ClarusC64/epl-inplay-quad-pre-goal-collapse-window-v0.1
EPL In-Play Quad Pre-Goal Collapse Window v0.1 What this dataset is You test whether a model can detect an in-play collapse window before a goal. Each row represents a live match-state snapshot. The label asks Will a goal occur in the next 120 seconds Core quad coupling Press intensityDefensive line heightTurnover zonexG per possession Why this matters Most football models explain goals after the fact. This dataset tests pre-goal instability detection. Intended use You feed a row. You output a… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/epl-inplay-quad-pre-goal-collapse-window-v0.1.
EPL In-Play Quad Pre-Goal Collapse Window v0.1
What this dataset is
You test whether a model can detect an in-play collapse window before a goal.
Each row represents a live match-state snapshot.
The label asks
Will a goal occur in the next 120 seconds
Core quad coupling
Press intensity Defensive line height Turnover zone xG per possession
Why this matters
Most football models explain goals after the fact.
This dataset tests pre-goal instability detection.
Intended use
You feed a row.
You output a prediction
0 no goal in next 120s 1 goal in next 120s
Columns
matchid season minute second teaminpossession opponent homeaway scorefor scoreagainst pressintensity01 defensivelineheightm turnoverzone def mid att turnoverforced 0 1 transitionseconds xgnextpossession shotsnext120s goalnext120s labelgoalnext120s
Target label
labelgoalnext_120s
Evaluation
Use scorer.py.
Input predictions can be
0 or 1 goal or no_goal probability float where 0.5 is threshold
Files
data/train.csv scorer.py
License
MIT