1 00:00:00,000 --> 00:00:03,920 Speaker 1: Ten thirty d NFL Combine is happening in India this week, 2 00:00:03,960 --> 00:00:07,720 Speaker 1: which is where the crew at Suomer Sports is posted up. 3 00:00:07,760 --> 00:00:12,000 Speaker 1: And Sam Brookhouse, who was with Suomer Sports and wrote 4 00:00:12,039 --> 00:00:14,320 Speaker 1: a piece or contributed to a piece at least that 5 00:00:14,360 --> 00:00:17,439 Speaker 1: we referenced on yesterday's show, he is kind enough to 6 00:00:17,480 --> 00:00:19,760 Speaker 1: join us from the combine. Sam, what's going on? 7 00:00:21,280 --> 00:00:24,079 Speaker 2: Hey, I'm here at the combine, And honestly, this is 8 00:00:24,120 --> 00:00:26,000 Speaker 2: my favorite event of the year. And the reason why 9 00:00:26,079 --> 00:00:28,240 Speaker 2: is because that's the data scientist. It's my job to 10 00:00:28,280 --> 00:00:30,880 Speaker 2: gather data points and I'm able to get so many 11 00:00:30,920 --> 00:00:36,000 Speaker 2: good data points from analysts and agents and team guys 12 00:00:36,080 --> 00:00:38,400 Speaker 2: and et cetera, et cetera. On this draft class. I'm 13 00:00:38,400 --> 00:00:39,360 Speaker 2: happy to talk about here. 14 00:00:40,640 --> 00:00:43,320 Speaker 3: How much should I care about ruben Bain's arm size? 15 00:00:45,720 --> 00:00:48,360 Speaker 2: So look, I mean there's like broad what I call 16 00:00:48,400 --> 00:00:51,760 Speaker 2: broadcast stats, like the first time since X and something 17 00:00:51,800 --> 00:00:55,080 Speaker 2: since why, Like I believe the statistic that's floating around 18 00:00:55,240 --> 00:00:58,560 Speaker 2: is that a player with the armlesth or below that 19 00:00:58,720 --> 00:01:03,640 Speaker 2: arm lest has not seen a ten stacked season in 20 00:01:03,720 --> 00:01:06,080 Speaker 2: like twenty years or something like that. That being said, 21 00:01:06,600 --> 00:01:08,920 Speaker 2: you look at his wingspan, it's actually not that bad. 22 00:01:09,240 --> 00:01:11,240 Speaker 2: And you try to consider what Ruben Bain did, and 23 00:01:11,280 --> 00:01:13,160 Speaker 2: it reminds me a lot of the Will Campbell stuff 24 00:01:13,160 --> 00:01:17,000 Speaker 2: from last year. And realistically, we're hard on Will Campbell 25 00:01:17,720 --> 00:01:19,600 Speaker 2: because of his performance in the super Bowl, But who 26 00:01:19,640 --> 00:01:22,760 Speaker 2: doesn't look bad when Mike McDonald is scheming up against you? 27 00:01:22,920 --> 00:01:26,920 Speaker 2: And also Drake may himself as a high sack player 28 00:01:27,880 --> 00:01:30,720 Speaker 2: and sometimes invites pressure by moving up in the pocket 29 00:01:30,760 --> 00:01:33,360 Speaker 2: and dropping deep. So there are elements of Will Campbell. 30 00:01:33,400 --> 00:01:35,440 Speaker 2: But I guarantee you if you go ask Mike Brabile 31 00:01:35,840 --> 00:01:38,039 Speaker 2: if he could have gotten quality start after quality started 32 00:01:38,080 --> 00:01:39,959 Speaker 2: out of Will Campbell like he did for the majority 33 00:01:40,000 --> 00:01:41,480 Speaker 2: of this year, if he would still take him at three, 34 00:01:41,600 --> 00:01:44,040 Speaker 2: he would. And so I think there are certain players 35 00:01:44,040 --> 00:01:46,920 Speaker 2: that you just have to make you have to make 36 00:01:47,080 --> 00:01:49,800 Speaker 2: exceptions for, and in my opinion, that is Ruben Bain 37 00:01:49,880 --> 00:01:52,760 Speaker 2: because we see multiple blue chip analytical traits from him, 38 00:01:53,200 --> 00:01:56,040 Speaker 2: and typically that means that you're a pretty good prospect. 