| --- |
| language: [en] |
| license: mit |
| task_categories: |
| - tabular-classification |
| - tabular-regression |
| tags: |
| - football |
| - soccer |
| - tracking |
| - spadl |
| - pitch-control |
| - team-shape |
| - line-breaking |
| - expected-threat |
| size_categories: |
| - 10K<n<100K |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: "data/*.parquet" |
| --- |
| |
| # SPADL Tracking Context |
|
|
| Unified action-coupled tracking features for football matches. One row per SPADL action, enriched with 66 tracking-derived features from the [silly-kicks](https://github.com/karsten-s-nielsen/silly-kicks) library. |
|
|
| ## Quick Start |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("luxury-lakehouse/spadl-tracking-context") |
| df = ds["train"].to_pandas() |
| print(df.columns.tolist()) # 83 columns |
| ``` |
|
|
| ## Feature Groups |
|
|
| | Group | Columns | Reference | |
| |-------|---------|-----------| |
| | Action context | nearest_defender_distance, actor_speed, receiver_zone_density, defenders_in_triangle_to_goal | — | |
| | Actor pre-window | actor_arc_length_pre_window, actor_displacement_pre_window | — | |
| | Pressure | pressure_on_actor__andrienko_oval, __link_zones, __bekkers_pi | Andrienko 2017, Bekkers 2023 | |
| | Pitch control | pitch_control_at_ball__spearman, __fernandez_bornn, __voronoi | Spearman 2018, Fernandez & Bornn 2018 | |
| | Defensive line | defensive_line_x, back_line_high_x, compactness_x, lateral_width, max_lateral_gap, back_n_count | — | |
| | Off-ball context | line_break, n_attackers_behind_line, n_off_ball_runners_*, ... | Power 2017 | |
| | Ward line-breaking | line_break__ward, lines_broken__ward, line_breaking_type__ward | Karakus & Arkadas 2025 | |
| | Team shape | team_shape_{metric}_{attacking/defending} (14 cols) | Clemente 2013 | |
| | DAS | das_team, das_opponent, das_diff | Bischofberger & Baca 2026 | |
| | GK influence | gk_pitch_control_share_weighted, gk_reachable_area_m2, gk_closing_time_* | Anzer & Bauer 2021 | |
| | Cover shadows | n_blocked_receivers, blocking_score, blocked_threat_fraction, ... | — | |
| | Sync score | sync_score_min, sync_score_mean, sync_score_high_quality_frac | — | |
| | GK context | defending_gk_player_id, gk_was_distributing, gk_was_engaged, gk_actions_in_possession | — | |
| |
| ## Providers |
| |
| | Provider | Matches | |
| |----------|---------| |
| | IDSSE (Bundesliga) | 7 | |
| | Metrica (open data) | 3 | |
| | SkillCorner (open data) | 10 | |
| |
| ## Data Fields |
| |
| All feature columns are `float64` (nullable NaN) unless noted. Identity columns: `data_source` (string), `match_id` (string), `action_id` (int), `period_id` (int), `time_seconds` (float), `team_id` (string), `player_id` (string), `type_name` (string), `start_x`/`start_y`/`end_x`/`end_y` (float, SPADL 105x68). |
| |
| ## License |
| |
| MIT — see repository for details. |
| |
