Carsten Koerl: It’s both, Ryan. So what it is doing is, we are getting deep data about the individual players. Now, with a thing like table tennis, you can translate this directly into possibilities of the two balls are played and make some predictive models, which are working pretty accurate on who might win this ball or who might lose it. So that’s a more simple exercise. If you look now to a team sport, like the NBA, it’s getting more complicated. You have more players on the pitch. But having that detailed information, of course, will drive better predictive models. And as told before, this combined with low latency, that’s the key here, its real time, to get this information, will drive a much better algorithm to control on one hand the latency, on the other hand, we have already the high liquidity from our clients.
That’s one side, which we can directly put into our best-performing betting product. Therefore we are pretty bullish on this. The other side is, yes, it enables some visualization opportunities, which we are very excited about. And that’s the reason why we’re very happy that Hawk-Eye won that NBA partnership. They deliver this real-time information and they deliver the wireframes for the players. Around this, you can render a new experience and enrich it with data and export this also in other segments.
Ryan Sigdahl: Great. Thanks guys. Good luck.
Operator: Please standby for our next question. Next question comes from Robin Farley with UBS. Your line is now open.
Robin Farley: Great. I don’t know if you mentioned the percent of in-play betting. You talked about the importance of it growing, but I’m sorry if I missed that percentage, if you gave that for the quarter?
Carsten Koerl: Carsten here, Robin. Nice to hear you. So look, we don’t report the in-plays on a quarterly basis, because we think it’s a long-term development. But like I told in the last call, we see that the US is fairly behind what we see in international markets. Let’s say in Europe, we see around about 80% of all bets are in-play in the US. That varies depending on the sport between 15% and 35%. But if we look now to our business and the participation, it’s of course much higher when we are coming to real-time data. So at the moment with the current business model, it means that any percentage increase where we see another patient that it goes from pre-match into in-play that renders for a spot rate of €1.2 million in revenues additionally. And that has practically no costs because we have the deployment systems and the products in place. Does that answer the question?
Robin Farley: I guess. I don’t know if you can add any more about sort of how much that opportunity moved in 2022? And how much do you think it will move in 2023, without giving the specific numbers but just maybe on a relative basis?
Carsten Koerl: We see there is a trend on a relatively basis Robin that the US follows the international market. We see more other patient on live betting. But as stated before, we don’t report this on a quarterly basis but I’m happy we update you on this also in a separate call and give you some more deeper insights.
Robin Farley: Okay. No, that’s helpful. Thanks. And then, just as a follow-up on your guidance for 2023. I assume that is, all of the contract changes that you have announced to-date, doesn’t require any additional developments or things to happen that you don’t know about today already that you haven’t announced. Is that fair?
