footsbviz
Zero-friction helpers to visualize StatsBomb Open Data — without manual data engineering.
⚠️ Not affiliated with StatsBomb. Please respect the StatsBomb Open Data license.
Install
pip install footsbviz
# or with optional viz extras:
pip install "footsbviz[viz]"
Quickstart
import footsbviz as fz
# events_df = (your StatsBomb events DataFrame with standard columns)
fig, ax = fz.create_shot_map_team(
events_df, team_name="Belgium", team_colour="#d00",
pitch_length_x=120, pitch_length_y=80,
orientation="horizontal", aspect="full",
x_dimensions=15, y_dimensions=7,
subtitle="Example Match", save_path=None, show=True
)
Credits
This library draws inspiration from community work on StatsBomb visuals. Certain function ideas and column expectations originated in publicly shared scripts; we re-implemented them in a package-friendly way and added a stable API. See CREDITS.md for attribution.
1 maintainer
Metadata
1 maintainer
Release files for footsbviz 0.2.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| footsbviz-0.2.0.tar.gz | 19.7 kB | Without provenance | Details for footsbviz-0.2.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| footsbviz-0.2.0-py3-none-any.whl | Python 3 | none | any | Details for footsbviz-0.2.0-py3-none-any.whl |
Total release size: 36.5 kB
Release files / footsbviz-0.2.0.tar.gz
| Download URL | footsbviz-0.2.0.tar.gz |
|---|---|
| Size | 19.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.12.4
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Release files / footsbviz-0.2.0-py3-none-any.whl
| Download URL | footsbviz-0.2.0-py3-none-any.whl |
|---|---|
| Size | 16.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.12.4
|
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