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Speaker 1: This is Straight Fire with Jason McIntyre. What's going on,

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Speaker 1: ladies and gentlemen, Straight Fire Jason McIntyre, Friday, March. The

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Speaker 1: weekend is here, But first we gotta recap the NBA

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Speaker 1: trade deadline. I was a little skeptical that anything would

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Speaker 1: go down, and plenty went down. We'll break that down shortly.

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Speaker 1: I do have to plug our guest who's coming up

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Speaker 1: fift twenty minutes. I think you're gonna like it a lot.

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Speaker 1: It's a college kid who started some analytics based basketball

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Speaker 1: website and it is absolutely blowing up. He's had thirty

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Speaker 1: college basketball programs reach out to him for his service.

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Speaker 1: He had an NBA g M. I won't tell you

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Speaker 1: who it is. I won't spoil it. He'll tell you

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Speaker 1: who it is who emailed him. This is a Colgate

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Speaker 1: junior twenty years old and he's got an NBA g

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Speaker 1: M emailing him. This kid, You know, we like to

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Speaker 1: get on stuff early. Okay, That's kind of been my

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Speaker 1: calling card in back dating back to the website, but

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Speaker 1: also with radio with finding guests, um and and I

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Speaker 1: do believe this guy's onto something and you're gonna really

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Speaker 1: love this interview. He is a sharp, smart kid. His

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Speaker 1: name is Simon. He goes to Colgate and the social

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Speaker 1: media handle you want to check out is shut Quality.

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Speaker 1: But first, first we gotta break down the NBA trade deadline.

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Speaker 1: Obviously some big time losers, some winners, and then I

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Speaker 1: think there's one team that clearly won everything and they

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Speaker 1: now are legitimate contenders to get to the finals in

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Speaker 1: my eyes. But Rob g, I don't know, what do you?

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Speaker 1: What do you think the best breakdown is? Do we

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Speaker 1: start in the East. Do we start with the deals

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Speaker 1: that did not happen? Do we start in the West?

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Speaker 1: What do you You're the producer, you know how these

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Speaker 1: things work, you know what the audience wants. Where do

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Speaker 1: we begin? Well, the biggest storyline for UM trade deadline

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Speaker 1: day was the deal that wasn't made, and that was

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Speaker 1: the Lakers and Kyle Lowry. Because from everything that was

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Speaker 1: reported yesterday, the deal was there to be made provided

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Speaker 1: that the Lakers include Taylor Horton Tucker in their in

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Speaker 1: their offer of Dennis Shrewder and David's Caldwell Pope and

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Speaker 1: future draft consideration. They said no, and they have been

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Speaker 1: getting killed for the most part of the Yes they

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Speaker 1: have I have been pushing back on in a big

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Speaker 1: way because I thought that would have been way too

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Speaker 1: much to give up for Kyle Lowry. But um, that

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Speaker 1: is easily the biggest news of the day because the Lakers,

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Speaker 1: as Shams reported yesterday, they are gonna be at without

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Speaker 1: Lebron and a D for at least three more weeks,

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Speaker 1: it looks like, and in the Western Conference, three weeks

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Speaker 1: can be the difference between being a three seed and

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Speaker 1: being a ten seed. So we'll see what happens with that.

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Speaker 1: But I think the big story was the move that

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Speaker 1: the Lakers did not make that they're getting killed, and

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Speaker 1: I think they made the right decision. First of all,

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Speaker 1: I don't know who these jabronies are killing the Lakers. Okay,

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Speaker 1: let's let's weed out the d bags on Twitter who

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Speaker 1: think they know basketball and are like, you've got to

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Speaker 1: do whatever you can to get you know, one time

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Speaker 1: all NBA guard, the big names who who thought it

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Speaker 1: was a bad move, Who give me the names, let's hear.

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Speaker 1: Let's call these guys, three of them that have been

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Speaker 1: on this show before. Chris Bruce, a Fox Sports one

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Speaker 1: NFL NBA analyst, Rick Buker F S one NBA analyst

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Speaker 1: and uh from the odd couple Rob Parker all killed

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Speaker 1: the Lakers. Of course, you know, if you say the

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Speaker 1: Lakers did a good thing, nobody cares. But if you say, oh,

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Speaker 1: the Lakers totally screwed up, then then you get traction.

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Speaker 1: Like I just totally disagree. A thirty five year old

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Speaker 1: point guard who was All NBA third Team once, who

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Speaker 1: we don't know what he's got left in the tank,

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Speaker 1: and you're gonna part without Horton Tucker, who is untouchable

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Speaker 1: according to the Lakers, which I think is the right move.

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Speaker 1: I mean, you would sacrifice your entire immediate future outside

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Speaker 1: of this year with Horton Tucker, Shrewder and k c P.

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Speaker 1: I mean, I listen if you if you said a

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Speaker 1: Shrewder and KCP done deal. But that's not enough for

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Speaker 1: the Raptors. So the Lakers that would have been trotting

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Speaker 1: out always hurt Anthony Davis, thirty six year old Lebron,

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Speaker 1: thirty five year old Kyle Lowry. They could have been

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Speaker 1: right back to the basement in a year. And the

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Speaker 1: worst part is the worst part, Rob, you know this,

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Speaker 1: All the picks go to the Pelicans, Like I know,

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Speaker 1: they're not gonna be great if Lebron and a d

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Speaker 1: are out for a considerable amount of time. But if

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Speaker 1: it were Kyle Lowry, and then you're talking about who

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Speaker 1: you caruso. I mean you're talking about like you need Horton.

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Speaker 1: Tucker's playing big minutes, KCP. Horton Tucker has got a

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Speaker 1: future in this league. Don't tell me you don't think

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Speaker 1: he will have a future in the NBA. I don't

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Speaker 1: know if he's a multi time All Star. It's it's

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Speaker 1: too early, guys, twenty years old. But he's clearly a player,

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Speaker 1: and Shrewder is definitely a player. Lakers were smart to

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Speaker 1: stand down. That being said, I do believe even the

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Speaker 1: Miami Heat made the right decision not over paying for

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Speaker 1: Kyle Lowry. According to everybody, the asking price for thirty

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Speaker 1: five year old Kyle Lowry was we want Tyler Hero

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Speaker 1: or Duncan Robinson. It's like no, no, no, I mean

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Speaker 1: rob But listen, we disagree on a lot. And I

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Speaker 1: had a buddy who I told you about, texting me

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Speaker 1: that he he likes your takes, but he's never disagreed

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Speaker 1: with you more than on your Lonzo one over Shrewder.

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Speaker 1: I gotta say this. I'm not parting with Duncan Robinson

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Speaker 1: for thirty five year old Kyle Lowry. I'm not doing it.

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Speaker 1: Duncan Robinson has a major value. This is a sniper

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Speaker 1: who's maybe your fifth best player, and you got to

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Speaker 1: the finals last year. By the way, we'll get to

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Speaker 1: the Heat more. I thought they had a very very nice,

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Speaker 1: um successful trade deadline, best in the East, better than

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Speaker 1: the Celtics. Yes, but listen, this whole Kyle Lowry thing

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Speaker 1: is like it got blown out of proportion all of

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Speaker 1: a sudden. Kyle Lowry is this like mythical hero and

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Speaker 1: he he was gonna go anywhere and instantly make them

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Speaker 1: like a massive contender or put some team over the top.

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Speaker 1: Like could the Clippers have used him? Certainly, but they

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Speaker 1: don't have anything to give up. They're not if they

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Speaker 1: didn't want Lou Williams back in Toronto. I mean, Lou

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Speaker 1: Williams needs his trip club, so he's headed to Atlanta anyways.

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Speaker 1: All right, so we got Kyle Lowry out of the

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Speaker 1: wa Where would you like to go to next, rob Well,

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Speaker 1: I would love to go to your Miami Heat because

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Speaker 1: I think we have a difference of opinion on what

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Speaker 1: the Miami Heat did yesterday. So let me hear yours

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Speaker 1: and I'll tell you what I think. All right, So

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Speaker 1: the Miami Heat um kind of sputtered off to an

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Speaker 1: early rocky start. They were coming off the bubble, an exhausting, excrucery,

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Speaker 1: excruciating run. They got off to kind of a rocky start,

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Speaker 1: and pat Riley, one of the best front office men

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Speaker 1: and probably the last, you know, five decades in the NBA,

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Speaker 1: decided I'm not gonna panic, I'm not gonna overpay for anybody.

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Speaker 1: Let me get Victor Oladipot on the cheap, let me

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Speaker 1: put that really rent him, let me pick up Trevor

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Speaker 1: Ariza on the wing, and let me add the big kid, Angelica,

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Speaker 1: Angelica from the Kings, who they got for a bag

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Speaker 1: of donuts basically. And I think the big potential coup

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Speaker 1: there is Oladipo, who the number you need to know. Yes,

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Speaker 1: he's been up and down this year, massive injuries in

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Speaker 1: the last two years on catch and shoot threes, and

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Speaker 1: news flash, Oladipo ain't gonna be the number one, number

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Speaker 1: two or number three option in Miami. He is strictly

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Speaker 1: at this point a catch and shoot guy until he's

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Speaker 1: fully healthy. The apple on or maybe there's a cherry

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Speaker 1: on top of the apple pie would be LaMarcus Aldridge,

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Speaker 1: another thirty five year old. I think he's thirty five,

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Speaker 1: who is just gonna give you added bulk in the

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Speaker 1: front court. So the Miami Heat, now, who are a

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Speaker 1: five team? I guess the game under five after losing

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Speaker 1: last night. They have depth in the backcourt, Dragic, Hero,

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Speaker 1: Kendrick second to none, great boxing nickname with a boxer

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Speaker 1: with the nickname second and none, I'm just gonna call

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Speaker 1: Kendrick None, that Um Duncan Robinson in the backcourt, and

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Speaker 1: now Oladipo, You've got Jimmy Butler, Igu Dolla Ariza, and

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Speaker 1: then up front you got um Bamaa Bio and Bijelica

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Speaker 1: with you know, maybe you could get a smattering of

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Speaker 1: help from the rookie precious out of St. John's. And

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Speaker 1: you now have a team full of young guys Hero

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Speaker 1: Duncan Robinson None. You've got the KG veteran Jimmy Butler,

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Speaker 1: who's like your leader. You've got the vet with the

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Speaker 1: championship pedigree, Andrea Goudala, Uh Trevor Ariza also has that

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Speaker 1: and You've got the great young center in Bamada Baio

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Speaker 1: and the best part of all this rob They did

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Speaker 1: not give up any of their first round draft picks,

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Speaker 1: so they now are in position should somebody hit the market.

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Speaker 1: Be honest, I'm sick of Milwaukee. I gotta get out

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Speaker 1: of here. They are still in position with their best

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Speaker 1: assets Hero Duncan, Robinson and bam and the draft picks,

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Speaker 1: so they are still flexible heading into off season. I

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Speaker 1: thought the Miami he were massive winners at the trade deadline.

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Speaker 1: I think that they were winners, but I don't think

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Speaker 1: they were massive winners. And here's the reason why, um

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Speaker 1: Victor Oladipo. Like you mentioned, he he doesn't look like himself.

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Speaker 1: He hasn't looked like himself in a minute. But more importantly,

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Speaker 1: and he brought this up earlier, the reason that they

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Speaker 1: did not trade for Kyle Lowry was because they did

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Speaker 1: not want to include Tyler Hero, which is fine and

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Speaker 1: I totally understand that, but you go ahead and get

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Speaker 1: somebody at his position, Victor Oladipo, who are they most

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Speaker 1: likely gonna be giving a twenty plus million dollar contract

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Speaker 1: offer to All reports before the trade deadline were depending

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Speaker 1: where he goes, is probably gonna be a rental because

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Speaker 1: he's had eyes on Miami for two years now. So

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Speaker 1: I don't understand why you make the move for I mean,

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Speaker 1: I guess it is a low risk for low risk move,

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Speaker 1: so I guess I get it. But if Tyler Hero

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Speaker 1: is really the future that you're so excited about, and

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Speaker 1: Kendrick Nunn, who I think is really really good, he's

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Speaker 1: he's there's a reason why Tyler Hero was sent to

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Speaker 1: the bench because Kendrick Nunn has has been great. Um

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Speaker 1: I don't understand why they make that move if Tyler

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Speaker 1: Hero is what they think he is. And so right

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Speaker 1: now with their current roster, they got four guys basically

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Speaker 1: for for two positions, and they all need minutes and

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Speaker 1: they all need the ball for them to be effective

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Speaker 1: in their best way. That's none, that's Oladipo, that's Dragic,

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Speaker 1: and then that is um Hero. So I understand getting

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Speaker 1: the move. It's a very low risk move with Oladipo,

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Speaker 1: and you get him so that you can see what

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Speaker 1: he has this season before you offer him that a

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Speaker 1: contractor they're gonna offer him something you should. We'll see

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Speaker 1: if it's between twenty million and twenty four million whatever

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Speaker 1: that is. But I don't love the fit is the problem. Mhm.