39 00:01:56,160 --> 00:01:59,160 Speaker 2: So if the arms aren't as long as they need 40 00:01:59,200 --> 00:02:03,920 Speaker 2: to be, main has clearly figured it out, operated around it, 41 00:02:04,160 --> 00:02:08,600 Speaker 2: and succeeded at the power five level. And so I 42 00:02:08,639 --> 00:02:11,280 Speaker 2: think given that production profile, which is up there with 43 00:02:11,320 --> 00:02:14,839 Speaker 2: the likes of Aiden Hutchinson and others. I do think 44 00:02:14,880 --> 00:02:17,240 Speaker 2: he's a top tier blue hip player in this draft. 45 00:02:18,480 --> 00:02:21,760 Speaker 1: You love data, and this week you can swim in 46 00:02:21,919 --> 00:02:24,480 Speaker 1: all the data coming out of the combine. What data 47 00:02:24,480 --> 00:02:26,880 Speaker 1: this week should I be paying attention to the most? 48 00:02:27,760 --> 00:02:30,640 Speaker 2: Yeah? The reality of the situation is when you're looking 49 00:02:30,720 --> 00:02:34,239 Speaker 2: at the actual athletic drills, which everyone is watching right 50 00:02:34,280 --> 00:02:37,520 Speaker 2: now and everyone will be watching throughout the weekend. If 51 00:02:37,560 --> 00:02:39,720 Speaker 2: I had to rank it out of ten how much 52 00:02:39,760 --> 00:02:44,440 Speaker 2: I care, or rather how predictive it is of future performance, 53 00:02:44,680 --> 00:02:47,400 Speaker 2: I'll rank it about a three of ten. Now, what 54 00:02:47,440 --> 00:02:50,120 Speaker 2: does that mean? It means. It means it is enough. 55 00:02:50,200 --> 00:02:53,160 Speaker 2: It's not a one or a zero. It's enough to 56 00:02:53,240 --> 00:02:56,079 Speaker 2: care about. But it's certainly a part of the puzzle, 57 00:02:56,120 --> 00:02:57,760 Speaker 2: and it's not a massive part of the puzzle. The 58 00:02:57,760 --> 00:02:59,960 Speaker 2: way I like to describe it is if you are 59 00:03:00,120 --> 00:03:02,880 Speaker 2: within a blue Ship grade in a scouting system, which 60 00:03:02,919 --> 00:03:05,079 Speaker 2: basically means you expect a player to be a pro 61 00:03:05,160 --> 00:03:08,480 Speaker 2: bowl or an all pro, or looking at some of 62 00:03:08,480 --> 00:03:09,720 Speaker 2: the other grades, you think that you could be a 63 00:03:09,720 --> 00:03:12,040 Speaker 2: starter or a backup or something like that. You may 64 00:03:12,160 --> 00:03:15,360 Speaker 2: move someone with the exact same grade up a spot 65 00:03:15,400 --> 00:03:17,959 Speaker 2: on your big board because of his forty yard dash 66 00:03:18,040 --> 00:03:21,280 Speaker 2: if you're a defensive end for example, or because of 67 00:03:21,320 --> 00:03:25,760 Speaker 2: his short shuttle if you're a if you're an intier 68 00:03:25,800 --> 00:03:28,880 Speaker 2: offensive line, and maybe you'll do that, but in reality 69 00:03:28,919 --> 00:03:31,480 Speaker 2: it's still a three out of ten. That's my true belief. 70 00:03:31,560 --> 00:03:34,040 Speaker 2: That's what the correlations show, and I think that is 71 00:03:34,040 --> 00:03:37,720 Speaker 2: what you got to look at during the combine. 