1 00:00:00,280 --> 00:00:04,680 Speaker 1: You found Cincinnati's ESPN fifteen thirty. So we read this 2 00:00:04,960 --> 00:00:08,000 Speaker 1: last week. Comba legger, this is ESPN fifteen thirty. Thanks 3 00:00:08,000 --> 00:00:08,520 Speaker 1: for listening. 4 00:00:08,600 --> 00:00:12,280 Speaker 2: Last Friday, we read a blurb. I think blurb's the 5 00:00:12,360 --> 00:00:12,879 Speaker 2: right word. 6 00:00:13,400 --> 00:00:15,560 Speaker 1: There's an ESPN dot com piece on. 7 00:00:17,000 --> 00:00:20,400 Speaker 2: Best nuts for the upcoming baseball season, over unders, things 8 00:00:20,520 --> 00:00:24,840 Speaker 2: like that, and we read the snippet We'll go a 9 00:00:24,960 --> 00:00:28,480 Speaker 2: snippet on the Reds, which was authored by a guy 10 00:00:28,560 --> 00:00:32,879 Speaker 2: named Derek Carty, ESPN betting analyst, and he had the 11 00:00:32,920 --> 00:00:35,560 Speaker 2: Reds finishing with fewer than eighty two and a half wins, 12 00:00:35,600 --> 00:00:38,280 Speaker 2: and that I don't think is that far fetched. I've 13 00:00:38,320 --> 00:00:40,360 Speaker 2: got him a little bit better. But you know, it's 14 00:00:40,640 --> 00:00:42,559 Speaker 2: they won eighty three games last year. If they won 15 00:00:42,600 --> 00:00:44,559 Speaker 2: eighty two games, it wouldn't be a shock. Eighty two 16 00:00:44,600 --> 00:00:47,159 Speaker 2: would be the under. But what stood out to me, 17 00:00:47,280 --> 00:00:49,160 Speaker 2: and I think what stood out to a lot of folks, 18 00:00:49,320 --> 00:00:52,720 Speaker 2: was the explanation. And the explanation was, well, there's questions 19 00:00:52,760 --> 00:00:55,760 Speaker 2: in the rotation. Andrew Abbott's been one of the luckiest 20 00:00:55,760 --> 00:00:59,360 Speaker 2: pitchers in baseball. Nicoladolo's stuff declined after returning from injury, 21 00:00:59,800 --> 00:01:05,600 Speaker 2: and Derek wrote about projections having this as close to 22 00:01:05,760 --> 00:01:09,000 Speaker 2: a bottom five pitching staff. And so we read this 23 00:01:09,120 --> 00:01:10,800 Speaker 2: on Friday and I said, man, I'd love to get 24 00:01:10,800 --> 00:01:13,160 Speaker 2: this guy on because that doesn't mesh with the consensus. 25 00:01:13,240 --> 00:01:17,480 Speaker 2: Over the weekend, this was spread on Twitter and Derek 26 00:01:17,560 --> 00:01:21,760 Speaker 2: Carty became the latest Cincinnati sports internet villain. You know, 27 00:01:21,840 --> 00:01:25,720 Speaker 2: on this show, we love getting on Cincinnati sports internet villains. 28 00:01:25,760 --> 00:01:28,360 Speaker 2: And so, in the middle of being called a bunch 29 00:01:28,400 --> 00:01:30,560 Speaker 2: of names, I reached out to Derek and said, love 30 00:01:30,600 --> 00:01:32,760 Speaker 2: to have you on, and he was nice enough to 31 00:01:32,800 --> 00:01:33,840 Speaker 2: agree to a join us. 32 00:01:33,840 --> 00:01:37,560 Speaker 1: Derek Carty is here. How you doing, sir, I'm doing 33 00:01:37,600 --> 00:01:38,039 Speaker 1: pretty well. 34 00:01:38,040 --> 00:01:38,920 Speaker 3: Thanks so much for having me on. 35 00:01:39,120 --> 00:01:41,520 Speaker 2: What is the meanest thing a reds Fain either called 36 00:01:41,560 --> 00:01:42,840 Speaker 2: you or said to you over the weekend. 