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Speaker 1: I First of all, I let's see about this twenty

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Speaker 1: four million. I gotta see Victor la Depot getting twenty

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Speaker 1: four mill to believe it. Um not not at the

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Speaker 1: rate he's playing. Get after the injuries on Tyler Hero. Okay, yes,

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Speaker 1: he's going through his sophomore slump. All his numbers are

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Speaker 1: down across the board. That being said, need I remind

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Speaker 1: you Rob as a twenty year old last year, Tyler

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Speaker 1: Hero in the Eastern Conference Finals gave the Celtics thirty

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Speaker 1: seven in a game in a pivotal Game four that

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Speaker 1: Miami wins to go up three one. Okay, in the series,

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Speaker 1: Hero shot fifty from the field from three. In the

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Speaker 1: NBA Finals, his scoring was down a little bit, fourteen

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Speaker 1: points seven a game, shot forty one percent from deep.

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Speaker 1: This is as a twenty year old rookie. There is

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Speaker 1: no way on Earth I'm giving up on a guy

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Speaker 1: who delivered like that in the playoffs. Like it's one

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Speaker 1: thing that you struggle during the regular season. You got hot,

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Speaker 1: that's fine, What are you doing under the playoff microscope?

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Speaker 1: And I've seen it from Dylar Hero. He don't have

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Speaker 1: anything to prove to me. I'm not part of I

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Speaker 1: agree with you, and that's why I told you I

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Speaker 1: understood why they wouldn't make that trade for Kyle Lowry.

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Speaker 1: But my question though, is why then do you make

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Speaker 1: the move for Oladipo, Because the assumption is they're going

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Speaker 1: to resign him, and unless their plan is to have

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Speaker 1: Tie the Hero play point guard, which which is why

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Speaker 1: he got benched in the first place, because he's horrible

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Speaker 1: at point guard. He's not that's not his position. He's

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Speaker 1: a he's a scoring guard. So unless the plan is

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Speaker 1: to play the two of them next to each other,

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Speaker 1: which defensively, you'll get roasted number one, number two. There's

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Speaker 1: no real distributor between the two of them. I don't

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Speaker 1: understand the move that. That's what I don't get. I mean, essentially,

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Speaker 1: he I guess when you could give up Avery Bradley,

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Speaker 1: who you know, Remember this guy was pivotal with the Lakers,

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Speaker 1: and a Bradley opts out of the bubble and he's

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Speaker 1: had injuries, glory, he really has not gotten into the

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Speaker 1: flow with Miami, Kelly ol Audios Man bun and then

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Speaker 1: a first round swap rights, which is not as good

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Speaker 1: as it sounds, and it doesn't even sound great when

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Speaker 1: that's all you gotta give up for Roladipot. I don't

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Speaker 1: see why you don't say, let's take our chances. It

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Speaker 1: doesn't it just you're not giving up anything. Olick wasn't

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Speaker 1: playing any real minutes. Avery Bradley is a shell of himself,

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Speaker 1: and they got the younger guys. So I don't know.

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Speaker 1: I I love what the Miami did. I will say

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Speaker 1: I've been bullish on the Celtics getting to um the

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Speaker 1: Eastern Conference finals are giving Brooklyn all hell. I would

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Speaker 1: not be shocked if we saw the Miami he right

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Speaker 1: back in the Eastern Conference Finals. I'm they match up

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Speaker 1: pretty good, pretty good with the nets, right. Bam is

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Speaker 1: the big guy. Jimmy Butler is your dog to guard

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Speaker 1: Kevin Durant, or maybe you just have Bam chase around Durant.

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Speaker 1: Bam is very athletic as a as big, and you

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Speaker 1: put Harden on Butler. I don't know. There's no doubt

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Speaker 1: in my mind Miami was a good coach in Spoilstra

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Speaker 1: can hang with the nets. I'm not handing the nets

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Speaker 1: the East. I would say no doubt that the best team,

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Speaker 1: but you still have the nets one for sure, right,

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Speaker 1: oh yeah, and I'm actually uh Philly with the healthy mpiade.

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Speaker 1: I'm glad you brought up the Celtics though, because yet

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Speaker 1: again we had another situation of the trade that Danny

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Speaker 1: Ainge almost made. I don't know why I talked to

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Speaker 1: myself into thinking that they'd be able to get uh

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Speaker 1: and Aaron Gordon. I mean, history tells us that Danny

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Speaker 1: Age is a cheapskate, you know, like like if he's

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Speaker 1: going to to McDonald's, they ask me if he wants

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Speaker 1: to supersize. He says no, thank you, like you know,

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Speaker 1: because the actually forty cents is gonna kill him. Like

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Speaker 1: his history of almost getting people is long. It's longer

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Speaker 1: than the sees you get at Walgreens. But I don't

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Speaker 1: understand how if you're Boston and you know that your

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Speaker 1: team has issues, you know that you're in no man's land,

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Speaker 1: Like it's well documented. You get forty a for nothing.

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Speaker 1: It's two second round picks, which is in the NBA

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Speaker 1: the equivalent of nothing, and you let Denver come in

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Speaker 1: with Gary Harris overpaid contract, one future draft pick, and

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Speaker 1: I forget whoever the third guy was, but you let

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Speaker 1: them comment and beat you to that. You couldn't two

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Speaker 1: first round picks. You couldn't do that. You couldn't market smart. Again.

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Speaker 1: We we touched on this with the Miami Heat. You

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Speaker 1: want to stay flexible. If a superstar says he's unhappy

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Speaker 1: and he wants out, and that's been the history of

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Speaker 1: the last like seven years, you go down the list.

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Speaker 1: I mean, Carl Anthony Towns is the guy behind the

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Speaker 1: scenes right now who's extremely unhappy that the timber Wolves stink.

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Speaker 1: He's extremely unhappy. I know he's saying all the right

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Speaker 1: things about Anthony Edwards, but yeah, he's ticked. They don't

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Speaker 1: have Lamello ball and Anthony D'Angelo Russell his budd He's hurt.

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Speaker 1: Karl Anthony town has been losing his entire career. I

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Speaker 1: don't know if he has a playoff win. I think

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Speaker 1: he went once and they got swept, and there is

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Speaker 1: a thought that is he going to be the next

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Speaker 1: superstar who says I want out trade me. Okay, they

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Speaker 1: have ownership issues, the coach, the GM. There's a lot

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Speaker 1: of questions right now in Minnesota. So the Celtics by

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Speaker 1: keeping their first round picks remain in the mix for

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Speaker 1: a Carl Anthony Towns maybe honest is a pipe dream

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Speaker 1: could be him. I don't want to get crazy. I

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Speaker 1: don't think a guy like Luca Dante she just gonna

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Speaker 1: pull that. You just don't know. Though. We never saw

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Speaker 1: Kyrie Irving saying, oh, yeah, I won Game seven of

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Speaker 1: the finals, and um we went back to the finals,

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Speaker 1: and now I want get me the hell out of here. Like,

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Speaker 1: we don't expect that to happen. We don't expect Paul George,

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Speaker 1: who seemed like it was going well in indeed, to

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Speaker 1: just say I'm out of here, get me out of here.

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Speaker 1: And Davis, you know, they went around in the playoffs.

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Speaker 1: They go to the second round, played the Warriors kind

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Speaker 1: of tough, and then Anti Davis is like, yo, piece,

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Speaker 1: I'm out trade me. You just don't know who that

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Speaker 1: next guy is gonna be. So by retaining the first

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Speaker 1: round picks, the Celtics have that flexibility and it's not

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Speaker 1: like they're wasting core years because Tatum and Brown are

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Speaker 1: still super young. My only question an issue with this

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Speaker 1: deal is, like you said, forty is nice. He's a

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Speaker 1: bench guy in the clutch time minutes. Did they get better?

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Speaker 1: And I think the answers no, Tatum, Smart Brown, Kemba.

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Speaker 1: You can't play forty as your fifth guy. You'll get

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Speaker 1: destroyed on the inside. Inside you'll get pick and rolled

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Speaker 1: to death. And Daniel Feast has gone. I like what

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Speaker 1: Daniel Theiast did in the playoffs. They're trying to get

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Speaker 1: under the luxury tax. That to me is a sign

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Speaker 1: the owners unhappy with the way things are headed. Because

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Speaker 1: if you're dumping Fist after that playoffs series, yeah, I

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Speaker 1: mean he was good in the playoffs. Rob, I don't know,

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Speaker 1: but I thought he was very good. This puts a

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Speaker 1: big burden on Tristan Thompson, who us have the postseason pedigree.

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Speaker 1: He's been a plenty of playoff battles, obviously, all with Lebron.

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Speaker 1: But I just I'm disappointed in the in the Celtics.

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Speaker 1: But that sounds like there are bigger issues. That's why

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Speaker 1: they should have made that move for Aaron Gordon. Just

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Speaker 1: you know, if you're saying in the short term, you

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Speaker 1: can't play for and crunch time and you can absolutely

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Speaker 1: play Aaron Gordon in crunch time minutes. And it's funny

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Speaker 1: that you brought up all the picks that they're hoarding,

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Speaker 1: or that hoarding the picks that they have that they

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Speaker 1: refused to part with. Let me give you a list

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Speaker 1: of guys that they've, say, two thousand thirteen, that they

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Speaker 1: had the assets for, they had the picks, they had

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Speaker 1: the players. They've decided, you know what, we're not going

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Speaker 1: to do it. So this little flat right in the

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Speaker 1: face of your Carl Town's you know theory, Jimmy Butler.

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Speaker 1: Do you wanna start with Jimmy Butler, Chris Paul two thirteen,

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Speaker 1: Kevin Loved two thousand fourteen in na does not look

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Speaker 1: like a bad move. We'll see Blake Griffin, DeMarcus Cousins, Goods,

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Speaker 1: Paul George, Jimmy Butler when he's seventeen again, Kawahi Leonard

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Speaker 1: eighteen who went to the Raptors. They could have had him,

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Speaker 1: they said, no, thank you. Wait wait wait they could

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Speaker 1: have had him. Yes, Well, that's because they didn't know

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Speaker 1: if he was gonna sign long term, right, that's who cares?

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Speaker 1: And he well, what do you mean, who cares? You

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Speaker 1: can't give up all these number one picks and then

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Speaker 1: he's gonna piece out. Look at they used all these

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Speaker 1: number one picks. And what do they have with Semi

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Speaker 1: ojal A, Uh, he's a nice one. Was it? Peyton Pritchard?

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Speaker 1: I like him. They have a few guys. I get

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Speaker 1: the time Lord is their best guy that they've been

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Speaker 1: Robert Williams. Well, if by expending feasts, I guess they

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Speaker 1: think time Lord Robert Williams can play back minutes in

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Speaker 1: the playoffs. Well, so okay, so Kaeen Athony Davis, which

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Speaker 1: we said he wasn't gonna resign twenty nineteen. And this

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Speaker 1: is what I totally forgot about because it got kind

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Speaker 1: of swept under the rug quickly. James Harden, Okay, time out.

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Speaker 1: I need to I need to throw a flag here,

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Speaker 1: Rob and I don't want to go overboard. I know

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Speaker 1: we have more l A listeners than Boston. We've seen

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Speaker 1: the analytics. We know there's a large portion of l

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Speaker 1: A sports fans. Yeah, I'm not a Boston guy. I

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Speaker 1: was born in New York. I don't like any Boston teams.

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Speaker 1: A perception for the longest time is that Boston, you know,

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Speaker 1: not exactly welcoming to African American athletes. Now, I know

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Speaker 1: there's plenty of African American athletes have sad success there.

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Speaker 1: I'm not calling Boston a racist city. We know the

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Speaker 1: history in Boston. U Mookie Betts obviously um leaving for

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Speaker 1: the Dodgers. Uh, we know his his his ending in

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Speaker 1: Boston was not great and he's a great talent. I

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Speaker 1: don't know if guys like Anthony Davis and Paul George

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Speaker 1: and James aren't. We're gonna stay in Boston long term.

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Speaker 1: Kyrie Irvan went there playing for Brad Stevens. You're playing

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Speaker 1: with these younger and he left in like five minutes,

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Speaker 1: so you could kill Ange. That's fine. I'm not gonna

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Speaker 1: totally dispute it because the stats are other. These are facts.

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Speaker 1: These guys they could have been traded to Boston. But

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Speaker 1: I just wonder if there's other stuff at play that

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Speaker 1: might have factored and maybe the Danny anelones that we

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Speaker 1: don't And I'm not defending Danny. I'm just that's totally fair.

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Speaker 1: But you know, I will say this, the Celtics are

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Speaker 1: in the Lakers, Yankees, Patriots, Packers kind of thing where

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Speaker 1: just making the playoffs is not good enough for their

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Speaker 1: fan base. Like the Celtics, expectations every season should be

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Speaker 1: we are a title contender. And if you're more concerned

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Speaker 1: with being good for a long period of time than

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Speaker 1: being great for two or three years, that's a problem.

