“Data Analytics was a big step,” says Jan Wendt Sky Sports. “This is a giant jump in the evolution of soccer data.” Wendt is co-founder PlatierA company that helps bring in the artificial intelligence technology into the football of the Premier League.
They are already working with four prime leagues and 10 times a large number on a global scale. By external data and using AI to come up with, they provide guidelines on transfers, cohesion provisions and is now the time to release coaches.
The initial Wendta and his business partner was the use of AI as a forecast tool, but soon realized that only measurement football is the main challenge for the decision decision makers. “It is currently equally important to make better decisions.”
He built what claims that the biggest database was built in football – “Exotic Network Data on Events, Inforement Data and salaries over 100 leagues” – those with all of the owners on data analysts to change the analysts.
“We look at three steps. One, we can tell you exactly how strong your squad and how much you need to achieve your goals. Two, we can tell you the expected influence of every player on your team difference at the end of the season.
“We provide a very clear insight, so know exactly what will target to become stronger. The third part helps clubs find the right players, make money in the best possible way..
. You can just listen to them cough.
“Then a guy with Rangen comes together. That doesn't mean the decisions were wrong, it gives you an extra level of insight into what happens. We offer an additional tool. It offers the owner of a very transparent view of what is happening in their Club.
“If you want to get to Europe, it's your competitors and it's how strong they are. Want to surpass them? You will have to do this. We will need to do it as strong as your composition, providing a clear picture, providing a clear picture of how to get to the next level. “
While all clubs have access to the same data PlatierHow are they used different. Some were willing to use it as a filter to better target your scouts, while others are circled and prefer them as a feeling as a feeling.
“They create a list of players who are creating a list of players, which recommends and see if there is an overlap. The more careful clubs. The more advanced way to use it to find the recommendations.”
Surprise of the forecast of the canoe
What are lessons learned? “Defensive positions are cheaper than offensive positions.” May not surprise. But the consequences of gaining to expand the new attacker can be complex. Has more than goals they the result.
Some insights can be shocked. When Harry Kane has signed for Bayern Munich, for example, Platier He made headings in Germany when their models were discovered that the Bundesliga signing would not have a positive impact on the team.
“In the end they had a noon difference from 54 without him and 49 with him,” says Wendt. Bayern has been the lowest for 13 years. “Tottenham also became better, he won more points, he achieved more goals and had a better difference from the goal. That's how we and we simulated.”
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Harry Kane performed a perfect turn and scored a score for a rating for Bayern Munich v. Freiburg
The cane is not easy, just recognition that football team sports is with many moving parts. Add some team and you can lose something elsewhere. “The first season with Erling Haaland, Manchester City scored less goals,” the Wendt adds.
The calculation of the individual influence of players is extremely useful for clubs when making employment and retention decisions. “This is the most used tool.” When by clicking on the button, Wendt can show probably the consequence of replacing a player with another.
“Event data has been 15 years or older. What we want to measure is the efficiency of the system, and not how they can dribble or how fast they are. How a player contributes to the team? We have to work.
“It's all that matters because this is a team sport with a lot of dependence and correlation. What is like a helicopter, it is necessary to find patterns in these billion correlations. There is so much data, what is important?
“If we suggested to join Manchester City, we simulated 38 games against each Prime League 100,000 times to see how it works. You cannot handle this information manually, to kill on your computer.” It would be necessary to kill a computer. “
By continuing with Manchester City, he makes his point. “For example, EDERSON or STEFAN ORTEGA? The result is almost the same.” But then he removes Rodri from the city side. “He has a huge influence.” And that would be marked as a risk long ago before his injury.
“A player like Rodri is in the range of 7000 at our metric. There may be 200 or so many players at 6000 levels, so there is a risk that is good. Can you replace Roger Federer in your Team Davis Cup? “
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We single out from the conflict of the Premier League between Arsenal and Manchester City
Impact on the trainer overpriced
Unlike Wendt's view of the world-class significant influence, the impact of the coach is something that is considered overpaid. He did not enter that with pre-imaginary ideas. It was a finding. “It was surprising to us for us,” he admits.
“One of the more interesting learning from AI is that the quality of the player is responsible for about 90 percent of sports success, and the contribution of the coach is only about 10 percent. Now, 10 percent can still difference.
“But trainers tend to just end the team with the team. No coaches in our system over the last 10 years, it has long been shaped, with several exceptions.” Who are they? “Christian Streich in Freiburg and Pepe Guardiola in Manchester City.”
The recent struggles of Guardiola – without rallet, of course – just serve to highlight the point. Can also work otherwise. The models also suggested, contrary to the popular opinion, that Jurgen Klopp did not formerly drift in Liverpool.
Wendt shows a chart that has Klopp right on the line of the place where the results can be expected for this quality. “You can see Jurgen is here, right on the green line, as was in the previous season.” This line represents the execution in accordance with expectations.
Again is not discredit Klopp. Part of the reason that these players are so very evaluated is because Klopp has improved them. “Jurgen contributed to that, of course. And it's not that the art slot does not deserve a loan. But it is a very strong squad,” says Wendt.
“I think our models show that Liverpool has the strongest squad in Europe, perhaps the other strongest squad. If the new coach comes with fresh motivation, and he is able to add two percent, and then the results can be stunning.”
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Highlights from the Match Premier League between Bournemouth and Liverpool
Templition to change the coach will only become a US transfer window closed only. “It's the only real thing you can change now. It's like a beat of Mary in football.” But through the insights they provide PlatierHope is that better decisions will be made.
“The owners always have this problem, is my detachment insufficient or is a coach that does not receive the best performance from the detachment, for example. It was not necessary. It was basically as good as the composition.”
Wendt talks on “market education” and “providing a more precise basis for decisions” in the industry that can still be able to feel emotion and intestines. One suspects that could only be the beginning because Platier intends to expand their reach.
“We now have some psychological parameters. We can predict the injuries. It's an extraordinary tool and add things every few weeks, but in a careful way because it's already too much. If it's all involved it's hard to work.”
Football seems to be more complex. It is ironic that the goal is all this decision-making is simpler. “We want to make black and white for the club. This player is either good enough to make you better or not. Simply like that.” Welcome to the world AI.