37 00:01:45,520 --> 00:01:48,640 Speaker 3: I don't know about the meanest, but I did learn 38 00:01:48,680 --> 00:01:51,080 Speaker 3: this weekend that the R word is in heavy rotation 39 00:01:51,200 --> 00:01:52,360 Speaker 3: for most people these days. 40 00:01:52,560 --> 00:01:56,160 Speaker 2: Yeah, that's that's uh, that's unfortunate. All right, let's uh, 41 00:01:56,440 --> 00:01:58,840 Speaker 2: let's get to a few of the the the basic 42 00:01:58,880 --> 00:02:02,200 Speaker 2: premises of your article. Let's start with Andrew Abbitt, who 43 00:02:03,040 --> 00:02:05,520 Speaker 2: you expect to have regression. It's worth pointing out by 44 00:02:05,560 --> 00:02:08,120 Speaker 2: the way you offered it me a couple of sorts 45 00:02:08,160 --> 00:02:11,040 Speaker 2: on social media, a little bit of an explanation talked 46 00:02:11,040 --> 00:02:15,720 Speaker 2: about misreading some data. The snippet on the ESPN dot 47 00:02:15,800 --> 00:02:19,200 Speaker 2: com piece has been rewritten to reflect that. But you 48 00:02:19,320 --> 00:02:23,680 Speaker 2: expect Andrew Abbott to be a candidate for regression, and 49 00:02:23,760 --> 00:02:25,679 Speaker 2: he was awesome in the first half last year. The 50 00:02:25,760 --> 00:02:28,480 Speaker 2: number is not so great in the second half. They 51 00:02:28,480 --> 00:02:31,280 Speaker 2: weren't atrocious, but they weren't up to the standard he 52 00:02:31,360 --> 00:02:34,040 Speaker 2: set with that amazing first half. Why do you expect 53 00:02:34,080 --> 00:02:36,080 Speaker 2: him to take a step back in twenty twenty six. 54 00:02:39,120 --> 00:02:41,160 Speaker 3: So a lot of it has to do with just 55 00:02:41,200 --> 00:02:44,840 Speaker 3: some of the core principles of sabermetrics, with that limited 56 00:02:44,880 --> 00:02:48,320 Speaker 3: control over certain things. They have limited control over the 57 00:02:48,400 --> 00:02:50,480 Speaker 3: hits that they allow on balls and play, the percentage 58 00:02:50,480 --> 00:02:52,840 Speaker 3: of runners that they strand on base, the percentage of 59 00:02:52,840 --> 00:02:55,440 Speaker 3: their fly balls that turn into home runs. Generally, when 60 00:02:55,480 --> 00:02:57,720 Speaker 3: a picture does really well in one of these categories, 61 00:02:57,960 --> 00:03:00,480 Speaker 3: it helps his era. He looks really good, but it 62 00:03:00,520 --> 00:03:03,480 Speaker 3: doesn't necessarily carry over to his future era very well. 63 00:03:03,919 --> 00:03:07,440 Speaker 3: Abbot has outperformed in all three and even though he's 64 00:03:07,440 --> 00:03:09,040 Speaker 3: done it for three years, and that seems like a 65 00:03:09,040 --> 00:03:11,040 Speaker 3: long time when it comes to these stats, the math 66 00:03:11,120 --> 00:03:13,920 Speaker 3: kind of says he's still probably likely to get worse 67 00:03:13,960 --> 00:03:15,560 Speaker 3: at them. 68 00:03:15,760 --> 00:03:18,760 Speaker 2: So, all right, you can get worse, you're also getting 69 00:03:18,760 --> 00:03:21,320 Speaker 2: worse from what was a pretty lofty standard in the 70 00:03:21,320 --> 00:03:23,839 Speaker 2: first half of last year. Does getting worse mean he's 71 00:03:23,840 --> 00:03:24,480 Speaker 2: a bad picture? 72 00:03:26,120 --> 00:03:29,120 Speaker 3: No, No, I have Andrew Abbot projected as about an 73 00:03:29,120 --> 00:03:31,359 Speaker 3: average picture, maybe a little below average, which I think 74 00:03:31,440 --> 00:03:33,640 Speaker 3: is still well below what most people want to hear. 75 00:03:35,040 --> 00:03:38,120 Speaker 3: But when you look at kind of his underlying peripheral metrics, 76 00:03:38,120 --> 00:03:39,880 Speaker 3: he doesn't strike a lot of guys out. He doesn't 77 00:03:39,920 --> 00:03:42,920 Speaker 3: have great control. He gives up a lot of fly balls. 