72 00:03:37,040 --> 00:03:41,520 Speaker 1: At which position can the combine best predict future success 73 00:03:41,520 --> 00:03:42,160 Speaker 1: for these guys? 74 00:03:43,520 --> 00:03:46,320 Speaker 2: Yeah, so if you're looking at the maximum, So if 75 00:03:46,360 --> 00:03:48,120 Speaker 2: you're looking at the forty yard dash, what can I 76 00:03:48,200 --> 00:03:51,120 Speaker 2: most clean from that? That's little inside linebacker position. The 77 00:03:51,160 --> 00:03:53,680 Speaker 2: problem is most of the other drills are pretty useless 78 00:03:53,720 --> 00:03:56,600 Speaker 2: for inside backers. So if you're looking on average, it's 79 00:03:56,640 --> 00:03:59,000 Speaker 2: the offensive line. And boy are we happy that it's 80 00:03:59,040 --> 00:04:02,280 Speaker 2: the offensive line because it's difficult to find other data 81 00:04:02,320 --> 00:04:06,119 Speaker 2: points that can really help us historically, I'm talking going 82 00:04:06,160 --> 00:04:09,120 Speaker 2: back twenty thirty years. Historically, it's hard to find other 83 00:04:09,200 --> 00:04:13,760 Speaker 2: data points that can compare and contrast offensive linemen. So 84 00:04:14,080 --> 00:04:18,200 Speaker 2: it's about a two point seven across all of offensive 85 00:04:18,200 --> 00:04:23,520 Speaker 2: line metrics and particularly tackles the adage from the scouting community, 86 00:04:24,080 --> 00:04:26,880 Speaker 2: Draft athletic tackles does not come from nowhere. It actually 87 00:04:26,880 --> 00:04:29,440 Speaker 2: shows up in that historical combine data going back twenty 88 00:04:29,480 --> 00:04:32,720 Speaker 2: or thirty years. It shows that when you get can 89 00:04:32,720 --> 00:04:35,160 Speaker 2: get fast tackles, and you can get tackles that can move, 90 00:04:35,400 --> 00:04:39,720 Speaker 2: as evidenced by the athletic tests, it actually means something 91 00:04:39,760 --> 00:04:42,360 Speaker 2: good or it can nudge you up in the big board, 92 00:04:43,000 --> 00:04:45,719 Speaker 2: and it can predict slightly. It can be a part 93 00:04:45,760 --> 00:04:48,480 Speaker 2: of your prediction for your performance at the next level. 94 00:04:49,680 --> 00:04:52,120 Speaker 3: Sim Brookus from sumer Sports is with us. 95 00:04:52,160 --> 00:04:55,720 Speaker 1: The combine in Indianapolis is happening right now. 96 00:04:55,760 --> 00:04:58,440 Speaker 3: How often do you go you know, you and I talked. 97 00:04:58,480 --> 00:05:00,520 Speaker 1: You were at the Senior Bowl right when you start 98 00:05:00,560 --> 00:05:03,040 Speaker 1: to get a sense of you know, at which position 99 00:05:03,240 --> 00:05:06,440 Speaker 1: is the class of players deep? At which position is 100 00:05:06,480 --> 00:05:09,320 Speaker 1: there may be not as many high end prospects. How 101 00:05:09,360 --> 00:05:11,680 Speaker 1: often do you go into the combine thinking one thing 102 00:05:11,720 --> 00:05:14,839 Speaker 1: about players at a certain position or maybe a class 103 00:05:14,880 --> 00:05:16,599 Speaker 1: as a whole, and then come out of it feeling 104 00:05:16,600 --> 00:05:17,200 Speaker 1: a different way. 105 00:05:18,400 --> 00:05:20,640 Speaker 2: It happens quite a bit. And again, like I'm a 106 00:05:20,680 --> 00:05:23,440 Speaker 2: data scientist, I'm trying to figure out the consensus and 107 00:05:23,640 --> 00:05:26,520 Speaker 2: prove or disprove the consensus, because that's what the wisdom 108 00:05:26,520 --> 00:05:29,599 Speaker 2: of the crowds is and that's how data is best used. 109 00:05:29,680 --> 00:05:32,200 Speaker 2: So I was coming into the combine thinking that this 110 00:05:32,320 --> 