1 00:00:02,320 --> 00:00:05,400 Speaker 1: Hello, I'm Michael and I'm Scott. Every week at this 2 00:00:05,480 --> 00:00:08,520 Speaker 1: time plus Mondays and Wednesdays and Thursdays, we explore the 3 00:00:08,640 --> 00:00:11,480 Speaker 1: big money issues in the world of sports. Before going 4 00:00:11,480 --> 00:00:15,920 Speaker 1: on vacation, Evan Noby Williams, our partner, joined us for 5 00:00:16,000 --> 00:00:21,200 Speaker 1: an interview with the sport Radar CEO Carlston. Carl, we'll 6 00:00:21,200 --> 00:00:23,079 Speaker 1: get to that in a few minutes. But we got 7 00:00:23,120 --> 00:00:25,800 Speaker 1: a good substitute. We have a great substitute. We have 8 00:00:25,880 --> 00:00:28,520 Speaker 1: your son. Jackson makes a lot less money than Evan, 9 00:00:28,880 --> 00:00:31,400 Speaker 1: and frankly, I don't think delivers all that much less. 10 00:00:33,440 --> 00:00:42,440 Speaker 1: Hello Jackson, Yeah, better than Evan, Better than Evan. I 11 00:00:42,479 --> 00:00:46,120 Speaker 1: gotta ask you something real quick, Jackson, my son. He 12 00:00:46,240 --> 00:00:50,600 Speaker 1: plays Fortnite too, and he's teaching me how to play Fortnite. Now, 13 00:00:51,200 --> 00:00:54,280 Speaker 1: you play Fortnite, and you're pretty if I'm want to understand, 14 00:00:54,560 --> 00:00:58,000 Speaker 1: pretty good at it. I'm pretty decent. Not that I 15 00:00:58,000 --> 00:01:00,320 Speaker 1: watched and you finished in forty nine place this morning? 16 00:01:00,600 --> 00:01:03,400 Speaker 1: Is that good? All right? Well, that's what I saw 17 00:01:03,480 --> 00:01:07,760 Speaker 1: him there. We're gonna get back a fortnight later. Let's 18 00:01:07,760 --> 00:01:12,800 Speaker 1: start with uh, Kobe Bryant and an investment. He made 19 00:01:12,840 --> 00:01:15,520 Speaker 1: a nice investment. Let's put it that way, talk about 20 00:01:15,560 --> 00:01:18,679 Speaker 1: return on investment bar and this all goes back to 21 00:01:18,840 --> 00:01:21,440 Speaker 1: sort of that event I was at in San Francisco 22 00:01:21,880 --> 00:01:25,840 Speaker 1: Athletes Tech Venture. Remember the old days. This would have 23 00:01:25,880 --> 00:01:29,440 Speaker 1: been in the old days, Kobe saying, pay me a 24 00:01:29,480 --> 00:01:32,280 Speaker 1: couple of million dollars. I'll go on TV do a 25 00:01:32,319 --> 00:01:35,679 Speaker 1: commercial for body armor and maybe people will drink it. 26 00:01:35,760 --> 00:01:38,080 Speaker 1: Maybe people won't. No, no, no, it's not it works 27 00:01:38,080 --> 00:01:41,560 Speaker 1: these days. Now, it's give me equity. You don't have 28 00:01:41,640 --> 00:01:44,160 Speaker 1: to pay me as much, but I want equity in 29 00:01:44,160 --> 00:01:47,440 Speaker 1: the company, and if it pays off, it pays off. 30 00:01:47,440 --> 00:01:51,000 Speaker 1: So Kobe's investment in this was about six million dollars. 31 00:01:51,560 --> 00:01:54,920 Speaker 1: Guess what is his steak is worth nowadays post Coca 32 00:01:55,000 --> 00:01:59,840 Speaker 1: Cola investment more than thirty times two hundred million. This 33 00:02:00,120 --> 00:02:02,400 Speaker 1: is the kind of ways, or one of the ways 34 00:02:02,440 --> 00:02:05,040 Speaker 1: in which these athletes can generate, the kind of wealth 35 00:02:05,440 --> 00:02:09,640 Speaker 1: where they fulfill the dream of not just being rich, 36 00:02:09,800 --> 00:02:14,880 Speaker 1: not just flying on private planes, but ownership of teams. 37 00:02:15,480 --> 00:02:20,440 Speaker 1: Magic Johnson, Michael Jordan's You're going to see more and 38 00:02:20,560 --> 00:02:24,560 Speaker 1: more athletes in their post playing days be part of 39 00:02:24,600 --> 00:02:28,760 Speaker 1: ownership groups, be general partners of ownership groups, because they 40 00:02:28,800 --> 00:02:31,520 Speaker 1: can generate this kind of wealth. He is the fourth 41 00:02:31,560 --> 00:02:34,400 Speaker 1: and largest investor in this brand, right, Yeah, that's exactly 42 00:02:34,440 --> 00:02:37,120 Speaker 1: where he stands. And if I mean again, this is 43 00:02:37,680 --> 00:02:40,000 Speaker 1: an investment from Coke. Let's see where it goes from here. 44 00:02:40,040 --> 00:02:44,120 Speaker 1: If it builds further more money for Kobe. Let's move 45 00:02:44,160 --> 00:02:48,600 Speaker 1: on to La Liga and the US joint venture involved. 46 00:02:48,600 --> 00:02:51,080 Speaker 1: What is that all about? Well, you and I always 47 00:02:51,120 --> 00:02:53,680 Speaker 1: talk about soccer in this country. You're a now believer, right, 48 00:02:54,600 --> 00:02:56,560 Speaker 1: We swung you and we do wonder in MLS. We 49 00:02:56,600 --> 00:02:59,839 Speaker 1: still wonder about the underpinnings of the valuations on these 50 00:02:59,840 --> 00:03:03,360 Speaker 1: teams because the broadcast contract is not there. Let's see 51 00:03:03,360 --> 00:03:05,840 Speaker 1: when it's up what it becomes. In an ot T 52 00:03:06,000 --> 00:03:10,160 Speaker 1: world where everybody's fighting for significant content, Let's see what 53 00:03:10,200 --> 00:03:13,120 Speaker 1: it becomes. But again, Jackson, Saturday mornings, do you like 54 00:03:13,200 --> 00:03:17,080 Speaker 1: watching the European Soccer League the English Premier League? Ye? Yeah, 55 00:03:17,120 --> 00:03:18,680 Speaker 1: so that's one of the things you like. Do you 56 00:03:18,720 --> 00:03:22,000 Speaker 1: like going to see Red Bull and NYCFC? Yep, there's noir, 57 00:03:22,080 --> 00:03:24,519 Speaker 1: nine year old. Yes, he likes to do these things too. 58 00:03:24,600 --> 00:03:26,720 Speaker 1: That's all you needed to hear though. Yep and yep. 59 00:03:27,440 --> 00:03:31,919 Speaker 1: And that's why these companies are investing in bringing teams 60 00:03:31,960 --> 00:03:34,240 Speaker 1: over here because the best players in the world, and 61 00:03:34,280 --> 00:03:37,400 Speaker 1: even MLS they understand this is going to be about 62 00:03:37,800 --> 00:03:41,200 Speaker 1: can you bring the best players into this league. That's 63 00:03:41,200 --> 00:03:44,040 Speaker 1: where the eyeballs are. Now let's talk about that though, 64 00:03:44,240 --> 00:03:48,280 Speaker 1: bringing the best into this which is something the US 65 00:03:48,520 --> 00:03:51,320 Speaker 1: has had a bit of an issue with because the 66 00:03:51,400 --> 00:03:56,240 Speaker 1: best football players have played overseas. But that is starting 67 00:03:56,240 --> 00:03:59,119 Speaker 1: to shift. Now, Yeah, you're starting to see I mean 68 00:03:59,120 --> 00:04:04,880 Speaker 1: you've have Ebra uh, David via Um. Are these prime 69 00:04:05,000 --> 00:04:07,400 Speaker 1: of their career? No, not yet that but that's not 70 00:04:07,400 --> 00:04:12,120 Speaker 1: where MLS is. Wayne Rooney just came over. So will 71 00:04:12,200 --> 00:04:15,960 Speaker 1: it generate enough revenue at some time? Will the owners 72 00:04:16,560 --> 00:04:20,760 Speaker 1: switch to a model where they can sustain paying the 73 00:04:20,800 --> 00:04:24,719 Speaker 1: top flight players the top salaries that required to bring 74 00:04:24,760 --> 00:04:26,600 Speaker 1: them here. Well, this is a good time to now 75 00:04:26,680 --> 00:04:30,640 Speaker 1: segue into Christian have an easy time with this, I 76 00:04:30,800 --> 00:04:33,960 Speaker 1: know it talking about getting paid. Well, I mean we've 77 00:04:34,000 --> 00:04:38,000 Speaker 1: seen this influencer marketing, marketing and what's the number now 78 00:04:38,120 --> 00:04:42,800 Speaker 1: if you want Ronaldo to put something on Instagram in 79 00:04:42,839 --> 00:04:47,320 Speaker 1: a paid post, seven hundred and fifty thousand dollars per 80 00:04:47,880 --> 00:04:50,960 Speaker 1: how's that? Now? You tell me, Jackson, does this work Ronald. 