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AI that spots basketball players’ weaknesses could help underdogs win

Analytics is widely used in basketball to inform team tactics

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An artificial intelligence can quickly assess basketball game data and extract information about the habits, strengths and weaknesses of players, which could prove valuable for coaches, particularly from smaller teams.

Alejandro Rodríguez Pascual at the University of Massachusetts, Amherst, and his colleagues have used data compiled and publicly released by US company Second Spectrum to train an AI model. The data included the 3D location of players and the ball throughout games in the 2015/16 National Basketball Association (NBA) …


Source: Humans - newscientist.com

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