00:05:34,800 Speaker 2: was a really good defensive tackle class. And they're on 111 00:05:34,839 --> 00:05:37,440 Speaker 2: the field right now in Indy as I speak to 112 00:05:37,480 --> 00:05:40,440 Speaker 2: you right now, Guys like Caleb Banks, like guys like 113 00:05:40,520 --> 00:05:44,239 Speaker 2: Lee Hunter. Uh, there's a big kind of uh Kayla 114 00:05:44,320 --> 00:05:48,039 Speaker 2: McDonald out of Ohio State. There's a big number and 115 00:05:48,080 --> 00:05:52,000 Speaker 2: a big name list of defensive tackles that I had 116 00:05:52,000 --> 00:05:54,320 Speaker 2: in my mind that indicated that this was a really 117 00:05:54,360 --> 00:05:57,239 Speaker 2: good defensive tackle class and people could find a position 118 00:05:57,279 --> 00:06:02,440 Speaker 2: that it's rising in its premiere due to the success 119 00:06:02,440 --> 00:06:06,000 Speaker 2: of the Mike McDonald defense and the big Fangio defenses 120 00:06:06,040 --> 00:06:07,960 Speaker 2: that like to drop a lot of guys back and 121 00:06:08,120 --> 00:06:10,400 Speaker 2: utilize the defensive tackles to stuff to run on first 122 00:06:10,440 --> 00:06:14,000 Speaker 2: and second down. I don't necessarily think that is the 123 00:06:14,080 --> 00:06:16,960 Speaker 2: consensus case anymore, and I'm interested to dive deeper into 124 00:06:17,000 --> 00:06:19,520 Speaker 2: data to try to prove or disprove that. I was 125 00:06:19,720 --> 00:06:22,200 Speaker 2: noticing that guys like Lee Hunter, for example, did not 126 00:06:22,279 --> 00:06:25,320 Speaker 2: have great data profiles. But what I've kind of learned 127 00:06:25,400 --> 00:06:27,960 Speaker 2: coming in and talking to multiple analysts and seeing their 128 00:06:28,040 --> 00:06:30,840 Speaker 2: data and comparing it to what we have, or maybe 129 00:06:30,880 --> 00:06:33,400 Speaker 2: it's some new pieces of data that some people thought 130 00:06:33,520 --> 00:06:36,599 Speaker 2: to look into. It seems as if this could be 131 00:06:36,800 --> 00:06:40,600 Speaker 2: a really good defensive tackle class, and it's a deep class. However, 132 00:06:40,600 --> 00:06:44,719 Speaker 2: there's probably not any top fifteen level players, which means 133 00:06:44,720 --> 00:06:47,440 Speaker 2: probably not any defensive tackles that will end up being 134 00:06:47,480 --> 00:06:50,920 Speaker 2: all pros on average based on their prospect profile in 135 00:06:50,960 --> 00:06:53,600 Speaker 2: this draft at all. And so what does that mean. 136 00:06:53,760 --> 00:06:55,839 Speaker 2: There's gonna be a lot of teams that really struggle 137 00:06:55,880 --> 00:06:58,480 Speaker 2: to stuff to run that are going to be lacking 138 00:06:58,800 --> 00:07:01,520 Speaker 2: and betting that some these guys that don't have as 139 00:07:01,520 --> 00:07:03,760 Speaker 2: good as a profile can work out for them. That 140 00:07:03,920 --> 00:07:06,440 Speaker 2: was a radically different thing than I thought was going 141 00:07:06,440 --> 00:07:08,600 Speaker 2: to be the case coming in. And now that I've 142 00:07:08,680 --> 00:07:11,280 Speaker 2: kind of seen the consensus and seen what the film 143 00:07:11,280 --> 00:07:13,680 Speaker 2: guys think, I'm going to keep digging into this in 144 00:07:13,720 --> 00:07:15,720 Speaker 2: the next couple of weeks. Hopefully we'll have an answer 145 00:07:15,920 --> 00:07:18,120 Speaker 2: by the time we get to the pro days. But 146 00:07:18,160 --> 