AI that spots basketball players’ weaknesses could help underdogs win

Washington Wizards' Bradley Beal drives to basket

Analytics are widely used in basketball to inform team tactics

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Artificial intelligence can quickly evaluate basketball game data and extract information about player habits, strengths, and weaknesses. This can prove valuable, especially for small team coaches.

Alejandro Rodríguez Pascual of the University of Massachusetts Amherst and his colleagues trained an AI model using data compiled and published by the US company Second Spectrum. The data included a player and his 3D position of the ball during a 2015/16 National Basketball Association (NBA) game…

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