 00:24:24,679
Speaker 3: You know, it's triggered, and it's pretty good to start.

514
00:24:24,840 --> 00:24:26,359
Speaker 1: And then he has that third season which was just

515
00:24:26,400 --> 00:24:28,040
Speaker 1: out of control on a pro rated from a pro

516
00:24:28,119 --> 00:24:31,960
Speaker 1: rated perspective, but top twenty capital with breakout scores ninety

517
00:24:31,960 --> 00:24:34,800
Speaker 1: and above since twenty eleven, which is when the ZAP

518
00:24:34,840 --> 00:24:38,720
Speaker 1: model goes back to Mike Evans Sammy Watkins. Okay, it's

519
00:24:39,359 --> 00:24:42,120
Speaker 1: probably an l. I mean, he's he was still semi productive,

520
00:24:42,280 --> 00:24:42,879
Speaker 1: you know, like he.

521
00:24:42,920 --> 00:24:45,160
Speaker 4: Had that one season in Buffalo, Man.

522
00:24:45,359 --> 00:24:48,160
Speaker 1: Christ where we were ready, we were ready for something

523
00:24:48,200 --> 00:24:51,720
Speaker 1: good to happen there. Amari Cooper, which is a comp

524
00:24:51,760 --> 00:24:54,160
Speaker 1: that people have used for Jordan Tyson, which I think

525
00:24:54,160 --> 00:24:57,240
Speaker 1: if Jordan Tyson has an Amari Cooper fantasy trajectory of career,

526
00:24:57,280 --> 00:24:58,320
Speaker 1: we'd be fine.

527
00:24:58,160 --> 00:25:00,720
Speaker 3: With, right like he had a I'd be thrilled, Yeah, exactly.

528
00:25:01,480 --> 00:25:04,240
Speaker 1: Corey Davis, who I think is the scary downside case

529
00:25:04,280 --> 00:25:07,040
Speaker 1: for Jordan Tyson, but then there's Ceedee Lamb, Jamar Chase,

530
00:25:07,080 --> 00:25:08,280
Speaker 1: Chris Alave, Jackson.

531
00:25:08,040 --> 00:25:09,680
Speaker 3: Smith and Jigba and Malik Neighbors.

532
00:25:09,920 --> 00:25:13,919
Speaker 1: Like it's just hit after hit after hit with you know,

533
00:25:14,000 --> 00:25:16,760
Speaker 1: wide receiver is different from running back, where running back,

534
00:25:16,960 --> 00:25:19,040
Speaker 1: you know, Jeremiah Love's gonna almost definitely be a hit

535
00:25:19,160 --> 00:25:21,159
Speaker 1: just because of the way that the position kind of

536
00:25:21,440 --> 00:25:24,800
Speaker 1: structure is structured and how coaches can choose to feed guys,

537
00:25:24,840 --> 00:25:28,160
Speaker 1: and that's what really drives fantasy football. It's really hard

538
00:25:28,200 --> 00:25:30,280
Speaker 1: to find a hit rate with buckets, Like you know,

539
00:25:30,280 --> 00:25:32,439
Speaker 1: a bucket like that that's that much better, you know,

540
00:25:32,720 --> 00:25:35,439
Speaker 1: Like it's just it's a really really good situation for

541
00:25:35,480 --> 00:25:38,720
Speaker 1: Tyson to be in analytically. So I'm with you, Jordan Tyson,

542
00:25:38,760 --> 00:25:40,679
Speaker 1: Wide receiver one. Let's just cross our fingers that this

543
00:25:40,760 --> 00:25:41,880
Speaker 1: landing spot doesn't suck.

544
00:25:42,680 --> 00:25:42,960
Speaker 3: Please.

545
00:25:43,040 --> 00:25:45,960
Speaker 2: Yeah, I'm really hoping that he goes to Giants.

546
00:25:46,040 --> 00:25:47,160
Speaker 4: I'm in with him on the Giants seat.

547
00:25:47,200 --> 00:25:49,000
Speaker 2: I think it would operate well with Neighbors on the

548
00:25:49,240 --> 00:25:51,520
Speaker 2: X and then put Tyson in that kind of Wan

549
00:25:51,600 --> 00:25:54,600
Speaker 2: Dale role. But he's a better Wandale Robinson, so I

550
00:25:54,680 --> 00:25:57,119
Speaker 2: think that that would be incredible for him. I'll take

551
00:25:57,160 --> 00:25:59,560
Speaker 2: Kansas City, I'll take New Orleans. Yeah, you know, I'll

552
00:25:59,600 --> 00:26:02,600
Speaker 2: take washing I don't really think outside of Cleveland that

553
00:26:02,640 --> 00:26:04,480
Speaker 2: there's like, I'll even take Miami for him.

554
00:26:04,560 --> 00:26:05,600
Speaker 3: On Cleveland would suck.

555
00:26:05,800 --> 00:26:08,359
Speaker 1: I mean, Tennessee is still a possibility, which would be

556
00:26:08,440 --> 00:26:11,160
Speaker 1: kind of interesting, just because there's not much in his way,

557
00:26:11,320 --> 00:26:13,280
Speaker 1: you know, in terms of just like yeah, and what

558
00:26:13,359 --> 00:26:16,520
Speaker 1: if cam Ward is better than what most people expect.

559
00:26:16,520 --> 00:26:19,480
Speaker 1: I mean, there's just that possibility at least. I guess

560
00:26:19,480 --> 00:26:21,720
Speaker 1: I'm really just like Cleveland would scare the crap out

561
00:26:21,760 --> 00:26:21,879
Speaker 1: of me.

562
00:26:21,960 --> 00:26:23,520
Speaker 3: I think I think Miami is.

563
00:26:23,520 --> 00:26:27,400
Speaker 1: Still scary too, even though there's no wide receivers there.

564
00:26:27,920 --> 00:26:30,000
Speaker 1: You know, he could get fed, but it's still like,

565
00:26:30,800 --> 00:26:33,200
Speaker 1: you know, I'm thinking like long term two and I

566
00:26:34,040 --> 00:26:37,120
Speaker 1: don't know, I Malik Willis is a very very big

567
00:26:37,200 --> 00:26:39,240
Speaker 1: question mark right now, but he is.

568
00:26:39,480 --> 00:26:39,720
Speaker 4: Yeah.

569
00:26:39,800 --> 00:26:42,040
Speaker 2: It reminds me of like Jaylen Wattles rookie year though,

570
00:26:42,080 --> 00:26:44,000
Speaker 2: where he just kind of got fed by Tua.

571
00:26:44,200 --> 00:26:44,920
Speaker 4: I think was a top.

572
00:26:45,119 --> 00:26:47,840
Speaker 2: I think he was a fantasy wide receiver one that year. Yeah,

573
00:26:47,960 --> 00:26:50,560
Speaker 2: I've heard Harmon say that, you know, if Tyson or

574
00:26:50,640 --> 00:26:54,159
Speaker 2: Lemon or whoever, goes to Miami, could have sort of

575
00:26:54,200 --> 00:26:57,080
Speaker 2: like a Drake London start to his year, a Garrett

576
00:26:57,119 --> 00:26:59,600
Speaker 2: Wilson start to his career, where it's just kind of like,

577
00:27:00,119 --> 00:27:02,240
Speaker 2: you know, he's in that nine hundred to two thousand

578
00:27:02,280 --> 00:27:05,720
Speaker 2: yard range, which is good, but is it actually good?

579
00:27:05,840 --> 00:27:07,320
Speaker 2: And then it takes a few years for the team

580
00:27:07,359 --> 00:27:08,960
Speaker 2: actually gets better for him to catch up.

581
00:27:09,240 --> 00:27:11,000
Speaker 1: The good news though, is that when I've found at

582
00:27:11,080 --> 00:27:13,960
Speaker 1: least when wide receivers have this kind of draft capital

583
00:27:13,960 --> 00:27:16,040
Speaker 1: associated with them, it seems like the dynasty market is

584
00:27:16,040 --> 00:27:16,800
Speaker 1: going to be more forgiving.

585
00:27:16,840 --> 00:27:18,840
Speaker 3: I mean they've been forgiving with Roma Dunes that more.

586
00:27:19,080 --> 00:27:21,560
Speaker 1: I honestly think I guess A Dunsay had a good

587
00:27:21,600 --> 00:27:23,760
Speaker 1: start to last year, but it is a little bit

588
00:27:23,800 --> 00:27:26,480
Speaker 1: surprising to me that he still has the not to

589
00:27:26,480 --> 00:27:28,320
Speaker 1: say that's right or wrong, it's just surprising to me

590
00:27:28,359 --> 00:27:29,600
Speaker 1: that he has the.

591
00:27:31,119 --> 00:27:34,000
Speaker 3: Value in the dynasty market still, you know where he is.

592
00:27:34,240 --> 00:27:38,000
Speaker 1: Just because I feel like traditionally maybe like five six,

593
00:27:38,080 --> 00:27:42,160
Speaker 1: seven years ago, after two years of you know, year one,

594
00:27:42,280 --> 00:27:45,880
Speaker 1: very if he production and per routerun efficiency, last year

595
00:27:45,920 --> 00:27:48,639
Speaker 1: was definitely better, and we're seeing the ecosystem he's in,

596
00:27:48,640 --> 00:27:50,200
Speaker 1: which is I think I think is doing a lot

597
00:27:50,200 --> 00:27:54,080
Speaker 1: of the work to keep him afloat, but regardless, like

598
00:27:54,320 --> 00:27:56,040
Speaker 1: feels like dynasty managers used to.

599
00:27:56,119 --> 00:27:57,600
Speaker 3: Be like, nah, I'm done, you know, I'm just I

600
00:27:57,640 --> 00:27:58,800
Speaker 3: don't I don't want this anymore.

601
00:27:58,840 --> 00:28:00,920
Speaker 1: But the fact that he had that top ten capital,

602
00:28:01,359 --> 00:28:04,200
Speaker 1: I think is what will at least give these guys like.

603
00:28:04,160 --> 00:28:06,080
Speaker 3: An extra year almost, you know.

604
00:28:06,240 --> 00:28:08,800
Speaker 1: So if Tyson does get that, which it sounds like

605
00:28:08,800 --> 00:28:10,960
Speaker 1: it's trending in that direction, I think that also helps

606
00:28:10,960 --> 00:28:12,199
Speaker 1: his dynasty value overall.

607
00:28:12,200 --> 00:28:12,400
Speaker 3: Too.

608
00:28:13,280 --> 00:28:13,560
Speaker 4: Yeah.

609
00:28:13,640 --> 00:28:15,280
Speaker 2: I kind of feel that way about Marv though too,

610
00:28:15,359 --> 00:28:19,040
Speaker 2: Like Marv, Yeah, I think Odoonsay's situation looks better.

611
00:28:19,119 --> 00:28:21,480
Speaker 3: Marv's probably the better example of Yeah.

612
00:28:21,280 --> 00:28:22,919
Speaker 4: Yeah, Marv.

613
00:28:23,040 --> 00:28:25,280
Speaker 2: I mean, Marv was labeled as one of the best

614
00:28:25,640 --> 00:28:28,399
Speaker 2: wide receiver prospects of all time, so I'm wondering how

615
00:28:28,480 --> 00:28:31,440
Speaker 2: much of leeway is he's still getting for that. But yeah,

616
00:28:31,480 --> 00:28:34,080
Speaker 2: I mean, these wide receivers have a lot of insulated

617
00:28:34,200 --> 00:28:36,480
Speaker 2: value for sure. I mean, I think that's that's gonna

618
00:28:36,480 --> 00:28:39,520
Speaker 2: be a positive for all three of these guys, because

619
00:28:39,520 --> 00:28:42,200
Speaker 2: it seems like Carnel Tate's gonna be a top ten pick. Lemon,

620
00:28:42,600 --> 00:28:45,600
Speaker 2: I don't know if he's top ten he might get there,

621
00:28:45,640 --> 00:28:48,360
Speaker 2: but I mean he's probably a top fifteen pick, top twelve,

622
00:28:49,160 --> 00:28:50,680
Speaker 2: and I think all three of these guys are going

623
00:28:50,760 --> 00:28:51,480
Speaker 2: to have really.

624
00:28:51,320 --> 00:28:52,880
Speaker 4: Really good insulated value.

625
00:28:52,880 --> 00:28:55,880
Speaker 2: It's kind of a similar argument for Mendoza, even if

626
00:28:55,880 --> 00:28:58,360
Speaker 2: he doesn't start right away or has a little bit

627
00:28:58,360 --> 00:29:00,800
Speaker 2: of tougher translation, because you know, we don't really view

628
00:29:00,880 --> 00:29:04,600
Speaker 2: him as like the greatest quarterback prospect coming out. He's

629
00:29:04,600 --> 00:29:08,320
Speaker 2: got this Kirk Cousins, Jered Goff kind of or about him,

630
00:29:08,960 --> 00:29:11,240
Speaker 2: but still as like the first overall pick in the

631
00:29:11,360 --> 00:29:15,120
Speaker 2: NFL draft. He's he's gonna have insulated value. I think

632
00:29:15,320 --> 00:29:17,200
Speaker 2: any pick in the top five for rookie drafts is

633
00:29:17,280 --> 00:29:21,520
Speaker 2: here seems pretty safe. It's just kind of maximize for

634
00:29:22,040 --> 00:29:23,680
Speaker 2: that early ceiling.

635
00:29:23,960 --> 00:29:26,120
Speaker 1: Yeah, like you you'll have an off ramp, you know,

636
00:29:26,160 --> 00:29:28,440
Speaker 1: I think after year one, if you're like, I really

637
00:29:28,480 --> 00:29:30,320
Speaker 1: don't know if this dude is it, Like I I

638
00:29:30,320 --> 00:29:32,160
Speaker 1: think that we had the off ramp for like I

639
00:29:32,200 --> 00:29:34,240
Speaker 1: mean I had the infamous Room a Dunza trade that

640
00:29:34,280 --> 00:29:36,200
Speaker 1: I did last year. I got blasted for where I

641
00:29:36,200 --> 00:29:38,320
Speaker 1: gave up a Dunza for like the one O eight

642
00:29:38,400 --> 00:29:40,440
Speaker 1: because I figured the one O eight at worst was

643
00:29:40,440 --> 00:29:42,400
Speaker 1: going to be a Meca Buca, And I thought this

644
00:29:42,520 --> 00:29:45,280
Speaker 1: was like a reroll situation from a Dunza to Abuka,

645
00:29:45,680 --> 00:29:48,200
Speaker 1: where we already saw what we got with a Dunza,

646
00:29:48,480 --> 00:29:50,520
Speaker 1: and you know, I don't want to make too many

647
00:29:50,560 --> 00:29:54,360
Speaker 1: excuses for players, and so you know, I went that route,

648
00:29:54,800 --> 00:29:57,800
Speaker 1: and yes, I'm gonna, I'm gonna. I'm happy that that

649
00:29:57,800 --> 00:30:01,680
Speaker 1: that trade with that that I would be. Yeah, but like,

650
00:30:01,680 --> 00:30:04,160
Speaker 1: like I do think that, like that's the beauty of

651
00:30:04,200 --> 00:30:07,640
Speaker 1: investing in these positions like this is that and why

652
00:30:07,800 --> 00:30:10,520
Speaker 1: we should worry about draft capital is because of consensus.

653
00:30:10,520 --> 00:30:13,120
Speaker 1: And if the market is worrying about draft capital, we

654
00:30:13,240 --> 00:30:14,480
Speaker 1: have that insulated value.

655
00:30:14,480 --> 00:30:17,040
Speaker 3: Like you said that you will have an opportunity to.

656
00:30:17,000 --> 00:30:19,440
Speaker 1: Get off unless it's just a complete disaster, you know,

657
00:30:19,520 --> 00:30:22,720
Speaker 1: which I don't think these wide receivers necessarily show that.

658
00:30:22,800 --> 00:30:26,640
Speaker 1: But it's a good transition to Carnel Tate because I've

659
00:30:26,680 --> 00:30:29,960
Speaker 1: had Matt Harmon on, I've had Matt Waldman on. Both

660
00:30:30,000 --> 00:30:31,959
Speaker 1: of them are very high, not very high, but they

661
00:30:32,040 --> 00:30:34,360
Speaker 1: like Carnel Tait as the wide receiver one in this class.

662
00:30:35,160 --> 00:30:37,280
Speaker 1: It seems like a lot of people like Carnel Tait

663
00:30:37,360 --> 00:30:39,440
Speaker 1: as the wide receiver one in this class. But we

664
00:30:39,520 --> 00:30:42,040
Speaker 1: had a discussion on your show, and you have some

665
00:30:42,360 --> 00:30:45,560
Speaker 1: red flags in the marker system with Carnel Tate, So

666
00:30:45,560 --> 00:30:47,080
Speaker 1: talk about it. I'm really interested to hear this.

667
00:30:48,000 --> 00:30:53,640
Speaker 2: Yeah, so Carnal Tate grades out currently projected grades, but

668
00:30:53,760 --> 00:30:57,200
Speaker 2: he's going to be somewhere in the sixties and that

669
00:30:57,720 --> 00:31:00,000
Speaker 2: ye for reference, you know, I mentioned Jordan Tysons get

670
00:31:00,080 --> 00:31:02,400
Speaker 2: to be eighty five. Makayle Lemon's probably going to be

671
00:31:02,520 --> 00:31:06,080
Speaker 2: in the you know, load to mid seventies based on

672
00:31:06,120 --> 00:31:10,440
Speaker 2: some of his earlier adjusted production and stuff. And Carlo

673
00:31:10,520 --> 00:31:14,760
Speaker 2: Tate's down in the sixties. Now, I feel like most

674
00:31:14,840 --> 00:31:17,600
Speaker 2: people from a Dynasty standpoint. Now, obviously I want to

675
00:31:17,640 --> 00:31:19,600
Speaker 2: say this, he is my wide receiver three, so like

676
00:31:19,720 --> 00:31:22,400
Speaker 2: he is my wide receiver three. Subjectively, I'm a Penn

677
00:31:22,440 --> 00:31:25,040
Speaker 2: State fan. I watched him torch my Ninny Lions. I'm

678
00:31:25,080 --> 00:31:27,280
Speaker 2: in that big ten area as well, so like I

679
00:31:27,360 --> 00:31:31,800
Speaker 2: understand what car Tate can do. Film wise, I've listened

680
00:31:31,800 --> 00:31:33,280
Speaker 2: to Harmon, I've listened to Wallman, I've listened to so

681
00:31:33,280 --> 00:31:35,680
Speaker 2: many different people who have him as their wide receiver

682
00:31:35,720 --> 00:31:40,160
Speaker 2: one from the film. The numbers scare me though, because

683
00:31:40,160 --> 00:31:42,320
Speaker 2: in the sixties. That means he's not all that different

684
00:31:42,360 --> 00:31:45,880
Speaker 2: than you know, Casey and Boston and Omar Cooper.

685
00:31:45,920 --> 00:31:48,400
Speaker 4: He's not in the quote unquote Big three.

686
00:31:48,520 --> 00:31:52,320
Speaker 2: It'd be Tyson than Lemon and then kind of like

687
00:31:52,400 --> 00:31:55,600
Speaker 2: the second group of four guys with Tate included. If

688
00:31:55,600 --> 00:31:58,680
Speaker 2: you're going off of my marker system. The thing that

689
00:31:58,720 --> 00:32:01,320
Speaker 2: scares me a little bit is that we have sort

690
00:32:01,320 --> 00:32:04,800
Speaker 2: of applied this Ohio State aura to any of these

691
00:32:04,840 --> 00:32:05,960
Speaker 2: first round wide receivers.

692
00:32:06,000 --> 00:32:07,280
Speaker 4: I mean, it's a pretty good track record.

693
00:32:07,320 --> 00:32:11,800
Speaker 2: You've got a Lave Wilson, JSN, marv Abuka, now we've

694
00:32:11,800 --> 00:32:14,000
Speaker 2: got Cardinal Tate. We're gonna have Jeremi Smith coming out.

695
00:32:14,040 --> 00:32:16,120
Speaker 2: I heard about this other kid that they got as

696
00:32:16,120 --> 00:32:18,040
Speaker 2: a freshman. I think his name is Chris Henry Junior.

