1 00:00:00,520 --> 00:00:04,320 Speaker 1: Hello, and welcome to the Bloomberg Business of Sports podcast. 2 00:00:04,519 --> 00:00:06,720 Speaker 1: We explore some of the big money issues in the 3 00:00:06,760 --> 00:00:09,920 Speaker 1: world of sports. I'm Michael Barr, I'm Scarlett, and I'm 4 00:00:09,960 --> 00:00:15,080 Speaker 1: Damiens and we have the founder, chief executive officer and 5 00:00:15,280 --> 00:00:21,080 Speaker 1: director of Sports Radar. Say hello everyone to Carston Curl. 6 00:00:21,560 --> 00:00:24,800 Speaker 1: I am so glad you are here on the Bloomberg 7 00:00:24,840 --> 00:00:27,560 Speaker 1: Business of Sports. And by the way, folks, to show 8 00:00:27,600 --> 00:00:30,840 Speaker 1: you how we stretch out there. He's on the phone 9 00:00:31,520 --> 00:00:36,080 Speaker 1: from St. Gallen, Switzerland, because that's how we rolle. Car 10 00:00:36,520 --> 00:00:40,519 Speaker 1: Welcome to the Bloomberg Business and Sports. Wow, what a 11 00:00:40,560 --> 00:00:45,760 Speaker 1: wildcome And that sounds a little bit like the introduction 12 00:00:45,800 --> 00:00:50,839 Speaker 1: of a boxing fight. Let's get Now, that's a transit. 13 00:00:51,000 --> 00:00:54,760 Speaker 1: I can't do that. It's like that's straight. Uh. Let's 14 00:00:54,880 --> 00:00:57,160 Speaker 1: first of all, let's talk about Sports Radar. It's uh, 15 00:00:57,320 --> 00:00:59,400 Speaker 1: and we've talked about it before, we're gonna bring it 16 00:00:59,440 --> 00:01:02,720 Speaker 1: up again. It's the leaving global sports technology company and 17 00:01:03,160 --> 00:01:07,880 Speaker 1: you create experiences for sports fans and vettors. How have 18 00:01:08,080 --> 00:01:13,640 Speaker 1: things been going, well, let's say interesting. So it's uh. 19 00:01:14,040 --> 00:01:17,280 Speaker 1: It's I think the best description the capital markets at 20 00:01:17,280 --> 00:01:19,479 Speaker 1: the moment. And I think if you interview a couple 21 00:01:19,520 --> 00:01:23,000 Speaker 1: of CEO. As you hear from all of them, some 22 00:01:23,040 --> 00:01:25,840 Speaker 1: colors in this direction, it's going up and down. It's UM, 23 00:01:26,080 --> 00:01:29,360 Speaker 1: it's like a roller coaster. UM. There are many things 24 00:01:29,480 --> 00:01:35,520 Speaker 1: which companies can't influence, many market tendencies. UM. That is 25 00:01:35,760 --> 00:01:39,880 Speaker 1: that is a challenging you know, public business to manage this. UM. 26 00:01:39,880 --> 00:01:44,240 Speaker 1: From operational perspective, things are running excellent, That's the only 27 00:01:44,280 --> 00:01:48,520 Speaker 1: thing I can say. So we are we are making 28 00:01:48,560 --> 00:01:52,480 Speaker 1: up to our plans. UM. We are beating work or 29 00:01:52,840 --> 00:01:56,400 Speaker 1: we are on our quality predictions every quarter in the 30 00:01:56,520 --> 00:02:00,680 Speaker 1: role since ure UM, and that is not so easy 31 00:02:00,880 --> 00:02:05,080 Speaker 1: in our worldwide environment. Was all the little head winds 32 00:02:05,080 --> 00:02:08,240 Speaker 1: which we see in some areas. And you're profitable in 33 00:02:08,280 --> 00:02:11,480 Speaker 1: the US for the first time since the I p O. 34 00:02:11,600 --> 00:02:14,200 Speaker 1: So I want to get a better sense of your 35 00:02:14,240 --> 00:02:18,359 Speaker 1: business in the US because you provide data to teams, 36 00:02:18,480 --> 00:02:21,720 Speaker 1: leagues as well as media outlets and sport books in 37 00:02:21,800 --> 00:02:25,960 Speaker 1: real time and looking at just some of the numbers here, 38 00:02:25,960 --> 00:02:29,120 Speaker 1: it's pretty stunning. Betting and gaming. Uh, that part of 39 00:02:29,160 --> 00:02:33,320 Speaker 1: your business of US sports books run on sport radar data. 40 00:02:33,680 --> 00:02:36,480 Speaker 1: Talk a little bit about specifically what data that is 41 00:02:36,520 --> 00:02:39,560 Speaker 1: because as a consumer. I don't necessarily see it. Damie 42 00:02:39,560 --> 00:02:42,480 Speaker 1: and I were just talking about this, but the businesses 43 00:02:43,160 --> 00:02:47,640 Speaker 1: clearly need what you're providing absolutely, So compare us to Bloomberg. 