ClarusC64/epl-inplay-quad-field-tilt-box-load-break-v0.1
EPL In-Play Quad Sustained Pressure Breakthrough v0.1 What this dataset is You test whether a model can detect when sustained attacking pressure converts into a breakthrough goal. Each row represents a live attacking sequence snapshot. Core quad coupling Field tiltCross frequencyBox occupancyClearance success rate The label asks Will the attacking team score in the next sequence Why this matters Pressure alone does not cause goals. Pressure combined with clearance instability and second-ball… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/epl-inplay-quad-field-tilt-box-load-break-v0.1.
EPL In-Play Quad Sustained Pressure Breakthrough v0.1
What this dataset is
You test whether a model can detect when sustained attacking pressure converts into a breakthrough goal.
Each row represents a live attacking sequence snapshot.
Core quad coupling
Field tilt Cross frequency Box occupancy Clearance success rate
The label asks
Will the attacking team score in the next sequence
Why this matters
Pressure alone does not cause goals.
Pressure combined with clearance instability and second-ball wins drives collapse.
This dataset tests pressure-to-breakthrough transition detection.
Columns
matchid season minute second attackingteam opponent homeaway scorefor scoreagainst fieldtilt5min crosses5min boxoccupancyavg clearancesuccess5min secondballwins5min xgnextsequence shotsnextsequence goalnextsequence labelgoalnextsequence
Target label
labelgoalnext_sequence
Evaluation
Use scorer.py.
Predictions accepted
0 or 1 goal or no_goal probability float
Files
data/train.csv scorer.py
License
MIT