697
00:32:18,640 --> 00:32:20,960
Speaker 2: He's going to be like the twenty twenty nine or

698
00:32:21,000 --> 00:32:24,360
Speaker 2: twenty thirty wide receiver one, I'm sure, and he's just

699
00:32:24,360 --> 00:32:26,200
Speaker 2: going to destroy Penn State every single time that he

700
00:32:26,240 --> 00:32:29,760
Speaker 2: gets a chance to. But like, they've got a tremendous

701
00:32:29,800 --> 00:32:32,080
Speaker 2: track record for this, and I think that we are

702
00:32:32,160 --> 00:32:35,240
Speaker 2: overlooking a lot of the issues with Carnel Tate's production

703
00:32:35,320 --> 00:32:38,920
Speaker 2: profile because he's been playing with some of these other

704
00:32:38,960 --> 00:32:41,600
Speaker 2: really good wide receivers, and that's worked for the other guys,

705
00:32:42,040 --> 00:32:44,080
Speaker 2: and so it should just work for Cardinal Tate. But

706
00:32:44,400 --> 00:32:46,600
Speaker 2: when you compare him and just put his numbers up

707
00:32:46,920 --> 00:32:50,400
Speaker 2: with all the other guys, it's six total players, Olave Wilson,

708
00:32:50,440 --> 00:32:54,480
Speaker 2: Jason marv Abuka, Tate, all all of them have a

709
00:32:54,600 --> 00:32:58,239
Speaker 2: twenty percent breakout age. But the other five did it

710
00:32:58,360 --> 00:33:00,640
Speaker 2: in year two, Carnel Tate did it in year three.

711
00:33:00,680 --> 00:33:02,920
Speaker 2: And again they're all playing with each other as well,

712
00:33:03,000 --> 00:33:06,120
Speaker 2: So Tate's playing with arguably the best wide receiver out

713
00:33:06,120 --> 00:33:08,680
Speaker 2: of Ohio State. But all of those other guys played

714
00:33:08,720 --> 00:33:11,840
Speaker 2: in and amongst themselves throughout various years, So Carnal Tate

715
00:33:11,880 --> 00:33:15,080
Speaker 2: took one extra year to have that twenty percent dominate

716
00:33:15,080 --> 00:33:17,960
Speaker 2: a rating threshold you look at a best seasons yard

717
00:33:18,040 --> 00:33:20,520
Speaker 2: for team pass t raw yards per team pass attempt.

718
00:33:21,080 --> 00:33:24,400
Speaker 2: Four of the five other guys had over three yards

719
00:33:24,400 --> 00:33:26,760
Speaker 2: per team pass attempt. Abuca did not. He was at

720
00:33:26,760 --> 00:33:29,800
Speaker 2: two point eight. Carnal Tate is at two point one

721
00:33:30,000 --> 00:33:33,520
Speaker 2: four market share of yards. All of the other four

722
00:33:33,560 --> 00:33:36,680
Speaker 2: guys had over thirty two percent of market share. Abuca

723
00:33:36,760 --> 00:33:39,480
Speaker 2: was at twenty nine point seven carnal Tate is at

724
00:33:39,520 --> 00:33:43,000
Speaker 2: twenty three point three. You look at raw receiving yards

725
00:33:43,040 --> 00:33:45,440
Speaker 2: per game, all of them are over fifty seven. Carnal

726
00:33:45,480 --> 00:33:48,720
Speaker 2: Tate is sub fifty best season of Fantasy points per game.

727
00:33:49,120 --> 00:33:51,640
Speaker 2: The main four are over twenty three. Abuku is at

728
00:33:51,640 --> 00:33:55,080
Speaker 2: almost twenty one, Carnal Tate is at seventeen point six.

729
00:33:55,400 --> 00:33:58,200
Speaker 2: Then you also look I have another series of markers

730
00:33:58,800 --> 00:34:01,600
Speaker 2: that are the advanced markers for yards per out, run targets,

731
00:34:01,640 --> 00:34:04,560
Speaker 2: per oute, run first downs, per out run, contested catches,

732
00:34:04,600 --> 00:34:07,120
Speaker 2: all of that kind of stuff. This to me is

733
00:34:07,480 --> 00:34:11,160
Speaker 2: my way of seeing do your per route does your

734
00:34:11,200 --> 00:34:14,960
Speaker 2: per route production match your career or seasonal production. And

735
00:34:15,520 --> 00:34:18,480
Speaker 2: I found a lot of success in comparing those two numbers,

736
00:34:18,719 --> 00:34:21,360
Speaker 2: and if there's any mismatches in any one way or another,

737
00:34:21,719 --> 00:34:25,040
Speaker 2: that could signal either good or bad things. The other

738
00:34:25,520 --> 00:34:29,960
Speaker 2: five Ohio state wide receivers, out of seventeen advanced markers

739
00:34:29,960 --> 00:34:32,480
Speaker 2: that I have for wide receivers, all of them were

740
00:34:32,560 --> 00:34:35,399
Speaker 2: in the double digits. Garrett Wilson was at a ten.

741
00:34:35,520 --> 00:34:38,919
Speaker 2: JSM was at fifteen, Abuco was at twelve last year.

742
00:34:39,520 --> 00:34:42,480
Speaker 2: Carnel Tate's at five. So that's also pointing me to

743
00:34:43,440 --> 00:34:46,239
Speaker 2: he doesn't have the career or seasonal production that the

744
00:34:46,280 --> 00:34:49,600
Speaker 2: other guys had. He doesn't have the per route production

745
00:34:49,719 --> 00:34:51,879
Speaker 2: and success that the other guys had. He's the only

746
00:34:51,920 --> 00:34:53,719
Speaker 2: one of the group that had under two point six

747
00:34:53,760 --> 00:34:55,440
Speaker 2: career yards per out run, under two and a half

748
00:34:55,520 --> 00:34:58,440
Speaker 2: yards per out run versus zone under twenty five percent,

749
00:34:58,440 --> 00:35:01,120
Speaker 2: targets per route run under twenty tweve percent first downs

750
00:35:01,120 --> 00:35:03,719
Speaker 2: per route run. He's sub five yards after the catch

751
00:35:03,760 --> 00:35:08,160
Speaker 2: per reception. He's also relatively high overall in terms of

752
00:35:08,160 --> 00:35:10,239
Speaker 2: the number of targets that he saw that were contested,

753
00:35:10,560 --> 00:35:16,040
Speaker 2: which could kind of insinuate maybe separation issues or that

754
00:35:16,160 --> 00:35:18,239
Speaker 2: vertical route tree that Harmon talks about a lot for

755
00:35:18,400 --> 00:35:22,200
Speaker 2: him as an ex receiver. Marvin Harrison Junior also kind

756
00:35:22,239 --> 00:35:24,160
Speaker 2: of had that, and we've seen one of the main

757
00:35:24,960 --> 00:35:27,160
Speaker 2: reasons that people point to as to why Marv hasn't

758
00:35:27,160 --> 00:35:30,520
Speaker 2: necessarily translated yet is perhaps some of this lack of

759
00:35:30,520 --> 00:35:33,879
Speaker 2: separational issues that he thrived on in Ohio state because

760
00:35:33,880 --> 00:35:36,239
Speaker 2: he's tremendous, but when you get to the NFL that

761
00:35:36,280 --> 00:35:39,440
Speaker 2: doesn't necessarily slide as well. So carnal Tate kind of

762
00:35:39,480 --> 00:35:42,680
Speaker 2: has that similar issues. Maybe Marv had collegiately in terms

763
00:35:42,719 --> 00:35:46,600
Speaker 2: of contested catches and target shaff contested catches. So there's

764
00:35:46,680 --> 00:35:49,560
Speaker 2: just a lot of stuff in here that scares me

765
00:35:49,600 --> 00:35:52,719
Speaker 2: about Carnal Tate's profile. Analytically. Of course, the film's going

766
00:35:52,800 --> 00:35:55,759
Speaker 2: to look way better if you're just watching the film

767
00:35:55,840 --> 00:35:58,640
Speaker 2: and everything like that, and you can make the excuse of, well,

768
00:35:58,640 --> 00:36:01,160
Speaker 2: he's opposite of Jeremiah Smith. You're gonna throw to Jeremia

769
00:36:01,239 --> 00:36:03,799
Speaker 2: Smith more so than Carnel Tate, and he's not gonna

770
00:36:03,800 --> 00:36:07,279
Speaker 2: play with it. Jeremiah Smith in the NFL, supposedly he

771
00:36:07,360 --> 00:36:08,959
Speaker 2: might be the wide receiver one for his team.

772
00:36:09,400 --> 00:36:13,080
Speaker 4: But I'm wondering if he's.

773
00:36:12,880 --> 00:36:15,960
Speaker 2: Just not going to translate as well as Lemon or

774
00:36:16,000 --> 00:36:18,799
Speaker 2: Tyson or you know, compared to the other Ohio state

775
00:36:18,800 --> 00:36:21,480
Speaker 2: wide receivers that came before him, because he doesn't have

776
00:36:21,520 --> 00:36:22,960
Speaker 2: all of these analytical thresholds.

777
00:36:23,400 --> 00:36:25,880
Speaker 1: I think so the way that the ZA model views things,

778
00:36:25,960 --> 00:36:30,920
Speaker 1: first off, that was a great breakdown. But the way

779
00:36:30,920 --> 00:36:33,799
Speaker 1: the ZA model views things is in agreement that he

780
00:36:33,920 --> 00:36:37,239
Speaker 1: is the worst Ohio state wide receiver to come out

781
00:36:37,320 --> 00:36:40,719
Speaker 1: over the last five years or what have you. Right, Obviously,

782
00:36:40,760 --> 00:36:43,040
Speaker 1: the pushback is, well, those guys are all really good.

783
00:36:43,320 --> 00:36:45,160
Speaker 1: So if he's the worst, he can still be good.

784
00:36:45,520 --> 00:36:47,799
Speaker 1: But I think what's interesting what you're saying is that

785
00:36:47,880 --> 00:36:51,360
Speaker 1: like it's not close, right, Like it seems.

786
00:36:51,000 --> 00:36:52,919
Speaker 3: Like am I interpreting that wrong?

787
00:36:53,000 --> 00:36:54,960
Speaker 1: Like you're saying, like no, from what the yeah, from

788
00:36:54,960 --> 00:36:57,280
Speaker 1: what the Marcus system is saying, is that it's really

789
00:36:57,320 --> 00:37:01,399
Speaker 1: not a close discussion between even Abuka, who I think

790
00:37:01,440 --> 00:37:04,160
Speaker 1: would be the consensus, you know, lower than the rest,

791
00:37:04,160 --> 00:37:05,960
Speaker 1: which I think he's the lowest in mind as well,

792
00:37:06,000 --> 00:37:08,440
Speaker 1: even though the model wiped him a decent bit, you know,

793
00:37:08,560 --> 00:37:11,600
Speaker 1: he's still he's still a decent bit lower than a Buka,

794
00:37:11,920 --> 00:37:15,360
Speaker 1: And that's that's pretty scary overall.

795
00:37:15,400 --> 00:37:17,719
Speaker 3: I mean, I does this point to also.

796
00:37:17,680 --> 00:37:21,600
Speaker 1: The idea that what I've kind of thrown around, this

797
00:37:21,719 --> 00:37:23,839
Speaker 1: idea that that he could just be better in real

798
00:37:23,880 --> 00:37:26,520
Speaker 1: football than in fantasy football because he wasn't he wasn't

799
00:37:26,520 --> 00:37:28,840
Speaker 1: a target getter. And I understand, like going to what

800
00:37:28,880 --> 00:37:30,719
Speaker 1: you said about Jeremiah Smith, I.

801
00:37:30,680 --> 00:37:31,239
Speaker 3: Get all that.

802
00:37:31,400 --> 00:37:34,279
Speaker 1: It's it's I think part of the problem in this discussion,

803
00:37:34,640 --> 00:37:36,359
Speaker 1: not the one that you're having, but the way that

804
00:37:36,520 --> 00:37:40,240
Speaker 1: the masses have it with this is that we say, oh,

805
00:37:40,280 --> 00:37:44,279
Speaker 1: there's competition, therefore we can kind of wipe out any

806
00:37:44,760 --> 00:37:47,480
Speaker 1: red flags or question marks we could have about this profile,

807
00:37:47,840 --> 00:37:50,880
Speaker 1: similar to Jendarium Price right, where it's like, oh, we

808
00:37:50,920 --> 00:37:55,000
Speaker 1: play with Jeremiah Love, therefore his production profile doesn't actually matter.

809
00:37:55,120 --> 00:37:57,160
Speaker 3: It's like, Okay, let's let's start here.

810
00:37:57,239 --> 00:38:01,440
Speaker 1: Let's say, yes, there's competition problems for like, obviously Jeremiah

811
00:38:01,440 --> 00:38:05,520
Speaker 1: Smith is elite, and I've actually found that teammate score

812
00:38:05,560 --> 00:38:09,240
Speaker 1: matters at wide receiver. So sure, I get the argument

813
00:38:09,280 --> 00:38:11,160
Speaker 1: for that, But how far do you take that?

814
00:38:11,320 --> 00:38:11,880
Speaker 3: Is the question?

815
00:38:12,000 --> 00:38:14,720
Speaker 1: Right, And I think it's a hard thing for anyone

816
00:38:14,760 --> 00:38:17,680
Speaker 1: to answer. It's certainly a hard thing for someone who's

817
00:38:17,680 --> 00:38:21,280
Speaker 1: going to be more quantitative to answer to, like directly answer.

818
00:38:21,640 --> 00:38:23,960
Speaker 1: But like, do you think that that's certainly playing a

819
00:38:24,040 --> 00:38:26,640
Speaker 1: role in how people are kind of dismissing some of

820
00:38:26,640 --> 00:38:27,680
Speaker 1: the stuff with Carnel Tate.

821
00:38:28,520 --> 00:38:28,840
Speaker 4: Yeah.

822
00:38:28,880 --> 00:38:31,759
Speaker 2: Absolutely. It's the House State track record. It's you know,

823
00:38:31,800 --> 00:38:33,879
Speaker 2: we know how great Jeremiah Smith is. I mean you

824
00:38:33,920 --> 00:38:36,160
Speaker 2: just look at his stat lines from the past two years.

825
00:38:36,200 --> 00:38:37,280
Speaker 2: It's absolutely insane.

826
00:38:37,520 --> 00:38:39,719
Speaker 3: I mean, he's going to break our models for the record.

827
00:38:39,640 --> 00:38:43,360
Speaker 2: He really is. Like it's it's incredible. So Yeah, So

828
00:38:43,440 --> 00:38:45,520
Speaker 2: there is I think just a lot of excuses being

829
00:38:45,520 --> 00:38:48,800
Speaker 2: made for Cardinal Tait because of what the other Ohio

830
00:38:48,880 --> 00:38:52,040
Speaker 2: State players have done and the competition that he I mean,

831
00:38:52,080 --> 00:38:54,920
Speaker 2: he also played with Abuka as well, so you know,

832
00:38:55,000 --> 00:38:57,719
Speaker 2: he was for some of his career, he was the

833
00:38:57,719 --> 00:39:00,600
Speaker 2: wide receiver three on his own team, so kind of

834
00:39:00,640 --> 00:39:02,920
Speaker 2: make a little bit of an excuse. But you know

835
00:39:03,080 --> 00:39:05,440
Speaker 2: the fact that even last year, when he has a

836
00:39:05,480 --> 00:39:09,040
Speaker 2: Heisman candidate quarterback in Julian Saying, and he is the

837
00:39:09,080 --> 00:39:13,279
Speaker 2: wide receiver two behind Jeremiah Smith, that he's still not

838
00:39:13,440 --> 00:39:15,799
Speaker 2: even getting close to some of the other thresholds that

839
00:39:16,160 --> 00:39:20,040
Speaker 2: Abuka had across from Marv, that Jaysn had with Marv

840
00:39:20,160 --> 00:39:22,879
Speaker 2: or you know, behind a Lave and Garrett Wilson as well.

841
00:39:23,480 --> 00:39:25,640
Speaker 2: That's really scary to me. Like, and I do agree

842
00:39:25,680 --> 00:39:27,719
Speaker 2: with you, I think that he could fit more in

843
00:39:27,760 --> 00:39:30,360
Speaker 2: the bucket of better for real life than for fantasy

844
00:39:30,800 --> 00:39:34,759
Speaker 2: as kind of like I've kind of used Quentin Johnson's

845
00:39:34,880 --> 00:39:37,560
Speaker 2: role on the Chargers the past couple of years as

846
00:39:37,640 --> 00:39:40,319
Speaker 2: kind of an example of just like he's this X guy.

847
00:39:40,680 --> 00:39:42,719
Speaker 2: He can make some really good catches, he can have

848
00:39:42,760 --> 00:39:45,640
Speaker 2: some massive games, but you know, depending on the situation

849
00:39:45,880 --> 00:39:49,040
Speaker 2: and the quarterback play that he also gets teamed up with.

850
00:39:49,400 --> 00:39:51,719
Speaker 2: You know, it could be really impactful on what he

851
00:39:51,840 --> 00:39:56,160
Speaker 2: actually is able to produce from a fantasy football standpoint.

852
00:39:56,280 --> 00:39:59,399
Speaker 2: And if if you're just saying that, you know, he's

853
00:39:59,400 --> 00:40:01,479
Speaker 2: the wide receiver one in this class because his film

854
00:40:01,520 --> 00:40:04,560
Speaker 2: looks so great, but the production may not follow. That's

855
00:40:04,600 --> 00:40:06,840
Speaker 2: not going to be worth the one oh two the

856
00:40:06,840 --> 00:40:09,960
Speaker 2: one oh three in Dynasty rookie draft because I think

857
00:40:10,000 --> 00:40:12,880
Speaker 2: it might be you know, a really slow start for him.

858
00:40:12,880 --> 00:40:14,880
Speaker 2: If he's in the eight to nine hundred yard range

859
00:40:15,480 --> 00:40:19,280
Speaker 2: at best with maybe five six seven touchdowns, like that's

860
00:40:19,400 --> 00:40:22,560
Speaker 2: not gonna cut it for fantasy production at.

861
00:40:22,520 --> 00:40:24,799
Speaker 3: All post draft? Do you think that?

862
00:40:24,880 --> 00:40:26,719
Speaker 1: Because because I'll just be hon it like I think

863
00:40:26,719 --> 00:40:30,359
Speaker 1: post draft, I'll probably have Makaya Lemon, and carnal Tate

864
00:40:30,400 --> 00:40:32,399
Speaker 1: depending on draft capital, so don't hold me to it,

865
00:40:32,719 --> 00:40:35,640
Speaker 1: probably in the same tier. But are you are you

866
00:40:35,719 --> 00:40:37,879
Speaker 1: looking at this and you're saying you will probably have

867
00:40:38,239 --> 00:40:39,799
Speaker 1: Lemon a tier ahead of carnal Tate.

868
00:40:40,440 --> 00:40:44,600
Speaker 2: I I go back and forth on it. The draft

869
00:40:44,680 --> 00:40:46,600
Speaker 2: capital is going to be so high for carnal Tate

870
00:40:46,640 --> 00:40:49,960
Speaker 2: that it's going to be hard for me to take

871
00:40:50,000 --> 00:40:54,799
Speaker 2: him out of that discussion. And I also i've i've

872
00:40:54,880 --> 00:40:56,800
Speaker 2: kind of been wanting him to be the Cleveland Browns

873
00:40:56,840 --> 00:40:57,520
Speaker 2: pick at six.

874
00:40:58,000 --> 00:40:59,320
Speaker 3: It way easier.

875
00:40:59,440 --> 00:41:01,560
Speaker 4: Yeah, I could just wash my hands of it.

876
00:41:01,640 --> 00:41:03,640
Speaker 2: I don't like Carneal tATu as a prospect as much

877
00:41:03,640 --> 00:41:05,320
Speaker 2: as other people. And then he goes to Cleveland, I

878
00:41:05,320 --> 00:41:06,800
Speaker 2: don't even gotta worry about it. But like if he

879
00:41:06,880 --> 00:41:11,160
Speaker 2: went to Washington or New Orleans or Kansas City or

880
00:41:11,200 --> 00:41:13,759
Speaker 2: anything like that, and like, now now I can tuck

881
00:41:13,800 --> 00:41:17,319
Speaker 2: myself into the landing spot in the situation, I'm gonna

882
00:41:17,320 --> 00:41:19,319
Speaker 2: be more scared of that personally, but I think it's

883
00:41:19,360 --> 00:41:21,600
Speaker 2: gonna be a lot harder to move him out of

884
00:41:21,640 --> 00:41:23,920
Speaker 2: that kind of second tier. Like if you've got Jeremi

885
00:41:24,000 --> 00:41:25,759
Speaker 2: Love is a tier of his own, Yeah, then you've

886
00:41:25,800 --> 00:41:27,880
Speaker 2: got the other three wide receivers, and then Mendoza in

887
00:41:27,920 --> 00:41:31,080
Speaker 2: super flex leaves that feels like the consensus tier one,

888
00:41:31,120 --> 00:41:35,080
Speaker 2: tier two. And I'm still there right now. I'm probably

889
00:41:35,080 --> 00:41:37,200
Speaker 2: still going to be their post strap as well, unless,

890
00:41:37,600 --> 00:41:39,560
Speaker 2: like if he is the Cleveland Browns pick at six,

891
00:41:40,360 --> 00:41:42,239
Speaker 2: that might be really what kicks him down.

