1 00:00:00,400 --> 00:00:03,320 Speaker 1: Hello, I'm Scott So, I'm een Novie Williams, and I'm 2 00:00:03,360 --> 00:00:06,080 Speaker 1: Michael bar And this is the Bloomberg Business of Sports podcast, 3 00:00:06,200 --> 00:00:11,760 Speaker 1: where we again Evan again. At some point you're just 4 00:00:11,760 --> 00:00:14,920 Speaker 1: gonna stop mentioning that I didn't chime in when there 5 00:00:14,920 --> 00:00:18,000 Speaker 1: has to be consequent Colin Tipton consequences. That's all I'm 6 00:00:18,000 --> 00:00:20,280 Speaker 1: I think of something. Thank you, Thank you. We explore 7 00:00:20,320 --> 00:00:23,680 Speaker 1: the big many issues in the world of sports. Let's 8 00:00:23,680 --> 00:00:26,320 Speaker 1: start because you know CEES is going on right now, 9 00:00:26,440 --> 00:00:28,960 Speaker 1: in case you don't know, that's the Consumer Electronics show 10 00:00:29,160 --> 00:00:30,920 Speaker 1: out in Las Vegas. I had to go to one 11 00:00:30,920 --> 00:00:32,440 Speaker 1: of those. By the way, really, I want to do 12 00:00:32,479 --> 00:00:34,199 Speaker 1: everything I cannot. Yeah, I don't think you want to 13 00:00:36,680 --> 00:00:39,760 Speaker 1: square feet of everybody showing me their panel and their 14 00:00:39,840 --> 00:00:42,479 Speaker 1: demo in there. Next year we'll have Bar file some 15 00:00:42,479 --> 00:00:46,559 Speaker 1: some five minute audio clips reporting from the scene at CES. 16 00:00:47,760 --> 00:00:51,840 Speaker 1: What could you see? Bar? Where's where's guys? I'm lost 17 00:00:52,159 --> 00:00:59,279 Speaker 1: where I've been indoors for eight days, but I hit 18 00:00:59,320 --> 00:01:01,720 Speaker 1: an insight exactly by the way I learned how to 19 00:01:01,720 --> 00:01:07,400 Speaker 1: play Ali Baba and Intel jointly announced plans to develop 20 00:01:07,480 --> 00:01:12,280 Speaker 1: the first ever AI Power three D athlete tracking technology 21 00:01:12,319 --> 00:01:16,240 Speaker 1: for the Tokyo Olympic Games and beyond. This is well 22 00:01:16,319 --> 00:01:19,160 Speaker 1: not just this, I mean we're talking about this because 23 00:01:19,160 --> 00:01:22,800 Speaker 1: it's sort of a symbolic of the entire industry. You 24 00:01:22,840 --> 00:01:26,160 Speaker 1: can't talk sports without talking tech. And the fact that 25 00:01:26,200 --> 00:01:29,080 Speaker 1: Ali Baba is involved and Intel, which by the way, 26 00:01:29,120 --> 00:01:31,280 Speaker 1: has an investment fund, and we have our friend Shawn 27 00:01:31,319 --> 00:01:34,600 Speaker 1: Brian over there in Intel. It really is a marriage 28 00:01:34,640 --> 00:01:37,120 Speaker 1: of sports and tech and where this is going to 29 00:01:37,240 --> 00:01:38,800 Speaker 1: go In terms of what I say all the time, 30 00:01:38,840 --> 00:01:40,840 Speaker 1: how do you scale? First of all, how does it 31 00:01:40,920 --> 00:01:44,160 Speaker 1: help athletes? But we're gonna have Brian rollapp on the 32 00:01:44,160 --> 00:01:47,720 Speaker 1: show later this week. How can you better scale your 33 00:01:47,800 --> 00:01:51,360 Speaker 1: products for the global audience in that flat world? That's 34 00:01:51,400 --> 00:01:53,400 Speaker 1: what the technology and sports is about. Yeah, and just 35 00:01:53,600 --> 00:01:55,520 Speaker 1: two geek out on the on the tech for for 36 00:01:55,560 --> 00:01:59,120 Speaker 1: a second. The movement in this industry is going so 37 00:01:59,160 --> 00:02:02,480 Speaker 1: fast in terms of athlete tracking. What what they announced 38 00:02:02,960 --> 00:02:06,559 Speaker 1: this week at c S is through cameras and through 39 00:02:06,680 --> 00:02:10,240 Speaker 1: computer vision, an ability to do something that we don't 40 00:02:10,320 --> 00:02:13,000 Speaker 1: it doesn't exist quite yet. It's actually it's it's cool. 41 00:02:13,160 --> 00:02:15,639 Speaker 1: It's I mean a lot of the things that we 42 00:02:15,800 --> 00:02:18,200 Speaker 1: athletes were censors for now you know, the sleeve the 43 00:02:18,240 --> 00:02:22,239 Speaker 1: pictures wear to measure their elbow angle, etcetera. The sleeves 44 00:02:22,280 --> 00:02:24,760 Speaker 1: that runners wear on their you know, for their for 45 00:02:24,800 --> 00:02:26,959 Speaker 1: their neck, to figure their head position or their knees. 