What shapes a match

How each team plays

Zusammenfassung + Auszug · vollständiges Dokument umfasst 1,219 Wörter

Zusammenfassung

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…

Auszug

What each row carries

ColumnDefinition
possession_shareFraction of total possessions the team had.
ppdaPasses per defensive action — a press-intensity proxy (lower = higher press).
directness_indexA measure of how directly the team moves the ball goalward; higher = more direct.
build_up_passes_per_attackAverage number of build-up passes per attacking sequence.
crossing_rateCrosses per 90.
long_ball_rateLong passes per 90.
tempo_passes_per_minPace 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_varietyDistinct corner / FK routine signatures observed.
final_third_entries_per_90Entries into the attacking third per 90.
shots_per_90Self-explanatory.

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