00:07:20,480 Speaker 2: that was definitely something shocking to me and kind of 147 00:07:20,760 --> 00:07:24,240 Speaker 2: changed my hypothesis about what this draft should be. And 148 00:07:24,240 --> 00:07:26,600 Speaker 2: I'm getting ready to test that hypothesis once I leave Indy. 149 00:07:27,600 --> 00:07:29,280 Speaker 1: You know, I don't have many folks on this show 150 00:07:29,320 --> 00:07:31,800 Speaker 1: who use the word hypothesis, which is why, which is 151 00:07:31,800 --> 00:07:32,800 Speaker 1: why we call you Sam. 152 00:07:32,880 --> 00:07:34,360 Speaker 3: Let me ask you about Caleb Downs. 153 00:07:35,000 --> 00:07:39,320 Speaker 1: So when you just watch him on tape, and I've 154 00:07:39,440 --> 00:07:41,800 Speaker 1: watched really smart people kind of point out some of 155 00:07:41,840 --> 00:07:45,000 Speaker 1: the things he can do, it's I mean, you walk 156 00:07:45,040 --> 00:07:46,640 Speaker 1: away from it going I'm not sure there's a better 157 00:07:46,640 --> 00:07:48,040 Speaker 1: football player in this class. 158 00:07:48,080 --> 00:07:48,880 Speaker 3: But he plays. 159 00:07:48,600 --> 00:07:51,840 Speaker 1: Safety, right, So the question of positional value comes into play. 160 00:07:51,840 --> 00:07:54,480 Speaker 1: We've talked about him a lot here because the Bengals 161 00:07:54,520 --> 00:07:56,800 Speaker 1: need safety help. If he's there at ten, there's going 162 00:07:56,880 --> 00:07:58,400 Speaker 1: to be a lot of teams that decide, you know, 163 00:07:58,600 --> 00:08:00,320 Speaker 1: we love him, but we're not going to take a 164 00:08:00,320 --> 00:08:02,920 Speaker 1: safety in the top nine. Maybe the Bengals don't take 165 00:08:02,920 --> 00:08:05,320 Speaker 1: a safety in the top ten. What does data tell 166 00:08:05,320 --> 00:08:07,560 Speaker 1: you about a player like him when you go okay 167 00:08:07,600 --> 00:08:10,840 Speaker 1: on film? He does all these things, but he plays 168 00:08:10,880 --> 00:08:13,840 Speaker 1: a position that is not regarded as a premium position. 169 00:08:15,120 --> 00:08:17,080 Speaker 2: So I think there's a couple things, and I'll start 170 00:08:17,120 --> 00:08:20,680 Speaker 2: off with the premium position comment. I am a data scientist. 171 00:08:20,760 --> 00:08:24,640 Speaker 2: My goal is to value these players, and as a result, 172 00:08:24,720 --> 00:08:27,520 Speaker 2: I would really really struggle to take a safety a 173 00:08:27,560 --> 00:08:33,280 Speaker 2: running back or an inside linebacker anywhere, definitely before pick fifteen. 174 00:08:33,800 --> 00:08:36,040 Speaker 2: And in the case of running backs, I really wouldn't 175 00:08:36,040 --> 00:08:37,880 Speaker 2: even do it in the first round. I'd start to 176 00:08:37,920 --> 00:08:43,240 Speaker 2: consider linebackers around maybe pick twenty, pick twenty five. I'd 177 00:08:43,240 --> 00:08:46,679 Speaker 2: start to consider safety is around pick fifteen. Now let's 178 00:08:46,720 --> 00:08:50,240 Speaker 2: move on into the Caleb Downs discussion. Here's the guy 179 00:08:50,400 --> 00:08:53,679 Speaker 2: who is positionally versatile, can basically do it all. Our 180 00:08:53,720 --> 00:08:56,439 Speaker 2: scouts think that he potentially could even stretch out to cornerback. 181 00:08:56,480 --> 00:08:59,400 Speaker 2: We don't have any data on that, but he has 182 00:08:59,480 --> 00:09:02,000 Speaker 2: basically done it all and done it all well, whether 183 00:09:02,040 --> 00:09:05,200 Speaker 2: that was aut Alabama or whether that was at Ohio State. 