892
00:41:42,520 --> 00:41:44,640
Speaker 1: Yeah, And then like I think there is a scenario

893
00:41:44,719 --> 00:41:46,959
Speaker 1: where like I'll have Jordan Tyson in his own tier,

894
00:41:47,040 --> 00:41:49,600
Speaker 1: like there's at least an outcome here where like he

895
00:41:49,760 --> 00:41:52,560
Speaker 1: goes really early and then Tate goes to Cleveland and

896
00:41:52,760 --> 00:41:54,680
Speaker 1: and like there is a gap and there's app score,

897
00:41:54,719 --> 00:41:56,839
Speaker 1: so I can at least make the quantitative case for it.

898
00:41:57,239 --> 00:41:59,279
Speaker 1: And then teams look at Makaya Lemon they're like, oh,

899
00:41:59,320 --> 00:42:00,759
Speaker 1: I don't really want like because I think he's just

900
00:42:00,800 --> 00:42:02,520
Speaker 1: gonna be a slot and I don't want to invest

901
00:42:02,520 --> 00:42:03,719
Speaker 1: in that. And then he drops a little bit in

902
00:42:03,760 --> 00:42:06,160
Speaker 1: the draft further than what we think like that, you know,

903
00:42:06,200 --> 00:42:10,680
Speaker 1: if those things happened, and Jet jet right right, so like,

904
00:42:10,680 --> 00:42:13,160
Speaker 1: if those kinds of things happen, I can see things

905
00:42:13,160 --> 00:42:15,040
Speaker 1: being jumbled a little bit from a tier perspective.

906
00:42:15,360 --> 00:42:17,560
Speaker 3: You know, my stuff likes Tate a little bit more

907
00:42:17,560 --> 00:42:18,040
Speaker 3: than yours.

908
00:42:18,680 --> 00:42:22,200
Speaker 1: But I do think that it's really important for people

909
00:42:22,239 --> 00:42:24,840
Speaker 1: to hear kind of the bear case because we've only

910
00:42:25,320 --> 00:42:27,480
Speaker 1: feels like, oh, I guess I've been giving the bowl

911
00:42:27,560 --> 00:42:30,120
Speaker 1: case for for Carnel Tate, and it's good to hear

912
00:42:30,200 --> 00:42:31,280
Speaker 1: the other side of things.

913
00:42:31,440 --> 00:42:31,919
Speaker 3: For sure.

914
00:42:34,239 --> 00:42:36,520
Speaker 1: You talked about that next kind of group of Casey

915
00:42:36,560 --> 00:42:41,520
Speaker 1: Concepcion Omar Cooper, Denzel Boston. They're kind of being grouped at,

916
00:42:41,800 --> 00:42:43,480
Speaker 1: you know, being like back half of the first round

917
00:42:43,560 --> 00:42:45,960
Speaker 1: draft capital. I think there's at least a chance that

918
00:42:46,040 --> 00:42:48,160
Speaker 1: Denzel Boston doesn't even go in round one, Like it

919
00:42:48,200 --> 00:42:50,879
Speaker 1: seems like there's like that's that's at least a possibility.

920
00:42:51,440 --> 00:42:53,400
Speaker 1: Do you have any favorites among that group and what

921
00:42:53,440 --> 00:42:55,120
Speaker 1: are some of the red flags for these guys?

922
00:42:56,160 --> 00:42:59,200
Speaker 2: Yeah, so this is actually my order for them as well.

923
00:42:59,200 --> 00:43:03,319
Speaker 2: It's Casey then and Omar Cooper then Denzel Boston at four,

924
00:43:03,440 --> 00:43:05,480
Speaker 2: five and six for me pre draft.

925
00:43:05,560 --> 00:43:07,719
Speaker 4: Casey definitely grades out the best of them.

926
00:43:07,800 --> 00:43:11,240
Speaker 2: He's at sixty six, whereas Boston would be a sixty

927
00:43:11,280 --> 00:43:14,120
Speaker 2: one and then Omar Cooper would be like a sixty

928
00:43:14,280 --> 00:43:16,680
Speaker 2: sixty one. So they're all right there with Carnel tape.

929
00:43:16,760 --> 00:43:19,480
Speaker 2: But that's at least the final grade order based on

930
00:43:19,560 --> 00:43:22,040
Speaker 2: the they're all being projected first round picks. So, like

931
00:43:22,080 --> 00:43:23,640
Speaker 2: you said, like if Boston were to follo out of

932
00:43:23,640 --> 00:43:26,360
Speaker 2: the first round, he would drop. If Cooper were to

933
00:43:26,360 --> 00:43:28,320
Speaker 2: followt the first round, he would drop. I think I

934
00:43:28,360 --> 00:43:31,160
Speaker 2: think Casey feels locked into the first round, so I

935
00:43:31,239 --> 00:43:35,560
Speaker 2: don't think that that's really a discussion there. I do

936
00:43:36,200 --> 00:43:41,840
Speaker 2: gravitate towards Casey just because you know, I've continued to

937
00:43:41,880 --> 00:43:44,120
Speaker 2: listen to Matt Harmon and he's talking about how he

938
00:43:44,320 --> 00:43:46,640
Speaker 2: loves him so much and that he's like ahead of

939
00:43:46,680 --> 00:43:50,759
Speaker 2: Jordan Tyson for him. And there are production excuses for

940
00:43:50,840 --> 00:43:52,839
Speaker 2: him at Texas A and M because the quarterback play

941
00:43:52,920 --> 00:43:57,760
Speaker 2: was really rough. So and he had that early production

942
00:43:57,840 --> 00:44:01,200
Speaker 2: as well in college that that I can at least

943
00:44:01,200 --> 00:44:03,200
Speaker 2: point to that versus you know, Boston, you can make

944
00:44:03,200 --> 00:44:06,600
Speaker 2: the excuse he played with Odoonsay, Jaalen Polk and Jalen McMillan,

945
00:44:06,719 --> 00:44:08,920
Speaker 2: So the first couple of years were rough as a

946
00:44:08,920 --> 00:44:11,920
Speaker 2: wide receiver for Omar Cooper didn't have the early production

947
00:44:12,000 --> 00:44:14,279
Speaker 2: as well. So if I were just just looking at,

948
00:44:14,520 --> 00:44:17,120
Speaker 2: you know, straight, which one of these guys produced, and

949
00:44:17,160 --> 00:44:20,680
Speaker 2: at the earliest, that would be KC as well, So

950
00:44:20,719 --> 00:44:22,040
Speaker 2: I lean more towards him.

951
00:44:22,080 --> 00:44:22,520
Speaker 4: I think he.

952
00:44:22,480 --> 00:44:27,080
Speaker 2: Would qualify as my favorite of this group. And I

953
00:44:27,160 --> 00:44:28,760
Speaker 2: think the draft capital is going to be the highest

954
00:44:28,800 --> 00:44:30,680
Speaker 2: for him as well. It's going to be really interesting

955
00:44:30,719 --> 00:44:32,919
Speaker 2: to see where he ultimately lands. I've seen so many

956
00:44:32,920 --> 00:44:36,239
Speaker 2: different landing spots for him as a potential top fifteen pick,

957
00:44:36,280 --> 00:44:40,560
Speaker 2: as a mid twenties pick, anywhere in between. So it's

958
00:44:40,560 --> 00:44:42,319
Speaker 2: gonna be really really fun to see where he lands

959
00:44:42,400 --> 00:44:45,600
Speaker 2: up landing In terms of red flags. We kind of

960
00:44:45,640 --> 00:44:50,640
Speaker 2: discussed this last week on my video, but it is

961
00:44:50,680 --> 00:44:54,160
Speaker 2: that career yards per route run versus his own It's

962
00:44:54,239 --> 00:44:56,880
Speaker 2: just such an interesting stat And if you were to

963
00:44:56,960 --> 00:44:58,960
Speaker 2: just look at any one stat and just say, I'm

964
00:44:59,000 --> 00:45:04,080
Speaker 2: avoiding players that fall into this category a sub two

965
00:45:04,080 --> 00:45:07,120
Speaker 2: point two five career yards per out run versus zone

966
00:45:07,120 --> 00:45:09,640
Speaker 2: in the first two rounds, I mean we're talking over

967
00:45:09,680 --> 00:45:15,120
Speaker 2: the past six or seven draft classes. Golden Lagette, Pearsall,

968
00:45:15,640 --> 00:45:19,320
Speaker 2: Kean Coleman, Ada Mitchell, Jalen Polk, Jonathan Mingo, Tris Marshall,

969
00:45:19,600 --> 00:45:23,480
Speaker 2: Jalen Reger, Chase Claypool, Denzel Mims, kJ Hamler, Van Jefferson,

970
00:45:23,560 --> 00:45:26,920
Speaker 2: Nikhil Harry. If you just use that one number to

971
00:45:27,280 --> 00:45:31,200
Speaker 2: avoid drafting those players, you would have a pretty tremendous

972
00:45:31,280 --> 00:45:34,520
Speaker 2: hit rate. And all three of these guys fall into

973
00:45:34,560 --> 00:45:37,400
Speaker 2: that bucket. So I really hate to just use that

974
00:45:37,560 --> 00:45:41,080
Speaker 2: one number as like a threshold thing. I'm I'm wanting

975
00:45:41,120 --> 00:45:43,479
Speaker 2: to look at my whole entire modeling, but I would

976
00:45:43,520 --> 00:45:45,160
Speaker 2: be lying if I told you that it's just not

977
00:45:45,600 --> 00:45:47,080
Speaker 2: you know, kind of whispering in the back of my

978
00:45:47,160 --> 00:45:50,080
Speaker 2: head that this is a possibility for all these guys,

979
00:45:50,160 --> 00:45:55,000
Speaker 2: that they just don't have the collegiate success versus zone

980
00:45:55,360 --> 00:45:57,920
Speaker 2: through yards per route run. I know Harmon would disagree

981
00:45:57,960 --> 00:45:59,320
Speaker 2: with me, I think on some of this based on

982
00:45:59,400 --> 00:46:04,120
Speaker 2: what he'd charged, But the numbers are there that they

983
00:46:04,160 --> 00:46:08,560
Speaker 2: don't compare very favorably with a lot of other players.

984
00:46:08,600 --> 00:46:10,759
Speaker 2: So it's it's it's tough for me. I do like

985
00:46:10,880 --> 00:46:15,319
Speaker 2: case I like Omar Cooper, and then I'm sorry, Omar

986
00:46:15,360 --> 00:46:19,000
Speaker 2: Cooper doesn't have that sub two point twenty five. Casey

987
00:46:19,080 --> 00:46:22,399
Speaker 2: and Boston do. So Cooper clears it, so he's solid. Yeah,

988
00:46:23,040 --> 00:46:25,520
Speaker 2: but Casey and Boston Boston I feel like I'm a

989
00:46:25,520 --> 00:46:28,640
Speaker 2: little bit scared of as well, just because I don't know,

990
00:46:28,760 --> 00:46:31,200
Speaker 2: like he's like this this prototype of wide receiver that

991
00:46:31,320 --> 00:46:33,520
Speaker 2: sometimes gets stuck on the X and that just doesn't

992
00:46:33,560 --> 00:46:36,960
Speaker 2: really have fantasy production. Yeah, I could see. I think

993
00:46:37,000 --> 00:46:39,240
Speaker 2: of the three, I think his bust potential is the highest.

994
00:46:39,560 --> 00:46:41,720
Speaker 1: Yeah, I mean right now, I have draft capital delta

995
00:46:41,880 --> 00:46:44,600
Speaker 1: as a metric that I use to sort of describe

996
00:46:44,680 --> 00:46:47,239
Speaker 1: what these prospects are, and it's essentially just looking at

997
00:46:48,360 --> 00:46:51,920
Speaker 1: the score from a draft capital perspective, So like, if

998
00:46:51,920 --> 00:46:54,640
Speaker 1: they're twentieth overall, they get a score based on what

999
00:46:54,680 --> 00:46:58,520
Speaker 1: we've seen historically or like a percentile esque type score,

1000
00:46:59,320 --> 00:47:01,680
Speaker 1: and then you know, if they're thirtieth overall, what have you?

1001
00:47:02,000 --> 00:47:05,520
Speaker 1: And I just compare that to their actual ZAP score

1002
00:47:05,960 --> 00:47:08,920
Speaker 1: and if it's really really green, that means that they

1003
00:47:08,960 --> 00:47:12,799
Speaker 1: have a low risk draft capital delta. If it's really

1004
00:47:12,880 --> 00:47:14,640
Speaker 1: really red, that means that they're high risk, because it

1005
00:47:14,680 --> 00:47:17,000
Speaker 1: means that the model likes them less than where they

1006
00:47:17,040 --> 00:47:20,279
Speaker 1: were drafted. Right, the majority of players get neutral. They're

1007
00:47:20,400 --> 00:47:23,320
Speaker 1: just like sure they're being drafted where they should be.

1008
00:47:23,640 --> 00:47:26,160
Speaker 1: And obviously, historically, if there weren't the case, then the

1009
00:47:26,239 --> 00:47:30,160
Speaker 1: model would suck. But historically, low risk players have been

1010
00:47:30,560 --> 00:47:34,440
Speaker 1: better bets versus expectation than high risk players have. Denzel

1011
00:47:34,480 --> 00:47:36,960
Speaker 1: Boston spoiler alert, there's a very real chance he's a

1012
00:47:37,040 --> 00:47:39,560
Speaker 1: high risk player in the ZAP model post draft, very

1013
00:47:39,640 --> 00:47:40,160
Speaker 1: real chance.

1014
00:47:40,280 --> 00:47:42,439
Speaker 3: And maybe it's unfair because of what you said.

1015
00:47:42,640 --> 00:47:45,320
Speaker 1: You know, the with who he played against at Washington,

1016
00:47:45,400 --> 00:47:48,600
Speaker 1: you know, early on in his career, but his numbers

1017
00:47:48,719 --> 00:47:51,200
Speaker 1: really are not even his career yards. Like that's what

1018
00:47:51,239 --> 00:47:54,040
Speaker 1: I was saying earlier with like zone and man yards

1019
00:47:54,080 --> 00:47:57,080
Speaker 1: per out run and how like, I think that part

1020
00:47:57,160 --> 00:47:59,839
Speaker 1: of it also with the signal that we get with zone,

1021
00:48:00,120 --> 00:48:03,600
Speaker 1: that more players play zone against zone, and so we

1022
00:48:03,640 --> 00:48:07,239
Speaker 1: have a larger sample of those players playing against that

1023
00:48:07,280 --> 00:48:10,360
Speaker 1: type of defense. And naturally, when you have larger samples,

1024
00:48:10,640 --> 00:48:14,440
Speaker 1: you're gonna get more direct and better correlation and predictiveness. Right,

1025
00:48:14,800 --> 00:48:17,240
Speaker 1: So like when it comes to man, you're not getting

1026
00:48:17,360 --> 00:48:19,120
Speaker 1: as much, and so there may be a little bit

1027
00:48:19,120 --> 00:48:21,440
Speaker 1: more of that volatility. But even if you just look

1028
00:48:21,480 --> 00:48:24,440
Speaker 1: at career Denzel Boston's is what two point oh two

1029
00:48:24,480 --> 00:48:26,319
Speaker 1: I think career yards per out run rates something along

1030
00:48:26,360 --> 00:48:28,439
Speaker 1: those lines, and I've got.

1031
00:48:28,400 --> 00:48:29,320
Speaker 4: Him a two point oh so.

1032
00:48:29,600 --> 00:48:32,040
Speaker 1: Yeah, right, so it's like it's a it's a very

1033
00:48:32,280 --> 00:48:34,440
Speaker 1: I mean, that's a number that is frightening when you

1034
00:48:34,520 --> 00:48:37,719
Speaker 1: look at literally any wide receiver who gets drafted, but

1035
00:48:37,880 --> 00:48:41,000
Speaker 1: especially you know in the early parts of the draft.

1036
00:48:41,080 --> 00:48:42,680
Speaker 3: It's just that it's there's a high bust potential.

1037
00:48:42,880 --> 00:48:44,719
Speaker 1: And at least with Casey conceptsy On, I'll go back

1038
00:48:44,719 --> 00:48:47,240
Speaker 1: to the idea that he played three years in college,

1039
00:48:47,440 --> 00:48:51,240
Speaker 1: like Denzel Boston had that extra year to compile those numbers,

1040
00:48:51,280 --> 00:48:54,759
Speaker 1: those career numbers, Casey concepts on at least you could

1041
00:48:55,480 --> 00:48:58,080
Speaker 1: adjust a little bit and say, Okay, would have been

1042
00:48:58,120 --> 00:49:00,840
Speaker 1: better had he stayed in school in other year. You know,

1043
00:49:01,280 --> 00:49:03,759
Speaker 1: with Boston, it's just different because he was he was

1044
00:49:03,840 --> 00:49:06,520
Speaker 1: there for all four So Boston to me a lot

1045
00:49:06,600 --> 00:49:08,920
Speaker 1: of red flags. Omar Cooper, I'm just kind of like whatever,

1046
00:49:09,239 --> 00:49:11,520
Speaker 1: Like I don't have like a strong opinion on him.

1047
00:49:12,080 --> 00:49:14,359
Speaker 1: And then concepty one, I think conceptcy one's pretty good.

1048
00:49:14,520 --> 00:49:19,920
Speaker 1: Like I'm still intrigued by, you know, his overall profile

1049
00:49:20,600 --> 00:49:23,040
Speaker 1: and what he brings to the table. But we'll see,

1050
00:49:23,080 --> 00:49:25,480
Speaker 1: hopefully he gets he gets the draft capital to back

1051
00:49:25,560 --> 00:49:29,520
Speaker 1: it all. Right, So there's this cluster wide receivers that

1052
00:49:29,560 --> 00:49:33,200
Speaker 1: we just talked about. There's that top six. I don't

1053
00:49:33,280 --> 00:49:37,319
Speaker 1: know right now what to do after the top six.

1054
00:49:37,440 --> 00:49:38,920
Speaker 3: So you can't like.

1055
00:49:38,960 --> 00:49:40,759
Speaker 1: We're we're looking at the NFL Draft. Let's say that

1056
00:49:40,800 --> 00:49:43,440
Speaker 1: those six going round one and then Day two starts.

1057
00:49:43,480 --> 00:49:45,840
Speaker 1: Are there any favorites for you outside of outside of

1058
00:49:45,880 --> 00:49:47,120
Speaker 1: the six that we just talked about.

1059
00:49:48,120 --> 00:49:50,800
Speaker 2: Yeah, And I kind of feel the same way with you,

1060
00:49:50,960 --> 00:49:53,920
Speaker 2: Like they're all just like Chris Bell, zach Arya Branch,

1061
00:49:54,080 --> 00:49:56,480
Speaker 2: Jeremy Bernard, like, all these guys are just kind of

1062
00:49:56,640 --> 00:49:59,759
Speaker 2: like they're there, and some of them you could, you know,

1063
00:50:00,000 --> 00:50:01,200
Speaker 2: find reasons to be in on.

1064
00:50:01,320 --> 00:50:02,960
Speaker 4: Some of them you could find reasons to be out on.

1065
00:50:04,040 --> 00:50:07,800
Speaker 2: I lean more towards Elijah Surat as kind of like

1066
00:50:07,920 --> 00:50:10,320
Speaker 2: my go to guy, and honestly, if you wanted to

1067
00:50:10,400 --> 00:50:12,600
Speaker 2: make the case that he's the better Indiana wide receiver

1068
00:50:12,680 --> 00:50:15,040
Speaker 2: in this class, I would totally hear that case out.

1069
00:50:16,239 --> 00:50:19,640
Speaker 2: Analytically in my Marketer system, he does not grade out

1070
00:50:19,960 --> 00:50:23,120
Speaker 2: very well. He's got a projected grade of a thirty

1071
00:50:23,239 --> 00:50:25,399
Speaker 2: nine based on third round draft capital, so that could

1072
00:50:25,440 --> 00:50:27,839
Speaker 2: go up if he finds himself into the second round.