44 00:02:47,680 --> 00:02:50,160 Speaker 1: It's a company you guys know very well. I guess 45 00:02:50,720 --> 00:02:55,840 Speaker 1: we think with speed information and data UM, and that 46 00:02:56,000 --> 00:03:01,000 Speaker 1: is consumed by by people which are are trying to 47 00:03:01,160 --> 00:03:05,600 Speaker 1: make an advantage out of this information. UM. Sports data 48 00:03:05,880 --> 00:03:08,200 Speaker 1: works in the same way if it comes to sports patting, 49 00:03:08,400 --> 00:03:12,320 Speaker 1: So that's something if it goes into a real time 50 00:03:12,440 --> 00:03:16,280 Speaker 1: environment and if you offer UM prices on it or 51 00:03:16,360 --> 00:03:20,440 Speaker 1: batting parts, which is the same like a probability UM, 52 00:03:20,520 --> 00:03:23,880 Speaker 1: you depend that you have very accurate and very fast 53 00:03:23,919 --> 00:03:27,840 Speaker 1: information and very reliable information. So we're speaking here about 54 00:03:28,480 --> 00:03:32,399 Speaker 1: real time sport data and information much more valuable than 55 00:03:33,000 --> 00:03:35,600 Speaker 1: it is pre match. If you'll provide this a week 56 00:03:35,640 --> 00:03:38,640 Speaker 1: in advance or a day in an advance UM. And 57 00:03:38,680 --> 00:03:41,440 Speaker 1: what we just see in the US is a revolution here. 58 00:03:41,560 --> 00:03:47,559 Speaker 1: So we see that sports batting operators begin to experience 59 00:03:47,600 --> 00:03:52,320 Speaker 1: and try around life batting. Life batting is so more exciting. 60 00:03:52,360 --> 00:03:54,760 Speaker 1: Then if you're bet now on the next match day 61 00:03:54,840 --> 00:03:57,160 Speaker 1: or show before the match is starting, you can bet 62 00:03:57,480 --> 00:04:02,200 Speaker 1: in running, so you can bet on the Super Bowl UM, 63 00:04:02,320 --> 00:04:05,440 Speaker 1: and and the bet on every touchdown, every minute. You 64 00:04:05,480 --> 00:04:07,520 Speaker 1: can do this. You can do the same with the 65 00:04:07,600 --> 00:04:10,960 Speaker 1: NBA on the points. You can even bet um is 66 00:04:10,960 --> 00:04:14,440 Speaker 1: it is it Lebron with scoring study points or more 67 00:04:14,480 --> 00:04:17,839 Speaker 1: and that is changing during the match dynamically. For this 68 00:04:18,560 --> 00:04:21,640 Speaker 1: you need first underlying data and then you need two 69 00:04:21,680 --> 00:04:24,680 Speaker 1: models to predict this and to predict the outcome UM 70 00:04:25,240 --> 00:04:28,919 Speaker 1: and the models UM outside from the data distribution is 71 00:04:28,920 --> 00:04:31,520 Speaker 1: what we called up products which are moving up the 72 00:04:31,600 --> 00:04:35,920 Speaker 1: value chain. So we are providing here probabilities, trading products, 73 00:04:35,960 --> 00:04:39,679 Speaker 1: platform products to our clients UM to make the life 74 00:04:39,680 --> 00:04:42,160 Speaker 1: easier for them that they can focus on what they 75 00:04:42,160 --> 00:04:45,960 Speaker 1: are best in the marketing and operation of the sports book. 76 00:04:46,040 --> 00:04:49,320 Speaker 1: And we are trying put that burn away from that Carston, 77 00:04:49,400 --> 00:04:52,120 Speaker 1: you know, I mean obviously you know, uh, Scarlet hit 78 00:04:52,160 --> 00:04:53,839 Speaker 1: on a lot of your clients, right and you have 79 00:04:53,920 --> 00:04:56,119 Speaker 1: this great B two B