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Speaker 1: It's fair. I mean, they've been to the Eastern Conference

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Speaker 1: Finals through the last four years. Do you ever think

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Speaker 1: of them as legitimate contenders? Though during those windows, I

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Speaker 1: thought they had Miami beat last year. I love the

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Speaker 1: Tatum Brown combo, but did you think they were gonna

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Speaker 1: beat the Lakers if they got to the finals? Um,

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Speaker 1: I would have given Lebron and a d the advantge,

400
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Speaker 1: of course, exactly. Yeah, but you know Celtics are closed.

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Speaker 1: All right. Let's wrap up real quick with who we

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Speaker 1: I think we both agree is the big winner, and

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Speaker 1: that's the Denver Nuggets. And I am that guy who

404
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Speaker 1: has a I think nineteen eighties seven throwback Denver Nuggets hat. Um,

405
00:22:11,960 --> 00:22:14,479
Speaker 1: that's super cool. And I'm telling a random story here,

406
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Speaker 1: and I know the guy listens to the podcast. So

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Speaker 1: I I would take my kids to school, I walk

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Speaker 1: them over, and I would wear like different hats almost

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Speaker 1: every day, and usually a lot of more throwback. I

410
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Speaker 1: like obscure. I want to be different. I'm Jason, I'm unique.

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Speaker 1: I wear different hats that not everybody else's wear. I'm

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Speaker 1: not gonna rock a Dodgers hat. Okay, everybody's wearing a

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Speaker 1: Dodger's hat. I'm not gonna really wear a Lakers hat.

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Speaker 1: Everybody got Lakers hat. So I'll roll up with the

415
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Speaker 1: Denver Nuggets. Had I got an old school Milwaukee Bucks hat.

416
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Speaker 1: And a dad commented to my wife one time, He's like, oh,

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Speaker 1: your husband's Jason He's She's like yeah, He's like, oh,

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Speaker 1: the guy with the cool hats, and like, you know,

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Speaker 1: one of the dads was like noticing, Like people know,

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Speaker 1: I love the throwback stuff, and secretly I'm a bit

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Speaker 1: of a closet Denver Nuggets fan simply because of those

422
00:22:58,840 --> 00:23:03,160
Speaker 1: nineteen eighties jerseys. They're sick. And I'm telling you, Rob,

423
00:23:03,320 --> 00:23:06,880
Speaker 1: we can disagree to I'm you and I are blue

424
00:23:06,880 --> 00:23:09,879
Speaker 1: in the face, but I'm telling you right now, the

425
00:23:10,119 --> 00:23:16,240
Speaker 1: Denver Nuggets have probably the best roster in the Western Conference. Yes,

426
00:23:16,320 --> 00:23:20,240
Speaker 1: better than the Lakers. You're talking about yo, Kich Murray

427
00:23:20,280 --> 00:23:22,840
Speaker 1: and Aaron Gordon is a big three. Okay, They're gonna

428
00:23:22,880 --> 00:23:24,320
Speaker 1: get top four in the West. We know that Aaron

429
00:23:24,359 --> 00:23:27,240
Speaker 1: Gordon his prime coming off the bench. You have Michael

430
00:23:27,280 --> 00:23:31,280
Speaker 1: Porter Jr. Who was apparently untouchable. Okay in trades they

431
00:23:31,280 --> 00:23:34,120
Speaker 1: would not port with with Porter Jr. Coming off the bench.

432
00:23:34,160 --> 00:23:37,120
Speaker 1: You've also got Will Barton, a nice wing player. You've

433
00:23:37,119 --> 00:23:39,880
Speaker 1: got Paul Millsap, a veteran big coming off the bench.

434
00:23:40,080 --> 00:23:43,680
Speaker 1: Joe Michael Green, he's been into playoff games. This is

435
00:23:43,760 --> 00:23:46,480
Speaker 1: a really good team and I'm I challenge you, Rob

436
00:23:47,560 --> 00:23:50,240
Speaker 1: to show me a better big three in the West.

437
00:23:50,560 --> 00:23:55,080
Speaker 1: Portland has Dame c J and don't there isn't like

438
00:23:55,240 --> 00:23:59,760
Speaker 1: a third. The Clippers have Kauai PG, and there is

439
00:23:59,800 --> 00:24:03,280
Speaker 1: an third. And I gotta be honest, Lakers have Lebron

440
00:24:03,359 --> 00:24:05,280
Speaker 1: a d n. We'll see who shows up on every

441
00:24:05,320 --> 00:24:08,760
Speaker 1: other night. You've given me Aaron Gordon. I know Aaron

442
00:24:08,800 --> 00:24:11,119
Speaker 1: Gordon has never been an All Star, Okay, I know

443
00:24:11,240 --> 00:24:13,040
Speaker 1: he's just a dunker and a guy who can make

444
00:24:13,240 --> 00:24:16,800
Speaker 1: some threes. I just think his talent on the wing

445
00:24:17,000 --> 00:24:20,120
Speaker 1: is exactly what they've been missing. They had Jeremy Grant

446
00:24:20,240 --> 00:24:24,159
Speaker 1: last year, who was able to do well enough defensively

447
00:24:24,200 --> 00:24:26,600
Speaker 1: on Kawai and Paul George. Then they lost him to

448
00:24:26,640 --> 00:24:28,600
Speaker 1: the Pistons. By the way, Jeremy Grants putting up some

449
00:24:28,680 --> 00:24:33,680
Speaker 1: big stats with the Pistons, and now Aaron Gordon is

450
00:24:33,800 --> 00:24:38,600
Speaker 1: that wing who can body at least physically Lebron Kauai

451
00:24:39,640 --> 00:24:41,760
Speaker 1: Paul George, and they already beat the Clippers. I think

452
00:24:41,800 --> 00:24:45,520
Speaker 1: the Clippers are scared. They see fear when they look

453
00:24:45,560 --> 00:24:47,720
Speaker 1: at the Denver and said, damn, we're scared of these guys.

454
00:24:48,240 --> 00:24:51,000
Speaker 1: I think the Clippers are fearful of the Denver Nuggets.

455
00:24:51,040 --> 00:24:54,359
Speaker 1: And I'm telling you, is Denver nuggest team. If Lebron

456
00:24:54,440 --> 00:24:57,240
Speaker 1: and a d are not healthy, you could pencil in

457
00:24:57,320 --> 00:25:00,480
Speaker 1: the Denver Nuggets into the NBA Finals, go and lock

458
00:25:00,560 --> 00:25:03,720
Speaker 1: it up. I'm looking for odds on the Nuggets futures

459
00:25:03,760 --> 00:25:08,680
Speaker 1: when they resurface, because you know, I like their coach, Um.

460
00:25:09,040 --> 00:25:12,359
Speaker 1: I really like Jamal Murray. I know losing Gary Harris

461
00:25:12,400 --> 00:25:15,359
Speaker 1: wasn't great. Shooting can be an issue. Monty Morris is

462
00:25:15,440 --> 00:25:20,119
Speaker 1: a nice uh a little point guard. I I'm bullish

463
00:25:20,160 --> 00:25:25,320
Speaker 1: on the Nuggets fight me. Uh No. I agree that

464
00:25:25,400 --> 00:25:29,000
Speaker 1: they have the deepest team because they have guys that

465
00:25:30,440 --> 00:25:31,760
Speaker 1: have a lot of time they can't get minutes for,

466
00:25:31,880 --> 00:25:34,080
Speaker 1: Like I think bow Bowl has potential to be a

467
00:25:34,200 --> 00:25:36,760
Speaker 1: rotational guy. They just they can't even find a minute

468
00:25:36,800 --> 00:25:39,600
Speaker 1: to even flash anything. Um. The only thing I will

469
00:25:39,600 --> 00:25:42,399
Speaker 1: say is as good as their top three is, and

470
00:25:42,480 --> 00:25:44,720
Speaker 1: either top four if you include Porter Jr. I would

471
00:25:44,800 --> 00:25:49,280
Speaker 1: not put their best three over Lebron, A D and whoever,

472
00:25:49,480 --> 00:25:51,879
Speaker 1: just because I think those two who I don't care

473
00:25:51,920 --> 00:25:53,800
Speaker 1: whoever the third guy is, that those Lebron and A

474
00:25:53,920 --> 00:25:58,240
Speaker 1: D are so much head and shoulders better than Yoki Murray,

475
00:25:58,640 --> 00:26:02,160
Speaker 1: Yoget Murray together that whoever the third guy is, it's

476
00:26:02,200 --> 00:26:04,840
Speaker 1: it's a really tough hill to climb. Yokichi is great,

477
00:26:04,960 --> 00:26:09,720
Speaker 1: but Murray is not what you think that he might be.

478
00:26:09,880 --> 00:26:13,359
Speaker 1: I I feel like his his bubble performance was great.

479
00:26:13,400 --> 00:26:15,240
Speaker 1: He was great in the bubble. But other than that,

480
00:26:15,520 --> 00:26:18,960
Speaker 1: you know, Jamal Murray is he's fine, but he's not

481
00:26:19,240 --> 00:26:23,200
Speaker 1: at He's fine. He's not in on threes against the

482
00:26:23,200 --> 00:26:28,320
Speaker 1: Clippers average twenty two a game. Again, he had playoff

483
00:26:28,400 --> 00:26:31,440
Speaker 1: games they were down. Uh oh no, I'm sorry. It

484
00:26:31,560 --> 00:26:34,639
Speaker 1: was it was m give me anything that bubble he

485
00:26:34,760 --> 00:26:38,600
Speaker 1: had fifty anything other than the bubble because a lot

486
00:26:38,640 --> 00:26:40,920
Speaker 1: of guys shot k C. P was lights out in

487
00:26:40,960 --> 00:26:42,960
Speaker 1: the bubble and we saw what he looks like. You

488
00:26:43,000 --> 00:26:46,160
Speaker 1: know when there's an actual arena and sound and maybe

489
00:26:46,200 --> 00:26:47,959
Speaker 1: some fans in the building. Well, I guess the only

490
00:26:48,000 --> 00:26:50,639
Speaker 1: difference there is KCP is like a third or fourth option. Okay,

491
00:26:50,960 --> 00:26:54,159
Speaker 1: and Murray had to carry them. Murray had to carry them.

492
00:26:55,480 --> 00:26:58,280
Speaker 1: He's fine, But if you actually I'm just looking at

493
00:26:58,320 --> 00:27:01,760
Speaker 1: the stats. Rob career high from the field this year,

494
00:27:02,000 --> 00:27:06,640
Speaker 1: career best from three this year, one points per game,

495
00:27:06,800 --> 00:27:10,000
Speaker 1: career high, four point eight assists tied for his best,

496
00:27:10,359 --> 00:27:13,200
Speaker 1: four point rebounds tied for his best. Like Jamal Murray's

497
00:27:13,200 --> 00:27:14,879
Speaker 1: having a monster, How the hell was he not an

498
00:27:14,880 --> 00:27:20,480
Speaker 1: All Star because their team only recently to the top six. Yeah,

499
00:27:20,480 --> 00:27:22,440
Speaker 1: they were struggling out of the gate, right right, right, Okay,

500
00:27:22,680 --> 00:27:24,840
Speaker 1: so we agreed Denver doug as of right now, give

501
00:27:24,880 --> 00:27:28,399
Speaker 1: me your final four in the West. Well, the problem is,

502
00:27:28,400 --> 00:27:30,200
Speaker 1: I don't know if Lebron and eight are healthy, because,

503
00:27:30,280 --> 00:27:33,080
Speaker 1: like I said, if they say everybody's healthy, everybody's healthy

504
00:27:33,119 --> 00:27:40,240
Speaker 1: throughout the league. Okay. In the West, Lakers, uh, Jazz

505
00:27:41,359 --> 00:27:45,440
Speaker 1: Lakers versus the Jazz four? Final four meaning to find

506
00:27:45,560 --> 00:27:49,119
Speaker 1: the conference championship games in the league. Yeah, in the

507
00:27:49,200 --> 00:27:59,320
Speaker 1: league okay, Uh, Lakers, Nuggets, Nets Sixers. Oh, you're really

508
00:27:59,320 --> 00:28:02,480
Speaker 1: stuck on the six. Here's okay, huh, I need to

509
00:28:02,520 --> 00:28:04,359
Speaker 1: see what they look like with them be back East

510
00:28:04,480 --> 00:28:06,600
Speaker 1: is a little tougher for me. I'm still you know,

511
00:28:06,960 --> 00:28:09,000
Speaker 1: I might have some futures bets on the Celtics that

512
00:28:09,160 --> 00:28:11,240
Speaker 1: have be tied to them. It's like an albatross around

513
00:28:11,280 --> 00:28:14,440
Speaker 1: my neck. I will go over reaction and say the

514
00:28:14,480 --> 00:28:18,920
Speaker 1: Miami Heat against the Brooklyn Nets in the Eastern Conference Finals.

