The All England Lawn Tennis Club has partnered with IBM to use artificial intelligence to analyze player performance and predict match outcomes. Writes about it The Next Web.
To collect data about the players, the company’s engineers installed many sensors on 18 Wimbledon courts. IBM also used historical data, automated match tracking systems and NLP analysis of media discussions.
The collected data was converted by the 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 their probability of winning each match.
According to an IBM spokesman, in the early days of the tournament, predictions were 100% accurate on center and first courts. However, it was more difficult to assess the outcome of the match on small venues.
“When you go to some of the outside courts and lesser-known players, there is less data available, so it’s harder to make a correct prediction,” said Kevin Farrar, head of IBM Sports Partnerships in the UK.
IBM also used AI to create the Match Insights feature, which generates 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 the highlights.
“It’s all meant to attract spectators so that Wimbledon can achieve its goal of growing fan base,” Farrar said.
Recall that in July, FIFA announced that it would use an AI algorithm to determine offsides in the upcoming World Cup in Qatar.
In July 2021, tennis was named the most “euphoric” sport by artificial intelligence.
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The All England Lawn Tennis Club has partnered with IBM to use artificial intelligence to analyze player performance and predict match outcomes. Writes about it The Next Web.
To collect data about the players, the company’s engineers installed many sensors on 18 Wimbledon courts. IBM also used historical data, automated match tracking systems and NLP analysis of media discussions.
The collected data was converted by the 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 their probability of winning each match.
According to an IBM spokesman, in the early days of the tournament, predictions were 100% accurate on center and first courts. However, it was more difficult to assess the outcome of the match on small venues.
“When you go to some of the outside courts and lesser-known players, there is less data available, so it’s harder to make a correct prediction,” said Kevin Farrar, head of IBM Sports Partnerships in the UK.
IBM also used AI to create the Match Insights feature, which generates 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 the highlights.
“It’s all meant to attract spectators so that Wimbledon can achieve its goal of growing fan base,” Farrar said.
Recall that in July, FIFA announced that it would use an AI algorithm to determine offsides in the upcoming World Cup in Qatar.
In July 2021, tennis was named the most “euphoric” sport by artificial intelligence.
Subscribe to Cryplogger news in Telegram: Cryplogger AI – all the news from the world of AI!
Found a mistake in the text? Select it and press CTRL+ENTER