model you're you're you're facing 80 00:04:56,120 --> 00:04:59,400 Speaker 1: off against, as she said, sport books and Turner Networks 81 00:04:59,480 --> 00:05:02,400 Speaker 1: and ABC and you know all these large you know, 82 00:05:02,440 --> 00:05:06,679 Speaker 1: venerable institutions. You know what comes next for your average 83 00:05:06,760 --> 00:05:08,960 Speaker 1: run of the middle retail investor. You know, how does 84 00:05:09,160 --> 00:05:12,800 Speaker 1: sport Radar plan on doing business with that individual or 85 00:05:12,839 --> 00:05:15,760 Speaker 1: individuals and what is the offering gonna look like going 86 00:05:15,800 --> 00:05:18,640 Speaker 1: forward as it relates to picking up that segment of 87 00:05:18,640 --> 00:05:25,039 Speaker 1: the market. Look, Um, we will stay in what I'm 88 00:05:25,040 --> 00:05:28,799 Speaker 1: telling you now from a segmentation. UM, that's a sport. 89 00:05:28,960 --> 00:05:32,080 Speaker 1: Everything what is around sport is investing for us. And 90 00:05:32,120 --> 00:05:35,200 Speaker 1: there are three segments. There are the batting operators. We 91 00:05:35,240 --> 00:05:37,080 Speaker 1: believe we are the biggest and the best in the 92 00:05:37,120 --> 00:05:39,360 Speaker 1: world that we have to broad streach and we are 93 00:05:39,400 --> 00:05:43,160 Speaker 1: profitable in all our market segments here UM we have 94 00:05:43,640 --> 00:05:47,400 Speaker 1: leads and teams as partners. That's a very exciting segment, 95 00:05:47,480 --> 00:05:50,080 Speaker 1: by the way, and we see a lot of movements here. 96 00:05:50,800 --> 00:05:53,440 Speaker 1: Might later on that a few sentenced on this. And 97 00:05:53,560 --> 00:05:57,159 Speaker 1: the third one is the media and the broadcasters UM 98 00:05:57,160 --> 00:06:02,120 Speaker 1: and and interestingly we their batting operators are moving into 99 00:06:02,200 --> 00:06:05,400 Speaker 1: the media space. Same black media companies are going to 100 00:06:05,480 --> 00:06:08,640 Speaker 1: be batting both greators. And the most exciting one is 101 00:06:09,120 --> 00:06:12,360 Speaker 1: the leagues are going directly to the consumer and they 102 00:06:12,400 --> 00:06:15,719 Speaker 1: all need data, they all need technology and the services 103 00:06:15,760 --> 00:06:19,920 Speaker 1: connected to this. That's such a huge playing ground. And 104 00:06:20,040 --> 00:06:23,160 Speaker 1: keeping the mind that we have in the US, UM, 105 00:06:23,200 --> 00:06:25,839 Speaker 1: I found out all the states at the moment online 106 00:06:25,960 --> 00:06:29,920 Speaker 1: the sports batting. UM. We have India on the world. 107 00:06:30,120 --> 00:06:34,080 Speaker 1: We have Brazil beginning to regulate. We might have Malaysia 108 00:06:34,560 --> 00:06:37,880 Speaker 1: and Japan coming in this year. UM and who knows 109 00:06:38,040 --> 00:06:40,520 Speaker 1: when China is coming with a population of a one 110 00:06:40,560 --> 00:06:44,320 Speaker 1: point three one point four billion. So all these together 111 00:06:44,720 --> 00:06:50,040 Speaker 1: UM gives us a solid feeling in this three business verticules. 112 00:06:50,080 --> 00:06:53,640 Speaker 1: We have enormous growth potential located to the world though, UM, 113 00:06:53,680 --> 00:06:57,000 Speaker 1: so it's not needed to think about more business models. 114 00:06:57,040 --> 00:06:59,880 Speaker 1: I think we have to execute on what we have 115 00:07:00,160 --> 00:07:05,240 Speaker 1: anti battle power services. Some of the current owners I 116 00:07:05,279 --> 00:07:13,920 Speaker 1: think they invested in sport Radar back in uh Mark, Cuban. Yes, 117 00:07:14,560 --> 00:07:18,080 Speaker 1: I mean that's you've got a lot of big names. 