46 00:02:27,480 --> 00:02:29,679 Speaker 1: All of that is something that Ali Baba intel in 47 00:02:29,760 --> 00:02:32,520 Speaker 1: this company I believe called Wrench it's w R n 48 00:02:32,560 --> 00:02:35,079 Speaker 1: C h UM. All of that is something that they're 49 00:02:35,120 --> 00:02:37,520 Speaker 1: saying that they can do via camera. And there's also 50 00:02:37,600 --> 00:02:40,560 Speaker 1: some very interesting applications here right there when you talk 51 00:02:40,600 --> 00:02:44,840 Speaker 1: about the way that leagues and unions interact on player data. 52 00:02:45,280 --> 00:02:47,840 Speaker 1: A lot of the lines that players draw is something 53 00:02:47,880 --> 00:02:50,359 Speaker 1: that goes on my body is mine? Right? That is 54 00:02:50,400 --> 00:02:53,160 Speaker 1: something that I need to be involved in. If you 55 00:02:53,200 --> 00:02:55,440 Speaker 1: can get all of that data, all the biometric data 56 00:02:55,480 --> 00:02:57,720 Speaker 1: from a camera that's sitting up in the rafters or 57 00:02:57,760 --> 00:03:00,600 Speaker 1: in the stadium, that's going to change the whole ownership 58 00:03:00,880 --> 00:03:02,520 Speaker 1: prospect of the whole thing that there's a lot of 59 00:03:02,520 --> 00:03:04,960 Speaker 1: really interesting applications of this outside of the fact that 60 00:03:04,960 --> 00:03:07,280 Speaker 1: this is just really cool technology. If they can get 61 00:03:07,320 --> 00:03:09,440 Speaker 1: it done. I want to know if our microphones are sensitive, 62 00:03:09,480 --> 00:03:11,360 Speaker 1: if we can keep in this show that little snorts 63 00:03:11,400 --> 00:03:18,720 Speaker 1: swallow you ahead, Wow, because if our listeners are here, 64 00:03:18,760 --> 00:03:22,360 Speaker 1: and I like to address it. That's why the interesting 65 00:03:22,400 --> 00:03:24,399 Speaker 1: story in the Times, by the way, earlier this week, 66 00:03:24,440 --> 00:03:27,720 Speaker 1: I've been about the Mavericks testing the blood of players, 67 00:03:27,760 --> 00:03:29,440 Speaker 1: and and again it goes to the privacy. Who does 68 00:03:29,440 --> 00:03:32,760 Speaker 1: it belong to? Kenn it hurts you in contract negotiations, 69 00:03:33,080 --> 00:03:35,880 Speaker 1: but has said the only people that he gives longer 70 00:03:35,880 --> 00:03:38,760 Speaker 1: contracts to than his players are his doctors and leagues 71 00:03:38,800 --> 00:03:41,240 Speaker 1: are you know, they're all different in their approaches. Essentially, 72 00:03:41,320 --> 00:03:44,119 Speaker 1: depending on when your CBA was signed, is how progressive 73 00:03:44,120 --> 00:03:46,360 Speaker 1: your league has been because that the technology is moving 74 00:03:46,400 --> 00:03:49,120 Speaker 1: so fast. So the the NBA, whose CBA I believe, 75 00:03:50,320 --> 00:03:52,680 Speaker 1: you know, they have written in their explicitly NBA players 76 00:03:52,680 --> 00:03:55,040 Speaker 1: are allowed to opt out of anything your team wants 77 00:03:55,040 --> 00:03:57,480 Speaker 1: to wear on your body biometric wise. There is a 78 00:03:57,520 --> 00:03:59,960 Speaker 1: two d and fifty thou dollar fine for any team 79 00:04:00,040 --> 00:04:03,400 Speaker 1: that uses that data in the wrong ways, including in 80 00:04:03,800 --> 00:04:06,440 Speaker 1: contract negotiations. You know, so that they are probably the 81 00:04:06,440 --> 00:04:09,080 Speaker 1: most progressive of the league's outlining that. Then you look 82 00:04:09,080 --> 00:04:11,320 Speaker 1: at the NFL cb A signed in two thousand ten, 83 00:04:11,360 --> 00:04:13,560 Speaker 1: two thousand eleven, something like that. You're not allowed to 84 00:04:13,560 --> 00:04:18,000 Speaker 1: wear warming socks. There's nothing really in there about certainly 85 00:04:18,040 --> 00:04:21,160 Speaker 1: not about wearables and biometrics. And there is a little 86 00:04:21,160 --> 00:04:23,280 Speaker 1: bit in there about the tracking the r F I 87 00:04:23,360 --> 00:04:26,320 Speaker 1: D chips in uh in shoulder pads, which is something 88 00:04:26,360 --> 00:04:28,400 Speaker 1: the NFL has been working on for a while. So 89 00:04:28,560 --> 00:04:30,520 Speaker 1: this is a topic that is obviously going to continue 90 00:04:30,560 --> 00:04:33,120 Speaker 1: to be a big issue moving forward in sports business. 91 00:04:33,120 --> 00:04:34,760 Speaker 1: And I'd love to see on the TV screed again. 92 00:04:34,800 --> 00:04:36,000 Speaker 1: You know, I'm a big thing. I want to see 93 00:04:36,040 --> 00:04:38,359 Speaker 1: the heartbeat. I want to see speed. I want to 94 00:04:38,400 --> 00:04:42,520 Speaker 1: see you know, collision force force equals mass times acceleration, 95 00:04:42,600 --> 00:04:44,520 Speaker 1: So I want to see the running back of the linebackerround. 