How each team plays

摘要

Is a team high-pressing or deep-defending? Do they build up patiently or play direct? This dataset captures each WC 2026 team's tactical fingerprint across 12 playing-style dimensions.

The dataset lives at data/wc2026/team_style_vectors.csv, one row per participant (48 total — including placeholder rows for teams with zero coverage). It is produced by scripts/build_team_style_vectors.py from the StatsBomb open dataset; per-match feature tables cache to data/raw/statsbomb_features/ (gitignored) so re-runs against the same fixture list are cheap. Teams with no StatsBomb coverage are backf…

示例

What each row carries

Column	Definition
`possession_share`	Fraction of total possessions the team had.
`ppda`	Passes per defensive action — a press-intensity proxy (lower = higher press).
`directness_index`	A measure of how directly the team moves the ball goalward; higher = more direct.
`build_up_passes_per_attack`	Average number of build-up passes per attacking sequence.
`crossing_rate`	Crosses per 90.
`long_ball_rate`	Long passes per 90.
`tempo_passes_per_min`	Pace of play: open-play passes per minute of the team's own possession (`minutes × possession_share`). Higher = quicker ball circulation; decoupled from how much possession the team has.
`set_piece_routine_variety`	Distinct corner / FK routine signatures observed.
`final_third_entries_per_90`	Entries into the attacking third per 90.
`shots_per_90`	Self-explanatory.

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