81 00:04:51,040 --> 00:04:54,000 Speaker 1: What other soccer players do you really like? You? I 82 00:04:54,000 --> 00:04:57,839 Speaker 1: know Christiano Ronaldo, right, who else do you like? I 83 00:04:58,080 --> 00:05:00,880 Speaker 1: myself is not a fan of soccer, but I enjoy 84 00:05:00,960 --> 00:05:05,599 Speaker 1: watching it and playing it. Yeah, but for all my friends, yeah, 85 00:05:05,839 --> 00:05:11,640 Speaker 1: they would say all the big stars MESSI now though, um, yes, 86 00:05:13,960 --> 00:05:16,200 Speaker 1: a whole bunch of people. So if but if Ronaldo 87 00:05:16,320 --> 00:05:19,120 Speaker 1: says I drink coke, you should drink coke too with 88 00:05:19,279 --> 00:05:22,200 Speaker 1: your friends drink coke. I believe so so that that 89 00:05:22,279 --> 00:05:23,880 Speaker 1: but that's why they pay There you go part. I mean, 90 00:05:23,880 --> 00:05:26,560 Speaker 1: I love having this perspective because this is really what 91 00:05:26,600 --> 00:05:29,839 Speaker 1: it's about. He has that kind of thing influence marketing. 92 00:05:30,200 --> 00:05:32,039 Speaker 1: Here you got, I'm telling you, old man Barbara, go 93 00:05:32,080 --> 00:05:35,720 Speaker 1: to Pelee. But that's another story. I would too, but 94 00:05:36,200 --> 00:05:37,760 Speaker 1: you and I are in the same bracket on that one. 95 00:05:38,040 --> 00:05:40,120 Speaker 1: By the way, thank you very much, Jackson. You are 96 00:05:40,600 --> 00:05:44,400 Speaker 1: superb Oh you're welcome. Lots to talk about, as you 97 00:05:44,440 --> 00:05:46,720 Speaker 1: can see this week. So let's move on now to 98 00:05:46,760 --> 00:05:51,400 Speaker 1: our interview with sport Radar CEO Carston. Carl Carston is 99 00:05:51,440 --> 00:05:54,520 Speaker 1: the founder and chief executive officer of sport Radar. A G. 100 00:05:55,040 --> 00:05:58,840 Speaker 1: Carston has strategically led all aspects of sport Radars business 101 00:05:59,120 --> 00:06:01,479 Speaker 1: since found the the group in two thousand one, driving 102 00:06:01,520 --> 00:06:04,080 Speaker 1: the growth of the company from a tech focused startup 103 00:06:04,279 --> 00:06:07,640 Speaker 1: to a global leader in delivering essential sports data and 104 00:06:07,760 --> 00:06:11,360 Speaker 1: audio visual content across a range of platforms and media. 105 00:06:11,800 --> 00:06:15,279 Speaker 1: Prior to founding sport Radar, Carston held a number of 106 00:06:15,320 --> 00:06:19,080 Speaker 1: management positions within the software development and gaming industry. He 107 00:06:19,200 --> 00:06:21,120 Speaker 1: was the founder of b Win and led the company 108 00:06:21,160 --> 00:06:24,440 Speaker 1: through one of the most successful public listings ever undertaken 109 00:06:24,480 --> 00:06:26,600 Speaker 1: on the Vienna stock market. I don't know about you, Bar, 110 00:06:26,640 --> 00:06:28,760 Speaker 1: I'm out of breath though, I'll tell you that much. Carston, 111 00:06:28,839 --> 00:06:31,200 Speaker 1: my friend, thanks for joining us, and let's start with 112 00:06:31,240 --> 00:06:34,080 Speaker 1: saying that. I guess it's appropriate that you're here because 113 00:06:34,120 --> 00:06:36,200 Speaker 1: so much of what sport Radar is looking to do 114 00:06:36,360 --> 00:06:39,719 Speaker 1: is in the United States. Everybody knows sport Radar in Europe. 115 00:06:40,160 --> 00:06:43,400 Speaker 1: The US, though, that's a new frontier for you. Oh look, 116 00:06:43,440 --> 00:06:45,400 Speaker 1: we are looking now since four years here in there 117 00:06:45,400 --> 00:06:47,520 Speaker 1: in the US, so I hope a couple of guys 118 00:06:47,560 --> 00:06:50,240 Speaker 1: a knowing us already. But you're right. So it's an 119 00:06:50,240 --> 00:06:53,479 Speaker 1: exciting market. It's the biggest market we have and it 120 00:06:53,600 --> 00:06:56,040 Speaker 1: is something which we try to attack best we can 121 00:06:56,160 --> 00:06:58,920 Speaker 1: full speed. What are you trying to do? What's what's 122 00:06:58,960 --> 00:07:01,720 Speaker 1: on the to do list? One? You in three? Well, 123 00:07:02,080 --> 00:07:05,240 Speaker 1: the number one is we are technology company UM looking 124 00:07:05,279 --> 00:07:08,360 Speaker 1: to the US. This is the exciting opportunity to use 125 00:07:08,400 --> 00:07:12,080 Speaker 1: technology in an area where we collect data and information 126 00:07:12,360 --> 00:07:15,080 Speaker 1: and assemble this with AI machine learning. I would say 127 00:07:15,360 --> 00:07:18,600 Speaker 1: this is the most important for US UM, underlying in 128 00:07:18,640 --> 00:07:21,440 Speaker 1: all our vertical markets. The second one, as you might know, 129 00:07:21,920 --> 00:07:24,360 Speaker 1: or as you know very well, is the sports betting 130 00:07:24,360 --> 00:07:27,440 Speaker 1: opportunity we had that are people talking about that these days? 131 00:07:28,320 --> 00:07:30,560 Speaker 1: A couple of a couple of guys are speaking about 132 00:07:30,640 --> 00:07:34,160 Speaker 1: this UM. So this is a super exciting market. And 133 00:07:34,200 --> 00:07:36,679 Speaker 1: the third one is that we're saying, well, the media 134 00:07:36,720 --> 00:07:40,840 Speaker 1: industry UM is the biggest piece of it is worldwide 135 00:07:40,880 --> 00:07:43,880 Speaker 1: here in the US, so they need some innovative solutions. 136 00:07:43,920 --> 00:07:46,280 Speaker 1: So these are the three things which are so exciting 137 00:07:46,320 --> 00:07:49,200 Speaker 1: about it. I am holding up my wallet because I 138 00:07:49,240 --> 00:07:55,480 Speaker 1: love gamblet. Yes, I just I could have told you 139 00:07:55,480 --> 00:07:57,920 Speaker 1: you shouldn't do this asking the question. I'm gonna go 140 00:07:57,960 --> 00:08:03,200 Speaker 1: through this down go the whole market. As you mentioned 141 00:08:03,280 --> 00:08:06,600 Speaker 1: about sports gambling, I mean this is huge for the 142 00:08:06,680 --> 00:08:09,360 Speaker 1: US and as you mentioned it's huge for you guys. 143 00:08:09,360 --> 00:08:12,680 Speaker 1: Can you take us more into the tail about what 144 00:08:12,720 --> 00:08:14,480 Speaker 1: it means for you guys? While get my wallet back 145 00:08:14,480 --> 00:08:21,760 Speaker 1: from Scott, I think you lost that. Look. I think um. 146 00:08:22,200 --> 00:08:25,880 Speaker 1: The overall assumption is um and that is a common 147 00:08:25,960 --> 00:08:29,280 Speaker 1: understanding worldwide. The US is probably a third of the 148 00:08:29,320 --> 00:08:33,320 Speaker 1: worldwide sports batting market. Um. And as we all know, 149 00:08:33,800 --> 00:08:36,120 Speaker 1: that was it was not allowed to do sports batting 150 00:08:36,160 --> 00:08:38,560 Speaker 1: in the US, and we had some channels where the 151 00:08:38,559 --> 00:08:40,960 Speaker 1: money was flowing outside of the country. So we have 152 00:08:41,080 --> 00:08:44,240 Speaker 1: some feeling about this. What has happened worldwide? Looking now 153 00:08:44,280 --> 00:08:48,400 Speaker 1: into the regulation opportunity, well, I can't see any other 154 00:08:48,440 --> 00:08:51,240 Speaker 1: industry in the world looking to the size and to 155 00:08:51,320 --> 00:08:54,760 Speaker 1: the regulation which is opening up from one moment to another. 