96 00:04:44,520 --> 00:04:46,719 Speaker 1: How fast were they running? What do they weigh? And 97 00:04:46,839 --> 00:04:49,400 Speaker 1: what are you doing? I don't know. You kicked something? 98 00:04:49,720 --> 00:04:55,480 Speaker 1: My lord, you really got me all up. Yeah, I mean, 99 00:04:55,480 --> 00:04:56,719 Speaker 1: this is the kind of stuff. I can see this 100 00:04:56,760 --> 00:04:59,520 Speaker 1: on the screen. You can see where the engagement that 101 00:04:59,600 --> 00:05:02,960 Speaker 1: the the prospects for owners and leagues is exciting. And 102 00:05:02,960 --> 00:05:04,719 Speaker 1: then you throw on the betting on top of it. Yeah, 103 00:05:04,720 --> 00:05:07,800 Speaker 1: the gambling is a critical part of this because that's 104 00:05:07,839 --> 00:05:11,080 Speaker 1: the even bigger monetization commercial aspect of this is that 105 00:05:11,320 --> 00:05:13,120 Speaker 1: you know, we've seen with these deals MGM, with the 106 00:05:13,200 --> 00:05:16,039 Speaker 1: NHL It's a perfect example. Right. They part of their 107 00:05:16,040 --> 00:05:18,400 Speaker 1: deal with with the NHL to become the official sports 108 00:05:18,440 --> 00:05:21,000 Speaker 1: book of the league is access to a new kind 109 00:05:21,000 --> 00:05:22,880 Speaker 1: of data exactly kind of what we're talking about with 110 00:05:22,920 --> 00:05:25,520 Speaker 1: Ali Baba here. Uh. It is a tracking data. You know, 111 00:05:25,560 --> 00:05:30,119 Speaker 1: it will show tracking puck and player, fastest skater, hardest shot. 112 00:05:30,600 --> 00:05:33,080 Speaker 1: Those are things that one, gamblers would like to to 113 00:05:33,200 --> 00:05:35,000 Speaker 1: know when they get a sense of, you know, who's 114 00:05:35,040 --> 00:05:36,920 Speaker 1: playing well, why they're playing well, how much load is 115 00:05:36,920 --> 00:05:39,600 Speaker 1: on their body. But most importantly, people might want to 116 00:05:39,600 --> 00:05:41,520 Speaker 1: gamble on that. Right, What's who's gonna have the hardest 117 00:05:41,520 --> 00:05:44,880 Speaker 1: shot of the third quarter? Williams creating level tonight? How 118 00:05:44,960 --> 00:05:50,280 Speaker 1: is it gonna perform? Yes? So, as athlete data is 119 00:05:50,360 --> 00:05:53,320 Speaker 1: kind of advancing on these two parallel tracks, where one, 120 00:05:53,360 --> 00:05:56,080 Speaker 1: the technology is so good that athletes know more about 121 00:05:56,120 --> 00:05:58,240 Speaker 1: their body, their recovery and all that than they ever 122 00:05:58,279 --> 00:06:01,960 Speaker 1: have because the technology is great. Two, there's more options 123 00:06:01,960 --> 00:06:05,159 Speaker 1: through broadcast and through sports betting to make money off it, 124 00:06:05,279 --> 00:06:08,400 Speaker 1: you know, and and that creates all these tensions between players, 125 00:06:08,440 --> 00:06:11,480 Speaker 1: between teams, between leagues between You're gonna need media, You're 126 00:06:11,480 --> 00:06:14,280 Speaker 1: gonna need semi annual like CB A reopeners on tech. 127 00:06:14,440 --> 00:06:16,640 Speaker 1: You can't do this over eight year term. Absolutely, yeah, 128 00:06:16,760 --> 00:06:18,839 Speaker 1: it's a You're right, it's a If you're signing a 129 00:06:18,880 --> 00:06:20,560 Speaker 1: ten year c b A and most of them at 130 00:06:20,640 --> 00:06:23,440 Speaker 1: least do this, they have wiggle room in there for 131 00:06:23,560 --> 00:06:27,159 Speaker 1: a tech you know, panel to to revise. I believe 132 00:06:27,240 --> 00:06:30,000 Speaker 1: the NBA c b A mentioned specific companies that were 133 00:06:30,200 --> 00:06:32,360 Speaker 1: the only ones allowed to be used, and I think 134 00:06:32,360 --> 00:06:34,680 Speaker 1: they've updated that a few times over the past couple 135 00:06:34,680 --> 00:06:37,120 Speaker 1: of years. Um, But you're right, this is a This 136 00:06:37,160 --> 00:06:40,400 Speaker 1: is a fluid moving situation and as tech gets better, 137 00:06:40,440 --> 00:06:43,320 Speaker 1: as this Ali Baba announcement shows, they're gonna have to 138 00:06:43,360 --> 00:06:46,520 Speaker 1: continue to revise the best practices you know where there's 139 00:06:46,520 --> 00:06:49,160 Speaker 1: going to be applied to the common man. And and 140 00:06:49,240 --> 00:06:52,080 Speaker 1: you want to make money out of this, it really 141 00:06:52,160 --> 00:06:55,359 Speaker 1: because the whole point of this is too for any 142 00:06:55,400 --> 00:06:59,720 Speaker 1: athlete to improve their performance. A golfer, you want to 143 00:06:59,720 --> 00:07:01,800 