Computational Evaluation of FIFA Football AI Pro as a Generative AI Framework for Intelligent Football Performance Analytics

FIFA's Football AI Pro, developed with Official Technology Partner Lenovo and deployed at the 2026 FIFA World Cup, is a generative artificial intelligence assistant built on a domain-specific Football Language Model and provided to all 48 competing national teams. This paper presents a computational evaluation of Football AI Pro based on publicly disclosed technical and operational information, since no independent access to the system or its training data is currently available. A structured evaluation framework is applied across six dimensions: data scale and coverage, architectural sophistication, explainability, accessibility, operational risk controls and data governance transparency. The evaluation suggests that the platform is credible mainly because it uses FIFA's large proprietary dataset. This dataset is larger and more consistent than those used in most football machine learning research. However, there is no independent evidence to confirm its explainability and governance claims. The paper concludes that Football AI Pro is a reliable and well-developed generative AI platform for sports analytics. However, its evaluation is based mainly on claims made by the company, not on independent technical testing. Keywords: generative AI; large language models; Sports Analytics; FIFA; Football AI Pro; computational evaluation