IBM and USTA Unveil AI-Driven Analytics for 2026 US Open

The centerpiece of the tournament's digital experience is a new Live Updates homepage, which allows fans to curate match coverage based on individual player preferences. Complementing this is the Serve Quality metric, a tool that monitors 21 distinct biomechanical data points—from wrist flex to leg energy transfer—at a frequency of 50 times per second. By processing these inputs through IBM Confluent, the system generates a near real-time score for every serve across all 254 singles matches, quantifying the mechanics behind a successful point.

Beyond individual shots, the Key Moments feature upgrades the existing Likelihood to Win model. While the latter calculates victory probability based on historical data and match momentum, Key Moments provides narrative context, highlighting the specific turning points and sudden shifts that define a match's outcome. These features are supported by an enhanced Match Chat, powered by watsonx Orchestrate. This interactive companion now provides conversational answers enriched with photos and video, utilizing AI agents trained specifically in the USTA’s editorial style and technical tennis terminology to mirror the atmosphere on the court.