78 00:03:43,200 --> 00:03:46,040 Speaker 3: Even when you dive even deeper into the stackcast data, 79 00:03:46,280 --> 00:03:47,920 Speaker 3: you know what his pitch mix is and how good 80 00:03:47,960 --> 00:03:49,600 Speaker 3: his stuff is. If you look at his velocity and 81 00:03:49,640 --> 00:03:51,200 Speaker 3: his movement and his spin rate and his tilt and 82 00:03:51,240 --> 00:03:53,600 Speaker 3: his tunneling and all that kind of good stuff. We 83 00:03:53,640 --> 00:03:55,880 Speaker 3: can quantify all that stuff now and we can say 84 00:03:56,360 --> 00:03:59,440 Speaker 3: precisely what scouts see with their eyes. And the problem 85 00:03:59,480 --> 00:04:01,360 Speaker 3: with Abbot is that all of these stuff models, no 86 00:04:01,360 --> 00:04:04,040 Speaker 3: matter who you look at, they don't like him. They 87 00:04:04,080 --> 00:04:06,240 Speaker 3: don't believe that he's one of these guys that can 88 00:04:06,520 --> 00:04:10,520 Speaker 3: outperform the underlying metrics, the way he's done for the 89 00:04:10,560 --> 00:04:13,960 Speaker 3: past couple of years. So it really just comes down to, 90 00:04:14,360 --> 00:04:17,680 Speaker 3: you know, maybe I'm wrong, Maybe the statistics here are wrong. 91 00:04:17,720 --> 00:04:22,560 Speaker 3: Maybe he really is an outlier like those guys do exist, 92 00:04:22,800 --> 00:04:26,080 Speaker 3: But probability wise, I don't think he is. And we've 93 00:04:26,080 --> 00:04:28,760 Speaker 3: seen it time and again with guys throughout the history 94 00:04:28,800 --> 00:04:30,520 Speaker 3: of baseball, Like look at what Rick Corcello did in 95 00:04:30,560 --> 00:04:33,520 Speaker 3: Boston twenty sixteen. He had what like twenty two wins 96 00:04:33,520 --> 00:04:35,680 Speaker 3: like a three fifteen ERA, He won the Cy young. 97 00:04:36,240 --> 00:04:37,880 Speaker 3: He was only in the league for another four years 98 00:04:37,920 --> 00:04:40,080 Speaker 3: after that, he never had an ERA under four again, 99 00:04:40,160 --> 00:04:42,000 Speaker 3: and then he was kind of forced out of the league, 100 00:04:42,120 --> 00:04:44,120 Speaker 3: like we saw it with Barry Zito in Oakland where 101 00:04:44,160 --> 00:04:47,159 Speaker 3: he was overperforming his peripherals for so long and then 102 00:04:47,440 --> 00:04:49,840 Speaker 3: he completely fell apart. In the final like ten years 103 00:04:49,880 --> 00:04:51,719 Speaker 3: of his career. He never had an RA under four. 104 00:04:52,120 --> 00:04:54,719 Speaker 3: Like it's just it's one of those things where he's 105 00:04:54,760 --> 00:04:57,080 Speaker 3: doing it, he's doing it right up until he can't anymore, 106 00:04:57,200 --> 00:04:59,240 Speaker 3: and a lot of times guys just can't do it 107 00:04:59,279 --> 00:04:59,880 Speaker 3: long term. 108 00:05:00,480 --> 00:05:04,320 Speaker 2: Derek Carty is with us explain or elaborate on I 109 00:05:04,320 --> 00:05:08,680 Speaker 2: guess Nick Lidolo's apparent decline and stuff after he came 110 00:05:08,720 --> 00:05:11,000 Speaker 2: off a three week stint on the injuredless last year. 111 00:05:12,480 --> 00:05:12,800 Speaker 1: Yeah. 112 00:05:12,839 --> 00:05:15,880 Speaker 3: So, I mean, anytime a pitcher comes off an injury, 113 00:05:16,360 --> 00:05:18,680 Speaker 3: there's always a chance that their stuff is going to 114 00:05:18,680 --> 00:05:24,200 Speaker 3: be diminished. Nicklodolo, his fastold velocity was down a little bit. 115 00:05:25,040 --> 00:05:28,359 Speaker 3: I'd have to look into exactly what the difference was. 116 00:05:28,360 --> 00:05:30,680 Speaker 3: But if you look at the stuff metrics, especially the 117 00:05:30,760 --> 