1073
00:50:28,680 --> 00:50:31,800
Speaker 2: But where he stands right now is a maybe projected

1074
00:50:31,880 --> 00:50:36,319
Speaker 2: third round pick. It's not all that great. However, if

1075
00:50:36,360 --> 00:50:38,960
Speaker 2: you look at his profile, he suffered I don't know

1076
00:50:39,000 --> 00:50:41,480
Speaker 2: if I've ever seen this before, but from a player

1077
00:50:42,200 --> 00:50:47,600
Speaker 2: who he just suffers so badly from my threshold basis

1078
00:50:47,680 --> 00:50:49,960
Speaker 2: that I have here, because I'm looking at this so

1079
00:50:50,360 --> 00:50:53,080
Speaker 2: I want first or second round draft capital to check

1080
00:50:53,120 --> 00:50:54,080
Speaker 2: that boxer draft capital.

1081
00:50:54,080 --> 00:50:55,759
Speaker 4: If he's a round three guy, then he just misses that.

1082
00:50:55,920 --> 00:50:59,480
Speaker 2: So that kind of best yards per team pass attempt,

1083
00:50:59,480 --> 00:51:01,640
Speaker 2: I'm looking for two point eight five. He's at two

1084
00:51:01,680 --> 00:51:04,960
Speaker 2: point eight. Best market share of yards, I'm looking for

1085
00:51:05,080 --> 00:51:07,680
Speaker 2: thirty five percent. He's at thirty two and some change.

1086
00:51:08,320 --> 00:51:11,440
Speaker 2: Best Fantasy points per game season, I'm looking for twenty.

1087
00:51:11,880 --> 00:51:15,759
Speaker 2: He's at nineteen point six speed score. So he ran

1088
00:51:15,800 --> 00:51:17,799
Speaker 2: a four or five to three at his pro day.

1089
00:51:18,719 --> 00:51:23,319
Speaker 2: So at his weight of what is he six two ten,

1090
00:51:23,760 --> 00:51:26,040
Speaker 2: So at his weight at four five three, I'm looking

1091
00:51:26,080 --> 00:51:27,920
Speaker 2: for a one hundred speed score that grades out to

1092
00:51:28,000 --> 00:51:31,759
Speaker 2: a ninety nine point seven speed score. So like, there

1093
00:51:31,880 --> 00:51:34,800
Speaker 2: are a handful of these thresholds that he is just

1094
00:51:35,640 --> 00:51:39,440
Speaker 2: so minutely close to actually getting to that if he

1095
00:51:39,920 --> 00:51:42,480
Speaker 2: were to actually hit on all of them, he might be,

1096
00:51:43,200 --> 00:51:45,480
Speaker 2: you know, in that sixties bucket, maybe even closer to

1097
00:51:45,560 --> 00:51:49,040
Speaker 2: a Makay Lemon as well in this wide receiver class.

1098
00:51:49,160 --> 00:51:52,080
Speaker 2: He just it's so close for him between hitting or

1099
00:51:52,160 --> 00:51:55,480
Speaker 2: not hitting on some of those that maybe that's where

1100
00:51:55,480 --> 00:51:57,040
Speaker 2: he could say some of the weakness of the market

1101
00:51:57,120 --> 00:52:00,759
Speaker 2: system comes from. But that's also what is gravitating me

1102
00:52:00,880 --> 00:52:05,120
Speaker 2: towards him, is that his profile analytically, while not like

1103
00:52:05,320 --> 00:52:07,279
Speaker 2: jumping off the page or else, obviously he would have

1104
00:52:07,360 --> 00:52:12,160
Speaker 2: hit those markers, but it is I think it sticks

1105
00:52:12,200 --> 00:52:15,040
Speaker 2: out more than a Zach Orry Branch, Jeremy Bernard A,

1106
00:52:15,120 --> 00:52:17,759
Speaker 2: Chris Bell and Antonio Williams, you know all these other

1107
00:52:17,840 --> 00:52:21,080
Speaker 2: guys that are in this you know, day two kind

1108
00:52:21,120 --> 00:52:25,120
Speaker 2: of range that I lean more towards Elijah Surat as

1109
00:52:25,320 --> 00:52:28,680
Speaker 2: the kind of wide receiver seven of this class. And

1110
00:52:28,960 --> 00:52:30,279
Speaker 2: like I said, if you want to say that he's

1111
00:52:30,320 --> 00:52:33,200
Speaker 2: the best Indiana wide receiver, I definitely think that you

1112
00:52:33,280 --> 00:52:34,440
Speaker 2: could make that argument.

1113
00:52:34,880 --> 00:52:37,440
Speaker 3: Yeah, I mean, look, breakout score in the ZAP model.

1114
00:52:37,440 --> 00:52:39,600
Speaker 1: I've said it before, but with top one hundred wide

1115
00:52:39,640 --> 00:52:42,560
Speaker 1: receivers has basically the same kind of our score in

1116
00:52:42,600 --> 00:52:47,440
Speaker 1: predictiveness as Draft capital itself. And obviously the two combined

1117
00:52:47,600 --> 00:52:50,120
Speaker 1: slash with all the other stuff makes the ZAP model

1118
00:52:50,200 --> 00:52:51,960
Speaker 1: worthwhile and better than Draft Capital.

1119
00:52:52,280 --> 00:52:54,680
Speaker 3: But Elijah Surrat has.

1120
00:52:54,640 --> 00:52:57,520
Speaker 1: A breakout score in the seventy third percentile it's fifty one,

1121
00:52:58,120 --> 00:53:00,359
Speaker 1: and Omar Coopers is in the fifty fifth percent at

1122
00:53:00,360 --> 00:53:02,560
Speaker 1: about forty two. So he has a like Omar Cooper

1123
00:53:02,600 --> 00:53:05,560
Speaker 1: has a worse breakout scorer. You know, best season fan

1124
00:53:05,719 --> 00:53:09,560
Speaker 1: adjusted best season Fantasy points goes to Surrat. I mean,

1125
00:53:09,760 --> 00:53:12,280
Speaker 1: the Yards Para run stuff generally will go to Surrat.

1126
00:53:12,960 --> 00:53:15,520
Speaker 1: The one thing that's scared obviously some of that stuff,

1127
00:53:15,560 --> 00:53:17,319
Speaker 1: like the yards bro run stuff, I'm not adjusting. I'm

1128
00:53:17,320 --> 00:53:19,440
Speaker 1: just because it's not part of the model. But you know,

1129
00:53:19,480 --> 00:53:21,800
Speaker 1: obviously he played it like Saint Francis and then he

1130
00:53:21,880 --> 00:53:24,879
Speaker 1: went to James Madison, so he didn't have the same

1131
00:53:25,120 --> 00:53:29,480
Speaker 1: necessarily the same kind of competition slash, you know, opponents

1132
00:53:29,640 --> 00:53:32,839
Speaker 1: and schedule adjusted stuff as Omar Cooper did.

1133
00:53:33,280 --> 00:53:35,600
Speaker 3: But the one thing that does scare me a.

1134
00:53:35,600 --> 00:53:39,480
Speaker 1: Little bit about Elijah Surrat is that he got comped

1135
00:53:39,600 --> 00:53:43,480
Speaker 1: to Pat Bryant and Michael Thomas in the ZAP model.

1136
00:53:43,520 --> 00:53:46,319
Speaker 1: Which fine, I don't think that that's like horrific, right,

1137
00:53:46,719 --> 00:53:49,759
Speaker 1: but those are two big slots, right, They're guys that

1138
00:53:50,960 --> 00:53:53,360
Speaker 1: benefited from Sean Payton moving them into the slot, or

1139
00:53:53,400 --> 00:53:54,880
Speaker 1: at least that's what we think is gonna happen with

1140
00:53:54,920 --> 00:53:57,000
Speaker 1: Pat Bryant, and he started to do that last year.

1141
00:53:57,360 --> 00:54:00,279
Speaker 1: But Michael Thomas, obviously, you know, that was his game,

1142
00:54:00,920 --> 00:54:03,719
Speaker 1: and I think we're looking at that kind of profile

1143
00:54:03,800 --> 00:54:07,040
Speaker 1: with Surat potentially because his contestion target rate was ninety

1144
00:54:07,080 --> 00:54:10,440
Speaker 1: fifth percentile and then his contested catch rate was ninetieth percentile,

1145
00:54:10,520 --> 00:54:13,080
Speaker 1: so like he was a very much a Fernanda Mendoza

1146
00:54:13,760 --> 00:54:17,040
Speaker 1: security blanket, throw it up, like hopefully he makes a play,

1147
00:54:17,080 --> 00:54:19,680
Speaker 1: and he made those plays, which is why I really

1148
00:54:19,760 --> 00:54:21,719
Speaker 1: want I said this as a bold prediction on the

1149
00:54:21,800 --> 00:54:24,480
Speaker 1: Late Round Fantasy Football show today, So you guys are

1150
00:54:24,560 --> 00:54:27,360
Speaker 1: who are listening, you probably already heard that. But Elijah

1151
00:54:27,360 --> 00:54:31,000
Speaker 1: Surrat going to the Raiders in round three is very possible,

1152
00:54:31,239 --> 00:54:34,520
Speaker 1: like a very realistic landing spot, which to me would

1153
00:54:34,560 --> 00:54:37,520
Speaker 1: be perfect because the Raiders don't really have that true

1154
00:54:37,560 --> 00:54:40,440
Speaker 1: contested catch guy on that team right now. And then

1155
00:54:40,480 --> 00:54:43,080
Speaker 1: obviously you're pairing him with his quarterback from last year

1156
00:54:43,120 --> 00:54:45,240
Speaker 1: in college, right So I'm.

1157
00:54:45,120 --> 00:54:45,719
Speaker 3: Intrigued by that.

1158
00:54:45,840 --> 00:54:48,400
Speaker 1: I'm intrigued by Surrat because again, I think that the

1159
00:54:48,560 --> 00:54:51,160
Speaker 1: market is fairly efficient right now with who the best

1160
00:54:51,160 --> 00:54:53,920
Speaker 1: wide receivers are, you know, like they're they're ranking them

1161
00:54:54,000 --> 00:54:56,880
Speaker 1: relatively well. Some years, like we'll be sitting here and

1162
00:54:56,920 --> 00:54:59,480
Speaker 1: we're like man like like Luther Burden for me last year,

1163
00:54:59,520 --> 00:55:01,520
Speaker 1: I'm like, this is not a second round profile. I

1164
00:55:01,600 --> 00:55:03,000
Speaker 1: don't really understand.

1165
00:55:02,640 --> 00:55:04,560
Speaker 3: Why, you know, like this should be more of a

1166
00:55:04,600 --> 00:55:06,879
Speaker 3: first round profile. But this year. I just don't get

1167
00:55:06,960 --> 00:55:08,520
Speaker 3: that as much like a lot of the Day two

1168
00:55:08,600 --> 00:55:09,360
Speaker 3: projected guys.

1169
00:55:09,400 --> 00:55:12,120
Speaker 1: I'm like, yeah, they they're I can see the upside case,

1170
00:55:12,160 --> 00:55:15,040
Speaker 1: but I also don't think that their analytical profiles are

1171
00:55:15,080 --> 00:55:17,440
Speaker 1: that special. But so rat is probably the one in

1172
00:55:17,480 --> 00:55:20,919
Speaker 1: the ZAP model as well that at least like analytically

1173
00:55:21,000 --> 00:55:26,360
Speaker 1: looks decent, right compared to like Zachariah Branch or whoever,

1174
00:55:26,560 --> 00:55:29,200
Speaker 1: or even like a German Bernard. But yeah, so it's

1175
00:55:29,200 --> 00:55:32,000
Speaker 1: an interesting call. Are there any like later Day two

1176
00:55:32,360 --> 00:55:34,400
Speaker 1: maybe Day three wide outs you're interested or is it

1177
00:55:34,520 --> 00:55:34,759
Speaker 1: just like.

1178
00:55:34,960 --> 00:55:36,520
Speaker 3: Let's just see where these landing spots are.

1179
00:55:37,600 --> 00:55:37,839
Speaker 4: Yeah.

1180
00:55:38,600 --> 00:55:41,239
Speaker 2: The one that that I think sticks out to me

1181
00:55:41,400 --> 00:55:43,680
Speaker 2: a little bit analytically that I haven't really seen his

1182
00:55:43,760 --> 00:55:46,080
Speaker 2: name thrown out there a lot is actually Dion Burks

1183
00:55:46,160 --> 00:55:52,400
Speaker 2: out of Oklahoma, and I'm I'm entirely I knew, I knew.

1184
00:55:52,200 --> 00:55:53,080
Speaker 3: You were trolling with that.

1185
00:55:54,080 --> 00:55:56,040
Speaker 1: You should run back and look at my face when

1186
00:55:56,040 --> 00:55:58,080
Speaker 1: he was saying that, I'm like, he's he knows what

1187
00:55:58,160 --> 00:56:01,759
Speaker 1: he's doing here. Yeah, Harmon brought up Dean Burks. I

1188
00:56:01,840 --> 00:56:03,359
Speaker 1: had got in a fight with Harmon on the show

1189
00:56:03,400 --> 00:56:05,719
Speaker 1: about him calling out Dean Burks. But then he had

1190
00:56:05,800 --> 00:56:09,360
Speaker 1: Jeremiah on his show on on his Yahoo show, and

1191
00:56:09,640 --> 00:56:11,920
Speaker 1: he brought up Dion Burks, and then Harmon you know,

1192
00:56:12,080 --> 00:56:14,160
Speaker 1: like started saying, well, JJ said that Dean Burks is

1193
00:56:14,200 --> 00:56:17,680
Speaker 1: analytical profile isn't very good. Uh yeah, okay, thank you

1194
00:56:17,840 --> 00:56:18,239
Speaker 1: for not Trum.

1195
00:56:19,040 --> 00:56:20,799
Speaker 4: I think I think Alfredo likes him too.

1196
00:56:21,600 --> 00:56:23,800
Speaker 2: I think he had a I think he responded to

1197
00:56:23,920 --> 00:56:26,120
Speaker 2: Harmon put that Dean Burks clip up and was like,

1198
00:56:26,200 --> 00:56:28,640
Speaker 2: there's dozens of us, and then I think I'm Afreda

1199
00:56:28,719 --> 00:56:29,719
Speaker 2: responded to it as well.

1200
00:56:29,760 --> 00:56:31,400
Speaker 4: I don't know if I don't know if he actually

1201
00:56:31,400 --> 00:56:31,640
Speaker 4: is there.

1202
00:56:31,760 --> 00:56:33,719
Speaker 1: Sorry, when you get smart people that are that are

1203
00:56:33,840 --> 00:56:35,600
Speaker 1: in on a player that you're just like, I don't

1204
00:56:35,640 --> 00:56:36,239
Speaker 1: see it at all.

1205
00:56:36,640 --> 00:56:39,719
Speaker 3: Uh, It's it's a little bit scary. But I'm not

1206
00:56:39,760 --> 00:56:40,399
Speaker 3: that about.

1207
00:56:41,640 --> 00:56:42,560
Speaker 4: No, I'm not either.

1208
00:56:42,800 --> 00:56:46,520
Speaker 2: Yeah, there are some interesting kind of you know fringe

1209
00:56:46,640 --> 00:56:50,560
Speaker 2: Day two more likely Day three guys. I do really

1210
00:56:50,760 --> 00:56:53,360
Speaker 2: like Bryce Lance. I know that you it's kind of

1211
00:56:53,440 --> 00:56:54,560
Speaker 2: become your thing to kind of.

1212
00:56:55,840 --> 00:56:58,840
Speaker 3: It's become, but I do.

1213
00:56:59,080 --> 00:57:01,400
Speaker 2: I I can see his It's the upside case, right,

1214
00:57:01,480 --> 00:57:04,480
Speaker 2: it's the can he'd be the Christian Watson comp is

1215
00:57:04,600 --> 00:57:06,759
Speaker 2: very very similar just because you know, you could look

1216
00:57:06,800 --> 00:57:09,640
Speaker 2: at the school. They're basically the same size, have very

1217
00:57:09,680 --> 00:57:13,279
Speaker 2: similar like top end production at North Dakota State, but

1218
00:57:13,360 --> 00:57:16,400
Speaker 2: it's also North Dakota State. So, but I think whenever

1219
00:57:16,520 --> 00:57:19,240
Speaker 2: you're looking at Bryce Lance versus like, I don't really

1220
00:57:19,320 --> 00:57:21,360
Speaker 2: like Zachary Branch, I don't know what to do with

1221
00:57:22,120 --> 00:57:25,880
Speaker 2: Chris Bell and Jeremy Bernard and Antonio Williams gets some

1222
00:57:26,920 --> 00:57:29,320
Speaker 2: interest as like a maybe a slot kind of Tyler

1223
00:57:29,400 --> 00:57:31,280
Speaker 2: Boyd kind of thing, but like, does that interest me

1224
00:57:31,360 --> 00:57:32,360
Speaker 2: for fantasy football?

1225
00:57:32,800 --> 00:57:33,280
Speaker 4: Not really.

1226
00:57:33,320 --> 00:57:35,240
Speaker 2: Whereas if Bryce Lance, if you're really going to swing

1227
00:57:35,320 --> 00:57:38,640
Speaker 2: for upside, you know, if he lands with the Chiefs

1228
00:57:38,760 --> 00:57:41,680
Speaker 2: on day two as their kind of X receiver fix

1229
00:57:41,960 --> 00:57:44,880
Speaker 2: or I think Seattle would be a really interesting landing spot,

1230
00:57:44,960 --> 00:57:47,600
Speaker 2: like one of those good situations to where he could

1231
00:57:47,640 --> 00:57:49,600
Speaker 2: plug and play as their outside receiver. I think that

1232
00:57:49,640 --> 00:57:53,280
Speaker 2: would be pretty interesting. So I would take shots on

1233
00:57:53,400 --> 00:57:56,120
Speaker 2: Bryce Lance. And you know, if he's a top I've

1234
00:57:56,160 --> 00:57:58,800
Speaker 2: seen him ranked inside the top ten for people, I've

1235
00:57:58,800 --> 00:58:01,160
Speaker 2: seen him ranked in the back end of the teams,

1236
00:58:01,280 --> 00:58:03,880
Speaker 2: like he's all over the place. I lean more towards

1237
00:58:03,920 --> 00:58:07,160
Speaker 2: having him as a top ten guy. So and that's

1238
00:58:07,240 --> 00:58:10,880
Speaker 2: just purely out of fantasy football intrigue and upside, so

1239
00:58:10,920 --> 00:58:13,840
Speaker 2: I would shout Bryce Lance out. Skyler Bell has an

1240
00:58:13,880 --> 00:58:16,760
Speaker 2: interesting profile as well. I think he kind of became

1241
00:58:16,880 --> 00:58:21,080
Speaker 2: like a very early draft season analytical darling and then

1242
00:58:21,120 --> 00:58:24,040
Speaker 2: I just really haven't heard his name since he had

1243
00:58:24,080 --> 00:58:26,880
Speaker 2: a really good combine. The production is pretty interesting at Yukon,

1244
00:58:27,680 --> 00:58:30,520
Speaker 2: So I think Skyler Bell is a pretty interesting guy

1245
00:58:30,600 --> 00:58:33,760
Speaker 2: as like that more slot only kind of person Ted

1246
00:58:33,880 --> 00:58:36,200
Speaker 2: Hurst Jeff called well, I feel like those are just

1247
00:58:36,280 --> 00:58:40,160
Speaker 2: the go to analytical names. I really wish Eric McAllister

1248
00:58:40,360 --> 00:58:46,000
Speaker 2: wasn't like a horrible human being because stuff, Yeah, it's

1249
00:58:46,360 --> 00:58:50,479
Speaker 2: he seems like Jermaine Burton, but maybe worse to where

1250
00:58:50,600 --> 00:58:54,000
Speaker 2: like analytically he looks pretty phenomenal. He would actually be

1251
00:58:54,080 --> 00:58:57,000
Speaker 2: a candidate for what I've deemed the Maconkey list. That

1252
00:58:57,120 --> 00:59:00,160
Speaker 2: is the list of players who's per route production in

1253
00:59:00,360 --> 00:59:04,760
Speaker 2: far exceeds their seasonal or career production, and that has

1254
00:59:04,840 --> 00:59:07,600
Speaker 2: been like a very very good signal. A La Lab McConkey,

1255
00:59:07,760 --> 00:59:11,000
Speaker 2: and Phukainaku is on that list a few other guys,

1256
00:59:11,080 --> 00:59:14,720
Speaker 2: so he would need fifth round or better draft capital.

