A Survey of Large Models in Sports
How AI language models are transforming sports analysis and fan engagement
Large language models and multimodal AI systems are being deployed across sports to analyze games, predict outcomes, and enhance fan experiences. This survey catalogues over 100 applications—from real-time commentary generation to injury prediction—and identifies the datasets and benchmarks powering this emerging field.
Sports organizations already use AI for strategy and scouting; this research maps exactly where large language models create value versus where they fall short. Teams, broadcasters, and app developers can use this guide to invest in the AI tools most likely to improve performance or engagement rather than chasing overhyped applications. The field is still fragmented across different datasets and benchmarks, so this consolidation work helps prevent duplicated effort and wasted resources.