515
00:28:18,920 --> 00:28:22,600
Speaker 1: All right, without further ado, let's get to our guests.

516
00:28:22,600 --> 00:28:28,159
Speaker 1: You're gonna love this guy, Colgate College student Simon Gersberg.

517
00:28:29,440 --> 00:28:32,359
Speaker 1: Fox Sports Radio has the best sports talk lineup in

518
00:28:32,400 --> 00:28:35,359
Speaker 1: the nation. Catch all of our shows at Fox sports

519
00:28:35,480 --> 00:28:38,600
Speaker 1: Radio dot com and within the I Heart Radio app

520
00:28:38,640 --> 00:28:45,280
Speaker 1: search f s R to listen live. Jason likes to

521
00:28:45,400 --> 00:28:48,440
Speaker 1: think he knows everything when it comes to sports. I

522
00:28:48,560 --> 00:28:51,600
Speaker 1: know what sports dance want, But for everything he doesn't.

523
00:28:51,840 --> 00:28:54,840
Speaker 1: He knows a guy who does. Let's just say I

524
00:28:54,960 --> 00:28:58,440
Speaker 1: know a guy who knows the guy knows another guy.

525
00:28:58,760 --> 00:29:01,080
Speaker 1: All right, let's welcome into stray fire. You know, we

526
00:29:01,160 --> 00:29:03,720
Speaker 1: try to do it differently around here. Bring in some

527
00:29:04,200 --> 00:29:06,880
Speaker 1: new voices, guys you may or may not have heard of.

528
00:29:07,040 --> 00:29:13,240
Speaker 1: This kid started this analytics based I don't know algorithm, Uh,

529
00:29:13,360 --> 00:29:16,800
Speaker 1: if you will, and it's pretty pretty dead on in

530
00:29:16,840 --> 00:29:19,080
Speaker 1: the n c A Tournament. I'm sure he's gonna do

531
00:29:19,120 --> 00:29:22,640
Speaker 1: it for the NBA playoffs, hopefully. Let's welcome in Simon Gerzberg,

532
00:29:23,120 --> 00:29:26,760
Speaker 1: a junior at Colgate. Simon, how are you, man, I'm

533
00:29:26,800 --> 00:29:29,040
Speaker 1: doing great. Thank you for having me. I'm decided to

534
00:29:29,640 --> 00:29:32,920
Speaker 1: share some knowledge on all things college basketball. Yes. So

535
00:29:33,040 --> 00:29:34,560
Speaker 1: a lot of the people who tune in to the podcast,

536
00:29:34,600 --> 00:29:37,000
Speaker 1: they're like, oh, I know Brian Winhorst, I know this

537
00:29:37,200 --> 00:29:39,640
Speaker 1: media member from NFL Network and now here. It is

538
00:29:39,680 --> 00:29:42,800
Speaker 1: like a college kid. But I had noticed you were

539
00:29:42,800 --> 00:29:45,080
Speaker 1: putting out stuff during the college basketball season. I'm kind

540
00:29:45,080 --> 00:29:47,480
Speaker 1: of a geek about college hoops. I need to ask

541
00:29:47,560 --> 00:29:49,800
Speaker 1: how the hell you got started on this stuff because

542
00:29:49,920 --> 00:29:52,920
Speaker 1: it is um shot shot quality is, you know, high

543
00:29:53,000 --> 00:29:55,080
Speaker 1: end stuff that a lot of our audience is just

544
00:29:55,160 --> 00:29:58,000
Speaker 1: not gonna understand. Yes, so I'll try to make it

545
00:29:58,080 --> 00:30:01,000
Speaker 1: a simple simplified as possible. So basically, I worked for

546
00:30:01,040 --> 00:30:03,920
Speaker 1: the cold Gate basketball team freshman and sophomore year, calculating

547
00:30:03,920 --> 00:30:06,040
Speaker 1: the quality of shots by hand. So I was sitting

548
00:30:06,040 --> 00:30:08,120
Speaker 1: on the bench watching the games. I was bored of

549
00:30:08,200 --> 00:30:10,240
Speaker 1: cour as hell because I couldn't even watch the games.

550
00:30:10,280 --> 00:30:12,560
Speaker 1: I basically to think about all the stats while I'm watching,

551
00:30:13,120 --> 00:30:15,320
Speaker 1: very tedious, but not in this process. I'd be like, okay,

552
00:30:15,400 --> 00:30:18,400
Speaker 1: that's at shot when my point guard goes off the

553
00:30:18,440 --> 00:30:21,000
Speaker 1: jibble here, that's a fifty two shot, and basically just

554
00:30:21,080 --> 00:30:23,680
Speaker 1: spinning out all these numbers onto a clipboard during the game.

555
00:30:23,760 --> 00:30:27,360
Speaker 1: And basically my solution was, if I could automate this,

556
00:30:28,000 --> 00:30:30,040
Speaker 1: I can actually pay attention to the gold Get games

557
00:30:30,080 --> 00:30:33,320
Speaker 1: and actually enjoy watching them like once again. So once

558
00:30:33,360 --> 00:30:35,760
Speaker 1: I was able to automate it for the cold Gate team, um,

559
00:30:36,160 --> 00:30:37,960
Speaker 1: it brought a lot of value to the team, and

560
00:30:38,280 --> 00:30:40,680
Speaker 1: I realized that because I have the ability to automate

561
00:30:40,760 --> 00:30:41,880
Speaker 1: for cold Gate, I could do it for all of

562
00:30:41,920 --> 00:30:44,560
Speaker 1: college basketball. So then during quarantine, obviously had a lot

563
00:30:44,600 --> 00:30:47,160
Speaker 1: of free time and I just started crunching all the

564
00:30:47,240 --> 00:30:50,400
Speaker 1: numbers for all the teams in college basketball. Wow, all right,

565
00:30:50,440 --> 00:30:53,320
Speaker 1: so did Cold Gate? Did the basketball team find you?

566
00:30:53,640 --> 00:30:55,520
Speaker 1: Or did you find them? Were you a big high

567
00:30:55,520 --> 00:30:58,800
Speaker 1: school basketball guy or just a numbers guy. I was

568
00:30:58,840 --> 00:31:00,480
Speaker 1: definitely more of a numbers because I was just always

569
00:31:00,520 --> 00:31:05,040
Speaker 1: interested in how stacks led to certain competitive advantages and

570
00:31:05,120 --> 00:31:07,000
Speaker 1: other sports, like I had done a lot of satistics

571
00:31:07,080 --> 00:31:10,760
Speaker 1: or baseball. I worked on internships senior year for Sports Illustrated,

572
00:31:11,320 --> 00:31:14,120
Speaker 1: and then when I got to Coldgate, I just got

573
00:31:14,200 --> 00:31:15,560
Speaker 1: lucky enough that I matched up with one of the

574
00:31:15,600 --> 00:31:18,040
Speaker 1: coaches who was just very analytically minded as well, and

575
00:31:18,160 --> 00:31:21,480
Speaker 1: we just saw it. I obviously, Okay, So when you

576
00:31:21,720 --> 00:31:24,280
Speaker 1: start crunching these numbers and you go to the coaches

577
00:31:24,320 --> 00:31:26,640
Speaker 1: with it, what is their reaction? Because I I would

578
00:31:26,640 --> 00:31:29,280
Speaker 1: assume there's still a massive divide among the old school

579
00:31:29,360 --> 00:31:31,960
Speaker 1: coaches who are like, oh man, what is this? What

580
00:31:32,000 --> 00:31:33,800
Speaker 1: does that come on? Don't give me this, We need

581
00:31:33,840 --> 00:31:36,440
Speaker 1: to really pick and roll or whatever. I'm curious what

582
00:31:36,600 --> 00:31:39,160
Speaker 1: the hurdles you had when you approach to coaches with

583
00:31:39,240 --> 00:31:41,720
Speaker 1: this stuff. So I actually enjoyed talking more to the

584
00:31:41,800 --> 00:31:44,720
Speaker 1: coaches that are more old school because the way I

585
00:31:44,840 --> 00:31:47,880
Speaker 1: frame shot quality, it's it's not as simple as like, oh,

586
00:31:47,960 --> 00:31:49,680
Speaker 1: if you take a shot, if you take a layup,

587
00:31:49,800 --> 00:31:51,680
Speaker 1: or if you take a three, it's a high quality shot.

588
00:31:51,760 --> 00:31:54,480
Speaker 1: It's more about the possession quality. So there are actually

589
00:31:54,520 --> 00:31:57,440
Speaker 1: opportunities where you could take terrible shots in the paint.

590
00:31:57,480 --> 00:31:59,920
Speaker 1: But if you're a great offensive rebounding team like Texas

591
00:32:00,080 --> 00:32:03,240
Speaker 1: Tech like Tennessee. You could take bad shots and still

592
00:32:03,280 --> 00:32:06,200
Speaker 1: have high possession quality. And that's kind of where the

593
00:32:06,240 --> 00:32:09,840
Speaker 1: old school coaches enjoy it more or buy in more

594
00:32:09,960 --> 00:32:12,760
Speaker 1: because it's not just like oh, rim and three, Oh

595
00:32:12,840 --> 00:32:14,440
Speaker 1: that's all that matters, because I feel like that's what

596
00:32:14,560 --> 00:32:16,920
Speaker 1: the analytics say. But kind of what we're doing a

597
00:32:17,000 --> 00:32:20,040
Speaker 1: chocouality is really looking at the most valuable possessions. So

598
00:32:20,080 --> 00:32:21,920
Speaker 1: I kind of should change the name to possession quality

599
00:32:21,920 --> 00:32:25,120
Speaker 1: if I could. All Right, So, I mean, obviously we'll

600
00:32:25,120 --> 00:32:26,640
Speaker 1: get to the Sweet sixteen in a second, but I'm

601
00:32:26,680 --> 00:32:29,920
Speaker 1: curious when you're charting all these shots. Obviously you don't

602
00:32:29,920 --> 00:32:32,479
Speaker 1: have time to watch every college basketball game. Where are

603
00:32:32,880 --> 00:32:34,160
Speaker 1: I mean, do you Maybe you don't want to reveal

604
00:32:34,200 --> 00:32:36,120
Speaker 1: your secrets, but how are you able to get where

605
00:32:36,200 --> 00:32:39,120
Speaker 1: all the shots are, whether they're off the dribble or what. Yeah,

606
00:32:39,120 --> 00:32:42,200
Speaker 1: So I just we basically have multiple different data sources

607
00:32:42,240 --> 00:32:44,880
Speaker 1: and then we combine all of them to find the

608
00:32:45,200 --> 00:32:48,080
Speaker 1: like extensive play by play data, and it's just automated

609
00:32:48,120 --> 00:32:49,760
Speaker 1: for all the games, so we really don't have to

610
00:32:50,240 --> 00:32:52,480
Speaker 1: I mean, obviously, it was really challenging to create the automation,

611
00:32:52,640 --> 00:32:55,040
Speaker 1: but um, it just works for all the games. I

612
00:32:55,320 --> 00:32:57,480
Speaker 1: think they spit out like three hours after every game.

613
00:32:57,920 --> 00:33:01,680
Speaker 1: So I give it again, go ahead. Um So, basically,

614
00:33:01,720 --> 00:33:04,720
Speaker 1: like for the Kansas USC game, that was the epitome

615
00:33:05,040 --> 00:33:08,280
Speaker 1: of a shock quality lucky loss for Kansas. So if

616
00:33:08,320 --> 00:33:12,040
Speaker 1: you watch the game, that's the funniest part. That's the

617
00:33:12,040 --> 00:33:14,120
Speaker 1: funniest part. I know. So they lost by thirty, but

618
00:33:14,200 --> 00:33:16,200
Speaker 1: if you look at the three point numbers, USC shot

619
00:33:16,240 --> 00:33:19,960
Speaker 1: six from three, Isaiah Mobli hit like four threes in

620
00:33:20,000 --> 00:33:22,960
Speaker 1: the first half, and I know, and I was getting

621
00:33:22,960 --> 00:33:25,240
Speaker 1: a lot of backlash on Twitter from this. And it's

622
00:33:25,240 --> 00:33:27,440
Speaker 1: funny because the Kansas beat writer was like trying to

623
00:33:27,520 --> 00:33:30,240
Speaker 1: like calm down all the Kansas, all the Kansas fans

624
00:33:30,320 --> 00:33:33,880
Speaker 1: because Kansas shot from three and USC shot sixty five.

625
00:33:34,000 --> 00:33:36,240
Speaker 1: On the long run, that's not going to consistently happen.

626
00:33:36,480 --> 00:33:38,600
Speaker 1: So as a coach, obviously it's one of Donna march mannis.