1257
00:59:14,720 --> 00:59:17,240
Speaker 2: I don't know if he gets that to actually be

1258
00:59:17,560 --> 00:59:21,120
Speaker 2: onto that list. So but he's just a name. And

1259
00:59:21,200 --> 00:59:24,160
Speaker 2: then I really want to like days on stribbling out

1260
00:59:24,160 --> 00:59:26,960
Speaker 2: of Old Miss. I really want to like him. The

1261
00:59:27,000 --> 00:59:30,040
Speaker 2: analytical profile isn't necessarily there. He bounced all over the

1262
00:59:30,120 --> 00:59:33,680
Speaker 2: place in college. He kind of reminds me a little

1263
00:59:33,680 --> 00:59:36,200
Speaker 2: bit of Jonathan Mingo. Yeah, if you're just kind of

1264
00:59:36,240 --> 00:59:39,960
Speaker 2: helmet scouting Old Miss as well. But I I don't know,

1265
00:59:40,200 --> 00:59:42,760
Speaker 2: like I watch I've been seeing some more highlights of him.

1266
00:59:42,800 --> 00:59:44,920
Speaker 2: I watched a little bit of film on him as well.

1267
00:59:45,000 --> 00:59:46,960
Speaker 2: He just seems like he's kind of got like that

1268
00:59:47,160 --> 00:59:48,880
Speaker 2: dog in him, like he's gonna also be willing to

1269
00:59:48,920 --> 00:59:53,000
Speaker 2: block as well. He's kind of like a fun six

1270
00:59:53,120 --> 00:59:55,600
Speaker 2: to two pound kind of wide receiver that's just better

1271
00:59:55,640 --> 00:59:58,360
Speaker 2: than a slot only guy. I really want to like him.

1272
00:59:58,680 --> 01:00:01,080
Speaker 2: My analytics tell me that I shouldn't really worry too

1273
01:00:01,160 --> 01:00:04,640
Speaker 2: much about him, but he might. He might be an interesting,

1274
01:00:04,760 --> 01:00:06,880
Speaker 2: you know, third or fourth round conversation for me in

1275
01:00:06,960 --> 01:00:07,520
Speaker 2: rookie drafts.

1276
01:00:07,760 --> 01:00:09,880
Speaker 1: Yeah, it was really into like because he's been getting

1277
01:00:09,960 --> 01:00:14,360
Speaker 1: some love from legit sources, like legit people and people

1278
01:00:14,400 --> 01:00:15,720
Speaker 1: who analyze this stuff.

1279
01:00:16,120 --> 01:00:17,680
Speaker 3: And then I went back and I looked because like

1280
01:00:17,720 --> 01:00:18,000
Speaker 3: he was.

1281
01:00:18,080 --> 01:00:20,240
Speaker 1: I think his projected capital in the pre draft version

1282
01:00:20,240 --> 01:00:22,320
Speaker 1: of the guide was like one hundred and seventy second overall.

1283
01:00:22,440 --> 01:00:25,360
Speaker 1: So you know someone that while you're writing something like

1284
01:00:25,440 --> 01:00:27,800
Speaker 1: that in early March, you know, I'm not going to

1285
01:00:27,800 --> 01:00:30,240
Speaker 1: be that interesting because realistically, like you said, his analytical

1286
01:00:30,320 --> 01:00:35,000
Speaker 1: profile is like like twenty to fortieth percentile stuff across

1287
01:00:35,080 --> 01:00:37,000
Speaker 1: the board, right, Like it's not that strong.

1288
01:00:37,400 --> 01:00:39,440
Speaker 3: And the last sentence in.

1289
01:00:39,480 --> 01:00:43,000
Speaker 1: His pre draft profile says, unless draft capital surprises in

1290
01:00:43,080 --> 01:00:45,080
Speaker 1: a meaningful way, Stribbling isn't someone that you'll need to

1291
01:00:45,120 --> 01:00:47,640
Speaker 1: prioritize in rookie drafts, but there's a chance of draft

1292
01:00:47,720 --> 01:00:50,560
Speaker 1: capital surprises based on maybe the way that people have

1293
01:00:50,640 --> 01:00:52,360
Speaker 1: been talking about him. So I think that's an important

1294
01:00:52,760 --> 01:00:54,600
Speaker 1: call out to make. All right, let's move on to

1295
01:00:54,960 --> 01:00:57,800
Speaker 1: the running back position, and let's not talk about Jeremiah Love.

1296
01:00:58,000 --> 01:01:01,800
Speaker 1: We know, right, like he's good. Let's talk about some

1297
01:01:01,920 --> 01:01:05,720
Speaker 1: other guys. Your model really likes Jonah Coleman, And one

1298
01:01:05,720 --> 01:01:07,480
Speaker 1: of my bold predictions on the show is that he

1299
01:01:07,600 --> 01:01:09,520
Speaker 1: ends up being the RB two in this class, like

1300
01:01:09,560 --> 01:01:13,000
Speaker 1: from a draft from a draft capital perspective, like there's please,

1301
01:01:13,160 --> 01:01:15,280
Speaker 1: there's at least I think a chance. Not that I

1302
01:01:15,320 --> 01:01:18,320
Speaker 1: think that it's probable. That was that was a bold predictions,

1303
01:01:18,360 --> 01:01:21,160
Speaker 1: hot takey kind of show. But I do think there's

1304
01:01:21,200 --> 01:01:23,760
Speaker 1: a chance because he hasn't do it all profile, he's

1305
01:01:23,800 --> 01:01:27,720
Speaker 1: bigger bodied, he's safe, right, But what is the marker

1306
01:01:27,800 --> 01:01:29,960
Speaker 1: system seeing with Jodah Coleman to make him as your

1307
01:01:30,160 --> 01:01:30,600
Speaker 1: RB two.

1308
01:01:32,080 --> 01:01:34,919
Speaker 2: It is seeing that he is a really really good

1309
01:01:35,760 --> 01:01:39,560
Speaker 2: all around player with you know, the the I should say,

1310
01:01:39,640 --> 01:01:41,520
Speaker 2: I was gonna say, like the side he's five to eight,

1311
01:01:41,640 --> 01:01:43,600
Speaker 2: but he's two hundred and twenty pounds. The dude's an

1312
01:01:43,640 --> 01:01:48,400
Speaker 2: actual he's Doug Martin was my initial conpient for him. Yeah,

1313
01:01:48,480 --> 01:01:50,440
Speaker 2: and I've seen that thrown around a lot that you know,

1314
01:01:50,520 --> 01:01:52,720
Speaker 2: he's got that Doug Martin Rehicche Jones Drew kind of

1315
01:01:52,800 --> 01:01:55,680
Speaker 2: thing going on. But I mean, man, he just does

1316
01:01:56,760 --> 01:01:58,800
Speaker 2: so many things really really well. You want a guy

1317
01:01:58,880 --> 01:02:04,120
Speaker 2: that had production and volume in his career, that's Jonah Coleman.

1318
01:02:04,400 --> 01:02:06,120
Speaker 2: You want a guy that has a nose for the

1319
01:02:06,200 --> 01:02:09,160
Speaker 2: end zone and can score a bunch of touchdowns, that's

1320
01:02:09,280 --> 01:02:12,080
Speaker 2: Jonah Coleman. You want a guy that has a little

1321
01:02:12,120 --> 01:02:14,480
Speaker 2: bit of a receiving profile. He had thirty one receptions

1322
01:02:14,520 --> 01:02:17,760
Speaker 2: in his best season, and then also in his best season,

1323
01:02:17,800 --> 01:02:20,440
Speaker 2: had a one point seven yards per route run as

1324
01:02:20,520 --> 01:02:24,480
Speaker 2: well for a running back. That's pretty impressive. As I mentioned,

1325
01:02:24,520 --> 01:02:27,040
Speaker 2: he's got the beefy size. That's a thirty three and

1326
01:02:27,120 --> 01:02:30,320
Speaker 2: a half BMI, which is really really fun number. He

1327
01:02:30,400 --> 01:02:33,840
Speaker 2: didn't test because he was not going to run very well,

1328
01:02:34,720 --> 01:02:38,720
Speaker 2: so I don't have any of the athleticism numbers, but man,

1329
01:02:38,800 --> 01:02:40,360
Speaker 2: I mean, when you're just talking about a player that

1330
01:02:40,440 --> 01:02:43,760
Speaker 2: I just really can feel like get inserted as a solid,

1331
01:02:44,880 --> 01:02:48,160
Speaker 2: you know, workhorse plus type of running back, I think

1332
01:02:48,240 --> 01:02:51,600
Speaker 2: that's Joanah Coleman in this class, and draft capital is

1333
01:02:51,600 --> 01:02:54,360
Speaker 2: going to really determine where he ultimately grades out.

1334
01:02:55,280 --> 01:02:57,360
Speaker 4: My projected number for him he's got.

1335
01:02:57,440 --> 01:02:59,120
Speaker 2: I've got him in the third round based on Mock

1336
01:02:59,200 --> 01:03:04,000
Speaker 2: Draft ADP, which puts him at a seventy two overall grade,

1337
01:03:04,040 --> 01:03:08,680
Speaker 2: which would be second after draft capitol adjustments in this class.

1338
01:03:08,720 --> 01:03:11,280
Speaker 2: If that happens, Emma Johnson would be really the only

1339
01:03:11,360 --> 01:03:12,920
Speaker 2: other one that could take him over, but they've got

1340
01:03:13,000 --> 01:03:15,640
Speaker 2: him plugged in as a round four pick for mock

1341
01:03:15,720 --> 01:03:19,560
Speaker 2: Draft ADP, so the ADP game will vary between the

1342
01:03:19,600 --> 01:03:23,080
Speaker 2: two in terms of which one ultimately gets the potential

1343
01:03:23,200 --> 01:03:26,760
Speaker 2: RB two nod in my marker system. But you know,

1344
01:03:26,840 --> 01:03:29,560
Speaker 2: if he's a second round pick, he's just so much better.

1345
01:03:29,600 --> 01:03:32,479
Speaker 2: He's closer to an eighty overall grade, which would actually

1346
01:03:32,520 --> 01:03:35,160
Speaker 2: be the fourteenth best running back since twenty twenty, in

1347
01:03:35,280 --> 01:03:38,400
Speaker 2: the same range as like Henderson and Judkins, and better

1348
01:03:38,480 --> 01:03:39,960
Speaker 2: than Harvey and Kalb last year.

1349
01:03:40,240 --> 01:03:41,480
Speaker 4: That's if he's a second rounder.

1350
01:03:42,120 --> 01:03:44,920
Speaker 2: If he's a fourth rounder, day three pick, you know,

1351
01:03:45,000 --> 01:03:47,400
Speaker 2: he kind of gets thrown into some of the comps

1352
01:03:47,480 --> 01:03:51,080
Speaker 2: that my model gives him are like Ray Davis, Zach Moss,

1353
01:03:51,400 --> 01:03:54,680
Speaker 2: like those kind of players. As a Day three pick,

1354
01:03:54,800 --> 01:03:57,280
Speaker 2: which I still think would be a very interesting player

1355
01:03:57,360 --> 01:04:00,680
Speaker 2: to draft. You might get a Tyler Algiers season out

1356
01:04:00,720 --> 01:04:03,200
Speaker 2: of him if he lands in the right opportunity year one,

1357
01:04:03,320 --> 01:04:06,360
Speaker 2: or like a James Robinson season, Jordan Howard, that kind

1358
01:04:06,400 --> 01:04:09,600
Speaker 2: of player, or he might just be like Kendre Miller

1359
01:04:09,680 --> 01:04:12,760
Speaker 2: two point zero and not really get anything, which I

1360
01:04:12,840 --> 01:04:13,520
Speaker 2: like Andre Miller.

1361
01:04:13,640 --> 01:04:15,280
Speaker 4: Tank Bakesby is another name as well.

1362
01:04:16,040 --> 01:04:18,080
Speaker 2: Those would be the kind of Day three comps that

1363
01:04:18,160 --> 01:04:20,720
Speaker 2: he gets, which again I still really like to draft

1364
01:04:20,800 --> 01:04:21,200
Speaker 2: that guy.

1365
01:04:21,840 --> 01:04:25,160
Speaker 4: It's just the confidence drops significantly.

1366
01:04:25,200 --> 01:04:27,640
Speaker 1: I think is pro Like, here's the thing, So the

1367
01:04:27,720 --> 01:04:30,640
Speaker 1: three main production metrics in the ZAM model pro rated

1368
01:04:30,680 --> 01:04:33,040
Speaker 1: reception share, best season of justice yards per team play,

1369
01:04:33,200 --> 01:04:36,040
Speaker 1: best season of justice yards per team pass attempt seventy

1370
01:04:36,120 --> 01:04:38,760
Speaker 1: second percentile, forty ninth and eighty eighth percentile, Like, those

1371
01:04:38,800 --> 01:04:41,200
Speaker 1: are all pretty strong within this class, it's not very good.

1372
01:04:41,640 --> 01:04:43,560
Speaker 1: And then the advanced numbers that you know we get

1373
01:04:43,600 --> 01:04:47,840
Speaker 1: from like a PFF avoided tackles per attempt eighty ninth percentile,

1374
01:04:47,920 --> 01:04:52,240
Speaker 1: explosive run rate seventieth percentile, which is important because he

1375
01:04:52,320 --> 01:04:54,160
Speaker 1: didn't run, and I think he didn't run because he's

1376
01:04:54,200 --> 01:04:56,480
Speaker 1: not very fast, you know, like that's more than likely

1377
01:04:56,520 --> 01:05:00,000
Speaker 1: the reason eighty ninth percentile yards after contact per attempt.

1378
01:05:00,640 --> 01:05:04,280
Speaker 3: Like, it's a it's a very interesting profile.

1379
01:05:04,320 --> 01:05:08,200
Speaker 1: I agree with you, Like, I think that Coleman is

1380
01:05:08,760 --> 01:05:12,720
Speaker 1: someone who you know, can carry that that workload, can

1381
01:05:12,800 --> 01:05:14,560
Speaker 1: be a do it all back, and a team might

1382
01:05:14,640 --> 01:05:17,400
Speaker 1: fall in love with that. I also think Emmitt Johnson

1383
01:05:17,760 --> 01:05:20,240
Speaker 1: is potentially that kind of player. How do you view

1384
01:05:20,280 --> 01:05:22,480
Speaker 1: Emmitt Johnson versus jendarium price right now?

1385
01:05:23,600 --> 01:05:28,480
Speaker 2: Yeah, Emitt Johnson grades out I'll say significantly higher pre

1386
01:05:28,680 --> 01:05:31,400
Speaker 2: draft but then whenever the draft capital conversation gets thrown

1387
01:05:31,440 --> 01:05:33,680
Speaker 2: into there, that's going to really even things out, because

1388
01:05:33,720 --> 01:05:36,120
Speaker 2: it seems like, you know, if you wanted a betting

1389
01:05:36,240 --> 01:05:39,160
Speaker 2: favorite for RB two off the board, it's Jerry and Price.

1390
01:05:39,240 --> 01:05:42,080
Speaker 2: Potentially even I've seen him thrown as the thirty second

1391
01:05:42,120 --> 01:05:45,320
Speaker 2: pick to Seattle. That would be crazy, that would be

1392
01:05:45,600 --> 01:05:48,960
Speaker 2: that would be something. But yeah, Emmitt Johnson. I really

1393
01:05:49,040 --> 01:05:50,880
Speaker 2: like Emma Johnson. I think he also kind of fits

1394
01:05:50,920 --> 01:05:54,240
Speaker 2: that mold as a potential do it all back. I

1395
01:05:54,280 --> 01:05:56,760
Speaker 2: don't know if he gets thrown into that role in

1396
01:05:56,880 --> 01:06:00,440
Speaker 2: the NFL, because he is, you know, five ten, two hundred,

1397
01:06:00,560 --> 01:06:03,280
Speaker 2: so it's like he's kind of got that Chase Brown

1398
01:06:03,360 --> 01:06:06,840
Speaker 2: Kyron Williams sort of thing going on. Blake Korham actually

1399
01:06:06,880 --> 01:06:08,640
Speaker 2: pops up as like a low end comp for him

1400
01:06:08,760 --> 01:06:09,160
Speaker 2: as well.

1401
01:06:10,000 --> 01:06:10,800
Speaker 4: But I mean, when you.

1402
01:06:10,840 --> 01:06:14,280
Speaker 2: Talk about the production was at an all time high

1403
01:06:14,400 --> 01:06:17,960
Speaker 2: last year at Nebraska, he's got the receiving, he's got

1404
01:06:18,320 --> 01:06:21,240
Speaker 2: pretty much everything that you want. The combine kind of

1405
01:06:21,280 --> 01:06:24,240
Speaker 2: sucked for him, but I thought that the combine was

1406
01:06:24,320 --> 01:06:29,200
Speaker 2: like okay for a player like Emma Johnson. I just

1407
01:06:29,280 --> 01:06:31,400
Speaker 2: think that he's going to be a player that I'm

1408
01:06:31,440 --> 01:06:33,600
Speaker 2: targeting no matter what. If he's a Day two pick

1409
01:06:33,680 --> 01:06:36,240
Speaker 2: goes to a potential landing spot where he could be

1410
01:06:36,720 --> 01:06:39,440
Speaker 2: an immediate starter, I'm going to target him early in

1411
01:06:39,480 --> 01:06:41,560
Speaker 2: my rookie drafts, you know, as like a very early

1412
01:06:41,640 --> 01:06:44,840
Speaker 2: second maybe even like the one to eleven, one twelve

1413
01:06:45,000 --> 01:06:48,040
Speaker 2: in the ultimate landing spot place. But if he's a

1414
01:06:48,160 --> 01:06:49,640
Speaker 2: Day three pick, he's going to be a guy that

1415
01:06:50,560 --> 01:06:53,000
Speaker 2: you know, lands onto my late round target list for

1416
01:06:53,080 --> 01:06:55,440
Speaker 2: running backs, which are you know, rounds four or five

1417
01:06:55,520 --> 01:06:57,880
Speaker 2: running backs who have a two hundred or twenty eight

1418
01:06:57,960 --> 01:07:02,520
Speaker 2: BMI and have seven or more of my markers hit

1419
01:07:03,040 --> 01:07:05,000
Speaker 2: seven out of the twelve running back markers hit. That's

1420
01:07:05,000 --> 01:07:08,000
Speaker 2: a it's been a very I would say the hit

1421
01:07:08,080 --> 01:07:10,000
Speaker 2: rates kind of fifty to fifty. But when you've got

1422
01:07:10,040 --> 01:07:12,240
Speaker 2: a fifty to fifty hit rate on Day three running

1423
01:07:12,280 --> 01:07:15,280
Speaker 2: backs that you can just you know, plug in your

1424
01:07:15,520 --> 01:07:18,320
Speaker 2: rookie drafts and round three or round four, like that's

1425
01:07:18,920 --> 01:07:21,120
Speaker 2: pretty significant. Like Chase Brown was on that list, from

1426
01:07:21,120 --> 01:07:24,400
Speaker 2: Andre Stevenson was on that list, Aaron Jones is on

1427
01:07:24,480 --> 01:07:26,960
Speaker 2: that list. So there's some pretty good names out of

1428
01:07:27,000 --> 01:07:28,680
Speaker 2: there at the top end, and then just really good

1429
01:07:28,760 --> 01:07:32,080
Speaker 2: handcuffs that you want on your roster anyway, That's where

1430
01:07:32,120 --> 01:07:34,760
Speaker 2: Emma Johnson lands now when you compare him to Jenaium Price.

1431
01:07:35,440 --> 01:07:37,240
Speaker 2: The issue with Juderium Price is he doesn't have any

1432
01:07:37,280 --> 01:07:39,600
Speaker 2: of the production metrics because he's behind Jeremiah Love. So

1433
01:07:39,680 --> 01:07:43,840
Speaker 2: it's like all projecting whether or not he can actually

1434
01:07:44,200 --> 01:07:44,880
Speaker 2: does he.

1435
01:07:44,960 --> 01:07:47,400
Speaker 3: Hit on any of, like any of the production markers

1436
01:07:47,440 --> 01:07:47,760
Speaker 3: that you have?

1437
01:07:48,880 --> 01:07:49,120
Speaker 4: Nope?

1438
01:07:49,320 --> 01:07:51,960
Speaker 3: Okay, yeah, it would almost be impot like he has.

1439
01:07:52,480 --> 01:07:55,960
Speaker 1: He has such an egregious production profile that to the

1440
01:07:56,000 --> 01:08:00,000
Speaker 1: point where I've also said to myself, it's so different

1441
01:08:00,280 --> 01:08:02,600
Speaker 1: than every other Day two running back that has ever

1442
01:08:02,720 --> 01:08:06,280
Speaker 1: hit this appmodel database that I'm almost like, what if

1443
01:08:06,320 --> 01:08:09,200
Speaker 1: he's just an outlier? And he's already an outlier right

1444
01:08:09,240 --> 01:08:11,600
Speaker 1: because he's a Day two pick with this bad production profile.

1445
01:08:12,600 --> 01:08:12,760
Speaker 3: Right.

