sports-visualization
Create honest sports-analysis figures from user-owned data, including distributions, rates, rating trajectories, calibration plots, and walk-forward metric comparisons. Use for exploration and communication.
- Version
- 0.12.0
- License
- MIT
Pinned to revision 009f9c6daccf, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/sports-visualization/SKILL.md
- skills/sports-visualization/references/honest_labels.md
- skills/sports-visualization/references/plot_catalog.md
- skills/sports-visualization/scripts/plot_home_margin_hist.py
- skills/sports-visualization/scripts/plot_home_win_rate.py
- skills/sports-visualization/scripts/plot_walkforward_metrics.py
Every link opens the file at its source, pinned to the revision this page describes.