In Reply to: UCLA at Michigan Preview posted by mh on February 13, 2026 at 11:15:21
By the website hoopsci.com using their analytic formula: LAGRANGE_MEPVS v3.98b.
Model 7: LAGRANGE_MEPVS v3.98b XGBoost Gradient Boosting
Description: The most accurate model from our Phase I research. We methodically and meticulously performed feature engineering and research into feature importances. What we brought forward were the most 'vanilla' of those features, leaving more complex ones for Phase 2.
Theory: Gradient boosting on vanilla features (efficiency, pace, team strength, venue, rest). Captures non-linear interactions between these core metrics.
Example: N/A (Complex non-linear interactions).
Strengths: Highest accuracy (72.8%), robust cross-validation. Represents the peak of Phase I research.
Don't ask me to explain this. I can't.