627
00:33:38,640 --> 00:33:40,360
Speaker 1: But as a coach, you have to put every game

628
00:33:40,480 --> 00:33:43,080
Speaker 1: to perspective and say, was that a lucky win, was

629
00:33:43,120 --> 00:33:45,240
Speaker 1: that an unlucky loss, or do we just get blown

630
00:33:45,240 --> 00:33:47,200
Speaker 1: out because we got crappy shots? And then it got

631
00:33:47,280 --> 00:33:50,760
Speaker 1: a very important justification for coaches to understand after the game.

632
00:33:51,120 --> 00:33:54,560
Speaker 1: So let's let's take that USC beats Kansas by thirty four,

633
00:33:54,760 --> 00:33:56,720
Speaker 1: and I go to the part score, and then I

634
00:33:56,800 --> 00:33:58,880
Speaker 1: go to the play by play and they show where

635
00:33:58,920 --> 00:34:01,160
Speaker 1: all the shots are from. So I'm assuming you guys

636
00:34:01,240 --> 00:34:04,520
Speaker 1: just scraped that data, right, put it into your algorithm

637
00:34:04,600 --> 00:34:07,600
Speaker 1: and it spits out information. Yes, and it's based off

638
00:34:07,720 --> 00:34:09,960
Speaker 1: each players that most part, it's based off each player's

639
00:34:10,040 --> 00:34:13,080
Speaker 1: individual numbers. So when Evan Mobili is on the left

640
00:34:13,120 --> 00:34:16,799
Speaker 1: block and he shoots a jump hook, that's an expercent shot.

641
00:34:17,120 --> 00:34:19,520
Speaker 1: When Isaiah Mobile is picking a catcher shoot three has

642
00:34:19,560 --> 00:34:22,280
Speaker 1: an expercent shot. So it's all based off each player's

643
00:34:22,360 --> 00:34:25,200
Speaker 1: individual numbers, which obviously is the most important part of

644
00:34:25,239 --> 00:34:28,160
Speaker 1: the algorithm because every player is an individual skill. I'm

645
00:34:28,239 --> 00:34:30,080
Speaker 1: sure there are people listening to this being like, man,

646
00:34:30,160 --> 00:34:32,400
Speaker 1: that's just I I don't care, that's too nerdy. But

647
00:34:32,600 --> 00:34:36,200
Speaker 1: I don't think simon they understand that this is where

648
00:34:36,280 --> 00:34:39,200
Speaker 1: basketball is headed, Like this is the future, if not

649
00:34:39,320 --> 00:34:42,800
Speaker 1: already the present. I mean, we've seen Darryl Morey and

650
00:34:43,160 --> 00:34:46,160
Speaker 1: a lot of these analytics based NBA teams have I

651
00:34:46,200 --> 00:34:47,719
Speaker 1: don't want to say flip the script. But you know,

652
00:34:48,120 --> 00:34:51,360
Speaker 1: Golden State Warriors, nobody had them doing any of the

653
00:34:51,440 --> 00:34:54,160
Speaker 1: damnage like this when they drafted Curry and Clay and

654
00:34:54,239 --> 00:34:57,560
Speaker 1: Draymond and they were pretty much at the forefront. Would

655
00:34:57,560 --> 00:35:01,520
Speaker 1: you say of this analytic revolution or yeah, no, for sure.

656
00:35:01,560 --> 00:35:03,920
Speaker 1: I mean definitely the Warriors. I think the Rockets are

657
00:35:03,960 --> 00:35:06,440
Speaker 1: just the epitome an example, just like taking it to

658
00:35:06,520 --> 00:35:09,400
Speaker 1: the next level, just shooting like three second I was

659
00:35:09,440 --> 00:35:12,400
Speaker 1: in the saturation, but like just taking it overboard, like Okay,

660
00:35:12,480 --> 00:35:14,520
Speaker 1: we know our most efficient plays a harden Isa, so

661
00:35:14,560 --> 00:35:16,560
Speaker 1: we're just gonna around the harden Is every single time

662
00:35:16,600 --> 00:35:20,400
Speaker 1: we can. Um. Yeah, I mean, it's obviously expanding, and

663
00:35:20,480 --> 00:35:23,160
Speaker 1: I think it's interesting how far behind college basketball really

664
00:35:23,320 --> 00:35:25,879
Speaker 1: is right now to the NBA. So it is kind

665
00:35:25,920 --> 00:35:29,000
Speaker 1: of a it's just a market inefficiency, it kind of

666
00:35:29,040 --> 00:35:31,160
Speaker 1: seems like at this point of time, and obviously people

667
00:35:31,200 --> 00:35:33,080
Speaker 1: like kempom have been around for years and years, but

668
00:35:33,160 --> 00:35:36,719
Speaker 1: hopefully expanding. I mean, if you can profit off the

669
00:35:36,800 --> 00:35:39,880
Speaker 1: market inefficiency while there's a window, that's the move. So

670
00:35:40,080 --> 00:35:42,080
Speaker 1: let's look at this week sixteen games. Let's stick with

671
00:35:42,200 --> 00:35:46,480
Speaker 1: usc UM versus Oregon in a way, you know, and

672
00:35:46,560 --> 00:35:48,840
Speaker 1: I watched that game USC because I had USC. I

673
00:35:48,920 --> 00:35:50,920
Speaker 1: was like, this is easy, this is a layoup and

674
00:35:51,480 --> 00:35:53,560
Speaker 1: Isaiah Mobile hits four or five threes. And then I

675
00:35:53,640 --> 00:35:56,640
Speaker 1: think I saw the stat that during the regular season

676
00:35:56,680 --> 00:35:59,040
Speaker 1: he had made like eleven three pointers or something insane,

677
00:35:59,640 --> 00:36:02,239
Speaker 1: and here he is splashing all these threes. You're like, wait,

678
00:36:02,520 --> 00:36:05,480
Speaker 1: what the hell's going on here? And I do wonder

679
00:36:05,640 --> 00:36:08,680
Speaker 1: do you see an edge and advantage in Oregon? Here

680
00:36:08,719 --> 00:36:11,520
Speaker 1: the line has moved towards USC. I think an open pick,

681
00:36:11,600 --> 00:36:13,120
Speaker 1: and now it went out to like one or two,

682
00:36:13,320 --> 00:36:15,480
Speaker 1: might might be two and a half. So this is

683
00:36:15,560 --> 00:36:18,760
Speaker 1: the interesting thing with Shakray. Obviously, the way we value

684
00:36:18,800 --> 00:36:21,399
Speaker 1: games is based off the spelling of the three point

685
00:36:21,520 --> 00:36:24,080
Speaker 1: luck and really just value the objective shots that each

686
00:36:24,120 --> 00:36:27,000
Speaker 1: team is getting. So Oregon also in the Iowa games,

687
00:36:27,040 --> 00:36:30,000
Speaker 1: despite winning by a lot, they overplayed, They played over

688
00:36:30,040 --> 00:36:33,320
Speaker 1: their heads compared to their expectation. So it's kind of interesting.

689
00:36:33,440 --> 00:36:36,360
Speaker 1: Both of these teams might be slightly overvalued by Vegas.

690
00:36:36,640 --> 00:36:39,640
Speaker 1: But you're right, I do lean towards Oregon. We actually

691
00:36:39,680 --> 00:36:42,480
Speaker 1: have the game at sixty nine sixty nine, which I guess,

692
00:36:43,000 --> 00:36:45,239
Speaker 1: so basically I'll pick them um and what's the spread

693
00:36:45,320 --> 00:36:48,239
Speaker 1: right now? Three for USA, USC has favored, but I

694
00:36:48,280 --> 00:36:50,560
Speaker 1: mean they beat him during the regular season. And I

695
00:36:50,640 --> 00:36:52,600
Speaker 1: mean again, I know you're looking at the numbers, but

696
00:36:53,239 --> 00:36:56,120
Speaker 1: when you look at that the box score from earlier

697
00:36:56,200 --> 00:37:00,239
Speaker 1: this season, and USC crushed him without Isaiah Mobile and

698
00:37:00,360 --> 00:37:03,040
Speaker 1: you factor in, Okay, beating Iowa was one thing in

699
00:37:03,040 --> 00:37:06,560
Speaker 1: the middle of the day. Beating Kansas in prime time,

700
00:37:07,120 --> 00:37:09,160
Speaker 1: it feels like the casual better is going to gravitate

701
00:37:09,160 --> 00:37:12,160
Speaker 1: towards USC. Right, Yes, you would think so, especially after

702
00:37:12,239 --> 00:37:15,000
Speaker 1: a thirty point when just pure domination over a really

703
00:37:15,040 --> 00:37:18,000
Speaker 1: good Kansas team. But I means similar to also Oregon.

704
00:37:18,000 --> 00:37:20,240
Speaker 1: I mean, Oregon did dominate a two seed in Iowa

705
00:37:20,360 --> 00:37:23,520
Speaker 1: that I thought it was really really good entering majority

706
00:37:23,560 --> 00:37:27,880
Speaker 1: obviously didn't pan out. But yeah, so so you with

707
00:37:28,040 --> 00:37:29,800
Speaker 1: it at sixty nine, all, I guess you have a

708
00:37:29,920 --> 00:37:32,960
Speaker 1: slight edge to Oregon. Correct, totally, So maybe maybe a

709
00:37:32,960 --> 00:37:36,279
Speaker 1: little juice on the ot uh, I don't know. Wow, yeah,

710
00:37:36,600 --> 00:37:39,440
Speaker 1: that's a risky play, but okay, sure, all right, let's

711
00:37:39,480 --> 00:37:43,000
Speaker 1: look at Gonzaga Creton. Now again, this is another interesting one.

712
00:37:43,080 --> 00:37:46,480
Speaker 1: Like Creighton. Uh, you know they got lucky to beat

713
00:37:46,560 --> 00:37:48,800
Speaker 1: U C. S B. I had the U C. S

714
00:37:48,880 --> 00:37:50,719
Speaker 1: B guys and they miss a layup with like two

715
00:37:50,760 --> 00:37:53,520
Speaker 1: seconds left, and then they face a tired Ohio team

716
00:37:53,520 --> 00:37:56,120
Speaker 1: off to win over Virginia, and you know, Creighton's third

717
00:37:56,239 --> 00:37:58,960
Speaker 1: I think thirteen and a half maybe, and we have

718
00:37:59,080 --> 00:38:02,040
Speaker 1: Gonzaga a jugger. Know what do the numbers say according

719
00:38:02,040 --> 00:38:04,600
Speaker 1: to shot quality? So this is really interesting. Think Creating

720
00:38:04,640 --> 00:38:06,799
Speaker 1: was one of the most interesting shot quality teams over

721
00:38:06,840 --> 00:38:08,839
Speaker 1: the course of this season. So basically through the first

722
00:38:08,880 --> 00:38:11,799
Speaker 1: twenty games they were actually consistently a top ten team

723
00:38:11,840 --> 00:38:14,840
Speaker 1: on the site, just getting great shots and just putting

724
00:38:14,880 --> 00:38:18,480
Speaker 1: together great overall quality of looks on the offensive defensive end.

725
00:38:19,080 --> 00:38:22,279
Speaker 1: But the last five games they've really been tanking. So

726
00:38:22,640 --> 00:38:25,440
Speaker 1: it's kind of interesting because like if they could somehow

727
00:38:25,520 --> 00:38:29,400
Speaker 1: revert back to their previous performance. The spread basically I

728
00:38:29,560 --> 00:38:32,359
Speaker 1: have in the game. It values more recent games more

729
00:38:32,520 --> 00:38:36,160
Speaker 1: in the algorithm, but it obviously values previous play also,

730
00:38:36,600 --> 00:38:39,840
Speaker 1: So the spread has created losing by nine to Gonzaga

731
00:38:40,560 --> 00:38:44,160
Speaker 1: seven before, so I guess it's taking created on the spread. Yeah,

732
00:38:44,320 --> 00:38:46,880
Speaker 1: why do you and actually bigger edge there than the

733
00:38:47,360 --> 00:38:49,480
Speaker 1: Oregon USC game. But I guess my question would be,

734
00:38:49,600 --> 00:38:51,680
Speaker 1: what what do you think happened in the last five games.

735
00:38:52,000 --> 00:38:54,520
Speaker 1: Did that line up with the coach getting suspended for

736
00:38:54,640 --> 00:38:57,160
Speaker 1: his comment or whatever? It could be something with that

737
00:38:57,280 --> 00:39:01,040
Speaker 1: with coach mac Um. I think it's interesting. So a

738
00:39:01,120 --> 00:39:03,240
Speaker 1: lot of the quality of shot, like when a team

739
00:39:03,400 --> 00:39:05,319
Speaker 1: gets worst quality shots throughout the season. It's a lot

740
00:39:05,360 --> 00:39:07,120
Speaker 1: of it us to do with turnovers because obviously a

741
00:39:07,239 --> 00:39:09,480
Speaker 1: turnovers the worst quality looking and get so if a

742
00:39:09,520 --> 00:39:12,280
Speaker 1: team becomes more turnover prone, they're getting worse offensive quality

743
00:39:12,320 --> 00:39:15,320
Speaker 1: it looks. But in terms of like actual shot attempts,

744
00:39:15,480 --> 00:39:17,200
Speaker 1: I don't think that's been changing as much. I think

745
00:39:17,239 --> 00:39:19,120
Speaker 1: they're just turning it over a little bit more recently.