Speaker 1: improve of your golf game, you want to improve your 144 00:07:01,800 --> 00:07:04,400 Speaker 1: bowling game, you want to go get lessons like this, 145 00:07:04,839 --> 00:07:07,960 Speaker 1: put these cameras on and there you go, and you 146 00:07:08,040 --> 00:07:10,320 Speaker 1: pay for this lesson and you can see where your 147 00:07:10,400 --> 00:07:12,960 Speaker 1: arms wing is all messed up. And I want to 148 00:07:12,960 --> 00:07:15,640 Speaker 1: see that swing. Messed up on that last ball in 149 00:07:15,640 --> 00:07:17,760 Speaker 1: the last frame when you bowled to where do you 150 00:07:17,800 --> 00:07:20,160 Speaker 1: think you went wrong? Well? I went wrong after I 151 00:07:20,200 --> 00:07:24,239 Speaker 1: like telling us the lane hadn't been I had shot 152 00:07:24,240 --> 00:07:30,360 Speaker 1: at before that. Yeah, you know you're not lifelong regret 153 00:07:30,400 --> 00:07:36,000 Speaker 1: to is a lifelong regret. Any who speaking of player data, 154 00:07:37,280 --> 00:07:39,720 Speaker 1: which is Evan's story, which brings us to the point 155 00:07:39,880 --> 00:07:43,160 Speaker 1: who owns it? Yeah? So the We wrote something earlier 156 00:07:43,200 --> 00:07:45,520 Speaker 1: this week about a sports innovation lab out of Boston 157 00:07:45,800 --> 00:07:47,960 Speaker 1: which is kind of trying to tackle all of these 158 00:07:48,200 --> 00:07:51,400 Speaker 1: thorny questions, right, who owns the data? How do you protect? 159 00:07:51,480 --> 00:07:54,160 Speaker 1: In what ways do you need to protect players as 160 00:07:54,360 --> 00:07:57,800 Speaker 1: commercialization happens? Um? How do you share in the money 161 00:07:57,880 --> 00:08:00,720 Speaker 1: that that comes out of them? Um? This is a group, 162 00:08:00,760 --> 00:08:04,320 Speaker 1: it's sixteen people. There's good representation across you know, NFL, 163 00:08:04,400 --> 00:08:07,200 Speaker 1: NFL p A are both on their NHL that there's 164 00:08:07,200 --> 00:08:10,840 Speaker 1: good league and team representation. There's also tech companies so whoop, 165 00:08:10,920 --> 00:08:15,680 Speaker 1: the athletic tracker origin Oreco, the blood testing group that 166 00:08:15,760 --> 00:08:18,080 Speaker 1: the that the Mavericks use. They're all on the panel 167 00:08:18,080 --> 00:08:21,120 Speaker 1: as well, plus some academics. They're gonna sit together, they're 168 00:08:21,120 --> 00:08:22,960 Speaker 1: gonna they're gonna meet a couple of times this year. 169 00:08:23,160 --> 00:08:25,520 Speaker 1: Their goal is to try to create a rough framework 170 00:08:25,560 --> 00:08:28,440 Speaker 1: that leagues and teams and players can use when they're 171 00:08:28,440 --> 00:08:34,000 Speaker 1: debating all these different aspects forwards cooks in the yeah, yeah, 172 00:08:34,000 --> 00:08:37,559 Speaker 1: and it's it's it's perfectly indicative of how difficult these 173 00:08:37,559 --> 00:08:39,840 Speaker 1: conversations are going to be, right because the guy who's 174 00:08:39,840 --> 00:08:41,680 Speaker 1: sitting on that panel from the NFL and the person 175 00:08:41,720 --> 00:08:44,160 Speaker 1: sitting on that panel from the NFL p A are 176 00:08:44,160 --> 00:08:46,280 Speaker 1: gonna have different opinions, right, and then they're probably never 177 00:08:46,280 --> 00:08:49,080 Speaker 1: gonna see eye to eye on the on exactly the 178 00:08:49,200 --> 00:08:51,920 Speaker 1: right way to balance, you know, data that comes out 179 00:08:51,960 --> 00:08:54,840 Speaker 1: of shoulder pads or data, biometric data, whatever it is 180 00:08:55,200 --> 00:08:59,000 Speaker 1: that's coming off of NFL players, how do you balance monetizing? 181 00:08:59,120 --> 00:09:01,200 Speaker 1: Don't forget they're all going back to their attorneys as well. 182 00:09:01,240 --> 00:09:03,520 Speaker 1: They're in health councils, is saying how can this be 183 00:09:03,679 --> 00:09:07,679 Speaker 1: used against us? Let's say, I don't know if should 184 00:09:07,679 --> 00:09:10,160 Speaker 1: there ever be a problem with head trauma in sports? 185 00:09:10,160 --> 00:09:13,320 Speaker 1: If that should ever, you know, happen. Now you know 186 00:09:13,400 --> 00:09:17,679 Speaker 1: how fast the collisions were, You could measure who knows 187 00:09:17,720 --> 00:09:21,760 Speaker 1: whatever biochemistry telling you that maybe something wasn't right. You know, 188 00:09:21,800 --> 00:09:24,240 Speaker 1: the lawyers have to have it. Take the NFL right now, 189 00:09:24,520 --> 00:09:27,080 Speaker 1: Through the r F I D chips, they get player 190 00:09:27,160 --> 00:09:29,839 Speaker 1: location twelve times a second. All right, that's the main 191 00:09:29,920 --> 00:09:32,559 Speaker 1: data source that they get. Obviously, that tells you speed, 192 00:09:32,600 --> 00:09:34,760 Speaker 1: that shows you to change the direction. They get impact. 