118 00:07:18,400 --> 00:07:21,960 Speaker 1: Ted leons Is, Michael Jordan's what is it like, I 119 00:07:22,000 --> 00:07:27,560 Speaker 1: mean when you're back now the company's at two valued 120 00:07:27,600 --> 00:07:32,320 Speaker 1: at two point nine billion dollars, What is it like? 121 00:07:32,320 --> 00:07:34,800 Speaker 1: Like you said when you when you have very smart 122 00:07:34,840 --> 00:07:38,080 Speaker 1: people like this, it can't be anything but a plus 123 00:07:38,080 --> 00:07:40,320 Speaker 1: for the company. Yeah. I think at the moment it's 124 00:07:40,360 --> 00:07:43,240 Speaker 1: even closer to the four billion and then to the three, 125 00:07:43,560 --> 00:07:48,000 Speaker 1: but it's changing all the time. Look those guys, UM, 126 00:07:48,800 --> 00:07:52,400 Speaker 1: they made good money and I'm very happy if I 127 00:07:52,440 --> 00:07:55,400 Speaker 1: can make money for appreciation with it. That is what 128 00:07:55,480 --> 00:07:58,240 Speaker 1: I should do. I should create value for everybody. I 129 00:07:58,280 --> 00:08:01,480 Speaker 1: should grow the business like I'm from said UM, and 130 00:08:01,520 --> 00:08:05,480 Speaker 1: then UM. I hope that the market is UM is 131 00:08:05,520 --> 00:08:08,720 Speaker 1: giving us that valuation for the performance which we show. 132 00:08:08,760 --> 00:08:12,200 Speaker 1: And sometimes it's a bit difficult if markets are changing 133 00:08:12,240 --> 00:08:15,360 Speaker 1: their perception on valuation and the multiples are going down 134 00:08:15,520 --> 00:08:20,080 Speaker 1: on no more revenue multiples more hebita multiples. But in 135 00:08:20,160 --> 00:08:23,880 Speaker 1: generally UM, it's only hard work and execution on what 136 00:08:24,040 --> 00:08:27,600 Speaker 1: I've promised UM to market in twain and to test 137 00:08:28,000 --> 00:08:30,840 Speaker 1: not and the team which I have around me is 138 00:08:30,880 --> 00:08:34,720 Speaker 1: simply outstanding and sensession UM, and we would enjoy what 139 00:08:34,800 --> 00:08:37,199 Speaker 1: we are doing. We're working in sport, but we are 140 00:08:37,240 --> 00:08:40,560 Speaker 1: executing on the agenda and that creates share all the 141 00:08:40,640 --> 00:08:44,200 Speaker 1: value and at the end that's UM. Everybody is interested 142 00:08:44,240 --> 00:08:47,040 Speaker 1: in this. If you invest into the business, you're interested 143 00:08:47,080 --> 00:08:49,200 Speaker 1: in the return. I want to go back to the 144 00:08:49,240 --> 00:08:51,760 Speaker 1: betting and gaming business. With nine percent of US sports 145 00:08:51,760 --> 00:08:54,959 Speaker 1: books running on sport radar data, what do the other 146 00:08:55,000 --> 00:08:59,800 Speaker 1: two percent use? Clearly use Mandy my book. No, I'm sorry, 147 00:08:59,800 --> 00:09:04,199 Speaker 1: So that's massive. Look, this is so difficult to say, 148 00:09:04,360 --> 00:09:07,800 Speaker 1: um UM. What that means is we are we are 149 00:09:07,800 --> 00:09:12,679 Speaker 1: covering nine sports um UM the whole year around. So 150 00:09:12,720 --> 00:09:15,679 Speaker 1: it's not only the less sports, and it's more than 151 00:09:15,760 --> 00:09:18,959 Speaker 1: nine hundred thousand life matches which we provide to our 152 00:09:19,080 --> 00:09:24,600 Speaker 1: clients UM. With this sheer volume, nearly every sports betting 153 00:09:24,640 --> 00:09:29,280 Speaker 1: operated worldwide is somehow connected to sports there and mostly 154 00:09:29,840 --> 00:09:32,640 Speaker 1: we are the primary provided for them if it comes 155 00:09:32,720 --> 00:09:36,400 Speaker 1: to the raw material to the data. But we are 156 00:09:36,559 --> 00:09:40,640 Speaker 1: much more interested beside the data. We really add products 157 00:09:40,720 --> 00:09:44,720 Speaker 1: on top of the data, stick probabilities, the trading