746
00:39:19,280 --> 00:39:23,120
Speaker 1: Huh okay, interesting. I kind of like Creton to keep

747
00:39:23,160 --> 00:39:27,000
Speaker 1: that one close enough. Um in that one again you're

748
00:39:27,040 --> 00:39:31,040
Speaker 1: looking at I'm curious with because you know, you want

749
00:39:31,040 --> 00:39:32,759
Speaker 1: to look at the matchups a little bit, and they

750
00:39:32,800 --> 00:39:36,840
Speaker 1: have some good players, right, And how do you weigh

751
00:39:37,040 --> 00:39:39,400
Speaker 1: matchups versus what the numbers say because some you know,

752
00:39:39,480 --> 00:39:43,239
Speaker 1: the eye test, it matters simon obviously the tests and

753
00:39:43,440 --> 00:39:46,759
Speaker 1: and you know, Gonzaga being undefeated, five extra days to

754
00:39:46,800 --> 00:39:50,480
Speaker 1: think about being undefeated. Um So, so what do you

755
00:39:50,560 --> 00:39:53,040
Speaker 1: come in on this? Ultimately, obviously a stats guy, but

756
00:39:53,080 --> 00:39:55,640
Speaker 1: I'm in on the eye test as well. Um it's

757
00:39:55,680 --> 00:39:57,960
Speaker 1: for creating. I mean, I think they're so interesting because

758
00:39:58,040 --> 00:39:59,800
Speaker 1: they can get hot from through Like they're one of

759
00:39:59,800 --> 00:40:01,880
Speaker 1: those teams that like could if you look at the

760
00:40:01,880 --> 00:40:03,160
Speaker 1: box too at the end of the game and they're

761
00:40:03,160 --> 00:40:07,040
Speaker 1: shooting from three, this could be a one two point

762
00:40:07,120 --> 00:40:09,800
Speaker 1: game like that, It is conceivable that they keep it

763
00:40:09,880 --> 00:40:12,160
Speaker 1: close if they just get hot from three and they

764
00:40:12,160 --> 00:40:14,919
Speaker 1: shoot so many of them. With Mitchell Balach, Marcus Zigarowski,

765
00:40:15,040 --> 00:40:18,400
Speaker 1: Damien Jefferson, they really do have the shooters. And I

766
00:40:18,480 --> 00:40:20,600
Speaker 1: think with matchups, I think that's just where you have

767
00:40:20,800 --> 00:40:23,279
Speaker 1: to that's just where like the individual handicappers will have

768
00:40:23,360 --> 00:40:26,560
Speaker 1: an advantage over just an algorithm because like there's a

769
00:40:26,640 --> 00:40:29,359
Speaker 1: random example, but like when Iowa plays Michigan, Like if

770
00:40:29,400 --> 00:40:30,920
Speaker 1: you have someone on Hunter Dickens, if you coul put

771
00:40:30,960 --> 00:40:33,520
Speaker 1: Hunter Dickenson on Luca Garza, that's probably the worst possible

772
00:40:33,560 --> 00:40:35,600
Speaker 1: matchup you could have. So obviously that's going to affect

773
00:40:35,640 --> 00:40:38,920
Speaker 1: the line and be more impactful than whatever the algorithm

774
00:40:39,000 --> 00:40:42,160
Speaker 1: that's say. So I'm looking at can obviously, I'm sure

775
00:40:42,160 --> 00:40:44,120
Speaker 1: you look at Ken Palm and to Vic and all

776
00:40:44,160 --> 00:40:46,879
Speaker 1: these sites. Ken Palm has Gonzaga as the seventh best

777
00:40:46,920 --> 00:40:50,920
Speaker 1: defense in America. However, we know that their conference, the

778
00:40:51,080 --> 00:40:54,399
Speaker 1: WCC was awful this year, right would you agree or yes?

779
00:40:54,520 --> 00:40:57,320
Speaker 1: They were not great? How much can we put it?

780
00:40:57,320 --> 00:41:02,000
Speaker 1: I mean Iowa put up on Gonzaga, UM West Virginia

781
00:41:02,120 --> 00:41:05,880
Speaker 1: eight two. Like teams can score pretty easily on Gonzaga,

782
00:41:05,960 --> 00:41:08,239
Speaker 1: So I like great in here, I don't know where

783
00:41:08,239 --> 00:41:10,720
Speaker 1: are you? So that's really interesting. You mentioned the defense

784
00:41:10,760 --> 00:41:13,240
Speaker 1: of Gonzaga. So basically, based off the quality of shots

785
00:41:13,320 --> 00:41:15,880
Speaker 1: that Gonzaga has let up this season, they're ranked on

786
00:41:15,960 --> 00:41:20,439
Speaker 1: shock quality as the best defense, which definitely is a big,

787
00:41:21,040 --> 00:41:23,600
Speaker 1: big gap compared to kempom. And the difference is like

788
00:41:23,680 --> 00:41:26,920
Speaker 1: what I've noticed, a differences from kem pom to shock quality.

789
00:41:26,920 --> 00:41:28,560
Speaker 1: I've done a lot of research on this obviously, because

790
00:41:28,680 --> 00:41:31,359
Speaker 1: kempom sides like the greatest thing of all time. Um,

791
00:41:31,920 --> 00:41:34,279
Speaker 1: it has to do with three point luck. So I

792
00:41:34,360 --> 00:41:36,600
Speaker 1: can break this down. But basically what three point luck is,

793
00:41:36,719 --> 00:41:41,320
Speaker 1: it's just let's say, um Isaiah Bold is actually a

794
00:41:41,320 --> 00:41:43,800
Speaker 1: great example for that Kansas game. So basically it's not

795
00:41:43,920 --> 00:41:47,920
Speaker 1: like Kansas's defense played that poorly to allow USC to

796
00:41:47,960 --> 00:41:50,839
Speaker 1: shoot six from three, but rather it was just they

797
00:41:50,920 --> 00:41:53,040
Speaker 1: just had a crazy three point shooting games. So that

798
00:41:53,040 --> 00:41:56,680
Speaker 1: would be a perfect example of Kansas's defense and Camps

799
00:41:56,920 --> 00:42:00,359
Speaker 1: defense performing unlucky to the three point nine, which really

800
00:42:00,440 --> 00:42:03,279
Speaker 1: isn't fair for the Kansas defense down the road in

801
00:42:03,440 --> 00:42:06,440
Speaker 1: terms of Vegas's expectation of that. So that's where Gonzaga's

802
00:42:06,480 --> 00:42:09,400
Speaker 1: defense might be overvalued, I think from a Vegas perspective

803
00:42:09,440 --> 00:42:13,440
Speaker 1: of that. Interesting, Yeah, you know, Gonzaga is gonna They're

804
00:42:13,440 --> 00:42:15,920
Speaker 1: gonna feel the weight and the pressure of being undefeated,

805
00:42:16,000 --> 00:42:18,400
Speaker 1: and what about the fact and again, I don't know

806
00:42:18,560 --> 00:42:21,840
Speaker 1: if you're factoring in the gym, like Crighton has played

807
00:42:21,880 --> 00:42:24,799
Speaker 1: in this gym before, because it is um. I guess

808
00:42:24,840 --> 00:42:30,319
Speaker 1: they're playing in Hinkel, is it? I'm not I'm not sure.

809
00:42:30,520 --> 00:42:32,640
Speaker 1: I'm not exactly sure which stadium they're playing in, but

810
00:42:32,719 --> 00:42:35,200
Speaker 1: it's one that they've played in before. Gonzagas doesn't obviously,

811
00:42:35,480 --> 00:42:37,440
Speaker 1: So I don't know if that factors. One last thing

812
00:42:37,480 --> 00:42:40,480
Speaker 1: on Gonzaga because they've had so many blowouts in Division.

813
00:42:40,680 --> 00:42:42,800
Speaker 1: Do you try to strip out the final five minutes

814
00:42:42,800 --> 00:42:45,200
Speaker 1: worth of shots and data or does that factory because

815
00:42:45,239 --> 00:42:47,359
Speaker 1: maybe the end of the bench guys aren't trying as

816
00:42:47,400 --> 00:42:49,840
Speaker 1: hard on D So that's actually something I have not

817
00:42:49,960 --> 00:42:51,880
Speaker 1: been able to do this season. But that's literally my

818
00:42:52,000 --> 00:42:53,640
Speaker 1: first goal for next season. I've got a bunch of

819
00:42:53,680 --> 00:42:56,840
Speaker 1: emails contracting out garbage time, So great idea, that's exactly

820
00:42:56,880 --> 00:42:59,320
Speaker 1: what I haven't had next season. So let me you

821
00:42:59,400 --> 00:43:01,840
Speaker 1: say you've got a bunch of emails. Now, again, I

822
00:43:01,880 --> 00:43:04,040
Speaker 1: don't know what you want to reveal, but who who

823
00:43:04,280 --> 00:43:06,640
Speaker 1: is reading shot quality? Because you know, I don't know

824
00:43:06,680 --> 00:43:08,400
Speaker 1: if it's a casual fan, it's probably a bunch of

825
00:43:08,520 --> 00:43:11,640
Speaker 1: degenerate gamblers. But I would assume simon that there are

826
00:43:11,719 --> 00:43:14,319
Speaker 1: some teams out there that are looking at what you're

827
00:43:14,360 --> 00:43:16,439
Speaker 1: doing and being like, we could really use his data.

828
00:43:16,520 --> 00:43:18,640
Speaker 1: He's just putting it out there for everybody. If we

829
00:43:18,840 --> 00:43:22,360
Speaker 1: had this just proprietary to us, all of a sudden,

830
00:43:22,400 --> 00:43:25,960
Speaker 1: we gain an edge. Have you had either college programs,

831
00:43:26,160 --> 00:43:27,920
Speaker 1: NBA any Have you had people reach out to you,

832
00:43:28,440 --> 00:43:31,960
Speaker 1: uh from sports leagues? Yes? So we have over thirty

833
00:43:32,280 --> 00:43:34,359
Speaker 1: n C Double A teams actually Crating is one of them. Um,

834
00:43:34,520 --> 00:43:36,480
Speaker 1: we have over thirty n double teams signed up for

835
00:43:36,560 --> 00:43:38,560
Speaker 1: this season, and we have a bunch of NBA teams

836
00:43:38,560 --> 00:43:41,480
Speaker 1: as well looking at NBA draft prospects, because it's obviously

837
00:43:41,520 --> 00:43:44,720
Speaker 1: just a different it's a different analysis like analytics tool

838
00:43:44,800 --> 00:43:50,600
Speaker 1: to evaluate passing ability. Um, obviously like the quality of

839
00:43:50,640 --> 00:43:52,959
Speaker 1: shots are getting. So I had a bunch of NBA

840
00:43:53,000 --> 00:43:55,120
Speaker 1: teams reach out to me right before the draft last year.

841
00:43:55,440 --> 00:43:57,840
Speaker 1: I'm recomnected. I mean, listen, I don't know if you

842
00:43:57,880 --> 00:43:59,399
Speaker 1: want to say the teams, but just talk me through

843
00:43:59,440 --> 00:44:01,400
Speaker 1: that process. And it's like you're in the middle of uh,

844
00:44:01,760 --> 00:44:04,520
Speaker 1: you know, intermoral basketball, and then you've got the bio

845
00:44:04,640 --> 00:44:06,680
Speaker 1: test the next day and you come home to an

846
00:44:06,760 --> 00:44:11,879
Speaker 1: email from you know, the GM, the Milwaukee Bucks, no great,

847
00:44:11,920 --> 00:44:14,480
Speaker 1: great ones. So basically I'm at I'm coming home from

848
00:44:14,520 --> 00:44:16,400
Speaker 1: my dorm and I get an email from David Griffin

849
00:44:16,440 --> 00:44:19,560
Speaker 1: pop up on my on my computer. Definitely surreal feeling

850
00:44:19,680 --> 00:44:22,080
Speaker 1: to see something like that. Obviously a huge fan of

851
00:44:22,160 --> 00:44:27,239
Speaker 1: David Kurfin's from Caps days and Pelicans. Pretty crazy to see. Um. Well, yeah,

852
00:44:27,239 --> 00:44:29,480
Speaker 1: hopefully I'll reconnect with them before the draft and the

853
00:44:29,520 --> 00:44:32,920
Speaker 1: other teams as well. And so I just I do wonder,

854
00:44:33,520 --> 00:44:36,200
Speaker 1: you know, how do you make the decision whether you

855
00:44:36,360 --> 00:44:38,480
Speaker 1: wanna I mean, have you had people offer to buy this.