193 00:09:34,840 --> 00:09:36,800 Speaker 1: They're just not sharing the in You get the impact 194 00:09:36,880 --> 00:09:40,040 Speaker 1: number just by you know, calculating that. Let's see what 195 00:09:40,080 --> 00:09:42,440 Speaker 1: I don't understand, and this is all encompassing what we 196 00:09:42,440 --> 00:09:46,240 Speaker 1: were talking about earlier, is that listen it. What's different 197 00:09:46,440 --> 00:09:50,240 Speaker 1: because players do not want this information going out so 198 00:09:50,280 --> 00:09:52,439 Speaker 1: it could be used against him. Well, what's different than 199 00:09:52,520 --> 00:09:56,400 Speaker 1: holding a stop watch on an athlete and you see 200 00:09:56,440 --> 00:09:58,800 Speaker 1: that the athlete is maybe two tenths or three tenths 201 00:09:58,840 --> 00:10:00,920 Speaker 1: lower than what he used to be. Well, you're just 202 00:10:01,000 --> 00:10:03,800 Speaker 1: drilling down into things you could not even imagine before 203 00:10:04,120 --> 00:10:06,960 Speaker 1: that you can now measure things that you wouldn't have known. 204 00:10:07,000 --> 00:10:10,760 Speaker 1: I mean, we're talking blood testing and measuring all sorts 205 00:10:10,800 --> 00:10:14,360 Speaker 1: of things that you can say you can run faster longer. 206 00:10:14,760 --> 00:10:16,920 Speaker 1: We'd rather have you as a player because you're less 207 00:10:16,960 --> 00:10:19,959 Speaker 1: likely to get injured because of X or Y. I mean, 208 00:10:20,679 --> 00:10:25,320 Speaker 1: just another sense of what's different this This the stuff 209 00:10:25,320 --> 00:10:28,160 Speaker 1: being taken off of Let's take out Ezekiel Elliott, who's 210 00:10:28,200 --> 00:10:30,480 Speaker 1: playing in the playoffs this weekend. Um, the stuff being 211 00:10:30,480 --> 00:10:32,120 Speaker 1: taken the data being taken off the chip and his 212 00:10:32,160 --> 00:10:34,559 Speaker 1: shoulder pads goes to his team, All right, that does 213 00:10:34,600 --> 00:10:36,280 Speaker 1: not go to him. I don't I'm not even sure 214 00:10:36,280 --> 00:10:38,920 Speaker 1: if he would be allowed to wear a device for himself, 215 00:10:39,760 --> 00:10:41,679 Speaker 1: you know. So, so all the data that comes off 216 00:10:41,720 --> 00:10:44,199 Speaker 1: of him is being able to be used by the Cowboys, 217 00:10:44,440 --> 00:10:46,400 Speaker 1: certainly to help him and to help the team. But 218 00:10:46,520 --> 00:10:49,480 Speaker 1: let's say, come contract negotiation time, they've got a wealth 219 00:10:49,480 --> 00:10:53,600 Speaker 1: of data that they can cherry pick. Goes down well 220 00:10:53,640 --> 00:10:55,679 Speaker 1: of times a second of every time he carried the 221 00:10:55,720 --> 00:10:58,480 Speaker 1: ball this year. And if his agent is only allowed 222 00:10:58,520 --> 00:11:01,520 Speaker 1: to use a stop watch and and go through game tape, 223 00:11:02,000 --> 00:11:05,640 Speaker 1: you're talking about a two very different planes of discussion. 224 00:11:06,200 --> 00:11:09,760 Speaker 1: Let's move on now to how in the world is 225 00:11:09,800 --> 00:11:13,800 Speaker 1: first of all, lose ten million dollars hosting the college 226 00:11:13,800 --> 00:11:17,920 Speaker 1: football title game. But you know the old saying they'll 227 00:11:17,960 --> 00:11:19,560 Speaker 1: make it up on the back end. Yeah, Well, they 228 00:11:19,600 --> 00:11:21,280 Speaker 1: have to foot the bill for the entire game that 229 00:11:21,360 --> 00:11:23,080 Speaker 1: was that was their deals, So they have to foot 230 00:11:23,080 --> 00:11:24,640 Speaker 1: the bill for staging this, and then of course they 231 00:11:24,679 --> 00:11:26,840 Speaker 1: do get the right to sell some sponsorships and and 232 00:11:26,920 --> 00:11:29,040 Speaker 1: those sorts of things. So if you just look at 233 00:11:29,040 --> 00:11:31,600 Speaker 1: it as a standalone, one off event, they come off 234 00:11:31,640 --> 00:11:36,520 Speaker 1: as losing money. I think it cost and ten million 235 00:11:36,760 --> 00:11:41,400 Speaker 1: they thought they get back exactly, So they do benefit. However, 236 00:11:41,440 --> 00:11:47,480 Speaker 1: by staging these large scale, high profile events at