156 00:08:54,920 --> 00:08:57,360 Speaker 1: And this is the exciting time. So people speaking about 157 00:08:57,640 --> 00:09:00,520 Speaker 1: a market volume of a fifteen billion or two billion, 158 00:09:00,640 --> 00:09:03,839 Speaker 1: I'm telling g guy, so this is the grass gaming yield. 159 00:09:04,160 --> 00:09:07,199 Speaker 1: Some others are saying it's only ten billion. But given 160 00:09:07,240 --> 00:09:11,040 Speaker 1: that size ten to twenty billion, you know, developed market 161 00:09:11,040 --> 00:09:13,400 Speaker 1: which is opening up from one moment to another. I 162 00:09:13,480 --> 00:09:16,000 Speaker 1: have not many samples worldwide where you see that volume. 163 00:09:16,240 --> 00:09:18,440 Speaker 1: Why is the US a third of the of the 164 00:09:18,480 --> 00:09:21,280 Speaker 1: global betting market. Is it because the sports here are 165 00:09:21,280 --> 00:09:25,040 Speaker 1: so ingrained in the population. Isn't the technology the infrastructure. Well, 166 00:09:25,160 --> 00:09:27,599 Speaker 1: look at said it's a mixed um. Uh. If you 167 00:09:27,679 --> 00:09:31,800 Speaker 1: look now to to the US sports fans, um, they're 168 00:09:31,840 --> 00:09:34,439 Speaker 1: pretty unique if it comes to how they see data 169 00:09:34,440 --> 00:09:37,640 Speaker 1: and information around sports. So the depths and breath of 170 00:09:37,720 --> 00:09:39,959 Speaker 1: the data is pretty unique in the US. When I'm 171 00:09:40,000 --> 00:09:43,520 Speaker 1: walking here on the street, I see sports information everywhere. 172 00:09:43,600 --> 00:09:46,280 Speaker 1: If you open your eyes, you see data, you see tickets, 173 00:09:46,320 --> 00:09:48,240 Speaker 1: you see that everywhere on the street in New York. 174 00:09:48,640 --> 00:09:51,080 Speaker 1: I don't have any comparison world. But and then traveling 175 00:09:51,080 --> 00:09:55,440 Speaker 1: two days every year in many cities where you have 176 00:09:55,559 --> 00:09:58,480 Speaker 1: that feeding sport, the rate data is really part of 177 00:09:58,520 --> 00:10:02,679 Speaker 1: the society. Having it being part of the society means 178 00:10:02,760 --> 00:10:05,600 Speaker 1: people are very much up in predictions, very much up 179 00:10:05,640 --> 00:10:09,360 Speaker 1: into challenging their few about it, discussing it. And this 180 00:10:09,480 --> 00:10:11,839 Speaker 1: is I think making the ingredients for being a perfect 181 00:10:11,880 --> 00:10:14,000 Speaker 1: sports betting mark. Let's think about what Carston just said 182 00:10:14,040 --> 00:10:15,800 Speaker 1: that you have to laugh. I mean, you are really 183 00:10:15,840 --> 00:10:18,560 Speaker 1: into your your business when you can walk the streets 184 00:10:18,559 --> 00:10:21,280 Speaker 1: of New York and what you see is sports data. Yes, 185 00:10:21,640 --> 00:10:23,120 Speaker 1: there's a lot of things on the streets in New 186 00:10:23,160 --> 00:10:26,679 Speaker 1: York and you're picking out sports data opportunities. It's so different, uh, 187 00:10:26,840 --> 00:10:29,880 Speaker 1: And that's the that's the exciting thing. A lot of 188 00:10:29,880 --> 00:10:31,800 Speaker 1: the things you just said also sound like they are 189 00:10:31,920 --> 00:10:34,920 Speaker 1: ingrained in in China, in Japan and Korea. What about 190 00:10:34,920 --> 00:10:38,760 Speaker 1: the Asian opportunity. Obviously laws are not as defined over 191 00:10:38,800 --> 00:10:40,760 Speaker 1: there as they have been in Europe, and maybe we'll 192 00:10:40,800 --> 00:10:44,000 Speaker 1: be in the US moving forward. Well, Look, um, Asia 193 00:10:44,200 --> 00:10:48,240 Speaker 1: is UH is for me personally a big obstacle and 194 00:10:48,880 --> 00:10:53,360 Speaker 1: it is something where is frustrating. That absolutely not absolutely not. 195 00:10:53,520 --> 00:10:56,000 Speaker 1: It's a it's a challenge, and it's a it's a 196 00:10:56,000 --> 00:11:00,880 Speaker 1: big opportunity. But I think understanding China is um is 197 00:11:00,920 --> 00:11:06,040 Speaker 1: something I prefer first to be successful in America before 198 00:11:06,160 --> 00:11:08,880 Speaker 1: I try to begin to understand what is ongoing in China. 199 00:11:08,960 --> 00:11:11,160 Speaker 1: We are dipping with our toe there into the water. 200 00:11:11,600 --> 00:11:14,240 Speaker 1: But this is something where we have to work very 201 00:11:14,240 --> 00:11:17,320 Speaker 1: intensively in the next year. So our mission now is 202 00:11:17,400 --> 00:11:20,280 Speaker 1: focusing on the US and get that right. A couple 203 00:11:20,280 --> 00:11:22,240 Speaker 1: of couple of months ago now, as a lot of 204 00:11:22,240 --> 00:11:24,280 Speaker 1: our viewers know, as you know, the Supreme Court made 205 00:11:24,320 --> 00:11:29,000 Speaker 1: a pretty monumental decision allowing States what was that? What 206 00:11:29,080 --> 00:11:31,520 Speaker 1: was that day like at sport Radar offices. Were you 207 00:11:31,520 --> 00:11:39,200 Speaker 1: guys popping champagne? Did you well, you need to look 208 00:11:39,200 --> 00:11:41,920 Speaker 1: at you get your wallet back from Scott another opportunity 209 00:11:41,960 --> 00:11:46,079 Speaker 1: to lose his money. No, it was a very normal 210 00:11:46,160 --> 00:11:50,520 Speaker 1: working day. So what you do is, um, what we 211 00:11:50,640 --> 00:11:53,840 Speaker 1: had at this time is we had a schedule and 212 00:11:53,880 --> 00:11:56,960 Speaker 1: saying the Supreme Court is deciding on a Monday, or 213 00:11:57,000 --> 00:11:59,240 Speaker 1: on a Wednesday or on a Friday, and we had 214 00:11:59,280 --> 00:12:01,920 Speaker 1: all that dates in I schedule, knowing that the decision 215 00:12:02,000 --> 00:12:05,480 Speaker 1: might come on one of those days. And surprisingly, um, 216 00:12:05,520 --> 00:12:08,199 Speaker 1: to our surprise, it has happened quicker than we thought. 217 00:12:08,240 --> 00:12:11,520 Speaker 1: We anticipated the Supreme Court might decide at the end 218 00:12:11,520 --> 00:12:14,520 Speaker 1: of the term, but they decided quite on the beginning, 219 00:12:14,640 --> 00:12:17,800 Speaker 1: which was the only surprise. The rest is, of course 220 00:12:17,800 --> 00:12:20,680 Speaker 1: you're prepared for those things, and of course it's a 221 00:12:20,720 --> 00:12:23,960 Speaker 1: long term plan over three years which we execute there. 