Skip to content
← Back to Workshop

[Auto] Blueprint (Py): SHAP Explainable Elo Model (Linear)

PYTHON · game_spread · v1.0.0 · Trained 3/31/2026

ATS Win Rate
48.0%
Total Bets
5940
RMSE
13.18
SU Accuracy
n/a

Report methodology

This public report summarizes model performance from stored metrics, out-of-fold predictions, cross-validation folds, and the latest available track record. It is analytics-only decision support and does not guarantee betting outcomes.

OOF sample count: 0

Report generated 8/3/2026, 9:30:08 AM

We use cookies for essential site functionality. With your consent, we also use cookies for analytics and performance monitoring. See our Privacy Policy.