Teams are collecting more sophisticated data through players wearables, sleep monitors, and even saliva. These new methods help decide when to rest a player to prevent injuries before they happen.

University of Michigan - Ann Arbor

The National Basketball Association (NBA) leverages data science and analytics for various strategic applications, including designing winning game strategies, predicting and preventing player injuries, and evaluating players during scouting.

Data Analytics in the NBA

Predicting and avoiding player injury

Drafting is extremely important in the NBA so teams leverage analytics to minimize the risk of their pick. They use advanced stats and videos to evaluate the up side versus risk of a potential player.

Scouting in NBA

NBA teams can use camera-derived player-movement data and analytical models to examine defensive matchups and offensive plays. Coaches can use these analyses to identify vulnerabilities in opposing teams and develop more specific game plans.

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