222 00:12:24,320 --> 00:12:26,679 Speaker 1: So that was only a question of some days or 223 00:12:26,720 --> 00:12:31,000 Speaker 1: weeks to get that decision. We're speaking with Carlston, carl 224 00:12:31,080 --> 00:12:34,520 Speaker 1: the CEO of Sports Radar. Can we break down the 225 00:12:34,640 --> 00:12:37,720 Speaker 1: data that you provide because it's for many sports, for 226 00:12:37,920 --> 00:12:43,760 Speaker 1: the NFL, for the NHL, for NASCAR's we know nothing 227 00:12:43,800 --> 00:12:47,040 Speaker 1: about it. He knows every guy asked him about the nine. 228 00:12:50,080 --> 00:12:53,760 Speaker 1: I see if you break it down so well, can 229 00:12:53,800 --> 00:12:57,800 Speaker 1: you provide how that data is broken down and how 230 00:12:57,840 --> 00:13:03,640 Speaker 1: it benefits people like you trying to bet? Look first, 231 00:13:03,720 --> 00:13:05,920 Speaker 1: the data is not only used for betting. It's also 232 00:13:06,040 --> 00:13:10,559 Speaker 1: used for analytical purposes by teams, by trainers, consumption by fans, 233 00:13:10,559 --> 00:13:13,880 Speaker 1: storytelling products for the media's, etcetera. Pp So the data 234 00:13:13,960 --> 00:13:16,920 Speaker 1: is used in many verticals. UM. The best to break 235 00:13:16,960 --> 00:13:20,200 Speaker 1: it down is first speak about the scope I think 236 00:13:20,280 --> 00:13:24,000 Speaker 1: we cover at the moment sixty two sports. Um. So 237 00:13:24,040 --> 00:13:26,679 Speaker 1: it is not only the things which you know, the 238 00:13:26,800 --> 00:13:30,560 Speaker 1: NASCAR or the golf, or the college sports, or basketball 239 00:13:30,679 --> 00:13:34,560 Speaker 1: or baseball. It is also something like recording or do 240 00:13:34,600 --> 00:13:37,520 Speaker 1: you know recording when I was in your New York 241 00:13:37,520 --> 00:13:43,480 Speaker 1: office a couple of months ago, handball, the handfuls, let's 242 00:13:43,480 --> 00:13:45,839 Speaker 1: break that. You see the smoke that just came out 243 00:13:45,840 --> 00:13:54,840 Speaker 1: of the coverage is is worldwide and and that makes 244 00:13:54,960 --> 00:13:59,560 Speaker 1: us pretty unique. So we are worldwide and we have 245 00:13:59,600 --> 00:14:04,480 Speaker 1: a twin for seven um operation collecting that information. UM. So, 246 00:14:04,520 --> 00:14:07,600 Speaker 1: the collection of the information is either done by a 247 00:14:07,640 --> 00:14:10,320 Speaker 1: network of operators which are down on the ground. We 248 00:14:10,400 --> 00:14:13,480 Speaker 1: have six to seven thousand of them, or it is 249 00:14:13,520 --> 00:14:17,559 Speaker 1: done by operation centers where we have worldwide five operations 250 00:14:17,559 --> 00:14:20,360 Speaker 1: centers in every continent where we are interested in UM. 251 00:14:20,600 --> 00:14:23,680 Speaker 1: So this is the first level of that data collection. 252 00:14:23,760 --> 00:14:26,640 Speaker 1: The next one is you have more and more um 253 00:14:26,640 --> 00:14:29,960 Speaker 1: IoT systems which are penetrating the sports. NASCAR is a 254 00:14:29,960 --> 00:14:33,760 Speaker 1: good sample, so they provide now sensoric systems and information 255 00:14:33,760 --> 00:14:38,200 Speaker 1: about wheel spin, engine spin traction and whatsoever. Things which 256 00:14:38,240 --> 00:14:41,760 Speaker 1: are human being can't collect um UM. The challenge here 257 00:14:41,840 --> 00:14:45,520 Speaker 1: is more a technology challenge. You get um exponential wise 258 00:14:45,560 --> 00:14:49,160 Speaker 1: more data points UM and those data points need interpretation. 259 00:14:49,320 --> 00:14:51,720 Speaker 1: As you know, we have a partnership with the NFL 260 00:14:51,800 --> 00:14:56,240 Speaker 1: and exclusive partnership for data distribution. That includes also tracking 261 00:14:56,320 --> 00:14:59,080 Speaker 1: data from sensoric chips which are in the shoulder boltsies 262 00:14:59,120 --> 00:15:01,560 Speaker 1: of the players. What you need to do with those 263 00:15:01,640 --> 00:15:04,000 Speaker 1: things is you need to get it into a meaning. 264 00:15:04,160 --> 00:15:06,880 Speaker 1: And getting it into a meaning you need to assemble 265 00:15:06,960 --> 00:15:10,440 Speaker 1: data points with machine learning and ALI exercises. So this 266 00:15:10,520 --> 00:15:13,480 Speaker 1: is the next level which is now coming. Carston. At 267 00:15:13,480 --> 00:15:16,200 Speaker 1: a recent meeting between Adam Silver and Jim Murin, they 268 00:15:16,240 --> 00:15:20,000 Speaker 1: talked about at the MGM CEO. They talked about the 269 00:15:20,160 --> 00:15:25,440 Speaker 1: value of the official data. So MGM paid in essence 270 00:15:25,440 --> 00:15:27,840 Speaker 1: twenty five million dollars over three years. And this is 271 00:15:27,880 --> 00:15:30,720 Speaker 1: just the fledgling deal. But they paid for the right 272 00:15:30,760 --> 00:15:33,440 Speaker 1: to be the official designator betting partner and the right 273 00:15:33,480 --> 00:15:36,600 Speaker 1: to use that NBA logo, but most importantly the official 274 00:15:37,120 --> 00:15:40,760 Speaker 1: data stream. What is the value now and where are 275 00:15:40,760 --> 00:15:43,240 Speaker 1: we headed in the sports betted world in the value 276 00:15:43,240 --> 00:15:47,240 Speaker 1: of official data and why? Well, it's UM. It's a 277 00:15:47,240 --> 00:15:51,040 Speaker 1: difficult question. So and and you phrase it specifically into 278 00:15:51,320 --> 00:15:54,400 Speaker 1: the connection with the US. UM. What I can tell 279 00:15:54,440 --> 00:15:58,040 Speaker 1: you worldwide, UM. What the batting market is telling us 280 00:15:58,480 --> 00:16:03,640 Speaker 1: is UM that the batting market is interested in quality data. UM, 281 00:16:03,680 --> 00:16:07,480 Speaker 1: not so much. Is that official or is that not official? 282 00:16:07,680 --> 00:16:11,160 Speaker 1: What is the classification? It must be precise, exact and 283 00:16:11,280 --> 00:16:14,040 Speaker 1: fast data. This is what the batting market is interested in. 284 00:16:14,520 --> 00:16:18,400 Speaker 1: If that precise, fast and exact data is official data, 285 00:16:18,480 --> 00:16:20,920 Speaker 1: the batting market is super happy with it, UM, and 286 00:16:20,960 --> 00:16:23,400 Speaker 1: the batting operators are super happy with it. To pay 287 00:16:23,440 --> 00:16:25,840 Speaker 1: for this, UM, this is only a question of the 288 00:16:25,880 --> 00:16:28,720 Speaker 1: financial arrangement. And there's a huge debate around this. As 289 00:16:28,760 --> 00:16:32,200 Speaker 1: you know, you guys have your obviously partners with almost 290 00:16:32,200 --> 00:16:34,920 Speaker 1: every major league here in the US and some capacity. 