The All England Lawn Tennis Club has partnered with IBM to use artificial intelligence to analyze player performance and predict match results. This was written by The Next Web.

To collect data about the players, the company’s engineers placed many sensors on the 18 Wimbledon courts. IBM also used historical data, automated match tracking systems, and NLP analysis of media debates.

The collected data was converted by algorithms into digital functions available in the Wimbledon app.

They include the IBM Power Index, which ranks players before and during the tournament. The prediction model then determines the probabilities of winning each match.

According to an IBM spokesperson, the predictions were 100% correct on the center and first courts in the early days of the tournament. However, it was more difficult to evaluate the result of the match in small venues.

“When you go to some of the outer courts and the lesser known players, there’s less data, so it’s harder to make an accurate estimate,” said Kevin Farrar, head of IBM Sports Partnerships in the UK.

IBM also used artificial intelligence to create the Match Insights feature, which creates tennis player newsletters, and the In the Media section, which analyzes expert opinions.

Fans can enter their own predictions, access personalized recommendations, and watch personalized clips of highlights.

“This is all to attract spectators so that Wimbledon can achieve its growing fan base,” Farrar said.

Recall that in July, FIFA announced that it will use an AI algorithm to determine offsides at the upcoming World Cup in Qatar.

In July 2021, tennis was named the happiest sport by artificial intelligence.