US Open Partners with IBM for Enhanced Match Analysis

The US Open tennis tournament has partnered with IBM to enhance fan engagement and provide more nuanced analysis of matches. The new app, developed by IBM, uses AI to break down player performance into detailed data points, including serve quality metrics that examine limb and racket movements. This provides a holistic view of a player's performance, indicating whether they are 'hot' or 'cold' on a given serve.

Sam Querrey, a former professional tennis player, noted the growing prevalence of data in sports, stating that coaches can use complex data to give players actionable insights. The app also features a 'match chat' function, which uses natural language processing to answer user questions and provide a richer interactive experience.

The 'key moments' feature aims to provide a deeper narrative of the match, going beyond simply noting set wins. This approach helps fans connect more deeply with the ebb and flow of the competition. The app's utility extends beyond the immediate match, as players can review past performances of opponents to prepare for future matchups.