their stadium, 237 00:11:47,800 --> 00:11:50,199 Speaker 1: they will bring more customers in. Next time they will 238 00:11:50,240 --> 00:11:53,600 Speaker 1: be other events where they have a better deal in 239 00:11:53,640 --> 00:11:55,960 Speaker 1: which they can monetize. So I was a one off. 240 00:11:56,240 --> 00:11:57,880 Speaker 1: But why you know, you can't just look at these 241 00:11:57,880 --> 00:11:59,559 Speaker 1: things and one off you're looking at is why do 242 00:11:59,640 --> 00:12:01,960 Speaker 1: we host? Then this is great promotion for the stadium, 243 00:12:02,120 --> 00:12:06,000 Speaker 1: bringing more people, bringing more events down the road, enable length, 244 00:12:06,040 --> 00:12:09,000 Speaker 1: the better monetized. Yeah, it's Levi Stadium, right. Levi paid 245 00:12:09,040 --> 00:12:11,280 Speaker 1: a lot of money to put its name on that stadium. 246 00:12:11,520 --> 00:12:14,439 Speaker 1: And when you do those negotiations, I'm sure the stadium 247 00:12:14,480 --> 00:12:17,120 Speaker 1: authority was saying, listen, we've got the biggest college football 248 00:12:17,120 --> 00:12:20,640 Speaker 1: game of the year coming in. Uh, you know, that's 249 00:12:20,679 --> 00:12:23,520 Speaker 1: part of the conversation. So so when you calculate these dollars, 250 00:12:24,040 --> 00:12:27,040 Speaker 1: obviously the money Levi is paying that you can't portion 251 00:12:27,080 --> 00:12:29,000 Speaker 1: out exactly what goes to the fact that they're having 252 00:12:29,000 --> 00:12:31,079 Speaker 1: the biggest part of the most watch cable event of 253 00:12:31,120 --> 00:12:32,959 Speaker 1: the year. But part of the reason they did is 254 00:12:33,000 --> 00:12:35,120 Speaker 1: because it's there. So there's a lot of certainly from 255 00:12:35,120 --> 00:12:37,920 Speaker 1: a sponsorship, certainly from a future event, certainly from just 256 00:12:37,960 --> 00:12:41,280 Speaker 1: a name recognition. There's so much ancillary benefit to doing 257 00:12:41,320 --> 00:12:43,760 Speaker 1: it that they're believing it works out. And I'm actually curious. 258 00:12:43,760 --> 00:12:46,480 Speaker 1: I don't know. It may be true that every stadium 259 00:12:46,559 --> 00:12:50,000 Speaker 1: just on the hosting of an event like this ends 260 00:12:50,080 --> 00:12:51,880 Speaker 1: up in the red. I don't know what the actual 261 00:12:51,880 --> 00:12:53,840 Speaker 1: thing is. Yeah, but one quick thing about it, didn't 262 00:12:53,840 --> 00:12:58,120 Speaker 1: the ratings go down this year for the National title game. 263 00:12:58,240 --> 00:13:00,480 Speaker 1: They went down a bit, but I mean, if you 264 00:13:00,520 --> 00:13:02,839 Speaker 1: watch the game, it was it was a blowout pretty 265 00:13:02,840 --> 00:13:06,120 Speaker 1: pretty obviously. Um. And also there's some fatigue about the 266 00:13:06,120 --> 00:13:08,480 Speaker 1: two teams Clemson Alabama have played four times in the 267 00:13:08,520 --> 00:13:12,560 Speaker 1: last four playoffs. Um. But this is still from a 268 00:13:12,600 --> 00:13:15,240 Speaker 1: cable standpoint, this is a giant on the cable schedule 269 00:13:15,280 --> 00:13:18,280 Speaker 1: every year. It's the most watch cable show every year. 270 00:13:18,320 --> 00:13:21,360 Speaker 1: I believe this year, even though ratings went down, I 271 00:13:21,360 --> 00:13:24,840 Speaker 1: believe that will be no different. Clemson quarterback Trevor Lawrence, 272 00:13:24,880 --> 00:13:28,040 Speaker 1: by the way, he's got locks like you. He's getting right, 273 00:13:30,720 --> 00:13:32,880 Speaker 1: blows me out of the water, maybe, but he doesn't 274 00:13:32,880 --> 00:13:36,599 Speaker 1: man and he lets it rich one player where he 275 00:13:36,600 --> 00:13:41,640 Speaker 1: took his helmet off and flipped in the same motion. No, no, 276 00:13:42,120 --> 00:13:44,319 Speaker 1: I mean, yeah, too bad. We're not simulcast. Evans got 277 00:13:44,320 --> 00:13:49,040 Speaker 1: his man bun again. He's Patrick Rafter once again. It 278 00:13:49,080 --> 00:13:52,240 Speaker 1: works for Patrick Rafter, works for me to Okay, if 279 00:13:52,240 --> 00:13:54,200 Speaker 1: you have to say it about yourself, how many compliments 280 00:13:54,200 --> 00:13:58,160 Speaker 1: to day do you get? Um, somewhere between zero and zero? 281 00:13:58,559 --> 00:14:00,200 Speaker 1: Is it right in between that we don't need need 282 00:14:00,320 --> 00:14:03,040 Speaker 1: We don't need any any compliment tracking device for this. 283 00:14:03,559 --> 00:14:05,760 Speaker 1: It's