products, 158 00:09:44,760 --> 00:09:48,880 Speaker 1: and that gives you them. The the simple ask all 159 00:09:49,000 --> 00:09:52,480 Speaker 1: clients which we know in the us M, count them 160 00:09:52,760 --> 00:09:54,840 Speaker 1: and look what else is in the market. And that's 161 00:09:54,840 --> 00:09:59,679 Speaker 1: how we came to the nine. So who's your competitor this? 162 00:10:00,040 --> 00:10:04,200 Speaker 1: Who's your competitor in in providing this data? I would 163 00:10:04,240 --> 00:10:11,040 Speaker 1: like that you're competitive, you know, let's say market companients. UM. 164 00:10:11,040 --> 00:10:15,120 Speaker 1: We have market companions in many sectors. So we are 165 00:10:15,120 --> 00:10:17,800 Speaker 1: not only providing data. We are providing all the O 166 00:10:17,880 --> 00:10:22,240 Speaker 1: rigual services UM. We are providing media services, UM. We 167 00:10:22,280 --> 00:10:27,719 Speaker 1: are providing integritew services UM and photologious elements. We have companions, 168 00:10:27,800 --> 00:10:30,800 Speaker 1: but we have not one who's providing the full range 169 00:10:30,880 --> 00:10:34,000 Speaker 1: which we provide. So from this perspective, you might say 170 00:10:34,080 --> 00:10:37,600 Speaker 1: we are unique. Carston. You know, it's funny you mentioned 171 00:10:37,640 --> 00:10:40,559 Speaker 1: integrity services, and earlier in our conversation you mentioned all 172 00:10:40,600 --> 00:10:43,400 Speaker 1: these new countries coming online. You mentioned Brazil, you mentioned Malaysia, 173 00:10:43,480 --> 00:10:46,280 Speaker 1: you mentioned China. You know, and let's just be clear. 174 00:10:46,320 --> 00:10:48,000 Speaker 1: You know, China is a black hole when it comes 175 00:10:48,000 --> 00:10:49,880 Speaker 1: to all things sport related. But let's just focus on 176 00:10:49,920 --> 00:10:52,120 Speaker 1: soccer for example, where the head of China's national soccer 177 00:10:52,200 --> 00:10:54,800 Speaker 1: federation has just been arrested on corruption charges. And again 178 00:10:55,200 --> 00:10:57,640 Speaker 1: this isn't the first time we've seen graft involved in 179 00:10:57,760 --> 00:11:00,440 Speaker 1: Chinese sports and athletics. And so my stion for you 180 00:11:00,559 --> 00:11:03,440 Speaker 1: is giving your focus on integrity. Given what sport Rader 181 00:11:03,520 --> 00:11:06,760 Speaker 1: does in helping to catch graft and gambling, gambling and 182 00:11:06,800 --> 00:11:09,200 Speaker 1: accuracies and and and and and cheating and things of 183 00:11:09,240 --> 00:11:11,959 Speaker 1: that nature, you know, how do you approach a country 184 00:11:12,000 --> 00:11:14,280 Speaker 1: like China in terms of doing all that you do. 185 00:11:16,400 --> 00:11:20,199 Speaker 1: I'm glad that you asked this question. So, look, sport 186 00:11:20,320 --> 00:11:27,040 Speaker 1: raders um vision and some principles is we are standing 187 00:11:27,240 --> 00:11:30,720 Speaker 1: for fair play UM. We want to have fair play 188 00:11:30,880 --> 00:11:34,240 Speaker 1: in the company amongst our people, with our clients but 189 00:11:34,360 --> 00:11:38,319 Speaker 1: also with sport Um and whatever we can can contribute 190 00:11:38,920 --> 00:11:42,400 Speaker 1: to make this happen is what we happenly do UM. 191 00:11:42,480 --> 00:11:46,800 Speaker 1: So finding now on one country like China is a 192 00:11:46,840 --> 00:11:49,960 Speaker 1: good sample, but there are many more countries which have 193 00:11:50,160 --> 00:11:54,200 Speaker 1: problems in this perspective. There are many more federations which 194 00:11:54,240 --> 00:11:57,160 Speaker 1: have issues with their members which tasted that because we're 195 00:11:57,200 --> 00:12:01,200 Speaker 1: probably not screen them good enough, or there are players 196 00:12:01,240 --> 00:12:04,480 Speaker 1: which are more exposed to manipulations than others and they 197 00:12:04,520 --> 00:12:08,120 Speaker 1: are not trained well enough. So for us UM we 198 00:12:08,240 --> 00:12:11,920 Speaker 1: see that as as as our obligation that we provide 199 00:12:11,960 --> 00:12:15,240 Speaker 1: these kind of services and that's not pure for profits, 200 00:12:15,240 --> 00:12:17,920 Speaker 1: so we do not earn money in the intecutal sector. 