00:05:32,080 Speaker 3: one that I just developed, which is going to be 118 00:05:32,120 --> 00:05:35,360 Speaker 3: a fangrass pretty soon, it says that his stuff was 119 00:05:35,400 --> 00:05:38,719 Speaker 3: worse last year, and so it's you project him out 120 00:05:38,880 --> 00:05:42,239 Speaker 3: just using what he actually did. I'd have him projected 121 00:05:42,240 --> 00:05:45,200 Speaker 3: for a four to seventeen ERA when you account for 122 00:05:45,440 --> 00:05:47,520 Speaker 3: the decline and stuff, he projects for a four to 123 00:05:47,520 --> 00:05:51,800 Speaker 3: seventy three RA. So pretty significant drop off there for 124 00:05:51,880 --> 00:05:55,080 Speaker 3: a guy that, uh, you know, maybe next year the 125 00:05:55,120 --> 00:05:57,480 Speaker 3: stuff bounces back. I mean, he came back from from 126 00:05:57,520 --> 00:05:59,240 Speaker 3: an injury. The stuff. You know, there might have been 127 00:05:59,279 --> 00:06:01,000 Speaker 3: some rust that he was taking. Often he might go 128 00:06:01,080 --> 00:06:03,159 Speaker 3: back to being the guy that he was before the injury, 129 00:06:03,000 --> 00:06:05,800 Speaker 3: but we don't know that. It's another question mark. 130 00:06:06,040 --> 00:06:09,520 Speaker 2: I just want fewer blisters. I'll settle for that when 131 00:06:09,560 --> 00:06:12,359 Speaker 2: you talk about stuff, dive into that. For me is 132 00:06:12,360 --> 00:06:14,400 Speaker 2: that control is a command, is a velocity is an 133 00:06:14,400 --> 00:06:16,359 Speaker 2: accommodation of everything to find stuff. 134 00:06:16,400 --> 00:06:20,000 Speaker 3: For me, yes, stuff is. When I say stuff, I 135 00:06:20,080 --> 00:06:23,640 Speaker 3: essentially mean the physical characteristics of a pitch. So it's 136 00:06:23,720 --> 00:06:26,560 Speaker 3: the velocity, it's the movement, it's the spin rate, it's 137 00:06:26,640 --> 00:06:29,760 Speaker 3: the tilt, the late break, how well he tunnels it 138 00:06:29,760 --> 00:06:32,240 Speaker 3: off of other pitches, whether he has bridge pitches to 139 00:06:32,320 --> 00:06:35,200 Speaker 3: work with it, all kinds of stuff like that that 140 00:06:35,320 --> 00:06:37,600 Speaker 3: essentially tells us how good a fastball is, how good 141 00:06:37,640 --> 00:06:40,440 Speaker 3: a curveball is, how good a slider is, and we 142 00:06:40,480 --> 00:06:43,080 Speaker 3: can quantify that. And when you do that, you've wind 143 00:06:43,160 --> 00:06:44,960 Speaker 3: up seeing, okay, the guys that have really good stuff 144 00:06:45,000 --> 00:06:46,640 Speaker 3: for the guys you'd expect, and the guys who have 145 00:06:46,760 --> 00:06:50,919 Speaker 3: bad stuff or the guys you'd expect. And so you know, 146 00:06:50,960 --> 00:06:52,680 Speaker 3: it can be a really informative way of telling us 147 00:06:52,680 --> 00:06:55,080 Speaker 3: who a picture is, or when a picture changes who 148 00:06:55,120 --> 00:06:57,680 Speaker 3: he is, which did appear to be the case with 149 00:06:57,720 --> 00:06:59,560 Speaker 3: the Ladola last year. After the injury. 