1446
01:08:12,920 --> 01:08:15,920
Speaker 2: I've seen people throw Rochean Johnson out as like, well,

1447
01:08:16,040 --> 01:08:18,800
Speaker 2: you know, he could be Rochon again because Rochean didn't

1448
01:08:18,800 --> 01:08:21,640
Speaker 2: have any production behind Bijon. But then Rochean fell to

1449
01:08:21,720 --> 01:08:23,720
Speaker 2: Day three and so it kind of just you know,

1450
01:08:23,960 --> 01:08:26,599
Speaker 2: mixed everything that we thought his upside could have been.

1451
01:08:27,000 --> 01:08:29,120
Speaker 2: Whereas of Jendarium Price, if the NFL is telling us

1452
01:08:29,200 --> 01:08:32,000
Speaker 2: that he's you know, a top fifty overall player in

1453
01:08:32,040 --> 01:08:35,320
Speaker 2: this class, that's pretty significant, especially if he lands with

1454
01:08:35,400 --> 01:08:38,200
Speaker 2: Seattle or Minnesota or you know, one of these teams.

1455
01:08:38,320 --> 01:08:41,160
Speaker 4: Yeah, like that, I feel like I have to be in.

1456
01:08:41,400 --> 01:08:45,080
Speaker 2: At that point, I get worried because we literally just

1457
01:08:45,240 --> 01:08:48,920
Speaker 2: had Caleb Johnson last year of like, maybe this guy

1458
01:08:49,960 --> 01:08:51,360
Speaker 2: shouldn't have been as.

1459
01:08:51,680 --> 01:08:52,800
Speaker 4: Drafted as highly as he was.

1460
01:08:52,880 --> 01:08:56,479
Speaker 2: My model really didn't like Caleb Johnson as well as

1461
01:08:56,520 --> 01:08:58,120
Speaker 2: I think a lot of other people, and I should

1462
01:08:58,120 --> 01:08:58,960
Speaker 2: have trusted it more.

1463
01:08:59,240 --> 01:09:00,400
Speaker 4: Yeah, but they had.

1464
01:09:00,360 --> 01:09:05,639
Speaker 2: Him as whereas he had the running back seven behind

1465
01:09:05,680 --> 01:09:08,120
Speaker 2: Bashall Tuton. Actually, so even though base Lall Tune was

1466
01:09:08,120 --> 01:09:11,240
Speaker 2: a Day three pick two and great, it out better

1467
01:09:11,280 --> 01:09:15,800
Speaker 2: than Caleb because of his production, and Caleb is he

1468
01:09:15,840 --> 01:09:17,240
Speaker 2: didn't have any production then at all of.

1469
01:09:17,240 --> 01:09:19,240
Speaker 4: The production you know, in twenty twenty four.

1470
01:09:19,560 --> 01:09:22,320
Speaker 2: It's not that I don't think he's similar to Jenerium

1471
01:09:22,360 --> 01:09:24,759
Speaker 2: Price in that regard, or Price is similar to Caleb

1472
01:09:24,840 --> 01:09:26,880
Speaker 2: in terms of you know, he might just be an

1473
01:09:26,880 --> 01:09:28,960
Speaker 2: absolute bust. But I am just worried if we are,

1474
01:09:29,840 --> 01:09:32,519
Speaker 2: if because the NFL is vaulting him too high, If

1475
01:09:32,560 --> 01:09:34,800
Speaker 2: we vault him too high, and now all of a sudden,

1476
01:09:34,840 --> 01:09:37,840
Speaker 2: we think that he's like an actually good or even

1477
01:09:38,000 --> 01:09:40,240
Speaker 2: very good prospect, and then he gets drafted over some

1478
01:09:40,320 --> 01:09:44,800
Speaker 2: other guys like Casey or Omar Cooper or you know,

1479
01:09:44,880 --> 01:09:46,439
Speaker 2: one of the tight ends or anything like that that

1480
01:09:46,640 --> 01:09:49,800
Speaker 2: like are actually good prospects, and that might be bad

1481
01:09:49,880 --> 01:09:51,000
Speaker 2: process in rookie drafts.

1482
01:09:51,520 --> 01:09:56,000
Speaker 1: So you're a Penn State guy, and we talked about

1483
01:09:56,000 --> 01:09:58,720
Speaker 1: this on your show. I'm on team Nick Singleton, but

1484
01:09:58,760 --> 01:10:02,400
Speaker 1: you're on team kN Talk to me about why people

1485
01:10:02,439 --> 01:10:04,479
Speaker 1: should like k Tron Allen more than Nick Singleton.

1486
01:10:05,880 --> 01:10:09,080
Speaker 4: Uh, yeah, I get it fully for the Nick Singleton.

1487
01:10:09,120 --> 01:10:11,080
Speaker 2: I mean, when you're talking about having a running back

1488
01:10:11,160 --> 01:10:13,320
Speaker 2: that's six foot, two hundred and twenty pounds. He didn't

1489
01:10:13,360 --> 01:10:15,360
Speaker 2: test at the combine, but I can tell you he's

1490
01:10:15,400 --> 01:10:17,560
Speaker 2: a four to three type of player right from his

1491
01:10:17,720 --> 01:10:21,360
Speaker 2: film has the receiving production that he had had, the

1492
01:10:21,760 --> 01:10:24,160
Speaker 2: you know, early production that just kind of continued through

1493
01:10:24,240 --> 01:10:27,320
Speaker 2: his four years at Penn State. He was a five

1494
01:10:27,400 --> 01:10:30,120
Speaker 2: star recruit. I thought we were getting the next Saquon Barkley,

1495
01:10:30,720 --> 01:10:35,240
Speaker 2: and but just time and time again over the course

1496
01:10:35,280 --> 01:10:36,960
Speaker 2: of his career, it just it was.

1497
01:10:37,040 --> 01:10:38,200
Speaker 4: Just ended up being more and more.

1498
01:10:38,280 --> 01:10:41,280
Speaker 2: K Tron Allen that he ended K Tron was the

1499
01:10:41,360 --> 01:10:44,360
Speaker 2: guy that would you know, spark drives when the offense

1500
01:10:44,439 --> 01:10:44,960
Speaker 2: wasn't doing.

1501
01:10:44,880 --> 01:10:48,040
Speaker 4: Well, that he would get that chunk play to get

1502
01:10:48,120 --> 01:10:48,760
Speaker 4: something going.

1503
01:10:48,880 --> 01:10:50,880
Speaker 2: He would, you know, move the chains when we needed

1504
01:10:50,880 --> 01:10:52,960
Speaker 2: to move the chains the most that you know, he

1505
01:10:53,000 --> 01:10:55,360
Speaker 2: would find the end zone inside of the ten or

1506
01:10:55,400 --> 01:10:58,200
Speaker 2: inside of the five that Nick Singleton didn't do. And

1507
01:10:58,360 --> 01:11:02,000
Speaker 2: it's just stand from a fantasy standpoint that the upside

1508
01:11:02,040 --> 01:11:04,280
Speaker 2: is there with Nick Singleton for the bigger body back,

1509
01:11:04,360 --> 01:11:06,720
Speaker 2: with the receiving profile that he has, it's going to

1510
01:11:06,760 --> 01:11:09,479
Speaker 2: be way easier for him to find fantasy relevance than

1511
01:11:09,600 --> 01:11:13,080
Speaker 2: k Tron Allen. But I think K Tron might just

1512
01:11:13,200 --> 01:11:16,400
Speaker 2: be like the better running back and he might have

1513
01:11:16,560 --> 01:11:20,960
Speaker 2: an easier translation into the NFL that gives him an

1514
01:11:21,000 --> 01:11:23,960
Speaker 2: earlier opportunity to produce. It's probably not going to be

1515
01:11:24,880 --> 01:11:28,200
Speaker 2: tremendous production, it might not even last all that long.

1516
01:11:28,640 --> 01:11:30,160
Speaker 4: But I think that if you're.

1517
01:11:30,000 --> 01:11:31,640
Speaker 2: Betting on one of these two guys to kind of

1518
01:11:31,720 --> 01:11:35,160
Speaker 2: be more productive for you earlier into their NFL careers,

1519
01:11:35,280 --> 01:11:37,639
Speaker 2: my bet would actually be on k Tron Allen based

1520
01:11:37,680 --> 01:11:41,120
Speaker 2: on his body of work at Penn State than Nick Singleton,

1521
01:11:41,720 --> 01:11:44,800
Speaker 2: whereas I think Singleton obviously has the upside ceiling case

1522
01:11:44,920 --> 01:11:50,439
Speaker 2: and could be a longer producer than k Tron just

1523
01:11:50,520 --> 01:11:51,760
Speaker 2: because of the type of player that he.

1524
01:11:51,920 --> 01:11:54,040
Speaker 1: Yes, that's kind of how I view Singleton is, like

1525
01:11:54,400 --> 01:11:57,160
Speaker 1: I think he's really volatile, really high variance because of

1526
01:11:57,360 --> 01:11:59,640
Speaker 1: the Compson I see in the model with him, and

1527
01:11:59,720 --> 01:12:02,640
Speaker 1: because you know, it's like he just didn't give us

1528
01:12:02,760 --> 01:12:05,280
Speaker 1: quite His advanced numbers are pretty bad too, Like they're

1529
01:12:05,360 --> 01:12:06,599
Speaker 1: just not super super strong.

1530
01:12:07,040 --> 01:12:11,040
Speaker 3: But but when you match the size.

1531
01:12:11,400 --> 01:12:17,000
Speaker 1: The receiving numbers and skill set and the probable speed

1532
01:12:17,720 --> 01:12:21,160
Speaker 1: on speed score, you're like, man, there is a you know,

1533
01:12:21,320 --> 01:12:23,880
Speaker 1: this is a class that lacks like like we talked

1534
01:12:23,880 --> 01:12:27,000
Speaker 1: about Joonah Coleman and Emma Johnson, and to me, those

1535
01:12:27,040 --> 01:12:29,719
Speaker 1: are the two guys that like check the most boxes,

1536
01:12:29,800 --> 01:12:33,320
Speaker 1: that are like safest as as production getters, you know,

1537
01:12:33,400 --> 01:12:35,519
Speaker 1: and in like the more traditional sense that we get

1538
01:12:35,560 --> 01:12:36,280
Speaker 1: from running backs.

1539
01:12:37,000 --> 01:12:39,080
Speaker 3: But like that's it in this class.

1540
01:12:39,200 --> 01:12:41,519
Speaker 1: And so I'm like, I'm just gonna throw that dart

1541
01:12:41,520 --> 01:12:43,719
Speaker 1: at Nick Singleton and just go for that upside because

1542
01:12:43,880 --> 01:12:45,679
Speaker 1: there's just not that much of that in this class

1543
01:12:45,800 --> 01:12:46,080
Speaker 1: right now.

1544
01:12:46,400 --> 01:12:50,519
Speaker 2: Not much going for him he's really like he outside

1545
01:12:50,560 --> 01:12:53,960
Speaker 2: of Jeremiah Love Like, Nick Singleton might be one of,

1546
01:12:54,120 --> 01:12:57,559
Speaker 2: if not the second, best athlete at the running back

1547
01:12:57,600 --> 01:13:00,920
Speaker 2: position in his class. And when you've got the receiving

1548
01:13:01,000 --> 01:13:05,800
Speaker 2: production that he had the like, I get it, most

1549
01:13:05,840 --> 01:13:08,000
Speaker 2: people are probably gonna put Singleton ahead of k Tron.

1550
01:13:08,920 --> 01:13:10,880
Speaker 2: I might even still have Singleton ahead of k Tron

1551
01:13:10,920 --> 01:13:13,600
Speaker 2: if Draft Capital tells me, like, if Singleton finds his

1552
01:13:13,680 --> 01:13:16,040
Speaker 2: way into the late day two and k Tron's like

1553
01:13:16,080 --> 01:13:19,200
Speaker 2: a fifth round pick, well you know that's that's gonna

1554
01:13:19,200 --> 01:13:21,200
Speaker 2: be a little bit rough. But if they're very similar,

1555
01:13:21,800 --> 01:13:24,800
Speaker 2: then I I find myself leaning towards k Tron Allen

1556
01:13:25,160 --> 01:13:27,479
Speaker 2: unless the landing spots are just that regious?

1557
01:13:29,800 --> 01:13:31,320
Speaker 3: Are there any other running backs? So we haven't talked

1558
01:13:31,320 --> 01:13:32,479
Speaker 3: about that excite you or we?

1559
01:13:33,040 --> 01:13:33,600
Speaker 4: We just like this?

1560
01:13:33,800 --> 01:13:34,759
Speaker 3: This class is terrible.

1561
01:13:36,040 --> 01:13:37,439
Speaker 4: This this class kind of sucks.

1562
01:13:37,479 --> 01:13:39,479
Speaker 2: I mean, I'm I have interest in Adam Randall, the

1563
01:13:39,520 --> 01:13:43,720
Speaker 2: converted wide receiver out of Clemson. He's pretty interesting. I

1564
01:13:44,120 --> 01:13:47,920
Speaker 2: don't mind Roman Hemby as he's the Indiana running back.

1565
01:13:48,520 --> 01:13:49,920
Speaker 2: I know a lot of people kind of went more

1566
01:13:49,960 --> 01:13:52,599
Speaker 2: towards Kaylan Black, but I'm kind of team Roman Hemby.

1567
01:13:52,640 --> 01:13:56,479
Speaker 2: Out of that backfield demon Clayboard is kind of interesting

1568
01:13:56,600 --> 01:14:00,800
Speaker 2: as like this riser, he has pretty solid production over

1569
01:14:01,080 --> 01:14:04,599
Speaker 2: the course of his career. He might be a potential

1570
01:14:04,720 --> 01:14:07,080
Speaker 2: like late day two type of player from some of

1571
01:14:07,160 --> 01:14:10,439
Speaker 2: the news that I've seen coming out of you know,

1572
01:14:10,760 --> 01:14:14,679
Speaker 2: the smoke around Clayborne and stuff like that. So he's

1573
01:14:14,880 --> 01:14:17,000
Speaker 2: he's interesting, I'll say the least to him, and in

1574
01:14:17,040 --> 01:14:19,720
Speaker 2: the same way that like design shribbling is interesting to

1575
01:14:19,760 --> 01:14:22,280
Speaker 2: me at the wide receiver position. Yeah, we talked about

1576
01:14:22,320 --> 01:14:24,160
Speaker 2: Terran Stewart on my show The Dudes.

1577
01:14:24,280 --> 01:14:24,559
Speaker 1: Just like.

1578
01:14:26,240 --> 01:14:29,320
Speaker 2: His it's so wild that he's just like an absolute

1579
01:14:29,360 --> 01:14:31,680
Speaker 2: bowling ball, kind of similar to Joana Coleman. And then

1580
01:14:31,720 --> 01:14:35,040
Speaker 2: he has like the second highest miss tackles forced rate

1581
01:14:35,120 --> 01:14:40,040
Speaker 2: in my database, behind only Antonio Gibson, ahead of Jenti,

1582
01:14:40,160 --> 01:14:43,040
Speaker 2: ahead of Bejon Robinson, ahead of Javonte Williams. Like I

1583
01:14:43,120 --> 01:14:45,880
Speaker 2: just can't comprehend out human being does that at his size.

1584
01:14:46,240 --> 01:14:48,160
Speaker 2: So Terryan Stewart, I think is a really fun like

1585
01:14:48,280 --> 01:14:50,320
Speaker 2: seventh round pick in the NFL draft.

1586
01:14:50,320 --> 01:14:51,960
Speaker 4: I don't even know if he'll be drafted, but he's fine.

1587
01:14:52,280 --> 01:14:55,639
Speaker 2: And then I've never mentioned this name before and Dal left,

1588
01:14:55,640 --> 01:14:56,960
Speaker 2: so I'm kind of scared to do it here, but

1589
01:14:57,000 --> 01:14:58,760
Speaker 2: I want to do it before the NFL Draft, just

1590
01:14:58,800 --> 01:15:02,040
Speaker 2: to be like I said his name, what happened to

1591
01:15:02,160 --> 01:15:05,600
Speaker 2: Jade and Ott? This dude had like, yeah, all of the.

1592
01:15:05,680 --> 01:15:08,360
Speaker 4: Production in the world, and then like goes to Oklahoma

1593
01:15:08,400 --> 01:15:10,599
Speaker 4: and he just like disappears. I'm like, what is going?

1594
01:15:10,720 --> 01:15:13,840
Speaker 2: Like my Marco system likes the early production and the

1595
01:15:14,800 --> 01:15:17,040
Speaker 2: receiving profile that he had, and then it's just like

1596
01:15:17,200 --> 01:15:20,800
Speaker 2: he just disappeared off the face of the earth. I

1597
01:15:20,800 --> 01:15:22,400
Speaker 2: don't even know if he's going to get drafted either,

1598
01:15:22,520 --> 01:15:25,479
Speaker 2: but he's a he's an interesting name.

1599
01:15:25,680 --> 01:15:25,920
Speaker 3: Yeah.

1600
01:15:26,360 --> 01:15:29,280
Speaker 1: I just added him because he wasn't a Combine invite,

1601
01:15:29,320 --> 01:15:31,080
Speaker 1: right and I only look at Combine invites for the

1602
01:15:31,120 --> 01:15:34,000
Speaker 1: prospect guid and stuff. I just added him this week,

1603
01:15:34,200 --> 01:15:37,880
Speaker 1: and I was messaging the late Round discord saying that

1604
01:15:37,920 --> 01:15:40,720
Speaker 1: I added Kaylen Black and Jade not because those two

1605
01:15:40,840 --> 01:15:42,720
Speaker 1: seem like the most likely who weren't invited to the

1606
01:15:42,760 --> 01:15:45,160
Speaker 1: combine to get drafted. And if they don't get drafted,

1607
01:15:45,200 --> 01:15:48,200
Speaker 1: I'm they're they're deleted from the ZAP model database because

1608
01:15:48,200 --> 01:15:51,040
Speaker 1: I want to keep things clean and consistent. But regardless,

1609
01:15:52,160 --> 01:15:54,519
Speaker 1: Odd graded out a lot better than Kaylen Black did.

1610
01:15:54,840 --> 01:15:56,800
Speaker 1: Kaylen Black is twenty four and a half years old.

1611
01:15:56,880 --> 01:15:59,439
Speaker 1: First off, like there's there's yeah, that's a that's a flag.

1612
01:15:59,520 --> 01:16:01,960
Speaker 3: That's a problem. Jade not still twenty three, but he's

1613
01:16:02,000 --> 01:16:03,600
Speaker 3: not as old as as Kylen Black is.

1614
01:16:04,360 --> 01:16:08,000
Speaker 1: You know, he's got less size than him, but better

1615
01:16:08,040 --> 01:16:11,479
Speaker 1: receiving profile, which obviously goes a long way within the

1616
01:16:11,800 --> 01:16:12,400
Speaker 1: ZAP model.

1617
01:16:12,800 --> 01:16:13,880
Speaker 3: Uh so he looked better.

1618
01:16:14,360 --> 01:16:16,200
Speaker 1: The one thing that I've found too is I was

1619
01:16:16,240 --> 01:16:19,800
Speaker 1: going through and updating all the Pro Day forties and

1620
01:16:19,800 --> 01:16:21,759
Speaker 1: when I when I because speed score is an input

1621
01:16:21,840 --> 01:16:25,040
Speaker 1: in the ZAP model at running back and speed score

1622
01:16:25,320 --> 01:16:27,800
Speaker 1: uh sorry, and I'm trying to get the speed scores

1623
01:16:27,840 --> 01:16:29,760
Speaker 1: input it. It's not a huge factor, but it's a

1624
01:16:29,920 --> 01:16:32,240
Speaker 1: factor trying to get all the speed scores updated for

1625
01:16:32,640 --> 01:16:35,360
Speaker 1: you know, the draft happening and getting the post draft

1626
01:16:35,640 --> 01:16:38,040
Speaker 1: prospect guide out and I'm putting them in and I

1627
01:16:38,160 --> 01:16:40,880
Speaker 1: adjust by point oh five for Pro Day, which a

1628
01:16:40,920 --> 01:16:42,800
Speaker 1: lot of people do. You know, you add that because

1629
01:16:42,880 --> 01:16:45,599
Speaker 1: you'll get some some home cooking. Like Emma Johnson, for instance,

1630
01:16:45,680 --> 01:16:47,720
Speaker 1: ran a four five six at the combine I think

1631
01:16:47,760 --> 01:16:50,559
Speaker 1: it was, uh and then he or four five five

1632
01:16:50,680 --> 01:16:53,240
Speaker 1: maybe it was something along those lines, but regardless, something

1633
01:16:53,560 --> 01:16:56,160
Speaker 1: yeah yeah, something like that, uh yeah, four five six,

1634
01:16:57,120 --> 01:16:58,760
Speaker 1: and he ran at his pro day he ran a

1635
01:16:58,800 --> 01:17:02,120
Speaker 1: four four nine, and which is great, but we shouldn't

1636
01:17:02,160 --> 01:17:04,400
Speaker 1: take that phase value and it kind of aligns with

1637
01:17:04,479 --> 01:17:07,000
Speaker 1: that four or five six that we stopped the combine.

