Daily win/loss predictions and value edges vs closing lines
Calibrated XGBoost | 2022-2026 (Transfer Portal Era)
LIVE
Today
MAR 27
Total Games
4
Model
XGBoost
Features
144
Training Set
25,500+
Season
2025-26

Model Information

  • XGBoost Win/Loss Model: 144 features, trained on ~25,500 games (2022-2026 transfer portal era, 1.5x recency weighting)
  • XGBoost Points Model: 143 features, trained on ~39,700 samples (2023-2026 current scoring era, 8.0x weighting on 2026 games)
  • Walk-Forward Validated Accuracy: 75.6% (77.8% excluding COVID 2021 season)
  • Points Model Performance: MAE 6.10, R² 0.671 (improved with aggressive current-year weighting)
  • Prediction Features: Uses 2026 season rolling stats (current team performance, updated daily)
  • Confidence Penalties: 15% neutral site reduction, 10% underdog reduction (ML strategies)

📅 All Games Today

Game Prediction Time (ET) Hype Level
St. John's #10 (30-6) @ Duke #1 (34-2) Duke (73.3%) 07:10 PM 87
Alabama #18 (25-9) @ Michigan #3 (33-3) Michigan (71.1%) 07:35 PM 84
Tennessee #23 (24-11) @ Iowa State #6 (29-7) Iowa State (65.0%) 10:10 PM 90
Michigan State #11 (27-7) @ UConn #7 (31-5) UConn (56.6%) 09:45 PM 98
Game Prediction Time (ET) Hype Level
St. John's #10 (30-6) @ Duke #1 (34-2) Duke (73.3%) 07:10 PM 87
Game Prediction Time (ET) Hype Level
Michigan State #11 (27-7) @ UConn #7 (31-5) UConn (56.6%) 09:45 PM 98
Game Prediction Edge Time (ET) Hype Level
Game Pick Confidence Moneyline Expected Value Time (ET)
Alabama @ Michigan Alabama DOG 28.9% +440 ⭐⭐⭐ +56.2% 07:35 PM
Duke vs St. John's Duke FAV 73.3% -258 ⭐ +1.7% 07:10 PM
UConn vs Michigan State UConn FAV 56.6% -130 ⭐ +0.2% 09:45 PM
Game Prediction Time (ET) Hype Level
Game Prediction Edge Time (ET) Hype Level
Game Prediction Edge Time (ET) Hype Level

Model Explainability (SHAP Analysis)

SHAP (SHapley Additive exPlanations) values show which features have the most impact on our model's predictions. The values below represent the mean absolute SHAP value across all 4 games today.

XGBoost Win/Loss Model

Feature importance for win/loss predictions. Higher values indicate stronger influence on the predicted outcome.

Away Team Implied Probability
0.1887
Srs Diff Rolling
0.1859
Conference Game True
0.0761
Point Spread
0.0639
Quality Dominance Diff
0.0566
Home Team Implied Probability
0.0373
Signal Agreement
0.0345
Away Opp Fg Pct
0.0302
Away True Shooting Pct
0.0295
Dominance Diff
0.0274
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