150 00:07:00,600 --> 00:07:03,960 Speaker 2: Your original premise had Chase Burns, as you put it, 151 00:07:04,040 --> 00:07:07,360 Speaker 2: representing a significant injury risk, and you've kind of walked 152 00:07:07,400 --> 00:07:08,200 Speaker 2: that back. 153 00:07:08,480 --> 00:07:14,160 Speaker 3: Explain that to me, Yeah, so significant. Maybe I overstated it, 154 00:07:14,200 --> 00:07:16,960 Speaker 3: but he did have the flexer strain last year, which 155 00:07:17,040 --> 00:07:20,680 Speaker 3: does oftentimes lead to Tommy John surgery. So that was 156 00:07:20,680 --> 00:07:23,160 Speaker 3: where I was coming from. With Chase Burns, I had 157 00:07:23,200 --> 00:07:24,800 Speaker 3: a lot of red stands tell me that they don't 158 00:07:24,800 --> 00:07:26,240 Speaker 3: believe it was a real injury, that it was a 159 00:07:26,280 --> 00:07:29,320 Speaker 3: phantom injury. They were trying to manage his workload. Maybe 160 00:07:29,320 --> 00:07:31,200 Speaker 3: that was the case. I'm surprised they'd call it a 161 00:07:31,200 --> 00:07:33,600 Speaker 3: flexer strain if that's what it was, if that's what 162 00:07:33,640 --> 00:07:36,680 Speaker 3: they were doing, But that's kind of where that train 163 00:07:36,720 --> 00:07:37,840 Speaker 3: of logic with that came from. 164 00:07:38,120 --> 00:07:42,360 Speaker 2: They have prioritized the bullpen this spring, and there have 165 00:07:42,360 --> 00:07:44,360 Speaker 2: been off seasons where it felt like what they're doing 166 00:07:44,400 --> 00:07:46,920 Speaker 2: in the bullpen is just find some random guys who 167 00:07:47,040 --> 00:07:49,360 Speaker 2: used to be good and maybe they catch lightning in 168 00:07:49,400 --> 00:07:51,920 Speaker 2: the bottle or get a failed starter and put them 169 00:07:51,920 --> 00:07:54,320 Speaker 2: out there. It felt like they made a priority, made 170 00:07:54,320 --> 00:07:57,280 Speaker 2: it a priority to get guys to fill specific roles 171 00:07:57,320 --> 00:08:00,520 Speaker 2: in the bullpen. With Ameliopegon coming back to be the closer, 172 00:08:01,040 --> 00:08:03,560 Speaker 2: you don't love the bullpen as much as people here may. 173 00:08:03,680 --> 00:08:09,240 Speaker 3: Why they made they made additions to the bullpen, but 174 00:08:09,280 --> 00:08:11,880 Speaker 3: I don't know if they made any real impact editions, 175 00:08:11,920 --> 00:08:15,080 Speaker 3: Like they added, uh, they had brock Burke, who's like, 176 00:08:15,400 --> 00:08:19,360 Speaker 3: he's fine, but he's not anything special. They added Pierce Johnson, 177 00:08:19,400 --> 00:08:24,400 Speaker 3: who again is fine, but he's not anything special. They 178 00:08:24,440 --> 00:08:26,640 Speaker 3: don't have an elad Arm in the bullpen. A lot 179 00:08:26,640 --> 00:08:30,120 Speaker 3: of teams have two or even three. Amelia Pegan is 180 00:08:30,760 --> 00:08:33,760 Speaker 3: you know, by you know, ninth inning closer, you know, 181 00:08:34,600 --> 00:08:38,280 Speaker 3: fireman standards. You know, he's realistically one of the weaker 182 00:08:38,320 --> 00:08:40,840 Speaker 3: ones in baseball. So they just don't have that high 183 00:08:40,880 --> 00:08:44,040 Speaker 3: end of the bullpen to really make their bullpen threatening, 184 00:08:44,080 --> 00:08:45,480 Speaker 3: even if they do have a little more depth to 185 00:08:45,480 --> 00:08:45,840 Speaker 3: it now. 186 00:08:47,400 --> 00:08:51,400 Speaker 2: Offensively, you know they did at ayuhanios Lorez And you 187 00:08:51,440 --> 00:08:55,599 Speaker 2: mentioned your your model projects close to seventy nine and 188 00:08:55,640 --> 00:08:58,520 Speaker 2: a half wins for the Reds and that was even 189 00:08:58,679 --> 00:09:03,160 Speaker 2: accounting for the addition of u Haaneosuarez. So what was 190 00:09:03,160 --> 00:09:06,439 Speaker 2: it before and where do you think the biggest shortcoming 191 00:09:06,480 --> 00:09:07,320 Speaker 2: is going to be for this team? 192 00:09:07,360 --> 00:09:07,920 Speaker 1: Offensively? 