UE Labs
Case Study · Sports · Scouting· Sportokol

AI Player Analysis and Scouting for Youth Clubs

AI-driven scouting with Claude-powered player analysis, streaming chat assistant, and automated performance rankings.

LiveSports · Scouting
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// The work

Youth scouts captured player observations as unstructured video notes and tournament scorecards. They needed structured player analysis, a rankings engine, and a way to query scouting history conversationally from mobile devices at pitch-side.

The team built a Supabase-native backend with 20+ row-level security policies for multi-tenant club isolation. Claude Haiku powers streaming chat via Deno edge functions over server-sent events. A four-dimension ratings engine runs automatically as scouts submit reports.

// The numbers

Outcomes

The platform runs in production across multiple youth clubs. Scouts submit reports from mobile devices at pitch-side and see their notes answered by the streaming assistant in real time, with player rankings updated as new reports come in.

3
AI features in production
50+
Components shipped
20+
Row-level security policies
4D
Player ratings engine