it's just zero. But you know what's cool by 284 00:14:05,800 --> 00:14:07,520 Speaker 1: the way, I mean, I mean, I know we gotta 285 00:14:07,520 --> 00:14:09,800 Speaker 1: talk about let's do let's do Clemson's quarterback first, and 286 00:14:09,800 --> 00:14:12,120 Speaker 1: then we're gonna get something cool. No, well, I just 287 00:14:12,160 --> 00:14:14,760 Speaker 1: think he is in life to make a lot of 288 00:14:14,800 --> 00:14:17,360 Speaker 1: money when he's all set and the only problem is 289 00:14:17,360 --> 00:14:20,680 Speaker 1: he's prime right now, get hurt first, like you could know, 290 00:14:20,760 --> 00:14:22,560 Speaker 1: you know what makes most sense for him? And Evan 291 00:14:22,600 --> 00:14:24,280 Speaker 1: and I talked about this off fair if he said 292 00:14:24,360 --> 00:14:27,240 Speaker 1: I'm done with college football. Now you go go work 293 00:14:27,280 --> 00:14:30,600 Speaker 1: with your coat, your one on one coaching specialist. And 294 00:14:30,640 --> 00:14:33,000 Speaker 1: I thought, how great would it be if he could 295 00:14:33,080 --> 00:14:36,800 Speaker 1: have an internship with an NFL team where he for 296 00:14:36,840 --> 00:14:40,400 Speaker 1: two years would sit in on meetings, would learn the game, 297 00:14:40,440 --> 00:14:42,640 Speaker 1: would watch and learn, and and all the NFL folks 298 00:14:42,640 --> 00:14:45,200 Speaker 1: that that's great for quarterbacks actually watch and learn. But 299 00:14:45,240 --> 00:14:47,320 Speaker 1: he'd been doing it in college time. He wouldn't be 300 00:14:47,360 --> 00:14:51,760 Speaker 1: taking hits in college. That would be the best scenario 301 00:14:51,840 --> 00:14:53,840 Speaker 1: for him, for a team to take him and say, 302 00:14:53,880 --> 00:14:55,520 Speaker 1: come to you can practice with it. Sure you'll be 303 00:14:55,560 --> 00:14:58,920 Speaker 1: an intern. You're going to be a football intern. Then, 304 00:14:58,920 --> 00:15:02,200 Speaker 1: when he's eligible for the d aft light years ahead 305 00:15:02,240 --> 00:15:03,720 Speaker 1: of where he would have been. For those out there 306 00:15:03,720 --> 00:15:05,680 Speaker 1: who are a little confused as to why a guy 307 00:15:05,720 --> 00:15:07,720 Speaker 1: who looks like he might be NFL ready and and 308 00:15:07,760 --> 00:15:10,440 Speaker 1: scouts are saying would be the consensus number one pick 309 00:15:10,480 --> 00:15:12,760 Speaker 1: if he were in the NFL draft right now, is 310 00:15:12,760 --> 00:15:16,000 Speaker 1: not allowed to do that. NFL rules state that you 311 00:15:16,080 --> 00:15:18,120 Speaker 1: have to be three years removed from your high school 312 00:15:18,160 --> 00:15:20,840 Speaker 1: graduating class to enter the NFL draft. He is a 313 00:15:20,880 --> 00:15:23,160 Speaker 1: true freshman, which means he has at least two more 314 00:15:23,240 --> 00:15:26,160 Speaker 1: years to go before he's eligibility enter the NFL, agreed 315 00:15:26,200 --> 00:15:28,120 Speaker 1: to by the way, by the union negotiated in the 316 00:15:28,120 --> 00:15:31,880 Speaker 1: CBA union and so and something that likely is not 317 00:15:31,880 --> 00:15:34,840 Speaker 1: not going to be changed at least, you know, the 318 00:15:34,920 --> 00:15:36,920 Speaker 1: NBA went to the one year ruld, the one and done, 319 00:15:36,960 --> 00:15:39,000 Speaker 1: they had one year removed from high school the NFL. 320 00:15:39,080 --> 00:15:42,400 Speaker 1: Part of the reasoning for the NFL is just a 321 00:15:42,480 --> 00:15:45,280 Speaker 1: maturity thing, a body maturity thing. They did not think 322 00:15:45,720 --> 00:15:48,480 Speaker 1: that eighteen nineteen year old kids, even though these are 323 00:15:48,560 --> 00:15:53,280 Speaker 1: large guys, are ready to compete against NFL size men 324 00:15:53,440 --> 00:15:55,520 Speaker 1: and every cup. Unlike the NBA, where it seems like 325 00:15:55,560 --> 00:15:58,080 Speaker 1: every year there were people high schoolers who were eligible 326 00:15:58,120 --> 00:16:00,760 Speaker 1: and we're we're you know, contributing there in their rookie 327 00:16:00,840 --> 00:16:02,920 Speaker 1: years in the NBA. In the NFL, i'd say once 328 00:16:02,960 --> 00:16:05,520 Speaker 1: every two or three years, Geneveon Clowney felt like the 329 00:16:05,600 --> 00:16:08,040 Speaker 1: last one, the last guy who was a high schooler 330 00:16:08,080 --> 00:16:10,760 Speaker 1: who scouts said this guy would be playing, would be 331 00:16:10,760 --> 00:16:12,640 Speaker 1: a high draft pick right now if he was eligible. 