201 00:12:18,240 --> 00:12:22,440 Speaker 1: But integrity is one one area here. Another one is 202 00:12:22,480 --> 00:12:25,040 Speaker 1: responsible game. A third one is a m L where 203 00:12:25,080 --> 00:12:28,360 Speaker 1: you need to know you're clime. A fourth one is 204 00:12:28,760 --> 00:12:33,120 Speaker 1: can you can you really provide a system to regulators 205 00:12:33,120 --> 00:12:37,560 Speaker 1: that they can mutually tax up all the ones which 206 00:12:37,600 --> 00:12:39,880 Speaker 1: get a license there it's a big issue in many 207 00:12:39,920 --> 00:12:44,599 Speaker 1: countries and there is a big fraud ongoing. Other services 208 00:12:44,679 --> 00:12:47,160 Speaker 1: we can help business because we have a knowledge on this. 209 00:12:47,280 --> 00:12:50,320 Speaker 1: We have systems and platforms in place which can work 210 00:12:50,320 --> 00:12:53,240 Speaker 1: on it. We can analyze player behaviors, and that's what 211 00:12:53,280 --> 00:12:57,160 Speaker 1: we happened because we believe we must work on high 212 00:12:57,320 --> 00:13:00,559 Speaker 1: standards in this perspective, and we believe the only way 213 00:13:00,640 --> 00:13:03,400 Speaker 1: for regulating is the market is that you have the 214 00:13:03,480 --> 00:13:06,240 Speaker 1: highest standards and what other sport Radar can happen to 215 00:13:06,840 --> 00:13:09,319 Speaker 1: we are happily to in this. We are not criticizing 216 00:13:09,640 --> 00:13:13,319 Speaker 1: the contracts. Were trying to help them to open the 217 00:13:13,400 --> 00:13:17,160 Speaker 1: eyes and and in case if they want to regulate 218 00:13:17,280 --> 00:13:20,000 Speaker 1: markets and if they want to help us in that market, 219 00:13:20,360 --> 00:13:22,680 Speaker 1: we want to have that highest standards in and be 220 00:13:22,800 --> 00:13:25,920 Speaker 1: happy to invest you. So that's how we see this area. 221 00:13:26,800 --> 00:13:31,439 Speaker 1: Sport Radar. You guys are an official partner with NASCAR 222 00:13:31,720 --> 00:13:36,640 Speaker 1: ahead of the Daytona five hundred, the NBA, NASCAR, Uh, 223 00:13:36,679 --> 00:13:43,640 Speaker 1: the NHL. Did I mentioned NASCAR? Uh? I hear that 224 00:13:43,720 --> 00:13:48,000 Speaker 1: you like the NASCAR are in the silent period and 225 00:13:48,040 --> 00:13:51,520 Speaker 1: I can't even tell you exciting developments with NASCAR. That's 226 00:13:51,559 --> 00:13:57,000 Speaker 1: a that's a but you mentioned NASCAR. I heard that. Well. 227 00:13:57,440 --> 00:14:00,120 Speaker 1: See my question is because I mean you deal with 228 00:14:00,400 --> 00:14:03,439 Speaker 1: a lot of world sports obviously with FIFA and UEFA, 229 00:14:04,240 --> 00:14:08,640 Speaker 1: even the NBA obviously out that's reaching out in other 230 00:14:08,679 --> 00:14:11,520 Speaker 1: parts of the world. Nascar, I mean, let's be honest. 