1638
01:17:07,080 --> 01:17:10,800
Speaker 1: So but anyway, I was going through all of them, dude,

1639
01:17:11,040 --> 01:17:13,920
Speaker 1: some of these forty times. It's some of the most

1640
01:17:14,000 --> 01:17:18,599
Speaker 1: egregious athleticism testing that I've seen from a draft class. Ever,

1641
01:17:18,840 --> 01:17:22,280
Speaker 1: Like I'm talking des Read, I didn't realize this des Read.

1642
01:17:22,640 --> 01:17:24,720
Speaker 1: Desmen Read at his pro day ran a.

1643
01:17:25,000 --> 01:17:25,960
Speaker 3: Four or five five.

1644
01:17:26,080 --> 01:17:29,280
Speaker 1: It looks like at one hundred at one hundred and

1645
01:17:29,320 --> 01:17:32,080
Speaker 1: seventy four pounds, so he's smaller than us. His speed

1646
01:17:32,120 --> 01:17:35,280
Speaker 1: score is seventy seven right now when adjusted for pro day.

1647
01:17:35,640 --> 01:17:39,320
Speaker 1: There's a speed score of eighty eight from Le'Veon Moss

1648
01:17:39,439 --> 01:17:43,479
Speaker 1: that I have within the model. There's a speed score

1649
01:17:43,560 --> 01:17:48,360
Speaker 1: of eighty three for Jamari Taylor. Like there's these guys

1650
01:17:48,479 --> 01:17:51,040
Speaker 1: ran so slow at their pro days, and it's kind

1651
01:17:51,040 --> 01:17:53,760
Speaker 1: of frightening. Like I like some of these guys, even

1652
01:17:53,760 --> 01:17:55,880
Speaker 1: like Jamari Taylor. I'm like I can squint and see

1653
01:17:55,920 --> 01:17:57,960
Speaker 1: it and make a case like I can. I can,

1654
01:17:58,280 --> 01:18:01,240
Speaker 1: But now I'm like, like this, this is the equivalent

1655
01:18:01,240 --> 01:18:03,080
Speaker 1: of a four to six eight is what he ran.

1656
01:18:03,400 --> 01:18:06,320
Speaker 1: In some places, I could have maybe gotten putting that

1657
01:18:06,479 --> 01:18:09,320
Speaker 1: at a four to seven zero, but I because there

1658
01:18:09,320 --> 01:18:11,679
Speaker 1: were multiple sources saying different things for pro day time,

1659
01:18:12,040 --> 01:18:13,560
Speaker 1: I just I just gave him a benefit of the

1660
01:18:13,640 --> 01:18:14,760
Speaker 1: doubt because it didn't matter.

1661
01:18:14,840 --> 01:18:16,960
Speaker 3: He still had an eighty three speed score. We're just

1662
01:18:17,080 --> 01:18:20,120
Speaker 3: seeing that everywhere in this class. I'm like, it's so

1663
01:18:20,360 --> 01:18:21,920
Speaker 3: night and day from what we had last year.

1664
01:18:22,200 --> 01:18:26,000
Speaker 2: Yeah, it's this class really does kind of suck. Yeah,

1665
01:18:26,080 --> 01:18:29,200
Speaker 2: it's just not that bad. And it sucks too because

1666
01:18:29,240 --> 01:18:34,040
Speaker 2: from my my like dynasty rookie draft strategy has always

1667
01:18:34,080 --> 01:18:37,000
Speaker 2: just been like third and fourth rounds are primarily rookie

1668
01:18:37,040 --> 01:18:38,880
Speaker 2: running backs because I think that they're the easiest that

1669
01:18:38,960 --> 01:18:41,120
Speaker 2: you can translate. You kind of know if you have

1670
01:18:41,280 --> 01:18:44,240
Speaker 2: something or not very early on and you can eat

1671
01:18:44,280 --> 01:18:45,680
Speaker 2: a cup bait or you can keep them if they

1672
01:18:45,680 --> 01:18:49,560
Speaker 2: still look like a solid handcuff or better. And this

1673
01:18:49,800 --> 01:18:52,680
Speaker 2: year is just kind of like, man, you know, some

1674
01:18:52,800 --> 01:18:54,519
Speaker 2: of these wide receivers kind of interest me a little

1675
01:18:54,560 --> 01:18:57,800
Speaker 2: bit more. I really find myself gravitating towards like Cade

1676
01:18:57,840 --> 01:19:00,720
Speaker 2: Club Nick as a potential upside shot at the quarterback position. Right,

1677
01:19:00,840 --> 01:19:02,400
Speaker 2: there's you know, we're gonna talk about the tight ends

1678
01:19:02,400 --> 01:19:04,720
Speaker 2: here soon, but like they're this tight end class isn't

1679
01:19:05,000 --> 01:19:05,439
Speaker 2: half bad.

1680
01:19:05,520 --> 01:19:05,920
Speaker 3: It's fun.

1681
01:19:06,000 --> 01:19:07,879
Speaker 4: Yeah that there are really.

1682
01:19:07,760 --> 01:19:09,800
Speaker 2: Some fun names that you could draft in that later

1683
01:19:09,920 --> 01:19:12,439
Speaker 2: rounds of rookie drafts. And it sucks as I'm like,

1684
01:19:12,600 --> 01:19:14,479
Speaker 2: give me all these running backs. I want all these guys,

1685
01:19:14,920 --> 01:19:18,400
Speaker 2: and there's just nobody. Yeah, even even if like Emma

1686
01:19:18,439 --> 01:19:20,120
Speaker 2: Johnson's like a fourth round pick or something like that,

1687
01:19:20,200 --> 01:19:22,080
Speaker 2: he's gonna be a second round pick in rookie draft.

1688
01:19:22,200 --> 01:19:22,439
Speaker 3: Easy.

1689
01:19:22,560 --> 01:19:26,040
Speaker 1: Yeah, might even I think Emma Johnson right now pre

1690
01:19:26,280 --> 01:19:29,280
Speaker 1: draft I have met like one twelve and single quarterback

1691
01:19:29,400 --> 01:19:31,880
Speaker 1: just because it's it's just a you know, like you

1692
01:19:31,960 --> 01:19:34,639
Speaker 1: can't I can't get like to some of the wide

1693
01:19:34,680 --> 01:19:37,000
Speaker 1: receivers where I'm like questionable what their draft capital is

1694
01:19:37,000 --> 01:19:38,320
Speaker 1: going to be. So I'm just like, yeah, I'll throw

1695
01:19:38,400 --> 01:19:40,040
Speaker 1: out the guy who I think is the RB two

1696
01:19:40,080 --> 01:19:41,960
Speaker 1: right now, and then a draft capital changes, we can

1697
01:19:42,080 --> 01:19:44,439
Speaker 1: we can adjust. But yeah, it just goes to show that,

1698
01:19:44,760 --> 01:19:46,759
Speaker 1: you know, the top half of this class is pretty

1699
01:19:46,800 --> 01:19:49,760
Speaker 1: strong and then it just there's a pretty legit drop

1700
01:19:50,160 --> 01:19:52,559
Speaker 1: overall I'm talking about, you know, at all positions, there's

1701
01:19:52,560 --> 01:19:55,200
Speaker 1: a pretty real drop that you're gonna that you're gonna hit.

1702
01:19:55,400 --> 01:19:56,840
Speaker 1: You talked about tight end. Let's just get to this

1703
01:19:56,960 --> 01:20:01,240
Speaker 1: really briefly. Uh, Eli Stowers versus Kenyon's. Do you think

1704
01:20:01,280 --> 01:20:04,840
Speaker 1: that Eli Stowers is actually a better prospect than Sadik.

1705
01:20:06,120 --> 01:20:08,560
Speaker 4: From a fantasy football standpoint?

1706
01:20:08,760 --> 01:20:08,960
Speaker 1: I do.

1707
01:20:09,320 --> 01:20:10,320
Speaker 4: This is where.

1708
01:20:11,760 --> 01:20:13,519
Speaker 2: You know, we're so we're always talking from a fantasy

1709
01:20:13,560 --> 01:20:16,040
Speaker 2: football standpoint. But whenever I put out a tweet that

1710
01:20:16,120 --> 01:20:18,439
Speaker 2: says that I don't understand why Eli Stowers isn't the

1711
01:20:18,960 --> 01:20:23,040
Speaker 2: consensus tight end one, all of these NFL people start

1712
01:20:23,080 --> 01:20:25,400
Speaker 2: coming at me and then they're like, oh, never mind,

1713
01:20:25,479 --> 01:20:28,200
Speaker 2: you're this is a fantasy football This is why fantasy

1714
01:20:28,240 --> 01:20:31,439
Speaker 2: football people shouldn't get involved in our in our draft

1715
01:20:32,400 --> 01:20:36,200
Speaker 2: analysis and stuff like that. So, like, I think Sadik

1716
01:20:36,280 --> 01:20:38,200
Speaker 2: is a better prospect from an NFL standpoint, He's a

1717
01:20:38,240 --> 01:20:41,240
Speaker 2: better blocker. But if you're talking about fantasy production and

1718
01:20:41,640 --> 01:20:46,720
Speaker 2: the ability to be essentially a wide receiver playing tight end,

1719
01:20:47,479 --> 01:20:49,960
Speaker 2: that's Eli Stowers to me. I mean, like he he's

1720
01:20:50,000 --> 01:20:52,479
Speaker 2: going to grade out in the seventies, maybe even in

1721
01:20:52,560 --> 01:20:54,920
Speaker 2: the he might scratch the eighties if he's actually a

1722
01:20:55,000 --> 01:20:59,720
Speaker 2: first round pick. But everything is there, man, I mean

1723
01:20:59,800 --> 01:21:02,560
Speaker 2: like he's he's going to I named the list the

1724
01:21:02,640 --> 01:21:04,400
Speaker 2: brock Bowers List. I kind of do this with some

1725
01:21:04,479 --> 01:21:07,800
Speaker 2: of the players, the top players that that really fit

1726
01:21:07,920 --> 01:21:10,439
Speaker 2: these lists. So I called it the Bowers List. He

1727
01:21:10,600 --> 01:21:13,400
Speaker 2: is going to be in my marker system one of

1728
01:21:14,080 --> 01:21:21,960
Speaker 2: I think three players that have ten or more regular

1729
01:21:22,040 --> 01:21:26,080
Speaker 2: markers hit, and then all ten of my advanced markers

1730
01:21:26,160 --> 01:21:28,120
Speaker 2: hit for the tight end position. And it is literally

1731
01:21:28,320 --> 01:21:32,479
Speaker 2: him and brock Bowers and then Isaiah Likely. So well,

1732
01:21:32,960 --> 01:21:36,120
Speaker 2: the Isaiah Likely hive is out there for sure. They're like, yes,

1733
01:21:36,200 --> 01:21:38,800
Speaker 2: I knew it. He's phenomenal, but yeah, it's and so

1734
01:21:38,960 --> 01:21:42,280
Speaker 2: like you could look at just ten or more markers hit,

1735
01:21:42,360 --> 01:21:45,080
Speaker 2: like that's a pretty significant list that has like Gronk

1736
01:21:45,160 --> 01:21:48,880
Speaker 2: and Kelsey and I think Tran McBride is on that list,

1737
01:21:49,080 --> 01:21:52,680
Speaker 2: and brock Bowers and Warren and Loveland, Like that's a

1738
01:21:52,720 --> 01:21:55,479
Speaker 2: pretty phenomenal list. There's there's misses for sure, as there

1739
01:21:55,520 --> 01:21:57,880
Speaker 2: should be with most of these things, but the list

1740
01:21:58,000 --> 01:22:02,040
Speaker 2: is pretty tremendous. You look at seven or more advanced markers,

1741
01:22:02,080 --> 01:22:03,640
Speaker 2: which I found to be kind of the threshold for

1742
01:22:03,680 --> 01:22:07,360
Speaker 2: tight ends for pretty quality success. That list is great

1743
01:22:07,400 --> 01:22:09,600
Speaker 2: and stoweres is on both of those, Like, that's a

1744
01:22:10,080 --> 01:22:13,320
Speaker 2: that's a pretty rare thing to happen. He's got everything

1745
01:22:13,400 --> 01:22:16,920
Speaker 2: that you could possibly want. Outside of the one red

1746
01:22:17,000 --> 01:22:20,080
Speaker 2: flag is like, can he actually develop into a blocker

1747
01:22:20,560 --> 01:22:22,599
Speaker 2: to be more of a full time tight end. I've

1748
01:22:22,640 --> 01:22:25,640
Speaker 2: seen people comp him to Dalkin kid that you know,

1749
01:22:25,720 --> 01:22:28,040
Speaker 2: he lives in this fifty to sixty percent snap count

1750
01:22:28,120 --> 01:22:30,599
Speaker 2: range because he's not a blocker, and that might hurt

1751
01:22:30,760 --> 01:22:34,479
Speaker 2: his ceiling of production in the NFL. But I think

1752
01:22:34,520 --> 01:22:35,920
Speaker 2: that if you're a team that is drafting you to

1753
01:22:36,000 --> 01:22:38,519
Speaker 2: thyce hours, ideally hope that you have a plan for

1754
01:22:38,640 --> 01:22:41,240
Speaker 2: him to be more of your slot wide receiver and

1755
01:22:41,360 --> 01:22:43,960
Speaker 2: to kind of be like what Colston Lovelin was last

1756
01:22:44,040 --> 01:22:47,400
Speaker 2: year for the Bears, or you know, TJ. Hawkinson, Evan Ingram,

1757
01:22:47,479 --> 01:22:49,679
Speaker 2: like the highlights that we've seen from their careers.

1758
01:22:50,320 --> 01:22:51,560
Speaker 4: That's Eli Stowers to me.

1759
01:22:51,680 --> 01:22:53,479
Speaker 2: I think that there's a case for him to be

1760
01:22:54,080 --> 01:22:56,960
Speaker 2: a top eight pick in rookie drafts as a tight

1761
01:22:57,040 --> 01:22:57,920
Speaker 2: end one over Sadik.

1762
01:22:58,200 --> 01:22:59,960
Speaker 3: Yeah, it's it's really difficult for me.

1763
01:23:00,720 --> 01:23:03,280
Speaker 1: The one part that I have found to be interesting

1764
01:23:03,680 --> 01:23:06,320
Speaker 1: from a narrative standpoint within the fantasy space is how

1765
01:23:06,479 --> 01:23:10,120
Speaker 1: people seem to be kind of crapping on Kenyan Sadik's

1766
01:23:10,120 --> 01:23:13,120
Speaker 1: production profile the way they are, which I get to

1767
01:23:13,240 --> 01:23:15,800
Speaker 1: a degree, but you know, like if you already look

1768
01:23:15,800 --> 01:23:19,280
Speaker 1: at yards per out run for instance, he's at a disadvantage.

1769
01:23:19,600 --> 01:23:21,479
Speaker 3: It's the case he conceptsy own problem.

1770
01:23:21,680 --> 01:23:24,120
Speaker 1: He's at a disadvantage because he's not playing as long

1771
01:23:24,160 --> 01:23:27,240
Speaker 1: as a lot most other tight ends, like Trey McBride,

1772
01:23:27,320 --> 01:23:30,080
Speaker 1: Sam Laporta, they had that extra year. If you look

1773
01:23:30,120 --> 01:23:33,360
Speaker 1: at those two tight ends in particular, they had comparable

1774
01:23:33,439 --> 01:23:36,000
Speaker 1: he had. Kenyan Snek has a better career yards per

1775
01:23:36,080 --> 01:23:38,400
Speaker 1: out run rate in his career through three years obviously

1776
01:23:38,479 --> 01:23:41,960
Speaker 1: through his career, but then Trey McBride had through three years.

1777
01:23:42,160 --> 01:23:44,640
Speaker 1: It's that Trey McBride then played another year and he

1778
01:23:44,800 --> 01:23:46,920
Speaker 1: was able to boost that number up more. And maybe

1779
01:23:47,520 --> 01:23:49,840
Speaker 1: that gives more comfort, you know, from a product like

1780
01:23:49,920 --> 01:23:54,080
Speaker 1: from a an evaluation standpoint and a prospecting standpoint.

1781
01:23:53,840 --> 01:23:56,519
Speaker 3: I get all that, but I'm having a hard time,

1782
01:23:57,120 --> 01:23:57,680
Speaker 3: like you do.

1783
01:23:57,760 --> 01:24:00,760
Speaker 1: You see Kenyan Sidik as having like a bad analytical

1784
01:24:00,800 --> 01:24:03,880
Speaker 1: profile because I look at his like breakout score, which

1785
01:24:03,920 --> 01:24:05,880
Speaker 1: is based on receiving yards per team pass, attempting to

1786
01:24:05,880 --> 01:24:09,760
Speaker 1: adjust for program strength and for age, it's like seventy fourth,

1787
01:24:09,880 --> 01:24:12,920
Speaker 1: seventy fifth percentile. Like, it's not it's it's certainly not bad.

1788
01:24:13,000 --> 01:24:16,000
Speaker 1: I just think that like Stowers has just a better

1789
01:24:16,160 --> 01:24:19,120
Speaker 1: production profile. And then whenever you put it layer in

1790
01:24:19,400 --> 01:24:22,000
Speaker 1: projected draft capital the model like sidik more but like

1791
01:24:22,600 --> 01:24:24,400
Speaker 1: you know, I will say that Stowers has a better

1792
01:24:24,439 --> 01:24:27,280
Speaker 1: production profile and age justin even though he's a couple

1793
01:24:27,280 --> 01:24:29,760
Speaker 1: of years older than him, Like, it looks better, right,

1794
01:24:30,040 --> 01:24:31,840
Speaker 1: But it's hard for me to say that Sidiq has

1795
01:24:31,880 --> 01:24:33,360
Speaker 1: a bad production profile.

1796
01:24:34,720 --> 01:24:37,479
Speaker 2: Yeah, I think also whenever you consider the fact that,

1797
01:24:38,280 --> 01:24:39,519
Speaker 2: you know, the tight end can kind of be a

1798
01:24:39,560 --> 01:24:42,000
Speaker 2: onesie position for the NFL. And so it's not like

1799
01:24:42,080 --> 01:24:44,280
Speaker 2: you have multiple out there all the time, like wide

1800
01:24:44,320 --> 01:24:45,639
Speaker 2: receivers to where you're competing.

1801
01:24:46,000 --> 01:24:46,240
Speaker 3: You're not.

1802
01:24:46,720 --> 01:24:48,120
Speaker 4: You're a wide receiver.

1803
01:24:48,200 --> 01:24:49,600
Speaker 2: It's easy to get the snaps and they're not just

1804
01:24:49,640 --> 01:24:52,160
Speaker 2: competing for targets, but for a tight end sometimes you're

1805
01:24:52,320 --> 01:24:54,720
Speaker 2: you're competing for snaps to then compete for targets. Yeah,

1806
01:24:54,840 --> 01:24:57,439
Speaker 2: and so like, you know, Sidiq was behind Terrence Ferguson,

1807
01:24:57,439 --> 01:25:00,040
Speaker 2: who was the second round pick last year, and and

1808
01:25:00,200 --> 01:25:02,960
Speaker 2: you know also had Teed Johnson and a few other

1809
01:25:03,000 --> 01:25:05,880
Speaker 2: wide receivers to then compete with for when he did

1810
01:25:05,960 --> 01:25:09,120
Speaker 2: get on the field, you know, prior to twenty twenty five.