291 00:16:35,560 --> 00:16:37,640 Speaker 1: How different do you think different leagues are going to 292 00:16:37,720 --> 00:16:40,720 Speaker 1: approach sports gampling. The day that that Jim Murnin and 293 00:16:40,760 --> 00:16:43,920 Speaker 1: Adam Silver sat together, Gary Bettman, the NHL commissioner, was 294 00:16:43,960 --> 00:16:46,560 Speaker 1: across town talking about how he wants to have a 295 00:16:46,600 --> 00:16:48,520 Speaker 1: say and how this were You know, the league seem 296 00:16:48,560 --> 00:16:51,800 Speaker 1: to be moving at very different paces right now. Well, look, um, 297 00:16:52,720 --> 00:16:55,800 Speaker 1: the the good situation for US is we started that 298 00:16:55,920 --> 00:16:59,920 Speaker 1: four years ago. Here we are the only partner, official partner, 299 00:17:00,080 --> 00:17:03,760 Speaker 1: data partner of the leagues. Um. We have partnerships with NFL, 300 00:17:03,880 --> 00:17:06,840 Speaker 1: We have partnership with baseball, we have partnership with the NBA, 301 00:17:06,920 --> 00:17:09,720 Speaker 1: as you mentioned, and with NHL in most of the 302 00:17:09,760 --> 00:17:14,439 Speaker 1: capacities we cover that data partnership in batting and the media. 303 00:17:14,760 --> 00:17:19,800 Speaker 1: And so far we have batting data partnerships with the 304 00:17:19,840 --> 00:17:23,440 Speaker 1: federations outside of the US. And we are beginning now 305 00:17:23,760 --> 00:17:26,919 Speaker 1: to discuss, um, how can that look like in the 306 00:17:27,040 --> 00:17:30,280 Speaker 1: US and what is the right model here? Um? And 307 00:17:30,280 --> 00:17:33,520 Speaker 1: and it's a debate where regulators have a say. It's 308 00:17:33,520 --> 00:17:35,800 Speaker 1: a debate where we mix in now integrity and all 309 00:17:35,800 --> 00:17:39,160 Speaker 1: those kinds of things. But this is currently running and 310 00:17:39,160 --> 00:17:42,000 Speaker 1: and I don't have a final answer where this will 311 00:17:42,119 --> 00:17:44,040 Speaker 1: end up. I think it should end up in a 312 00:17:44,080 --> 00:17:47,680 Speaker 1: way that we're saying the batting operators should get valid, 313 00:17:47,800 --> 00:17:50,600 Speaker 1: fast data and quality data, and we should cover the 314 00:17:50,640 --> 00:17:53,159 Speaker 1: integrity issues. Do you get the sense that you know 315 00:17:53,280 --> 00:17:55,280 Speaker 1: a league like the NBA is approaching this in a 316 00:17:55,440 --> 00:17:58,359 Speaker 1: in a fundamentally different way than say the n c 317 00:17:58,480 --> 00:18:01,199 Speaker 1: a A or or the NFL. Absolutely, And you notice 318 00:18:01,240 --> 00:18:04,560 Speaker 1: so the NBA is the front runner. Um. The NBA 319 00:18:04,760 --> 00:18:07,160 Speaker 1: was the first to say there is a huge opportunity 320 00:18:07,200 --> 00:18:10,040 Speaker 1: for sports and sports betting. The NBA was always saying 321 00:18:10,040 --> 00:18:12,200 Speaker 1: it's a win win situation for the sports fans, for 322 00:18:12,240 --> 00:18:14,600 Speaker 1: the leagues and for the teams, and they're paving this 323 00:18:14,600 --> 00:18:17,760 Speaker 1: way and we are very proud to be their partner 324 00:18:17,880 --> 00:18:20,480 Speaker 1: and it's for us a very important partnership. But same 325 00:18:20,640 --> 00:18:23,560 Speaker 1: for the other sports. Were speaking with Carston, Carl the 326 00:18:23,600 --> 00:18:27,680 Speaker 1: CEO of Sports Radar, and like Mo the Bartenders said 327 00:18:27,760 --> 00:18:32,600 Speaker 1: to Homer Simpson at beer isn't free, Sports radar, it 328 00:18:32,760 --> 00:18:36,920 Speaker 1: isn't free. Can you break down with the different kind 329 00:18:36,960 --> 00:18:40,680 Speaker 1: of packages. I mean, obviously, when the teams want their analytics, 330 00:18:40,760 --> 00:18:43,280 Speaker 1: there's a totally different package. But for Joe below like 331 00:18:43,359 --> 00:18:46,320 Speaker 1: me and maybe I want some of the data. What 332 00:18:46,440 --> 00:18:48,320 Speaker 1: are we looking at from? I never got the Homo 333 00:18:48,400 --> 00:18:51,320 Speaker 1: since and I love that. I love that one. Um. 334 00:18:52,280 --> 00:18:55,560 Speaker 1: Look we are we are pure B two B business 335 00:18:55,680 --> 00:19:00,520 Speaker 1: and so we are serving at the moment around seven 336 00:19:00,640 --> 00:19:06,800 Speaker 1: hundred international sports batting operators worldwide, including lotteries, including digital players, 337 00:19:06,840 --> 00:19:09,840 Speaker 1: including retail players, including the casinos. So all in all, 338 00:19:09,960 --> 00:19:13,000 Speaker 1: let's say it's a seven hundred UM. In the media space, 339 00:19:13,160 --> 00:19:17,520 Speaker 1: we serve round about one thousand, five hundred companies and 340 00:19:17,640 --> 00:19:20,040 Speaker 1: the media is is a broad mix. It is a 341 00:19:20,119 --> 00:19:25,520 Speaker 1: mix of broadcasters, full digital media guys which are on 342 00:19:25,600 --> 00:19:29,560 Speaker 1: that step to convert print into digital space. So this 343 00:19:29,640 --> 00:19:33,440 Speaker 1: is a broad mixed startups, very innovative social companies. So 344 00:19:33,560 --> 00:19:38,000 Speaker 1: this is the mix which we have. Unfortunately, we can't 345 00:19:38,040 --> 00:19:40,840 Speaker 1: serve our services to you because we are dedicated to 346 00:19:40,880 --> 00:19:42,440 Speaker 1: a B two B space. And I guess you're another 347 00:19:42,480 --> 00:19:52,600 Speaker 1: companies Sports Incorporated. One has revenue. One does not think Carston, 348 00:19:52,920 --> 00:19:54,760 Speaker 1: what are you? What are the sorts of things you're 349 00:19:54,760 --> 00:19:57,840 Speaker 1: working on with the networks? My males at Fox tell 350 00:19:57,880 --> 00:19:59,919 Speaker 1: me the way they put it, we're working on some 351 00:20:00,119 --> 00:20:04,800 Speaker 1: cool stuff with sport radar. Cool huh stuff? Yeah, what's 352 00:20:04,800 --> 00:20:07,879 Speaker 1: the viewing experience? What's that enhancement going to look like? 353 00:20:08,000 --> 00:20:10,919 Speaker 1: Or what might it look like? Well, um, look, it 354 00:20:11,080 --> 00:20:16,120 Speaker 1: is all about the challenge to have now much more 355 00:20:16,200 --> 00:20:18,520 Speaker 1: data points than we have before, and that comes of 356 00:20:18,560 --> 00:20:22,520 Speaker 1: course from sensoric systems and and the cool stuff is 357 00:20:23,040 --> 00:20:25,960 Speaker 1: what can you read out of sensors, what kind of 358 00:20:26,000 --> 00:20:29,280 Speaker 1: information and how can you translate it in something which 359 00:20:29,359 --> 00:20:33,760 Speaker 1: is exciting for the fans? For example, energy consumption parameters. 