Zero-friction visuals for StatsBomb open data (no data engineering).
Project description
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.
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