1811
01:25:09,600 --> 01:25:12,000
Speaker 2: So you could argue some of that a wave with

1812
01:25:12,200 --> 01:25:15,560
Speaker 2: a little bit of competition. The production profile, like, he

1813
01:25:15,680 --> 01:25:18,960
Speaker 2: doesn't hit on a lot of what I'm looking for,

1814
01:25:19,200 --> 01:25:21,639
Speaker 2: but he's also not that far off as well. Yeah,

1815
01:25:22,520 --> 01:25:25,040
Speaker 2: And so like I think that he's pretty good. His

1816
01:25:25,160 --> 01:25:27,880
Speaker 2: advanced numbers look really well as too. Like I mentioned that,

1817
01:25:28,400 --> 01:25:30,680
Speaker 2: you know, seven of the ten advanced markers for tight

1818
01:25:30,760 --> 01:25:32,600
Speaker 2: ends kind of seems like the baseline for me. He

1819
01:25:32,760 --> 01:25:35,600
Speaker 2: hits on seven, So he's right in there. Obviously, the

1820
01:25:35,720 --> 01:25:38,000
Speaker 2: draft capital is going to be pretty significant for him

1821
01:25:38,000 --> 01:25:41,120
Speaker 2: as well. He's got the blocking ability. My fear is

1822
01:25:42,439 --> 01:25:45,000
Speaker 2: that the I think we've kind of cooled maybe a

1823
01:25:45,040 --> 01:25:46,639
Speaker 2: little bit on it, but like I think the Dynasty

1824
01:25:46,720 --> 01:25:51,360
Speaker 2: community really double counted his combine Yeah, because like imagine

1825
01:25:51,400 --> 01:25:54,519
Speaker 2: watching Kenyon Sadiq film and then saying, yeah, this guy's

1826
01:25:54,560 --> 01:25:58,479
Speaker 2: like not going to break every combine test that he's

1827
01:25:58,520 --> 01:26:00,400
Speaker 2: going to do. Like I mean, I didn't expect around

1828
01:26:00,439 --> 01:26:03,760
Speaker 2: a sub four four, of course, but we shouldn't double.

1829
01:26:03,560 --> 01:26:04,320
Speaker 4: Count that stuff.

1830
01:26:04,439 --> 01:26:07,360
Speaker 2: And honestly, some of that is a little scary because

1831
01:26:07,400 --> 01:26:10,080
Speaker 2: some of his closest comps in my market system are

1832
01:26:10,160 --> 01:26:14,519
Speaker 2: like noahfanse Oj Howard, Ben Sinnett, Terrence Ferguson popped up

1833
01:26:14,520 --> 01:26:18,200
Speaker 2: a little bit as well. So like some of the

1834
01:26:18,360 --> 01:26:21,800
Speaker 2: stuff that we have seen from previous college tight ends

1835
01:26:22,360 --> 01:26:26,400
Speaker 2: that don't have the greatest production profile but they have

1836
01:26:26,439 --> 01:26:28,240
Speaker 2: all of the athleticism in the world, is that that

1837
01:26:28,320 --> 01:26:33,120
Speaker 2: athleticism doesn't translate as well whenever every other player on

1838
01:26:33,160 --> 01:26:36,400
Speaker 2: the field is nearly as athletic. So I think it's

1839
01:26:36,520 --> 01:26:38,560
Speaker 2: it's one of those things where like you hear that

1840
01:26:38,720 --> 01:26:41,760
Speaker 2: tight end athleticism is just so important, and I think

1841
01:26:41,840 --> 01:26:44,800
Speaker 2: that that's true, it's more important than the other positions.

1842
01:26:45,240 --> 01:26:47,680
Speaker 2: But to say then that it is more important or

1843
01:26:47,760 --> 01:26:51,360
Speaker 2: that production doesn't matter as much for tight end, I

1844
01:26:51,520 --> 01:26:53,320
Speaker 2: take issue with that because I do think the college

1845
01:26:53,360 --> 01:26:58,080
Speaker 2: production matters, and Kenyan Staek doesn't hit on a lot

1846
01:26:58,160 --> 01:27:01,000
Speaker 2: of stuff, even though he hits on you know, a

1847
01:27:01,160 --> 01:27:05,800
Speaker 2: decent it's he's fine. I think he's a fine production profile. Yeah,

1848
01:27:06,000 --> 01:27:08,479
Speaker 2: and he has got the athleticism. I just don't think

1849
01:27:08,520 --> 01:27:10,040
Speaker 2: that he's as good as you like Stowers from a

1850
01:27:10,120 --> 01:27:11,599
Speaker 2: fantasy football perspective.

1851
01:27:11,760 --> 01:27:13,759
Speaker 1: Look, I think if someone likes Stowers more than Sidik,

1852
01:27:13,800 --> 01:27:15,519
Speaker 1: I'm not gonna fight it because I think they're like

1853
01:27:15,600 --> 01:27:18,560
Speaker 1: the model is that model won't more than likely have

1854
01:27:18,680 --> 01:27:21,760
Speaker 1: Stowars ahead of Sadik. But I mean, you look at

1855
01:27:21,800 --> 01:27:24,600
Speaker 1: the individual metrics that we're analyzing, and it's easy to

1856
01:27:24,680 --> 01:27:27,439
Speaker 1: see how you could go in that direction. My thing

1857
01:27:27,560 --> 01:27:29,800
Speaker 1: is more so like I feel like if I feel

1858
01:27:29,800 --> 01:27:32,080
Speaker 1: like if it's almost like if Stowers wasn't in this

1859
01:27:32,240 --> 01:27:35,639
Speaker 1: draft class, people would love Kenyan Sadik right but there,

1860
01:27:36,080 --> 01:27:39,360
Speaker 1: but because Stowars is in the class, there's this like

1861
01:27:39,600 --> 01:27:43,880
Speaker 1: natural clickbaity like oh Stowars is good and Sadik is bad,

1862
01:27:44,200 --> 01:27:45,960
Speaker 1: you know, or or like I'm not gonna I don't

1863
01:27:46,040 --> 01:27:47,760
Speaker 1: need you know, this isn't the profile that I want

1864
01:27:47,800 --> 01:27:48,120
Speaker 1: to target.

1865
01:27:48,320 --> 01:27:50,439
Speaker 3: But if Stowers wasn't there, Sadik would be.

1866
01:27:50,560 --> 01:27:52,960
Speaker 1: Easy the tight end one in this class, you know,

1867
01:27:53,120 --> 01:27:55,200
Speaker 1: like like yep, there wouldn't really be that conversation.

1868
01:27:55,760 --> 01:27:57,360
Speaker 3: Are there are there any other tight ends out there

1869
01:27:57,439 --> 01:27:58,160
Speaker 3: that you're interested in?

1870
01:27:59,320 --> 01:28:01,600
Speaker 2: I like Max Clayer, He's my tight end three. I

1871
01:28:01,680 --> 01:28:04,320
Speaker 2: think he's just a very solid tight end player.

1872
01:28:04,800 --> 01:28:05,240
Speaker 4: I gravi it.

1873
01:28:05,360 --> 01:28:07,640
Speaker 2: I kind of start gravitating towards him in the mid

1874
01:28:07,720 --> 01:28:09,600
Speaker 2: to late second round of rookie drafts over some of

1875
01:28:09,680 --> 01:28:12,519
Speaker 2: those weird Day two wide receivers we were talking about.

1876
01:28:13,320 --> 01:28:17,040
Speaker 2: Tanner Koziel is my favorite late round tight end player.

1877
01:28:17,400 --> 01:28:17,519
Speaker 4: Uh.

1878
01:28:17,560 --> 01:28:21,000
Speaker 2: He hits on a lot of production, just hits on

1879
01:28:21,080 --> 01:28:24,479
Speaker 2: my baselines for athleticism. Like I'm talking like he I'm

1880
01:28:24,520 --> 01:28:26,760
Speaker 2: looking for a four to seven or better forty he

1881
01:28:27,000 --> 01:28:29,160
Speaker 2: ran a four to seven. I'm looking for a one

1882
01:28:29,200 --> 01:28:31,360
Speaker 2: hundred speed score. He's got like one oh one like that.

1883
01:28:31,560 --> 01:28:34,720
Speaker 2: Like he like just hits that athleticism stuff. But the

1884
01:28:34,800 --> 01:28:37,720
Speaker 2: production was pretty great at back to back years a

1885
01:28:37,800 --> 01:28:40,960
Speaker 2: multiple schools the past two years, and I think that

1886
01:28:41,040 --> 01:28:42,800
Speaker 2: he could be you know, he's a name that I

1887
01:28:42,840 --> 01:28:45,040
Speaker 2: haven't even seen mentioned as like a potential even top

1888
01:28:45,120 --> 01:28:49,200
Speaker 2: five guy for people's in profile. Great production, but yeah,

1889
01:28:49,240 --> 01:28:51,439
Speaker 2: the production profile is all there. And if he turns

1890
01:28:51,439 --> 01:28:53,960
Speaker 2: into Jake Ferguson or Dalton Schultz is a third or

1891
01:28:53,960 --> 01:28:56,080
Speaker 2: fourth round rookie pick, like all that that's a w

1892
01:28:58,280 --> 01:29:00,560
Speaker 2: The last name I want to throw out, there is

1893
01:29:00,960 --> 01:29:04,040
Speaker 2: day Kwon Right out of Ole Miss, Like you want

1894
01:29:04,080 --> 01:29:07,519
Speaker 2: to talk about another guy that is uber athletic, kind

1895
01:29:07,520 --> 01:29:10,320
Speaker 2: of plays this f position as like more of a

1896
01:29:10,400 --> 01:29:13,240
Speaker 2: slot than a blocker. The production profile is kind of

1897
01:29:14,080 --> 01:29:17,920
Speaker 2: you know, iffy, but I I find myself he does

1898
01:29:17,960 --> 01:29:19,960
Speaker 2: really well in the advanced stuff as well. He also

1899
01:29:20,040 --> 01:29:23,360
Speaker 2: hits on seven advanced markers, so he he's get thrown

1900
01:29:23,400 --> 01:29:24,320
Speaker 2: into that kind of list.

1901
01:29:24,400 --> 01:29:26,760
Speaker 4: We'll see where draft capital ultimately lands up for him.

1902
01:29:27,520 --> 01:29:29,599
Speaker 4: But I think he's an.

1903
01:29:29,560 --> 01:29:33,920
Speaker 2: Interesting Like you mentioned, Jeff Caldwell is like an arbitrage

1904
01:29:34,000 --> 01:29:37,000
Speaker 2: play for the wide receiver position, and I think that

1905
01:29:37,120 --> 01:29:41,040
Speaker 2: day Quon Right is a free arbitrage play because he's

1906
01:29:41,080 --> 01:29:42,880
Speaker 2: not even gonna get drafted in your rookie drafts. He's

1907
01:29:42,960 --> 01:29:46,080
Speaker 2: just I think, a name to monitor this weekend for

1908
01:29:46,120 --> 01:29:49,840
Speaker 2: the NFL draft. Yeah, see if he gets drafted at all,

1909
01:29:50,800 --> 01:29:52,600
Speaker 2: and if he does, maybe he's a guy that you

1910
01:29:52,680 --> 01:29:55,600
Speaker 2: pick up and just kind of stash instead of you know,

1911
01:29:55,680 --> 01:29:58,320
Speaker 2: having an open roster spot or rostering your wide receiver

1912
01:29:58,479 --> 01:29:59,240
Speaker 2: ten or something like that.

1913
01:29:59,400 --> 01:29:59,599
Speaker 3: Yeah.

1914
01:29:59,600 --> 01:30:00,200
Speaker 4: I believe so.

1915
01:30:00,320 --> 01:30:01,960
Speaker 1: Brandon Goadula was the one who did all the tight

1916
01:30:02,040 --> 01:30:05,479
Speaker 1: end profiles in the Prospect Guide, and he mentioned one

1917
01:30:05,520 --> 01:30:07,240
Speaker 1: of the one of the lines, and the guide says,

1918
01:30:07,320 --> 01:30:10,679
Speaker 1: from a fantasy football standpoint, he which is right, could

1919
01:30:10,680 --> 01:30:12,880
Speaker 1: be one of the bigger over performers among this year's

1920
01:30:12,920 --> 01:30:14,400
Speaker 1: tight end class in the right situation.

1921
01:30:14,720 --> 01:30:18,920
Speaker 3: So is right? Lockstep with you on that one.

1922
01:30:18,960 --> 01:30:21,439
Speaker 1: All right, you give me a lot of time. One

1923
01:30:21,479 --> 01:30:23,920
Speaker 1: more question before I let you go. Give me a

1924
01:30:24,080 --> 01:30:27,160
Speaker 1: bold take about this year's draft. That'll probably be wrong

1925
01:30:27,520 --> 01:30:30,519
Speaker 1: in you know what, eight hours by the time people

1926
01:30:30,560 --> 01:30:31,120
Speaker 1: are listening to this.

1927
01:30:32,040 --> 01:30:35,160
Speaker 2: Yep, yep, yeah, it's this is really going to get

1928
01:30:35,200 --> 01:30:39,360
Speaker 2: tested tonight Thursday night in Round one. I do think

1929
01:30:39,479 --> 01:30:43,080
Speaker 2: that the big three wide receivers. I think all of

1930
01:30:43,120 --> 01:30:46,840
Speaker 2: them go top ten, and I there's a multitude of

1931
01:30:46,920 --> 01:30:48,840
Speaker 2: landing spots for that to happen everywhere, all three. Like

1932
01:30:48,920 --> 01:30:52,360
Speaker 2: you've got the Giants twice, you've got the Browns of

1933
01:30:52,400 --> 01:30:55,400
Speaker 2: the Commanders, the Saints, the Chiefs. Nobody talks about how

1934
01:30:55,439 --> 01:30:57,320
Speaker 2: the Titans have a need at wide receiver, but they

1935
01:30:57,400 --> 01:30:59,559
Speaker 2: absolutely have a need at wide receiver that maybe if

1936
01:30:59,560 --> 01:31:02,160
Speaker 2: they trade back, you know, that could be very interesting

1937
01:31:02,160 --> 01:31:03,840
Speaker 2: if Jeremiah loves On available for them.

1938
01:31:04,240 --> 01:31:08,679
Speaker 4: So I think that all three of them go top ten, Lemon, Tyson, Tate,

1939
01:31:08,840 --> 01:31:10,120
Speaker 4: I do. I also think.

1940
01:31:11,080 --> 01:31:13,560
Speaker 2: I think there's the other three wide receivers go in

1941
01:31:13,600 --> 01:31:16,920
Speaker 2: the first round, Casey, Boston and Cooper. And then I

1942
01:31:17,000 --> 01:31:20,200
Speaker 2: think that this twenty twenty six class sets the NFL

1943
01:31:20,280 --> 01:31:22,400
Speaker 2: record for the most wide receivers drafted in the first

1944
01:31:22,479 --> 01:31:25,160
Speaker 2: two rounds, a record that was set in twenty twenty

1945
01:31:25,280 --> 01:31:28,840
Speaker 2: with thirteen. Twenty twenty two tied it, But I think

1946
01:31:28,880 --> 01:31:32,800
Speaker 2: that we can do it this year with fourteen of them.

1947
01:31:33,040 --> 01:31:35,600
Speaker 2: That's there's enough of these interesting names that you and

1948
01:31:35,680 --> 01:31:38,560
Speaker 2: I maybe just don't really like, but we can you know,

1949
01:31:38,680 --> 01:31:41,560
Speaker 2: you can see how an NFL team's going to like

1950
01:31:41,640 --> 01:31:43,280
Speaker 2: this guy in this role. And I think that we

1951
01:31:43,439 --> 01:31:48,960
Speaker 2: get a decent number of wide receivers Thursday and Friday

1952
01:31:49,040 --> 01:31:49,600
Speaker 2: night early on.

1953
01:31:49,840 --> 01:31:50,960
Speaker 4: Yeah. I like that call.

1954
01:31:51,040 --> 01:31:52,599
Speaker 3: I mean, I really think it's possible.

1955
01:31:52,640 --> 01:31:54,560
Speaker 1: The way that the mock draft stuff is looking in

1956
01:31:54,640 --> 01:31:56,880
Speaker 1: the data that I'm looking at, like I did this

1957
01:31:57,000 --> 01:31:59,599
Speaker 1: on the show last week, the Late Round Show, where

1958
01:31:59,640 --> 01:32:04,280
Speaker 1: I looked at projected since twenty sixteen, projected Day one

1959
01:32:04,360 --> 01:32:07,320
Speaker 1: and Day two wide receivers versus actual and NFL mock

1960
01:32:07,400 --> 01:32:10,639
Speaker 1: draft database has been relatively on point they're like minus

1961
01:32:10,800 --> 01:32:14,439
Speaker 1: point four on average difference between projected and actual and

1962
01:32:14,640 --> 01:32:17,720
Speaker 1: right now it's projected to have the tide for the

1963
01:32:17,840 --> 01:32:20,799
Speaker 1: most Day one and Day two picks since twenty sixteen,

1964
01:32:20,920 --> 01:32:23,400
Speaker 1: so like it's very possible that we get a lot

1965
01:32:23,439 --> 01:32:26,519
Speaker 1: of those happening, you know, into round two. So that

1966
01:32:27,000 --> 01:32:30,680
Speaker 1: definitely is a very logical and quantitative approach that you

1967
01:32:30,720 --> 01:32:33,720
Speaker 1: took there with that, with that that bold pick. But man,

1968
01:32:33,800 --> 01:32:36,040
Speaker 1: this was great. I really appreciate the time. I really

1969
01:32:36,080 --> 01:32:38,680
Speaker 1: appreciate the analysis. Let everyone know where they can find you,

1970
01:32:38,800 --> 01:32:40,320
Speaker 1: what you're working on, all that great stuff.

1971
01:32:41,520 --> 01:32:44,479
Speaker 2: Yeah, it's basically all my work is on the DLF

1972
01:32:44,640 --> 01:32:49,400
Speaker 2: YouTube channel. I'm at amece Hayes Underscore on X and

1973
01:32:49,600 --> 01:32:54,240
Speaker 2: Blue Sky. I did just post the the link to

1974
01:32:54,479 --> 01:32:57,920
Speaker 2: my marker System tool, which is just the markersystem dot com,

1975
01:32:58,600 --> 01:33:00,280
Speaker 2: So you can go and check that out. All of

1976
01:33:00,320 --> 01:33:02,320
Speaker 2: the grades on there right now for twenty twenty six

1977
01:33:02,880 --> 01:33:06,679
Speaker 2: are you projected ADP based on mock draft ADP.

1978
01:33:07,640 --> 01:33:09,360
Speaker 4: That will get updated of course after the.

1979
01:33:09,360 --> 01:33:12,799
Speaker 2: Weekend, but you can go in and see final grades

1980
01:33:12,880 --> 01:33:16,599
Speaker 2: for any player in any class since twenty ten, as

1981
01:33:16,640 --> 01:33:19,519
Speaker 2: well as a kind of objective lens view of the

1982
01:33:19,640 --> 01:33:22,599
Speaker 2: Dynasty rankings for this class based on those final grades,

1983
01:33:23,720 --> 01:33:25,639
Speaker 2: a class breakdown that's going to tell you that twenty

1984
01:33:25,720 --> 01:33:28,760
Speaker 2: twenty six is the worst class in since twenty ten

1985
01:33:28,880 --> 01:33:31,960
Speaker 2: at least, and a bunch of other really cool things.

1986
01:33:31,960 --> 01:33:33,960
Speaker 2: I've gotten some really good feedback on it, so which

1987
01:33:34,000 --> 01:33:37,599
Speaker 2: I'm very appreciative of. So those are those are the plugs?

1988
01:33:37,760 --> 01:33:39,360
Speaker 3: Yeah, no, it's it's awesome stuff.

1989
01:33:40,120 --> 01:33:43,960
Speaker 1: You guys won't hear from me until Tuesday next week

1990
01:33:44,080 --> 01:33:46,400
Speaker 1: because the Draft is happening Thursday.

1991
01:33:46,520 --> 01:33:47,679
Speaker 3: This is when this releases.

1992
01:33:48,400 --> 01:33:51,599
Speaker 1: I will be working on that Prospect Guide Thursday, Friday, Saturday.

1993
01:33:52,120 --> 01:33:54,760
Speaker 1: Make sure you buy the Prospect Guide now because you

1994
01:33:54,800 --> 01:33:56,720
Speaker 1: can get the pre draft version of it and then

1995
01:33:56,720 --> 01:33:58,639
Speaker 1: when the post draft version comes, So do you save

1996
01:33:58,720 --> 01:34:00,960
Speaker 1: that down you download it, and then the post draft

1997
01:34:01,040 --> 01:34:04,639
Speaker 1: version comes late on Saturday after the NFL Draft is over,

1998
01:34:05,000 --> 01:34:07,080
Speaker 1: and you can save that down to and you can

1999
01:34:07,120 --> 01:34:09,640
Speaker 1: have both versions. So if you do purchase the pre

2000
01:34:09,760 --> 01:34:11,960
Speaker 1: draft version of the guide, you will get the post

2001
01:34:12,000 --> 01:34:15,560
Speaker 1: draft version email to your inbox just hours after the

2002
01:34:15,680 --> 01:34:16,639
Speaker 1: NFL Draft is over.

2003
01:34:17,520 --> 01:34:21,439
Speaker 3: So enjoy that, Enjoy the NFL Draft, and as always,

2004
01:34:22,160 --> 01:34:22,920
Speaker 3: thanks for tuning in.