193 00:09:10,200 --> 00:09:13,760 Speaker 3: I think the biggest shortcoming really is it's not any 194 00:09:13,880 --> 00:09:17,920 Speaker 3: one spot specifically, It's just that they don't have a 195 00:09:17,960 --> 00:09:20,079 Speaker 3: lot of star power outside of Ellie Da La Cruz 196 00:09:20,840 --> 00:09:25,400 Speaker 3: and they It's hard to put my finger on it. 197 00:09:25,400 --> 00:09:27,160 Speaker 3: It's just that they have a bunch of guys that 198 00:09:27,200 --> 00:09:30,160 Speaker 3: are kind of mediocre or below average, and that's kind 199 00:09:30,160 --> 00:09:32,440 Speaker 3: of what their offense is. It's a little below average. 200 00:09:33,280 --> 00:09:35,360 Speaker 2: Yeah, that's the thing, right, Like it was it was 201 00:09:35,400 --> 00:09:36,720 Speaker 2: fourteenth and one score less. 202 00:09:36,720 --> 00:09:39,240 Speaker 1: Not like they were terrible, but I understand the general point. 203 00:09:40,720 --> 00:09:42,520 Speaker 3: Yeah, and they have upside. I mean they have guys 204 00:09:42,520 --> 00:09:44,760 Speaker 3: like South Stewart, who could you know, do something. Maybe 205 00:09:44,800 --> 00:09:47,719 Speaker 3: Matt McLean turns it around. Cabrian Hayes was always a 206 00:09:47,720 --> 00:09:50,000 Speaker 3: guy that I thought was interesting coming up for the Pirates, 207 00:09:50,760 --> 00:09:53,840 Speaker 3: Like they have guys. It's just, uh, you look at 208 00:09:53,880 --> 00:09:56,199 Speaker 3: it right now, and there's not a lot of proven 209 00:09:56,559 --> 00:09:57,920 Speaker 3: offense in this lineup. 210 00:09:58,400 --> 00:10:03,120 Speaker 2: So uh, you go from originally concluding they could have 211 00:10:03,160 --> 00:10:05,640 Speaker 2: close to a bottom five rotation too, when you're Miya 212 00:10:05,720 --> 00:10:09,240 Speaker 2: Kalpa talking about how like actually top five rotation? How 213 00:10:10,559 --> 00:10:12,680 Speaker 2: and don't take this the wrong way, but how do 214 00:10:12,720 --> 00:10:15,559 Speaker 2: you interpret the data one way and then look at 215 00:10:15,559 --> 00:10:18,120 Speaker 2: it in another way that gives us such an extreme 216 00:10:18,200 --> 00:10:19,840 Speaker 2: difference between the two conclusions. 217 00:10:21,760 --> 00:10:24,480 Speaker 3: Yeah, I mean there's no way around it. It was 218 00:10:24,920 --> 00:10:27,080 Speaker 3: a mistake on my end. It was a stupid mistake, 219 00:10:27,120 --> 00:10:28,760 Speaker 3: and it's one that I'm going to be very careful 220 00:10:29,080 --> 00:10:32,960 Speaker 3: to make again. I'm not one hundred percent sure what happened, 221 00:10:33,000 --> 00:10:35,560 Speaker 3: but what I'm pretty sure happened is kind of the 222 00:10:35,559 --> 00:10:37,360 Speaker 3: way I approached that piece. Again, it was a betting 223 00:10:37,400 --> 00:10:39,439 Speaker 3: piece that wasn't like a deep dive into the reds. 224 00:10:39,559 --> 00:10:41,599 Speaker 3: So I was giving a bet and a sentence or 225 00:10:41,640 --> 00:10:44,040 Speaker 3: two to support the bet. And I always start with 226 00:10:44,080 --> 00:10:46,520 Speaker 3: the projection because I run the projection system the bad X, 227 00:10:46,559 --> 00:10:49,280 Speaker 3: which you might know from fangraphs or elsewhere. It's found 228 00:10:49,280 --> 00:10:51,200 Speaker 3: to be the most accurate the last six years running 229 00:10:51,240 --> 00:10:53,920 Speaker 3: like it's good. So when people tell me that they 230 00:10:54,520 --> 00:10:56,880 Speaker 3: hate when you say trust the math, I have a 231 00:10:56,920 --> 00:10:59,280 Speaker 3: very good reason to trust the math sometimes