Football Analytics Data Stack Components

A football club's analytics data stack has five layers: (1) video — match and training footage; (2) event data — structured on-ball action logs for matches; (3) tracking data — player and ball position at high frequency (optical or wearable GPS); (4) training data — the same data types but captured in training sessions; (5) academy data — equivalent data from youth development. Most clubs have match event data and video. Fewer have optical tracking. Almost none have training-level event data. The gap between match data and training data is the primary constraint on player development analytics.

When assessing a club's analytical capability, inventory all five layers. The questions to ask: Is match event data integrated into analysis workflows or just purchased and unused? Is tracking data available for opponents? Is training data captured at event level or only GPS/wearables? Is academy data structured and comparable to first-team data? The answers determine what analyses are possible and what the highest-value investments are.

1. Treating event data as the complete stack: Event data is one layer. Missing tracking data means no positional context; missing training data means no sample size for rare skills.
2. Assuming opponent tracking data is available: In most leagues, clubs have tracking for their own matches but not necessarily opponents' training or full positional data.