332 00:16:12,640 --> 00:16:16,080 Speaker 1: All right, I'm gonna give a special number of the week. Yeah, 333 00:16:16,480 --> 00:16:18,240 Speaker 1: we don't normally do the number of the week. Two 334 00:16:18,280 --> 00:16:23,320 Speaker 1: hundred and fifty million million your bank account. I wish 335 00:16:23,880 --> 00:16:26,000 Speaker 1: Evan you should know this. I should know you couldn't 336 00:16:26,000 --> 00:16:29,560 Speaker 1: know this. I should know that is Dabos bonus for 337 00:16:31,040 --> 00:16:35,200 Speaker 1: being number of dollars that Jerry Jones paid for this 338 00:16:35,360 --> 00:16:42,080 Speaker 1: mega yacht. Yeah. Now I measured these things against like 339 00:16:42,200 --> 00:16:45,040 Speaker 1: Larry Ellison and Paul Paul outen head and we were joking. 340 00:16:45,080 --> 00:16:47,320 Speaker 1: We saw the picture of the yacht, which he named 341 00:16:47,320 --> 00:16:50,240 Speaker 1: after his wife have guys, but I couldn't tell Like, 342 00:16:50,400 --> 00:16:52,600 Speaker 1: we're like, is there a Hella pad on there? We didn't. 343 00:16:52,640 --> 00:16:54,080 Speaker 1: I didn't see the hell of pad has to be 344 00:16:54,120 --> 00:16:56,680 Speaker 1: a hell at Papen was like, there has How do 345 00:16:56,720 --> 00:16:58,280 Speaker 1: you get on this thing? I'm like, you go to 346 00:16:58,320 --> 00:17:00,200 Speaker 1: the part. He's like, there's no way. You don't go 347 00:17:00,240 --> 00:17:02,680 Speaker 1: to the port. This thing is a helipad. Remember Paul 348 00:17:02,680 --> 00:17:06,760 Speaker 1: Allen's yacht had the submarine and the helipad. Like this, 349 00:17:06,960 --> 00:17:08,480 Speaker 1: he needs a football field on the right. I want 350 00:17:08,480 --> 00:17:10,560 Speaker 1: to be kicking field goals through the h and into 351 00:17:10,600 --> 00:17:13,800 Speaker 1: the ocean. Just boom boom. Or if you're the Chicago 352 00:17:13,840 --> 00:17:19,400 Speaker 1: bears off the thing and stays on the boat. Sorry everybody, 353 00:17:23,280 --> 00:17:25,800 Speaker 1: by the way, the NFL, you know what really codey 354 00:17:25,840 --> 00:17:28,919 Speaker 1: Parky bless his art. The NFL kind of bailed him 355 00:17:28,920 --> 00:17:32,920 Speaker 1: out because they said somebody in Philly got a hand 356 00:17:32,960 --> 00:17:36,360 Speaker 1: on that play and that's why it clinked off the upright, 357 00:17:36,920 --> 00:17:40,000 Speaker 1: then the crossbar and then hit the ground. Did that 358 00:17:40,000 --> 00:17:44,040 Speaker 1: bail him? Ount it happen up. I gotta make the kick. 359 00:17:44,080 --> 00:17:45,480 Speaker 1: You gotta get it over the head now. But I 360 00:17:45,520 --> 00:17:50,679 Speaker 1: mean at least Jerry Jones. But if Jerry Jones is listening, 361 00:17:50,720 --> 00:17:54,280 Speaker 1: I would like the full on tour of that. Wants 362 00:17:54,280 --> 00:17:56,000 Speaker 1: to see the helipad. I want to see the helipad. 363 00:17:56,040 --> 00:17:58,400 Speaker 1: I want to I just imagine the amenities. Like also 364 00:17:58,480 --> 00:17:59,960 Speaker 1: know a guy who had a boat done in Tampa 365 00:18:00,160 --> 00:18:03,640 Speaker 1: and what the grain of woold you pick for everything? 366 00:18:03,800 --> 00:18:05,520 Speaker 1: I mean it was a long process and this was 367 00:18:05,560 --> 00:18:09,480 Speaker 1: like a thirty two ft gritty. Imagine the process of 368 00:18:09,520 --> 00:18:13,320 Speaker 1: this two D and fifty you are picking out everything 369 00:18:13,920 --> 00:18:16,760 Speaker 1: for that. Shad con no longer has the richest let 370 00:18:17,040 --> 00:18:24,720 Speaker 1: among Shad will be upgrading within six He bad because 371 00:18:24,760 --> 00:18:27,720 Speaker 1: there's just a landing strip on it. Uh. Now you 372 00:18:27,800 --> 00:18:30,640 Speaker 1: have envy. This is the Bloomberg Business of Sports podcast, 373 00:18:30,720 --> 00:18:34,480 Speaker 1: not Michael Barr along with Scott and we're here each 374 00:18:34,520 --> 00:18:36,919 Speaker 1: and every Monday, Wednesday and Thursday exploring the world of 375 00:18:36,960 --> 00:18:38,560 Speaker 1: money in sports. Join us again at the end of 376 00:18:38,560 --> 00:18:40,800 Speaker 1: the week when we speak with Brian Rolapp, who runs 377 00:18:40,840 --> 00:18:43,040 Speaker 1: media at the NFL. A lot of big dollars there. 378 00:18:43,320 --> 00:18:46,040 Speaker 1: This is Bloomberg Business of Sports on Bloomberg Radio around 379 00:18:46,080 --> 00:18:49,560 Speaker 1: the world and online wherever you get your podcasts.