because my 232 00:10:59,280 --> 00:11:02,680 Speaker 3: math is pretty good. So I was just trusting the 233 00:11:02,720 --> 00:11:07,560 Speaker 3: math on the projection. The projection said, okay, they project 234 00:11:07,600 --> 00:11:09,400 Speaker 3: for about seventy nine and a half wins under eighty 235 00:11:09,400 --> 00:11:11,760 Speaker 3: two and a half. There's a little bit of value there. Okay. 236 00:11:11,760 --> 00:11:14,199 Speaker 3: Now I need to find a sentence or two to 237 00:11:14,240 --> 00:11:17,800 Speaker 3: write up to explain why the projection sees that. And 238 00:11:18,000 --> 00:11:20,760 Speaker 3: I must have pulled the data wrong because when I 239 00:11:20,800 --> 00:11:22,480 Speaker 3: went back and look, the Reds do not have a 240 00:11:22,480 --> 00:11:25,400 Speaker 3: bottom five rotation in baseball. They actually projected the top 241 00:11:25,400 --> 00:11:28,120 Speaker 3: five rotation in my system right now. So I don't 242 00:11:28,120 --> 00:11:29,560 Speaker 3: know if I had it sorted. 243 00:11:29,200 --> 00:11:30,320 Speaker 1: The wrong way or what. 244 00:11:30,559 --> 00:11:34,080 Speaker 3: I have no app I have no no idea it was. 245 00:11:35,720 --> 00:11:38,000 Speaker 3: It was just a mistake, you know what. 246 00:11:38,840 --> 00:11:41,720 Speaker 2: The Miya Kulpa and the transparency and the willingness to 247 00:11:41,760 --> 00:11:44,560 Speaker 2: do this and engage some fans on social media are 248 00:11:44,679 --> 00:11:46,920 Speaker 2: things that I admire. Go back to last year, so 249 00:11:47,000 --> 00:11:49,760 Speaker 2: they won eighty three, which, if memory serves me correct, 250 00:11:50,200 --> 00:11:51,840 Speaker 2: they barely hit the over. 251 00:11:51,920 --> 00:11:52,920 Speaker 1: I know they hit the over. 252 00:11:52,760 --> 00:11:54,760 Speaker 2: Because I, like an idiot, I bet them to hit 253 00:11:54,800 --> 00:11:56,800 Speaker 2: the over every year, and my track record's terrible. 254 00:11:57,400 --> 00:11:59,200 Speaker 1: What did you have the Reds out last year? 255 00:12:00,640 --> 00:12:02,480 Speaker 3: I think I had it similar last year where I 256 00:12:02,520 --> 00:12:05,560 Speaker 3: had them about two or three wins under the line 257 00:12:05,720 --> 00:12:08,360 Speaker 3: and it wound up losing. I think if you looked 258 00:12:08,400 --> 00:12:10,400 Speaker 3: at what I had for all thirty teams, it wound 259 00:12:10,480 --> 00:12:13,080 Speaker 3: up being very profitable. But I was wrong about the 260 00:12:13,080 --> 00:12:14,160 Speaker 3: Reds last year as well. 261 00:12:14,360 --> 00:12:16,800 Speaker 2: Go back and I know you're tied on time. Two 262 00:12:16,880 --> 00:12:23,120 Speaker 2: things one Andrew Abbot being lucky which is something you 263 00:12:23,160 --> 00:12:24,800 Speaker 2: put out there for lack of a better way of 264 00:12:24,800 --> 00:12:27,800 Speaker 2: putting it. How do we account for that? Dive into 265 00:12:27,800 --> 00:12:29,680 Speaker 2: that for me, because I could look at Andrew Abbit's 266 00:12:29,760 --> 00:12:32,480 Speaker 2: number seco dude had a pretty good year. Walk me 267 00:12:32,520 --> 00:12:35,280 Speaker 2: through like factoring and luck Why was he lucky last year? 268 00:12:36,840 --> 00:12:39,800 Speaker 3: Well, so Andrew Abbot, Like you look on the surface 269 00:12:39,800 --> 00:12:42,320 Speaker 3: and it looks like he was fantastic. He had pulling 270 00:12:42,400 --> 00:12:43,800 Speaker 3: up this page right now, he had a two eighty 271 00:12:43,840 --> 00:12:47,080 Speaker 3: seven ERA, which is fantastic. But you look under the 272 00:12:47,080 --> 00:12:49,320 Speaker 3: hood at the peripheral metrics and his ex FIP was 273 00:12:49,320 --> 00:12:52,160 Speaker 3: four thirty one. His SIERRA was four twenty. He had 274 00:12:52,200 --> 00:12:54,640 Speaker 3: a two seventy four Babbitt, which is probably lower than 275 00:12:54,679 --> 00:12:56,640 Speaker 3: he's able to sustain. He had an eighty percent left 276 00:12:56,679 --> 00:12:59,560 Speaker 3: on base percentage, which is much higher than anybody can sustain. 