856
00:44:39,520 --> 00:44:42,200
Speaker 1: I am not, but obviously I just want to keep

857
00:44:42,200 --> 00:44:43,719
Speaker 1: building it out as much as I can. I mean,

858
00:44:43,760 --> 00:44:47,000
Speaker 1: I am just like a student act Colgate. I still

859
00:44:47,000 --> 00:44:50,960
Speaker 1: gotta focus on my philosophy. My philosophy essays, um, but

860
00:44:52,440 --> 00:44:54,640
Speaker 1: what is your major? By the way, I'm assuming something

861
00:44:54,719 --> 00:44:57,319
Speaker 1: in the math department? Yes, sack it psychon said, are

862
00:44:57,360 --> 00:45:00,680
Speaker 1: my two majors? Basically? Huh okay, all right, so let's

863
00:45:00,719 --> 00:45:02,759
Speaker 1: go to the rest of this week sixteen. I want

864
00:45:02,760 --> 00:45:05,399
Speaker 1: to just I'll pick out Houston Syracuse is a game

865
00:45:05,480 --> 00:45:09,680
Speaker 1: that jumps out. So Syracuse plays the two three zone. Obviously,

866
00:45:09,719 --> 00:45:13,560
Speaker 1: they've exceeded every expectation shooting the ball. But in addition,

867
00:45:14,360 --> 00:45:17,360
Speaker 1: if you look at the Houston offensive rebound numbers Syracuse,

868
00:45:17,719 --> 00:45:19,520
Speaker 1: we know it's tough to rebound from a two three zone.

869
00:45:19,600 --> 00:45:21,920
Speaker 1: This could be a problem for the quse the public

870
00:45:22,200 --> 00:45:24,960
Speaker 1: loading up on Syracuse here, that makes sense, and I

871
00:45:25,040 --> 00:45:26,800
Speaker 1: think that's exactly where you can get an advantage on

872
00:45:26,840 --> 00:45:30,080
Speaker 1: the public because of the last two games that Syracuse

873
00:45:30,120 --> 00:45:32,600
Speaker 1: has played based off the quality of shots they've got in.

874
00:45:32,760 --> 00:45:34,960
Speaker 1: So I actually predicted the chuck all the out of them,

875
00:45:35,040 --> 00:45:37,160
Speaker 1: had them to beat San Diego State in the game.

876
00:45:37,400 --> 00:45:39,759
Speaker 1: But based on the quality of shots San Diego State

877
00:45:39,840 --> 00:45:42,239
Speaker 1: got in the game, they were supposed to basically blow

878
00:45:42,280 --> 00:45:45,400
Speaker 1: them out. Even though they got blown out, hold on

879
00:45:45,440 --> 00:45:48,280
Speaker 1: who was supposed to win, San Diego State was expected

880
00:45:48,320 --> 00:45:50,640
Speaker 1: to win that game after the result, basically they just

881
00:45:50,880 --> 00:45:53,600
Speaker 1: missed every shot. Buddy Behind went seven for ten from three.

882
00:45:53,760 --> 00:45:56,279
Speaker 1: Like these things and these big differences in the gas

883
00:45:56,400 --> 00:45:59,239
Speaker 1: between quality of shots and results. A lot of it

884
00:45:59,320 --> 00:46:01,439
Speaker 1: has to do with red point luck and like, yeah,

885
00:46:01,719 --> 00:46:03,680
Speaker 1: like funny Behind going seven for ten from three, like

886
00:46:03,760 --> 00:46:06,719
Speaker 1: that's not expected on the long run, So that's kind

887
00:46:06,760 --> 00:46:11,720
Speaker 1: of hopefully they Syracuse fife from three and San Diego

888
00:46:11,760 --> 00:46:14,040
Speaker 1: State eleven for forty And I know eleven sounds like

889
00:46:14,040 --> 00:46:15,360
Speaker 1: a lot, but I feel like at one point it

890
00:46:15,440 --> 00:46:17,480
Speaker 1: was like four for twenty nine if I was if

891
00:46:17,560 --> 00:46:21,160
Speaker 1: memory serves, like, you miss all those threes. Yeah, when

892
00:46:21,200 --> 00:46:23,600
Speaker 1: when people say it's a make or mis league the NBA,

893
00:46:24,239 --> 00:46:26,840
Speaker 1: basically that was a make or miss game, right totally.

894
00:46:27,080 --> 00:46:29,680
Speaker 1: When you missed twenty nine threes in the game, Um,

895
00:46:30,000 --> 00:46:33,239
Speaker 1: that's just like obviously less than your average percentage, I mean,

896
00:46:33,880 --> 00:46:35,520
Speaker 1: is great shoots whatever. But what I was getting out

897
00:46:35,560 --> 00:46:38,440
Speaker 1: with Syracuse Basically the last two games have played slightly

898
00:46:38,520 --> 00:46:40,520
Speaker 1: over their heads, and I think this is a good

899
00:46:40,520 --> 00:46:43,200
Speaker 1: advantage where you could actually yet because I don't know

900
00:46:43,239 --> 00:46:45,600
Speaker 1: if it's Behi magic, I don't know. These are obviously

901
00:46:45,680 --> 00:46:48,440
Speaker 1: unquantified with forces whatever coach be Hive does in the

902
00:46:48,520 --> 00:46:51,439
Speaker 1: post tournament in March badness. But I think basically they're

903
00:46:51,440 --> 00:46:53,560
Speaker 1: shooting way over their heads and I would expect negative

904
00:46:53,600 --> 00:46:56,160
Speaker 1: progression if I but I do wonder, and again, I

905
00:46:56,200 --> 00:46:58,359
Speaker 1: don't know how you can factor in the zone here.

906
00:46:58,719 --> 00:47:01,560
Speaker 1: You know Houston has seen some zone this season obviously,

907
00:47:01,880 --> 00:47:04,680
Speaker 1: but the zone in the a A c ain't the

908
00:47:04,680 --> 00:47:08,120
Speaker 1: Syracuse matchup to three that always wins in the tournament.

909
00:47:08,200 --> 00:47:10,560
Speaker 1: And you know, I know Houston's number two in the

910
00:47:10,600 --> 00:47:13,160
Speaker 1: country offensive rebound, but they're not a great three point

911
00:47:13,200 --> 00:47:18,000
Speaker 1: shooting team. Again, how do you what do you do here? Simon?

912
00:47:18,080 --> 00:47:20,319
Speaker 1: What's what's the play? Because Ken Palm has it as

913
00:47:20,480 --> 00:47:22,719
Speaker 1: Houston by eight. The line I think was six or

914
00:47:22,760 --> 00:47:25,719
Speaker 1: six and a half because everybody's bet in Syracuse. So

915
00:47:25,960 --> 00:47:28,040
Speaker 1: the one stat that I think really sticks out for

916
00:47:28,120 --> 00:47:32,040
Speaker 1: me for Houston against circuses games, So Cycus one of

917
00:47:32,080 --> 00:47:35,680
Speaker 1: the highest deal rates in the country actually, but Houston

918
00:47:35,800 --> 00:47:37,760
Speaker 1: is one of the lowest turnover rates in the country,

919
00:47:37,840 --> 00:47:40,160
Speaker 1: so I think basically them not turning with the ball

920
00:47:40,239 --> 00:47:41,920
Speaker 1: over them and you never know if that'll if that

921
00:47:41,960 --> 00:47:44,279
Speaker 1: will backfire, but them not turning with the ball over

922
00:47:44,280 --> 00:47:47,520
Speaker 1: against that Syracuse D I think just getting solid looks up.

923
00:47:48,160 --> 00:47:50,640
Speaker 1: I would expect used to actually roll them and cover this.

924
00:47:50,880 --> 00:47:53,319
Speaker 1: I think the shock already spread actually has the same

925
00:47:53,440 --> 00:47:55,800
Speaker 1: as Vegas at six points. But I actually do like

926
00:47:55,880 --> 00:47:59,839
Speaker 1: Houston personally intuition there. I know you have a luck

927
00:48:00,000 --> 00:48:02,640
Speaker 1: going on. Obviously, you know your psychology tests and all

928
00:48:02,680 --> 00:48:06,279
Speaker 1: that fun stuff. But between the David Griffin emails, have

929
00:48:06,480 --> 00:48:08,400
Speaker 1: you been able to try to bet a lot of

930
00:48:08,440 --> 00:48:12,040
Speaker 1: these games? I try to stay. I don't know what

931
00:48:12,120 --> 00:48:13,680
Speaker 1: you could say that you're in New York. I should

932
00:48:13,680 --> 00:48:15,279
Speaker 1: say New York. I don't know if it's legal to

933
00:48:15,320 --> 00:48:17,120
Speaker 1: gamble there, but not not trying to get you in trouble.

934
00:48:17,400 --> 00:48:22,839
Speaker 1: But you know, I wager a very slight amount. I'm

935
00:48:22,880 --> 00:48:24,360
Speaker 1: not I don't have a lot of money as a

936
00:48:24,400 --> 00:48:26,640
Speaker 1: college student, so I really don't have much to put in.

937
00:48:26,800 --> 00:48:29,160
Speaker 1: But hopefully down the road I'll get more and more

938
00:48:29,200 --> 00:48:32,960
Speaker 1: into it. Honestly, Okay, what does shot quality, say for

939
00:48:33,120 --> 00:48:36,319
Speaker 1: the Florida State Michigan game, because that is a game

940
00:48:36,360 --> 00:48:38,680
Speaker 1: I had circled. I've had Florida State all along winning this.

941
00:48:38,960 --> 00:48:42,360
Speaker 1: I'm fairly loaded up on the seminoles here. How do

942
00:48:42,440 --> 00:48:45,600
Speaker 1: you factor in the Liver's injury for Michigan. So let

943
00:48:45,640 --> 00:48:47,680
Speaker 1: me tell you this. I think Florida State to chuck

944
00:48:47,680 --> 00:48:50,200
Speaker 1: all the OUTAM has Michigan by three points in the game,

945
00:48:50,239 --> 00:48:52,120
Speaker 1: which I think it's similar the spread, but that's not

946
00:48:52,280 --> 00:48:55,719
Speaker 1: factoring the full magnitude of how long liverage has been out.

947
00:48:56,080 --> 00:48:57,920
Speaker 1: So basically, I think if I had to create a

948
00:48:57,960 --> 00:49:00,600
Speaker 1: new spread just sprinkling the livers and jury, I would

949
00:49:00,600 --> 00:49:03,360
Speaker 1: expect it would be Florida State probably be favorite to

950
00:49:03,400 --> 00:49:05,400
Speaker 1: lose by one. So I do think that is some

951
00:49:05,480 --> 00:49:09,040
Speaker 1: good value there, and I think Florida's State really could

952
00:49:09,040 --> 00:49:10,719
Speaker 1: beat them. I mean the way Michigan has played, they

953
00:49:10,760 --> 00:49:14,239
Speaker 1: played like crap against Texas Southern, played terrible against not

954
00:49:14,440 --> 00:49:17,239
Speaker 1: great against l s U. I don't think. I think

955
00:49:17,280 --> 00:49:19,560
Speaker 1: the quality of shots is really deteriorated the last few

956
00:49:19,600 --> 00:49:21,840
Speaker 1: games without livers, and I do like that play Florida

957
00:49:21,840 --> 00:49:25,120
Speaker 1: State a lot. Okay is there again? Now Alabama? You

958
00:49:25,360 --> 00:49:27,480
Speaker 1: u Cee l A is one that everybody's projecting as

959
00:49:27,520 --> 00:49:31,080
Speaker 1: a massive blowout, and you see l A. I'm assuming

960
00:49:31,160 --> 00:49:33,359
Speaker 1: has exceeded expectations because they were not a great team

961
00:49:33,400 --> 00:49:37,160
Speaker 1: this season. They definitely have exceed the expectations. They're like

962
00:49:37,239 --> 00:49:39,680
Speaker 1: the epitome of the anti shot quality team because they

963
00:49:39,760 --> 00:49:42,240
Speaker 1: just they let up so many threes and ram shots

964
00:49:42,280 --> 00:49:44,560
Speaker 1: and they don't shoot. They shoot so many mid range,

965
00:49:44,600 --> 00:49:47,000
Speaker 1: so they're like the anti shot quality team, I'd say,

966
00:49:47,000 --> 00:49:49,359
Speaker 1: and Alabama is probably like the most pro shot. All

967
00:49:49,360 --> 00:49:51,000
Speaker 1: they do is I mean, if you've seen their shot

968
00:49:51,080 --> 00:49:54,759
Speaker 1: charts after the games, it's all threes and layups. Um uh.