360 00:20:33,880 --> 00:20:36,040 Speaker 1: You can't do that at the moment manually, but the 361 00:20:36,119 --> 00:20:38,679 Speaker 1: chip can tell you the acceleration of a player, he 362 00:20:38,800 --> 00:20:41,840 Speaker 1: can It can tell you what is his speed, what 363 00:20:42,000 --> 00:20:44,879 Speaker 1: is his average running ways? With this, you can calculate 364 00:20:45,280 --> 00:20:49,200 Speaker 1: energy consumption of a player. If you summarize this, then 365 00:20:49,320 --> 00:20:53,320 Speaker 1: up you can calculate an energy consumption from a team. Um, 366 00:20:53,400 --> 00:20:57,000 Speaker 1: if you know, now for an NFL team, what kind 367 00:20:57,000 --> 00:20:59,159 Speaker 1: of energy level do they have an average? Because you 368 00:20:59,200 --> 00:21:01,840 Speaker 1: have a let's say ten thousand matches where you know 369 00:21:02,200 --> 00:21:04,639 Speaker 1: this is the maximum of energy the team can have, 370 00:21:05,400 --> 00:21:08,080 Speaker 1: you might have an information two minutes before the game 371 00:21:08,160 --> 00:21:12,120 Speaker 1: is finished that one team is on a energy level 372 00:21:12,119 --> 00:21:16,000 Speaker 1: consumption another one maybe and maybe in the last two minutes. 373 00:21:16,400 --> 00:21:18,560 Speaker 1: That is giving you the kick to say they might 374 00:21:18,600 --> 00:21:21,919 Speaker 1: flip the game around. Only a sample, but this is 375 00:21:21,960 --> 00:21:25,439 Speaker 1: something which is possible with since our information, and you 376 00:21:25,480 --> 00:21:28,040 Speaker 1: need to translate it in something meaningful for the fan. 377 00:21:28,320 --> 00:21:31,480 Speaker 1: This is the cool things we are working on baseball. 378 00:21:31,520 --> 00:21:33,159 Speaker 1: But you know, I know the value of over this date, 379 00:21:33,200 --> 00:21:36,160 Speaker 1: of these days. Bar So EQT, which was an investor 380 00:21:36,200 --> 00:21:40,040 Speaker 1: in Radar, recently sold a thirty percent stake in the company. 381 00:21:40,320 --> 00:21:44,399 Speaker 1: Valued the company at two point four billion dollars. Depending 382 00:21:44,440 --> 00:21:46,320 Speaker 1: on how you converted, it was a two point one 383 00:21:46,320 --> 00:21:52,920 Speaker 1: billion euros. But it is changing every day. But what 384 00:21:53,480 --> 00:21:56,119 Speaker 1: so I so I emailed you though I said congratulations, 385 00:21:56,440 --> 00:21:59,320 Speaker 1: and do you remember your response? Well I I might 386 00:21:59,359 --> 00:22:01,280 Speaker 1: have said, no, the work begins now or the work 387 00:22:01,480 --> 00:22:04,600 Speaker 1: And also I didn't sell a share? Yes, why why 388 00:22:04,640 --> 00:22:06,800 Speaker 1: was that important for you that you you wanted? I 389 00:22:06,840 --> 00:22:09,560 Speaker 1: didn't sell a share. Look if you're if you're not selling, 390 00:22:09,600 --> 00:22:14,679 Speaker 1: that's always a message. And well, you might say Carson 391 00:22:14,760 --> 00:22:16,960 Speaker 1: is stupid not selling, or you might say he is 392 00:22:16,960 --> 00:22:19,639 Speaker 1: clever because he knows that he can increase that value 393 00:22:19,840 --> 00:22:22,880 Speaker 1: um or you might say he simply loves what he's 394 00:22:22,960 --> 00:22:25,560 Speaker 1: doing and he's not caring about those things. And it's 395 00:22:25,600 --> 00:22:28,040 Speaker 1: maybe a mix of it saying I love for him. 396 00:22:28,080 --> 00:22:33,920 Speaker 1: If it was Borrod behind on the stupid scale that 397 00:22:36,760 --> 00:22:40,400 Speaker 1: you might you might say this way or or yes, 398 00:22:40,440 --> 00:22:43,880 Speaker 1: I definitely believe we have huge gross opportunities. We are 399 00:22:43,960 --> 00:22:47,360 Speaker 1: very well placed, and and why should I sell if 400 00:22:47,359 --> 00:22:49,880 Speaker 1: I see that gross opportunities? And it gives me more 401 00:22:49,920 --> 00:22:53,080 Speaker 1: control over what I want to do. And my target 402 00:22:53,160 --> 00:22:56,200 Speaker 1: was always to say I want to define my destiny 403 00:22:56,240 --> 00:22:58,640 Speaker 1: and decide on those things. I can't do this now 404 00:22:58,680 --> 00:23:01,199 Speaker 1: because I'm a majority shape holder and I can do 405 00:23:01,240 --> 00:23:03,440 Speaker 1: that decisions. And it gives you a comfort if you 406 00:23:03,520 --> 00:23:06,000 Speaker 1: have fifty plus percent on the company, so you can 407 00:23:06,080 --> 00:23:08,640 Speaker 1: decide better. I think you know it here for from 408 00:23:08,640 --> 00:23:11,760 Speaker 1: your main shareholder. Asked him what he would do if 409 00:23:11,760 --> 00:23:14,119 Speaker 1: he has somebody else to tell him what he should do. 410 00:23:14,280 --> 00:23:17,200 Speaker 1: So I think his answer would be, I'm very happy 411 00:23:17,200 --> 00:23:18,720 Speaker 1: to be in a position where I am, and he 412 00:23:19,840 --> 00:23:23,199 Speaker 1: already and the other people who see the value here 413 00:23:23,240 --> 00:23:25,760 Speaker 1: also investors in your company. A while back, a few 414 00:23:25,800 --> 00:23:28,800 Speaker 1: a few people folks might know Michael Jordan's, Mark Cuban 415 00:23:29,359 --> 00:23:33,960 Speaker 1: and Ted Lee answers how important were they in getting 416 00:23:34,040 --> 00:23:37,879 Speaker 1: radar some of these deals and in further growth in 417 00:23:37,920 --> 00:23:41,360 Speaker 1: the US. I think in the US they are enormous 418 00:23:41,400 --> 00:23:45,960 Speaker 1: important and and it's something as a European player coming 419 00:23:45,960 --> 00:23:49,520 Speaker 1: to the US market, it's a complete different environment. It's 420 00:23:49,520 --> 00:23:53,000 Speaker 1: another ecosystem, and you need people which are advising you 421 00:23:53,119 --> 00:23:55,400 Speaker 1: in this ecosystem. You need to learn from them. I'm 422 00:23:55,480 --> 00:23:58,360 Speaker 1: learning on a daily basis from Ted Lee, answers from 423 00:23:58,359 --> 00:24:01,600 Speaker 1: Michael Jordan from Rock Cuban. Whenever I can, I try 424 00:24:01,640 --> 00:24:04,240 Speaker 1: to catch up with them to learn about the market. 425 00:24:04,400 --> 00:24:06,960 Speaker 1: And for me, it's incredible value to learn from the best. 426 00:24:07,119 --> 00:24:10,879 Speaker 1: And this is in my sector. It's sports, so I 427 00:24:10,920 --> 00:24:13,720 Speaker 1: think we have the best shareholder mix there. We try 428 00:24:13,760 --> 00:24:16,920 Speaker 1: to increase now and learn also from other sports and 429 00:24:16,920 --> 00:24:20,280 Speaker 1: and for us that is something which which has paid 430 00:24:20,320 --> 00:24:22,320 Speaker 1: off very well. So this is what we want to do. 431 00:24:22,440 --> 00:24:24,040 Speaker 1: Is there an example of something that stands out that 432 00:24:24,080 --> 00:24:25,840 Speaker 1: you've learned from one of those guys that you know, 433 00:24:26,160 --> 00:24:30,840 Speaker 1: I didn't realize the American sport work that way. Look, um, 434 00:24:30,960 --> 00:24:34,040 Speaker 1: I learned on the very very beginning that there is 435 00:24:34,160 --> 00:24:37,879 Speaker 1: a major difference to the European markets I know, but 436 00:24:37,920 --> 00:24:41,400 Speaker 1: also to the Asian markets I know. On the communication level. 