184 00:09:05,320 --> 00:09:07,400 Speaker 2: So the data does like him. It thinks he's a 185 00:09:07,480 --> 00:09:11,960 Speaker 2: quality college prospect. Let's go one step further. The consensus 186 00:09:11,960 --> 00:09:16,200 Speaker 2: big board this year will likely settle with three players 187 00:09:16,200 --> 00:09:20,320 Speaker 2: at the top who are all non premium positions. Number one. 188 00:09:20,360 --> 00:09:21,720 Speaker 2: We've heard a lot of people that think it could 189 00:09:21,720 --> 00:09:23,760 Speaker 2: be Caleb Downs. We think we've talked to a lot 190 00:09:23,760 --> 00:09:25,920 Speaker 2: of people who think it could be Jeremiah Love, and 191 00:09:25,960 --> 00:09:29,360 Speaker 2: then Sonny Styles seems to be I don't know if 192 00:09:29,400 --> 00:09:31,320 Speaker 2: you can call him a riser, but as we kind 193 00:09:31,320 --> 00:09:34,640 Speaker 2: of dust off the diamond here on the consensus big Board. 194 00:09:34,679 --> 00:09:37,720 Speaker 2: It seems that Sonny Styles could be in the consensus 195 00:09:37,760 --> 00:09:41,400 Speaker 2: third best player at his position in this draft. Here's 196 00:09:41,440 --> 00:09:43,280 Speaker 2: what people need to get out of their mind, though, 197 00:09:43,440 --> 00:09:45,120 Speaker 2: And I really found this out this week and I 198 00:09:45,120 --> 00:09:46,880 Speaker 2: double checked it with the data, and it turns out 199 00:09:46,880 --> 00:09:49,760 Speaker 2: to be correct. People want to go get nick him 200 00:09:49,800 --> 00:09:51,800 Speaker 2: and worry, they want to go get Kyle Hamilton, they 201 00:09:51,800 --> 00:09:53,960 Speaker 2: want to go get Derwin James. Because there's three really 202 00:09:53,960 --> 00:09:57,000 Speaker 2: really good defenses, and that's three defenses that have these 203 00:09:57,080 --> 00:09:59,839 Speaker 2: kind of big nickel safeties that allow teams to play 204 00:10:00,240 --> 00:10:04,800 Speaker 2: a nickel against thirteen personnel or twelve versonnel. Caleb Downs 205 00:10:04,880 --> 00:10:07,560 Speaker 2: is not that, and I think that's a misconception that 206 00:10:07,559 --> 00:10:10,640 Speaker 2: people really think that because he's positionally versatile, he's going 207 00:10:10,720 --> 00:10:13,400 Speaker 2: to be the type of run defender banger that we've 208 00:10:13,440 --> 00:10:16,000 Speaker 2: seen from those defenses. I don't think that's the case. 209 00:10:16,040 --> 00:10:19,400 Speaker 2: I think a better comparable in terms of size that 210 00:10:19,440 --> 00:10:21,439 Speaker 2: I've heard is someone like Buddha Baker, a guy who 211 00:10:21,440 --> 00:10:24,200 Speaker 2: can make every tackle but isn't necessarily going to be 212 00:10:24,200 --> 00:10:27,400 Speaker 2: acting at like a linebacker or an edge rusher anytime soon. 213 00:10:27,720 --> 00:10:30,280 Speaker 2: So I think that's the misconception with Caleb Downs. I 214 00:10:30,280 --> 00:10:32,200 Speaker 2: think that's the reason why we could see him fall 215 00:10:32,440 --> 00:10:34,920 Speaker 2: past five. But a lot of people seem to believe 216 00:10:34,920 --> 00:10:38,520 Speaker 2: that he's the best player at his position in this draft. I, 217 00:10:38,679 --> 00:10:41,040 Speaker 2: for one, am a positional value guy. Thus, I wouldn't 218 00:10:41,080 --> 00:10:44,120 Speaker 2: really consider drafting him over an excellent edge rusher, excellent 219 00:10:44,120 --> 00:10:47,559 Speaker 2: wide receiver, excellent tackle. If I were a general manager. 