Technology
U.S. Open integrates AI metrics for fan tracking and player analysis
IBM's platform analyzes court data to evaluate serve metrics, calculate live win odds, and assist player preparation.
The short version
- Cameras at Arthur Ashe Stadium capture player movements and ball data, which IBM's Watsonx platform converts into a serve quality metric out of 100.[CBS News]
- The official U.S. Open mobile application offers real-time win probability predictions, in-match summaries, and an artificial intelligence assistant.[CBS News]
- Competitors including Jessica Pegula use the data to study opponents' serving tendencies, though players note on-court strategic shifts still require personal instinct.[CBS News]
Key facts
- Arthur Ashe Stadium uses perimeter cameras to monitor ball paths, rackets, and player limb motions such as knee and elbow flexion.[CBS News]
- IBM's Watsonx platform processes tracking inputs to generate a serve quality score out of 100 based on consistency, accuracy, and efficiency.[CBS News]
- IBM projected that more than one billion data points will be gathered by the end of the tournament.[CBS News]
- The tournament application features real-time win likelihood models, key moment text summaries, and an assistant called Match Chat.[CBS News]
What remains uncertain
- The degree to which pre-match data models remain useful when opponents alter their expected tactics during live play.[CBS News]
Sources
Outlet counts describe coverage, not independent confirmation. Reports may share a wire service or original source.
- How AI is reshaping the U.S. Open for players and fansCBS News - Top Stories