437 00:24:41,520 --> 00:24:45,200 Speaker 1: So people here are CEOL is communicating to a CEO, 438 00:24:45,400 --> 00:24:48,680 Speaker 1: but the CEO is never communicating to a lower level 439 00:24:48,720 --> 00:24:52,919 Speaker 1: management UM, which which is very unusual in Europe. In Europe, 440 00:24:52,920 --> 00:24:54,960 Speaker 1: you simply say, well, this is the subject, this is 441 00:24:55,000 --> 00:24:57,200 Speaker 1: the issue, this is the project. Let's do this. It's 442 00:24:57,200 --> 00:25:00,720 Speaker 1: another network and you're working in other networks, UM. And 443 00:25:00,760 --> 00:25:02,520 Speaker 1: you have to get used to it. And I got 444 00:25:02,520 --> 00:25:05,280 Speaker 1: a good teaching from and you ask on the beginning, 445 00:25:05,320 --> 00:25:08,320 Speaker 1: what was it. Yes, I got that teaching very quickly 446 00:25:08,760 --> 00:25:10,479 Speaker 1: before we let you go. We made it this far. 447 00:25:10,600 --> 00:25:13,399 Speaker 1: We haven't discussed integrity at all. It's becoming kind of 448 00:25:13,400 --> 00:25:15,840 Speaker 1: a dirty word here in the US. Another thing that 449 00:25:15,880 --> 00:25:18,639 Speaker 1: you guys do you monitor betting patterns for leagues. You 450 00:25:18,680 --> 00:25:20,960 Speaker 1: take a look at if there's something suspicious that happens, 451 00:25:21,240 --> 00:25:24,960 Speaker 1: you'll monitor them. Is America. Is the US ready on 452 00:25:25,080 --> 00:25:28,399 Speaker 1: an integrity standpoint for for this influx of sports gambling 453 00:25:28,440 --> 00:25:31,879 Speaker 1: that's going to take hold, especially once the NFL season starts. No, 454 00:25:32,000 --> 00:25:34,439 Speaker 1: it's not ready. So it's something where we need to 455 00:25:34,480 --> 00:25:36,320 Speaker 1: work on. That's the reason why you see that in 456 00:25:36,359 --> 00:25:40,480 Speaker 1: the debate and why UM many people are in this topic. 457 00:25:40,520 --> 00:25:44,440 Speaker 1: And this is good. So The basic understanding is, um, 458 00:25:44,520 --> 00:25:47,200 Speaker 1: you're gonna need to establish a good system to monitor 459 00:25:47,240 --> 00:25:49,920 Speaker 1: the integrity of the sport and uh. And there was 460 00:25:49,960 --> 00:25:52,879 Speaker 1: a very serious debate ongoing with all the leagues, with 461 00:25:52,920 --> 00:25:55,399 Speaker 1: all the participants, with all the sports, which is in 462 00:25:55,480 --> 00:25:58,680 Speaker 1: principle very very good. If you simply ignore it and say, 463 00:25:58,800 --> 00:26:01,040 Speaker 1: well it might be there, um, that would be the 464 00:26:01,080 --> 00:26:03,520 Speaker 1: wrong approach. So I think it's the right approach, but 465 00:26:03,560 --> 00:26:05,399 Speaker 1: it's not. If you ask me, is it ready, No, 466 00:26:05,520 --> 00:26:09,000 Speaker 1: it's not ready. Regulatory framework needs to be adopted. A 467 00:26:09,040 --> 00:26:11,479 Speaker 1: procedure over the leagues needs to be done. You need 468 00:26:11,560 --> 00:26:14,680 Speaker 1: to look how you store player information, how you use 469 00:26:14,720 --> 00:26:18,159 Speaker 1: consistently player information, over the states which are licensing this. 470 00:26:18,520 --> 00:26:20,440 Speaker 1: All this needs to be figured out. But this is 471 00:26:20,440 --> 00:26:23,240 Speaker 1: an important piece. And how dangerous is it once the 472 00:26:23,359 --> 00:26:25,760 Speaker 1: NFL season starts, there's gonna be five or six U 473 00:26:25,840 --> 00:26:29,159 Speaker 1: S states that are taking gambling, mobile, brick and mortar. 474 00:26:29,440 --> 00:26:31,200 Speaker 1: We don't have those things in place, as you've said, 475 00:26:31,200 --> 00:26:33,560 Speaker 1: at least not yet. How dangerous is it to kind 476 00:26:33,560 --> 00:26:36,560 Speaker 1: of dive in without those places? Well, look, um, it's 477 00:26:36,600 --> 00:26:38,600 Speaker 1: it's not in the way that that the leagues are 478 00:26:38,680 --> 00:26:42,680 Speaker 1: on zero by far or not. Um, so I think, um, 479 00:26:42,760 --> 00:26:45,560 Speaker 1: I think all of them are ready when the season 480 00:26:45,680 --> 00:26:48,639 Speaker 1: is starting, that they have systems in place. Um, they're 481 00:26:48,680 --> 00:26:51,879 Speaker 1: working on this heavily. But maybe let me add something else. 482 00:26:51,920 --> 00:26:54,160 Speaker 1: So for me, sports batting is a win to win 483 00:26:54,240 --> 00:26:57,959 Speaker 1: situation for everybody. For the sports fan, he has more excitement. 484 00:26:58,359 --> 00:27:01,119 Speaker 1: It's for the Texas morem need to collect. And I 485 00:27:01,200 --> 00:27:03,919 Speaker 1: understand the States are looking into this. Um for the 486 00:27:04,000 --> 00:27:07,280 Speaker 1: league's an opportunity to get sponsors from the betting industry. 487 00:27:07,600 --> 00:27:10,240 Speaker 1: For the teams, this is something where they can earn 488 00:27:10,280 --> 00:27:13,119 Speaker 1: more money. So I think at the end it's a 489 00:27:13,160 --> 00:27:15,879 Speaker 1: win to win situation. It comes with that piece of 490 00:27:16,000 --> 00:27:19,040 Speaker 1: saying you don't want to have a team to know 491 00:27:19,200 --> 00:27:21,439 Speaker 1: a match outcome, or you don't want to have a 492 00:27:21,440 --> 00:27:26,040 Speaker 1: player knowing I should underperform. The same goes for doping, right, Um, 493 00:27:26,080 --> 00:27:28,080 Speaker 1: you don't want to have this. You don't want to 494 00:27:28,119 --> 00:27:31,720 Speaker 1: have people giving them injections that they can cycle better 495 00:27:31,760 --> 00:27:33,880 Speaker 1: on the mountain like the others. So what you need 496 00:27:33,920 --> 00:27:36,160 Speaker 1: to do is you need to put systems in place 497 00:27:36,200 --> 00:27:38,639 Speaker 1: to monitor measure this. And of course it is a 498 00:27:38,680 --> 00:27:42,159 Speaker 1: constant it's a constant battle here to be always a 499 00:27:42,200 --> 00:27:44,680 Speaker 1: little bit better than the ones manipulating it, and this 500 00:27:44,720 --> 00:27:46,520 Speaker 1: is what we are seeing in this space. But it 501 00:27:46,600 --> 00:27:49,240 Speaker 1: comes with that responsibility. So in other words, if you 502 00:27:49,280 --> 00:27:52,320 Speaker 1: see me betting on the Mets to win, you know 503 00:27:52,480 --> 00:28:00,560 Speaker 1: something's wrong. And I but I would day on this 504 00:28:00,720 --> 00:28:03,080 Speaker 1: is you can't beat of twenty five bucks because God 505 00:28:03,119 --> 00:28:06,280 Speaker 1: has you wanted. So it's not possible. God is preventing 506 00:28:06,280 --> 00:28:09,480 Speaker 1: you from this. To to wrap things up, what role 507 00:28:09,560 --> 00:28:12,600 Speaker 1: is there for the players in this? The players own 508 00:28:12,800 --> 00:28:15,760 Speaker 1: a lot of their data or they're trying to. Is 509 00:28:15,800 --> 00:28:19,200 Speaker 1: there any direct business to be had with the players themselves? 510 00:28:19,680 --> 00:28:22,760 Speaker 1: There are discussions ongoing with the unions. And then this 511 00:28:22,840 --> 00:28:27,720 Speaker 1: is about chip deployment into um, yeah, into the wearables 512 00:28:27,920 --> 00:28:32,399 Speaker 1: or into into the shoes or whatsoever. And and uh 513 00:28:32,600 --> 00:28:35,760 Speaker 1: this is uh, this is quite a very structured debate. 