277 00:13:00,200 --> 00:13:03,000 Speaker 3: You look at his stuff plus and it's below average. 278 00:13:03,440 --> 00:13:06,960 Speaker 3: It's just uh, you look under the hood and it's like, Okay, 279 00:13:07,000 --> 00:13:08,960 Speaker 3: he's done these things on the surface, he's been able 280 00:13:08,960 --> 00:13:11,199 Speaker 3: to prevent these runs, but he's not doing the types 281 00:13:11,240 --> 00:13:15,000 Speaker 3: of things that guys who prevent runs consistently are able 282 00:13:15,040 --> 00:13:15,360 Speaker 3: to do. 283 00:13:15,960 --> 00:13:16,840 Speaker 1: And what is that. 284 00:13:18,880 --> 00:13:24,240 Speaker 3: Strike? Guys out. I mean, that's a big It sounds 285 00:13:23,920 --> 00:13:26,679 Speaker 3: so simple, stupid, but that is a big part of it. Like, 286 00:13:27,080 --> 00:13:29,520 Speaker 3: strikeouts are one of the stickiest stats we have for 287 00:13:29,559 --> 00:13:31,120 Speaker 3: a picture. It's one of the most important things that 288 00:13:31,160 --> 00:13:33,640 Speaker 3: you can do as a pitcher, and Andrew Abbitt doesn't 289 00:13:33,640 --> 00:13:35,720 Speaker 3: do it. So at the very least, I think we're 290 00:13:35,760 --> 00:13:38,120 Speaker 3: seeing a guy who's going to regress to being above average, 291 00:13:39,000 --> 00:13:40,600 Speaker 3: if not a little bit worse than that. 292 00:13:40,720 --> 00:13:42,960 Speaker 1: What do you project from my guy, Hunter Green this year? 293 00:13:44,040 --> 00:13:47,040 Speaker 3: Oh? I love Hunter Green. This year Hunter Green and 294 00:13:47,120 --> 00:13:50,280 Speaker 3: Chase Burns. My system absolutely loves it, has been both 295 00:13:50,280 --> 00:13:54,040 Speaker 3: his top ten pictures in baseball at this point, projecting 296 00:13:54,120 --> 00:13:56,680 Speaker 3: big years for Green, especially this year. 297 00:13:56,840 --> 00:13:59,600 Speaker 2: Among all the baseball fan bases, where are red fans 298 00:13:59,600 --> 00:14:00,520 Speaker 2: on the me scale? 299 00:14:02,280 --> 00:14:07,000 Speaker 3: Oh, they are pretty high. They are pretty high, all right. 300 00:14:07,200 --> 00:14:09,920 Speaker 3: The BackFlash was it was a lot this weekend. It 301 00:14:09,960 --> 00:14:10,360 Speaker 3: was a lot. 302 00:14:10,559 --> 00:14:11,560 Speaker 1: Yeah. I uh. 303 00:14:12,400 --> 00:14:14,600 Speaker 2: I was sitting there at my kitchen table on Saturday 304 00:14:14,600 --> 00:14:16,600 Speaker 2: morning watching you take it, and I'm like, all right, 305 00:14:16,840 --> 00:14:18,240 Speaker 2: I got to see if this dude will come on 306 00:14:18,240 --> 00:14:20,200 Speaker 2: the air with me, and hopefully he doesn't think I'm 307 00:14:20,200 --> 00:14:22,320 Speaker 2: gonna yell and scream at him as well. So I 308 00:14:22,360 --> 00:14:25,080 Speaker 2: appreciate you doing this and uh we'll do it again. 309 00:14:25,080 --> 00:14:25,240 Speaker 3: Man. 310 00:14:25,280 --> 00:14:27,320 Speaker 1: Thanks so much, Yeah, no problem. 311 00:14:27,360 --> 00:14:28,040 Speaker 3: Thanks for having me on