Highlight
- IBM introduces 'Match Chat' at Wimbledon 2025, offering real-time AI-driven match insights.
- The company enhances ‘Likelihood to Win’ tool with upgraded projections using player data and match momentum.
- IBM delivers AI and cloud-based solutions across 175+ countries, serving sectors like finance, telecom, and healthcare.
IBM (NYSE: IBM), in collaboration with the All England Lawn Tennis Club, has announced new AI-powered features for the 2025 Wimbledon Championships, aimed at enhancing fan engagement throughout the tournament. Two key updates include the introduction of 'Match Chat', an interactive assistant powered by generative AI, and an upgraded version of the existing ‘Likelihood to Win’ projection feature.
These additions reflect an ongoing partnership between IBM and Wimbledon, now in its 35th year, with a shared focus on leveraging data and technology to deliver real-time tennis insights. The solutions operate on IBM's enterprise AI and data platform, watsonx, and are designed to offer fans additional perspectives on live singles matches.
A key highlight of this year’s tournament is the debut of Match Chat, a digital assistant that allows users to engage with matches in real time by asking natural-language questions. Available through the official Wimbledon App and website, Match Chat enables fans to receive instant match-specific insights such as “who has more break point conversions?” or “who is performing better?”
This assistant is powered by watsonx Orchestrate and uses IBM’s Granite large language models, trained specifically on tennis terminology and Wimbledon’s editorial tone. Beyond live matches, Match Chat will also be incorporated into IBM’s Slamtracker for select high-profile contests, extending access to post-match analyses and player performance breakdowns.
Alongside Match Chat, IBM has enhanced its ‘Likelihood to Win’ tool, which provides dynamic win probabilities throughout a match. The projections are based on a range of variables, including player performance data, match momentum, and inputs from expert analyses. The tool adjusts as each match unfolds, giving fans an evolving perspective on which player may emerge victorious.
This functionality is supported by IBM's hybrid cloud infrastructure and Red Hat OpenShift, allowing seamless deployment and scalability of these features across digital platforms.
Both features are part of a broader strategy by the All England Club to create more immersive digital experiences for Wimbledon viewers. By combining structured match data with generative AI, the Club aims to serve both dedicated tennis fans and newer audiences who seek real-time information and context as they follow matches.
The IBM Slamtracker, already a staple of the digital Wimbledon experience, will continue to be the main platform for accessing these features during the 2025 Championships.
Usama Al-Qassab, Marketing & Commercial Director at the All England Club, emphasized the Club's ongoing commitment to enhancing the Wimbledon experience across different channels, including digital platforms. According to Al-Qassab, the integration of generative AI features is part of an effort to encourage deeper interaction with the tournament content among a global audience.
Jonathan Adashek, Senior Vice President of Marketing and Communications at IBM, noted that the Match Chat and predictive tools illustrate how AI models can be tailored to improve fan understanding of fast-paced sporting events.
IBM continues to develop AI and cloud-based solutions across various industries, with a presence in over 175 countries. The company supports clients in sectors including financial services, telecommunications, and healthcare. Its technology stack includes Red Hat OpenShift, which underpins many of its AI applications, and Watsonx, its generative AI platform. IBM emphasizes a focus on data security, transparency, and scalable cloud integration.
The new digital tools are expected to be fully functional and accessible to users on the Wimbledon App and the official tournament website throughout the two-week event.






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