514 00:28:35,960 --> 00:28:40,040 Speaker 1: UM looking now into tracking from video systems, UM that 515 00:28:40,080 --> 00:28:43,480 Speaker 1: doesn't involve the players. And in case of the NBA, 516 00:28:43,560 --> 00:28:46,280 Speaker 1: you know it's a video tracking So this is something 517 00:28:46,320 --> 00:28:48,719 Speaker 1: which is down miss tracking cameras delivering at the end 518 00:28:48,760 --> 00:28:51,080 Speaker 1: the same kind of information. It's only a question how 519 00:28:51,160 --> 00:28:55,760 Speaker 1: quickly can you condense this? Carston Carl CEO of sport Radar. 520 00:28:56,360 --> 00:28:58,560 Speaker 1: The time just blew By. Thank you so much for 521 00:28:58,640 --> 00:29:01,680 Speaker 1: joining us here in studio. Thank you, thank you. Lata 522 00:29:01,760 --> 00:29:05,400 Speaker 1: says it's time to go. Thank you, Carson, thank you. 523 00:29:05,960 --> 00:29:11,000 Speaker 1: Takeaways from the interview. I what an incredible guy. I mean, 524 00:29:11,080 --> 00:29:14,280 Speaker 1: he started something I wish interesting fellow, Now, yeah, he 525 00:29:14,600 --> 00:29:19,320 Speaker 1: really is. It's I wish they really had something for 526 00:29:19,400 --> 00:29:21,840 Speaker 1: me where if I want to get into betting, you 527 00:29:21,920 --> 00:29:28,280 Speaker 1: have that the cheap gambler data from the data perspective. 528 00:29:28,360 --> 00:29:30,600 Speaker 1: But boy, I mean that the technology involved in this 529 00:29:30,720 --> 00:29:33,560 Speaker 1: is remarkable. Tech is remarkable. What I loved is that 530 00:29:33,600 --> 00:29:37,160 Speaker 1: initially when I sent him the email congratulating him on 531 00:29:37,200 --> 00:29:40,880 Speaker 1: the eq T stakes sale, his immediate response was I 532 00:29:40,960 --> 00:29:44,720 Speaker 1: didn't sell a share, and we talked about that as well. 533 00:29:45,080 --> 00:29:47,960 Speaker 1: My takeaway is that Carston feels if he has yet 534 00:29:48,000 --> 00:29:51,240 Speaker 1: to extract all the value out of this company, all 535 00:29:51,280 --> 00:29:54,320 Speaker 1: the value out of what it can become. He sees 536 00:29:54,480 --> 00:29:57,560 Speaker 1: things out there in the US open sports betting world, 537 00:29:57,560 --> 00:30:00,720 Speaker 1: in a global market for sports betting, what his company 538 00:30:00,760 --> 00:30:04,080 Speaker 1: can accomplish not only in the betting industry but also 539 00:30:04,120 --> 00:30:10,840 Speaker 1: in media. He sees many more dollars to follow. Feels 540 00:30:10,840 --> 00:30:12,680 Speaker 1: better to be number one than number five. I'll wear 541 00:30:12,760 --> 00:30:14,480 Speaker 1: a number. Because of Mike, we have a chance to 542 00:30:14,480 --> 00:30:16,080 Speaker 1: go for three in a row. Kid numbers in a 543 00:30:16,080 --> 00:30:18,200 Speaker 1: good time, and let's first started wearing the number. I 544 00:30:18,240 --> 00:30:22,120 Speaker 1: would just have the floomberg business of sports. The number 545 00:30:22,160 --> 00:30:25,320 Speaker 1: of the week. Time now for the number of the week. 546 00:30:25,600 --> 00:30:31,320 Speaker 1: This is easy. This is the moment I say it. 547 00:30:31,400 --> 00:30:33,560 Speaker 1: You're gonna be like, oh, come on, you could be 548 00:30:33,600 --> 00:30:37,680 Speaker 1: more creative. Forty point seven million. So I have no 549 00:30:37,720 --> 00:30:39,880 Speaker 1: idea what he's talking about. Forty point seven million. You 550 00:30:39,960 --> 00:30:43,480 Speaker 1: tell me this is super easy. Yes, forty seven million. 551 00:30:43,520 --> 00:30:47,640 Speaker 1: What happened? Forty seven million? I have no idea. That 552 00:30:48,760 --> 00:30:53,760 Speaker 1: is what New Jersey made. I have so many numbers 553 00:30:53,800 --> 00:30:55,080 Speaker 1: going through my head. How do you want me to 554 00:30:55,080 --> 00:30:58,960 Speaker 1: be in sports betting for the month of July, Well, 555 00:30:59,000 --> 00:31:02,120 Speaker 1: the promise of tax revenue was there, and it seems 556 00:31:02,160 --> 00:31:05,920 Speaker 1: as if the promise of tax revenue is a reality. 557 00:31:06,440 --> 00:31:08,600 Speaker 1: It's another revenue stream for the state. And I should 558 00:31:08,640 --> 00:31:12,040 Speaker 1: add this, that's the first full month of sport betting. Yeah, 559 00:31:12,040 --> 00:31:13,920 Speaker 1: all these folks. Is it's funny, all these folks in 560 00:31:13,960 --> 00:31:16,720 Speaker 1: this industry, and my lord's it seems like forever ago 561 00:31:16,800 --> 00:31:19,560 Speaker 1: where I was I moderated a panel on sports betting 562 00:31:19,600 --> 00:31:22,960 Speaker 1: on Capitol Hill is I mean only like two years ago, 563 00:31:23,000 --> 00:31:24,719 Speaker 1: and it seems like ages ago because here we are 564 00:31:24,720 --> 00:31:27,600 Speaker 1: and it's happening. But all of the strategists, who of 565 00:31:27,600 --> 00:31:29,280 Speaker 1: course we're on the side of let's make this happen, 566 00:31:29,640 --> 00:31:34,480 Speaker 1: they said the number one talking point should be revenue, revenue, revenue, 567 00:31:34,600 --> 00:31:37,520 Speaker 1: tax revenue, jobs, jobs, tax revenue. That's what we need 568 00:31:37,560 --> 00:31:39,920 Speaker 1: to push here. But now we're seeing yes, it is 569 00:31:39,920 --> 00:31:41,480 Speaker 1: a talking point. Of course it came from their point 570 00:31:41,520 --> 00:31:44,080 Speaker 1: of view, but it's true. And here's the you know what, 571 00:31:44,240 --> 00:31:48,960 Speaker 1: what's remarkable is the number one job that really is 572 00:31:48,960 --> 00:31:50,560 Speaker 1: going to get a big boost out of this. And 573 00:31:50,600 --> 00:31:54,920 Speaker 1: I read this several weeks ago. The accountant. Yeah, you 574 00:31:55,040 --> 00:31:56,960 Speaker 1: have to crunch the numbers. I don't know what's what 575 00:31:57,280 --> 00:31:59,479 Speaker 1: You've been listening to Bloomberg Business of Sports. We are 576 00:31:59,520 --> 00:32:02,200 Speaker 1: here each and every week at the same time, plus 577 00:32:02,400 --> 00:32:06,280 Speaker 1: online as an Apple podcast. You can catch that Monday's, 578 00:32:06,320 --> 00:32:09,720 Speaker 1: Wednesdays and Thursdays. I'm Michael bar on Twitter at Big 579 00:32:09,720 --> 00:32:12,239 Speaker 1: Bar Sports Big Bar, and I'm Scott Sashnik. You can 580 00:32:12,280 --> 00:32:15,160 Speaker 1: follow me on Twitter at sashnik and thanks for joining us. 581 00:32:15,200 --> 00:32:17,000 Speaker 1: Please tune in next week when we speak with the 582 00:32:17,040 --> 00:32:19,720 Speaker 1: biggest and brightest in the sports business industry. You're listening 583 00:32:19,760 --> 00:32:22,720 Speaker 1: to Bloomberg Business of Sports from Bloomberg Radio around the 584 00:32:22,760 --> 00:32:25,600 Speaker 1: world and online as an Apple podcast on night Tunes.