231 00:14:11,600 --> 00:14:14,800 Speaker 1: I'm I'm one of those guys, was born and raised 232 00:14:14,800 --> 00:14:18,280 Speaker 1: in Detroit, got family in the South, and I'm about 233 00:14:18,320 --> 00:14:23,000 Speaker 1: his classy sometimes as an outhouse. So just wondering if 234 00:14:23,480 --> 00:14:27,640 Speaker 1: NASCAR one day we'll have to spread its roots and 235 00:14:27,680 --> 00:14:33,360 Speaker 1: maybe people outside of the United States will embrace betting 236 00:14:33,360 --> 00:14:36,400 Speaker 1: with NASCAR. Have I told you already that we are 237 00:14:36,560 --> 00:14:43,960 Speaker 1: in the silent period, that the moment, yea. But let's 238 00:14:43,960 --> 00:14:47,600 Speaker 1: take it in this way I can unthoughtedly. Um. Now, 239 00:14:47,680 --> 00:14:50,040 Speaker 1: I can't tell you we have a corporation with some 240 00:14:51,040 --> 00:14:54,760 Speaker 1: imagine the NBA, it's with the n NHL, and it's 241 00:14:54,760 --> 00:14:59,000 Speaker 1: with the MR. Let's take hockey a book, which is 242 00:14:59,000 --> 00:15:04,240 Speaker 1: a more international sport. Thank you, thank you, and and 243 00:15:05,200 --> 00:15:08,480 Speaker 1: the target, like you're just said with NASCA, is the 244 00:15:08,560 --> 00:15:11,160 Speaker 1: same for hockey. UM. I was speaking to the team 245 00:15:11,200 --> 00:15:13,560 Speaker 1: owners that had the pleasant to be invited to their 246 00:15:14,080 --> 00:15:18,040 Speaker 1: annual meeting, and there's a big focus of saying, hey Carson, 247 00:15:18,320 --> 00:15:20,880 Speaker 1: um in how many countries do you have clients? And 248 00:15:21,040 --> 00:15:24,000 Speaker 1: that around about a hundred fifteen countries in the world. 249 00:15:24,400 --> 00:15:27,080 Speaker 1: Um is that then they're all consuming hockey? Is that 250 00:15:27,720 --> 00:15:31,280 Speaker 1: many of them do? Um? And with this you can 251 00:15:31,480 --> 00:15:35,160 Speaker 1: distribute the product of hockey all of a sudden two 252 00:15:35,200 --> 00:15:38,320 Speaker 1: hundred fifteen countries. Then it's only the question a lot 253 00:15:39,000 --> 00:15:41,360 Speaker 1: of a product do you allow? Do you allow a 254 00:15:41,480 --> 00:15:43,920 Speaker 1: product which is based on all the unusual feeds? We 255 00:15:43,960 --> 00:15:46,800 Speaker 1: have the technology. If we have that feeds, we can 256 00:15:46,880 --> 00:15:49,760 Speaker 1: enrich them this data and we can make this very sticky. 257 00:15:49,960 --> 00:15:53,160 Speaker 1: We can put even the speed of the park here 258 00:15:53,240 --> 00:15:56,880 Speaker 1: in the simulations and make this more repeating, and all 259 00:15:56,920 --> 00:16:00,560 Speaker 1: of a sudden, as hockey, you reach much more eye boats. 260 00:16:00,640 --> 00:16:03,160 Speaker 1: Then it's only a question can you read can you 261 00:16:03,200 --> 00:16:06,520 Speaker 1: read that eyeboats? Can you give them most preparably a 262 00:16:06,600 --> 00:16:09,680 Speaker 1: customized product that they get something which they want to see, 263 00:16:09,720 --> 00:16:12,360 Speaker 1: but the players which they want to see. But it 264 00:16:12,440 --> 00:16:16,040 Speaker 1: has an enormous potential to promote the brand that goes 265 00:16:16,120 --> 00:16:19,320 Speaker 1: by the way for older US sports I just was 266 00:16:19,400 --> 00:16:22,000 Speaker 1: talking about. The NBA is for sure a very global 267 00:16:22,080 --> 00:16:25,120 Speaker 1: business already touching a lot of eyeballs. But we even 268 00:16:25,160 --> 00:16:27,920 Speaker 1: can help here, and I think that's an important element. 269 00:16:28,000 --> 00:16:31,640 Speaker 1: So sports batting is touching sports fans, and we have 270 00:16:31,760 --> 00:16:35,760 Speaker 1: a huge distribution powering that if we have innovative products 271 00:16:36,000 --> 00:16:39,560 Speaker 1: which are appealing for the fans, it can promote sports 272 00:16:39,600 --> 00:16:44,400 Speaker 1: relatively cheaply and create that engagement, and that goes them 273 00:16:44,440 --> 00:16:50,160 Speaker 1: into sponsorship, merchandizing, ticketing, maybe sports batting, maybe gaming and gambling, 274 00:16:50,280 --> 00:16:55,280 