Google DeepMind's New AI Model Can Help Soccer Teams Take the Perfect Corner

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TacticAI, a soccer AI model created by Google DeepMind, makes predictions about where corners will go, and suggests tweaks to make goals more—or less—likely.

The most exciting young coach in soccer might not be at Bayer Leverkusen or Stade de Reims, or even Bologna FC. It might be at Google DeepMind. For the past few years, the search giant’s artificial intelligence division has been working with Liverpool Football Club to bring AI to the world’s most popular sport. In 2021, DeepMind researchers developed a model that could predict where players would hit a penalty based on their outfield position.

Based on the arrangement of players at the moment the kick is taken, TacticAI can predict which player is most likely to make the first contact on the ball, and whether a shot will be taken as a result. It can then generate recommendations for the best ways to adjust player position and movement to either maximize the chance of a shot being taken or minimize it —shifting a defender across to cover the near post, for instance, or putting a man on the edge of the area.

 

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