220 00:10:48,600 --> 00:10:51,199 Speaker 3: Well put Sam, enjoy the combine, man, Thanks so much. 221 00:10:52,040 --> 00:10:52,840 Speaker 2: Thank you all so much. 222 00:10:53,800 --> 00:10:56,800 Speaker 1: That's our guy, Sam brouckwe suomer Sports. Checkout suomer sports 223 00:10:56,840 --> 00:11:02,120 Speaker 1: dot com. Sum Er Sam du a terrific job uses 224 00:11:02,160 --> 00:11:06,880 Speaker 1: the word hypothesis a lot. We appreciate his time. If 225 00:11:06,920 --> 00:11:13,600 Speaker 1: Caleb Downs is there at ten, I'm taking them. I've 226 00:11:13,600 --> 00:11:16,160 Speaker 1: watched the Bengals B and I don't have the twenty 227 00:11:16,240 --> 00:11:18,000 Speaker 1: twenty five numbers in front of me, but I watched 228 00:11:18,000 --> 00:11:20,679 Speaker 1: them in twenty twenty four. B by far and away 229 00:11:20,720 --> 00:11:23,600 Speaker 1: the worst team in the NFL at giving up explosive plays. 230 00:11:24,320 --> 00:11:26,400 Speaker 1: I would imagine they're not that far removed from the 231 00:11:26,400 --> 00:11:27,880 Speaker 1: bottom in twenty twenty five. 232 00:11:29,480 --> 00:11:32,760 Speaker 3: I'm taking Caleb Downs. 233 00:11:32,679 --> 00:11:36,760 Speaker 1: Thirteen away from five o'clock. But I mean, that's it's 234 00:11:36,880 --> 00:11:41,080 Speaker 1: it's a very relevant discussion. Right, there's a reason why 235 00:11:41,320 --> 00:11:43,240 Speaker 1: it was. Jamal Adams was the last safety go to 236 00:11:43,320 --> 00:11:45,679 Speaker 1: the last safety to go in the top eight. If 237 00:11:45,720 --> 00:11:50,240 Speaker 1: I'm not mistaken, Like there's discussions about positional value that 238 00:11:50,320 --> 00:11:53,040 Speaker 1: are there, and they're fair and they're legitimate, and they 239 00:11:53,080 --> 00:11:58,000 Speaker 1: don't just happen here. Twelve away from five o'clock five one, three, seven, four, nine, 240 00:11:58,040 --> 00:12:02,080 Speaker 1: fifteen thirty, Justin Cyclones, who's going to be the franchise's 241 00:12:02,200 --> 00:12:05,360 Speaker 1: all time leader in points, is going to join us 242 00:12:05,400 --> 00:12:09,199 Speaker 1: at five point twenty on ESPN fifteen thirty Cincinnati Sports. 243 00:12:08,880 --> 00:12:13,400 Speaker 2: Station Cincinnati's ESPN fifteen thirty. 244 00:12:14,400 --> 00:12:18,440 Speaker 4: Traffic from the UC Health Traffic Center at u See Health. 245 00:12:18,520 --> 00:12:21,079 Speaker 4: They never miss a beat. Your heart shouldn't either. If 246 00:12:21,120 --> 00:12:23,800 Speaker 4: you have signs of a cardiac rhythm disorder, don't wait 247 00:12:23,840 --> 00:12:27,760 Speaker 4: to be seen. Schedule online at UCHealth dot com. Southbound 248 00:12:27,800 --> 00:12:31,040 Speaker 4: seventy one, A disabled vehicle cleared out from the right 249 00:12:31,080 --> 00:12:33,839 Speaker 4: center lane. That was after Martin Luther King drive a 250 00:12:33,960 --> 00:12:37,920 Speaker 4: ten minute delay still from Dana. However, Mary Ingles Highway 251 00:12:38,000 --> 00:12:41,880 Speaker 4: closed off from a structure fire between California Crossroad and 252 00:12:42,000 --> 00:12:44,320 Speaker 4: Henderson Lane. I'm at ezelic with 253 00:12:44,559 --> 00:12:46,320 Speaker 3: Traffic this report is