Speaker 1: maybe hybrid activities. UM so a super territory. Carson Literate 275 00:16:55,360 --> 00:16:57,120 Speaker 1: the band aid off. You know, we're talking about hockey, 276 00:16:57,240 --> 00:17:01,160 Speaker 1: We're talking about NASCAR. Um last time you were he 277 00:17:01,240 --> 00:17:03,520 Speaker 1: visited us, you talked about some of the sports that 278 00:17:03,520 --> 00:17:05,679 Speaker 1: are taking off in sports gambling, you talked about cricket, 279 00:17:05,760 --> 00:17:08,040 Speaker 1: you talked about tennis. I mean, talk to us about 280 00:17:08,080 --> 00:17:10,199 Speaker 1: some of those other sports you know out along the fringe, 281 00:17:10,200 --> 00:17:12,479 Speaker 1: Like how are they doing? Are they really starting to 282 00:17:12,560 --> 00:17:16,040 Speaker 1: make a contribution in terms of in terms of you know, 283 00:17:16,119 --> 00:17:18,560 Speaker 1: the amount of the amount of money being wagered here 284 00:17:18,600 --> 00:17:22,480 Speaker 1: in the US and abroad. Yes, especially tennis, I can 285 00:17:22,520 --> 00:17:27,280 Speaker 1: tell you is very closely looking into this album and 286 00:17:27,280 --> 00:17:32,160 Speaker 1: and there are some some very exciting things on the horizon. 287 00:17:32,359 --> 00:17:35,800 Speaker 1: So I think tennis has a huge potential in the US. 288 00:17:35,880 --> 00:17:38,520 Speaker 1: It has a huge potential for sports betting, It has 289 00:17:38,560 --> 00:17:42,800 Speaker 1: a huge potential for doing something generally with the sports fan, 290 00:17:43,000 --> 00:17:46,439 Speaker 1: I think totally underdeveloped comparing it to other sports. So 291 00:17:47,480 --> 00:17:50,240 Speaker 1: I would love and we would love to be the 292 00:17:50,359 --> 00:17:53,879 Speaker 1: technology partner for tennis to help them for more and 293 00:17:53,960 --> 00:17:56,919 Speaker 1: the most experience here. And I think there is a 294 00:17:57,000 --> 00:18:00,000 Speaker 1: lot of things which can be done around this UM 295 00:18:00,040 --> 00:18:03,680 Speaker 1: and yeah, we touched last time on you developing sports, 296 00:18:03,680 --> 00:18:06,359 Speaker 1: and I think there are a couple of nice opportunities 297 00:18:06,440 --> 00:18:08,280 Speaker 1: in the US and some of the sports, some of 298 00:18:08,320 --> 00:18:10,960 Speaker 1: them probably not some of them dreamed at sports betting 299 00:18:11,440 --> 00:18:15,520 Speaker 1: that they are good for sports betting. But January, speaking 300 00:18:15,520 --> 00:18:18,040 Speaker 1: for a potential perspective, the US has one of the 301 00:18:18,040 --> 00:18:21,439 Speaker 1: biggest bill potentials to promote some more sports than the 302 00:18:21,480 --> 00:18:26,520 Speaker 1: Big Four. Carsten Carl, Founder, chief executive officer and director 303 00:18:26,600 --> 00:18:30,639 Speaker 1: of sport Radar, Thank you, sir very much for talking 304 00:18:30,680 --> 00:18:33,240 Speaker 1: with us on the Bloomberg Business of Sports. We really 305 00:18:33,240 --> 00:18:37,320 Speaker 1: do appreciate it. Pleasure. Thanks for having I'm Michael Lascar 306 00:18:37,600 --> 00:18:44,280 Speaker 1: and you can follow me more on Twitter at Big Bars. 307 00:18:44,600 --> 00:18:47,240 Speaker 1: All right, to complate that game, I'm Scarlett Hockey, follow 308 00:18:47,240 --> 00:18:49,560 Speaker 1: me on Twitter at Scarlett Pools and I'm Damian Tennis. 309 00:18:49,600 --> 00:18:52,680 Speaker 1: You can follow me at This has been the Bloomberg 310 00:18:52,680 --> 00:18:57,520 Speaker 1: business of NASCAR and you can follow the show every Monday, 311 00:18:57,640 --> 00:19:00,680 Speaker 1: Wednesday and Thursday by the way Down. Love this show 312 00:19:01,200 --> 00:19:07,440 Speaker 1: and wherever you get in the podcast. H