Overview
As the Official Cloud and Cloud AI Partner of the NBA, WNBA, and other NBA affiliate leagues, AWS will provide new advanced analytics, power fan experiences, and enhance broadcasting capabilities.
The NBA and AWS collaboration leverages artificial intelligence, machine learning, and high-performance computing to transform how basketball data is processed and presented.
AWS AI will help the NBA track and share statistics measuring previously intangible aspects of player performance. The advanced stats use AWS machine learning to track Shot Difficulty (xFG%), Defensive Pressure, Gravity, and Leverage—all of which expand the league’s ability to quantify any individual player’s impact on the court.
NBA on AWS stats can be found in the “Inside the Game” section on NBA.com (link below).
Example Use Cases for NBA on AWS
"Gravity" and Player Impact Metrics: This capability uses machine learning to quantify the "unseen" influence of a player. By processing optical tracking data 60 times per second, AWS calculates how much a player like Steph Curry "pulls" defenders toward them, even without the ball. This helps coaches and analysts measure how a superstar's presence creates open space and higher-percentage shots for their teammates.
AI Powered "Play Finder" for Real-Time Insights: Built using Amazon Bedrock and SageMaker, this tool allows broadcasters and teams to instantly search through thousands of games for specific play types (e.g., "pick-and-rolls vs. drop coverage"). During a live broadcast, it can trigger real-time alerts and historical comparisons, allowing commentators to explain a team's strategy with immediate data-backed context rather than waiting for post-game analysis.
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