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Datasets:
luxury-lakehouse
/
expected-threat-grids

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Tags:
soccer
football
expected-threat
xT
analytics
License:
Dataset card Files
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The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 91, in _split_generators
                  pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 193, in _generate_tables
                  examples = [ujson_loads(line) for line in batch.splitlines()]
                              ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 20, in ujson_loads
                  return pd.io.json.ujson_loads(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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Expected Threat (xT) Grids

Data-driven xT grids computed via Markov chain value iteration from SPADL action data.

Method

Karun Singh (2018) "Introducing Expected Threat (xT)" — 12x8 grid, SPADL 105x68m coordinates. Value iteration converges to the probability that possession starting in each zone leads to a goal.

Contents

  • data/grids.parquet — All grids (per-competition + global) in long format
  • data/xt_grid_global.csv — Global grid CSV (dbt seed format)
  • metadata.json — Computation parameters and statistics

Columns (grids.parquet)

Column Type Description
zone_x int X zone index (0-11, attacking direction)
zone_y int Y zone index (0-7, pitch width)
xt_value float Expected threat value
competition_id string Competition ID or "global"

Usage 

import pandas as pd
from huggingface_hub import hf_hub_download

path = hf_hub_download("luxury-lakehouse/expected-threat-grids", "data/grids.parquet", repo_type="dataset")
grids = pd.read_parquet(path)
global_grid = grids[grids["competition_id"] == "global"]

License

MIT — derived from StatsBomb and Wyscout open data via SPADL.
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Models trained or fine-tuned on luxury-lakehouse/expected-threat-grids