969
00:49:55,480 --> 00:49:58,160
Speaker 1: The interesting thing is with betting on Alabama, which always

970
00:49:58,200 --> 00:50:01,560
Speaker 1: scares me and other betters, and it's just the volatility

971
00:50:01,640 --> 00:50:04,400
Speaker 1: with the three point shot with them, because if you

972
00:50:04,440 --> 00:50:06,400
Speaker 1: shoot forty three a game at thirty five, three is

973
00:50:06,440 --> 00:50:09,040
Speaker 1: a game and John Petty just misses one or two

974
00:50:09,320 --> 00:50:11,200
Speaker 1: or two or three, like that's what everyone in the spread.

975
00:50:11,280 --> 00:50:14,000
Speaker 1: So that always scares me, just the variability. I had

976
00:50:14,640 --> 00:50:17,680
Speaker 1: some handicapper I was texting with after the the other game.

977
00:50:17,719 --> 00:50:21,239
Speaker 1: I think he had the under in the Maryland Alabama game,

978
00:50:21,280 --> 00:50:25,400
Speaker 1: and basically, yeah, when Bama gets off from three, like

979
00:50:25,480 --> 00:50:27,279
Speaker 1: what can you do? Like, it's just like it's just

980
00:50:27,440 --> 00:50:30,480
Speaker 1: so volatile, and it's just obviously frustrated. It is funny

981
00:50:30,560 --> 00:50:34,279
Speaker 1: to watch Maryland's defense totally lock up Yukon. Yukon could

982
00:50:34,280 --> 00:50:36,800
Speaker 1: do nothing. Book night was pretty terrible. I had Maryland

983
00:50:36,840 --> 00:50:38,560
Speaker 1: and that one, and then the next game out and

984
00:50:38,600 --> 00:50:40,759
Speaker 1: Alabama makes I don't know they made like twelve out

985
00:50:40,800 --> 00:50:43,239
Speaker 1: of threes at one point, but that you're right, they

986
00:50:43,280 --> 00:50:46,800
Speaker 1: do shoot forty threes a game, fifteenth in the country.

987
00:50:46,880 --> 00:50:48,800
Speaker 1: And then you look over at U c l and

988
00:50:48,840 --> 00:50:50,680
Speaker 1: it's like, oh, U c l A does not the

989
00:50:50,880 --> 00:50:54,160
Speaker 1: twenty seven threes a game two fifty five. So I

990
00:50:54,200 --> 00:50:56,440
Speaker 1: don't know, Simon, is that a game where you kind

991
00:50:56,480 --> 00:50:58,040
Speaker 1: of like U c l A Or is there better?

992
00:50:58,280 --> 00:51:01,080
Speaker 1: Is it better to in game bet that given how

993
00:51:01,200 --> 00:51:04,600
Speaker 1: things are going, I think the best live bets of

994
00:51:04,680 --> 00:51:07,279
Speaker 1: teams like Alabama. So basically, like let's say Alabama starts

995
00:51:07,360 --> 00:51:09,600
Speaker 1: one for ten for three, uh U c l A

996
00:51:09,680 --> 00:51:12,440
Speaker 1: is up twelve. Those are my favorite times to hammer

997
00:51:12,560 --> 00:51:14,359
Speaker 1: the team that's just suffering from a lot of three

998
00:51:14,400 --> 00:51:16,440
Speaker 1: point luck like games. Obviously not a ten percent three

999
00:51:16,440 --> 00:51:18,680
Speaker 1: point treot team, so if Bama gets down early or

1000
00:51:18,719 --> 00:51:20,120
Speaker 1: something like that, I think that would be a good

1001
00:51:20,160 --> 00:51:22,759
Speaker 1: live better. All right, we'll close out with this one

1002
00:51:23,440 --> 00:51:26,560
Speaker 1: unless there's a game you really really love, not Illinois.

1003
00:51:26,600 --> 00:51:30,040
Speaker 1: Loyola takes down Illinois. Let's start to finish. I'm assuming

1004
00:51:30,040 --> 00:51:33,160
Speaker 1: shot quality did not have that upset they did not.

1005
00:51:33,360 --> 00:51:36,880
Speaker 1: Loyala Chicago dominated the shots in that game and legitimately

1006
00:51:37,120 --> 00:51:39,560
Speaker 1: beat them, Like this was not a game where oh

1007
00:51:39,840 --> 00:51:41,560
Speaker 1: they got worse shots and they just got locked in.

1008
00:51:41,600 --> 00:51:44,480
Speaker 1: Loyal Chicago is an elite team and they legitimately took

1009
00:51:44,560 --> 00:51:47,200
Speaker 1: down Illinois, which is crazy. And where are you on

1010
00:51:47,360 --> 00:51:49,400
Speaker 1: Oregon State Loyola Because I feel like a lot of

1011
00:51:49,480 --> 00:51:53,040
Speaker 1: people almost want to gravitate toward Oregon State, but I don't.

1012
00:51:53,719 --> 00:51:55,759
Speaker 1: I really don't like this is my probably one of

1013
00:51:55,800 --> 00:51:57,600
Speaker 1: my most favorite players of the weekend. I think, so

1014
00:51:57,719 --> 00:52:01,239
Speaker 1: Oregon State. They've won the last five games, but I

1015
00:52:01,400 --> 00:52:03,320
Speaker 1: just said the last four. They've won the last four games,

1016
00:52:03,680 --> 00:52:07,480
Speaker 1: and of those four games, Oregon, Colorado, Tennessee, Oklahoma State,

1017
00:52:07,960 --> 00:52:10,319
Speaker 1: based off the quality of shots they've gotten of all

1018
00:52:10,320 --> 00:52:13,359
Speaker 1: their individual players, they were expecting to lose all four

1019
00:52:13,520 --> 00:52:16,560
Speaker 1: those games. So they are playing way way over their

1020
00:52:16,600 --> 00:52:19,640
Speaker 1: heads and loyal Chicago is just a great freaking team,

1021
00:52:19,680 --> 00:52:22,080
Speaker 1: and I think they there's a really good chance and

1022
00:52:22,120 --> 00:52:23,600
Speaker 1: the I'm just washing them. That one feels like a

1023
00:52:23,640 --> 00:52:25,800
Speaker 1: blood bath. Okay. Al right, so who do you have

1024
00:52:26,120 --> 00:52:30,680
Speaker 1: winning the title right now? I'm assuming Gonzaga, right. It's

1025
00:52:30,719 --> 00:52:33,640
Speaker 1: really based off like the shot quality side, Like Gonzaga

1026
00:52:33,719 --> 00:52:36,399
Speaker 1: is just a huge favor right now. The closest teams

1027
00:52:36,400 --> 00:52:39,800
Speaker 1: are Baylor and then Loyalist Chicago. So I guess that

1028
00:52:39,840 --> 00:52:42,320
Speaker 1: would be the final four right when I was Baylor, Gonzaga,

1029
00:52:42,400 --> 00:52:46,960
Speaker 1: Loyalist Chicago, and then um FSU were Alabama. Yeah, bam

1030
00:52:47,040 --> 00:52:49,520
Speaker 1: my bam bam Bama. I've went higher than Okay, So

1031
00:52:49,760 --> 00:52:52,239
Speaker 1: let me close out by asking this on the NBA. Well,

1032
00:52:52,280 --> 00:52:56,560
Speaker 1: first of all, you're a junior senior, junior junior, okay,

1033
00:52:56,800 --> 00:53:00,439
Speaker 1: so you're still used a year out from du eating.

1034
00:53:00,760 --> 00:53:02,960
Speaker 1: Do you have any internships or anything lined up this

1035
00:53:03,080 --> 00:53:05,400
Speaker 1: all this summer or anything? Maybe you can't talk about it.

1036
00:53:05,440 --> 00:53:08,239
Speaker 1: I don't know, and you send Simon you know, people

1037
00:53:08,239 --> 00:53:12,400
Speaker 1: have been like grabbing at you. Um No, I have

1038
00:53:12,520 --> 00:53:14,680
Speaker 1: nothing lined up at this point. I honestly, my goal

1039
00:53:14,760 --> 00:53:17,040
Speaker 1: is just to keep working on shot cars as at

1040
00:53:17,239 --> 00:53:19,320
Speaker 1: as long as I possibly can and just keep building

1041
00:53:19,360 --> 00:53:21,279
Speaker 1: it out because I do think I hopefully have something

1042
00:53:21,400 --> 00:53:24,880
Speaker 1: here and just can keep rolling with it. Do you

1043
00:53:25,680 --> 00:53:27,640
Speaker 1: have you dabbled in football at all? Or is it

1044
00:53:27,760 --> 00:53:32,560
Speaker 1: just simply been basketball? So I have not dabbled in football.

1045
00:53:32,560 --> 00:53:35,000
Speaker 1: I've done some NBA stuff a little bit, just looking

1046
00:53:35,040 --> 00:53:37,120
Speaker 1: at like shot Quate with because I'm a big nick fans.

1047
00:53:37,160 --> 00:53:39,839
Speaker 1: I've just checked that out a little bit. I haven't

1048
00:53:39,880 --> 00:53:41,960
Speaker 1: posted anything on Twitter or anything like that, but um,

1049
00:53:42,360 --> 00:53:45,080
Speaker 1: done a little with the n B A nothing with football.

1050
00:53:45,160 --> 00:53:47,000
Speaker 1: I did a lot of baseball analytics before I got

1051
00:53:47,080 --> 00:53:49,000
Speaker 1: to college, but I kind of got bored baseball a

1052
00:53:49,040 --> 00:53:51,320
Speaker 1: little bit. It's just a little too slow based for

1053
00:53:51,360 --> 00:53:55,960
Speaker 1: me at this point. But definitely yeah. Uh. One more thing, Um,

1054
00:53:56,440 --> 00:53:59,600
Speaker 1: your background growing up? Were you big into sports or

1055
00:53:59,680 --> 00:54:01,800
Speaker 1: more the numbers? And I guess you grew up in

1056
00:54:01,840 --> 00:54:05,640
Speaker 1: the computer cell phone era. Um, just for the audience

1057
00:54:05,680 --> 00:54:07,759
Speaker 1: out there who's got young kids and are like, hey, man,

1058
00:54:08,040 --> 00:54:11,000
Speaker 1: I want my kid on that Simon path towards uh,

1059
00:54:11,360 --> 00:54:13,200
Speaker 1: you know, going to a good school like col Gate.

1060
00:54:13,719 --> 00:54:16,960
Speaker 1: How did you get into all the numbers? Well, it's

1061
00:54:17,000 --> 00:54:18,960
Speaker 1: kind of funny. I'm not like like a math Like

1062
00:54:19,000 --> 00:54:20,759
Speaker 1: I'm not even like that good with math. I kind

1063
00:54:20,760 --> 00:54:22,480
Speaker 1: of just picked up on this because I really enjoyed

1064
00:54:22,600 --> 00:54:25,520
Speaker 1: just watching sports and I knew I was gonna play

1065
00:54:25,600 --> 00:54:27,960
Speaker 1: sports anywhere, and once I got to college, I was

1066
00:54:28,040 --> 00:54:32,400
Speaker 1: just really infatuated with just the way box scores tell

1067
00:54:32,760 --> 00:54:35,040
Speaker 1: so much about the game, but also leave out so

1068
00:54:35,200 --> 00:54:37,719
Speaker 1: much about the game, Like like, I just think there's

1069
00:54:37,800 --> 00:54:41,160
Speaker 1: so much that we aren't able to pick up on

1070
00:54:41,320 --> 00:54:43,520
Speaker 1: when you checked the score after like even like that

1071
00:54:43,640 --> 00:54:45,600
Speaker 1: Kansas CRC game, Like you check the box score, you

1072
00:54:45,680 --> 00:54:49,520
Speaker 1: see Isaiah Mobli shot whenever seven five from three, They're like, oh,

1073
00:54:49,640 --> 00:54:52,160
Speaker 1: great game from Isaiah Mobli. I just think there's so

1074
00:54:52,320 --> 00:54:55,400
Speaker 1: much that we're missing as fans when we're not watching.

1075
00:54:55,440 --> 00:54:57,080
Speaker 1: And that's why I believe so much in the eye test,

1076
00:54:57,160 --> 00:55:00,160
Speaker 1: because we pick up so much with our eyes, and

1077
00:55:00,280 --> 00:55:03,440
Speaker 1: I think hopefully with the shockball on the other sides,

1078
00:55:03,560 --> 00:55:08,240
Speaker 1: we could just keep expanding with figuring out the correct

1079
00:55:08,760 --> 00:55:14,480
Speaker 1: more intuitive box scores. Alright, Simon Gerzberg, Colgate Jr. Unbelievable?

1080
00:55:14,560 --> 00:55:17,680
Speaker 1: What are you? Are you twenty one yet? Or no? Oh,

1081
00:55:17,840 --> 00:55:20,600
Speaker 1: my goodness, twenty the world is his voice? All right? Simon?

1082
00:55:20,640 --> 00:55:23,800
Speaker 1: Thanks a lot man. We'll talk to you soon. Appreciate Jason,

1083
00:55:23,880 --> 00:55:24,200
Speaker 1: thank you,