This is like giving West Ham’s scouting team a super-smart digital assistant that watches players, tracks their stats, and flags promising talent they might otherwise miss.
Traditional scouting is manual, biased, and limited by how many games humans can watch; this system uses data and AI to systematically surface and score potential recruits across a much larger pool of players.
Combination of club-specific historical performance data, proprietary scoring models tuned to West Ham’s playing style, and tight integration into existing scouting workflows creates switching costs over time.
Hybrid
Vector Search
Medium (Integration logic)
Data quality and consistency across leagues and sources; latency and cost of ingesting and processing large, continuous streams of match and tracking data.