Daily win/loss predictions and value edges vs closing lines
Calibrated XGBoost | 2022-2026 (Transfer Portal Era)
LIVE
Today
JAN 05
Total Games
6
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
Oregon (8-6) @ Rutgers (7-7) Oregon (71.6%) 07:00 PM 28
Prairie View A&M (5-9) @ Southern (5-9) Southern (67.1%) 07:00 PM 33
Columbia (11-3) @ Cornell (7-6) Cornell (60.2%) 05:00 PM 50
Nebraska #13 (14-0) @ Ohio State (10-3) Ohio State (59.9%) 06:30 PM 75
Utah State (12-1) @ Boise State (9-5) Utah State (59.7%) 12:00 AM 60
Alabama State (4-10) @ Arkansas-Pine Bluff (4-10) Alabama State (51.2%) DOG 06:30 PM 49
Game Prediction Time (ET) Hype Level
Oregon (8-6) @ Rutgers (7-7) Oregon (71.6%) 07:00 PM 28
Game Prediction Time (ET) Hype Level
Columbia (11-3) @ Cornell (7-6) Cornell (60.2%) 05:00 PM 50
Nebraska #13 (14-0) @ Ohio State (10-3) Ohio State (59.9%) 06:30 PM 75
Alabama State (4-10) @ Arkansas-Pine Bluff (4-10) Alabama State (51.2%) DOG 06:30 PM 49
Game Prediction Edge Time (ET) Hype Level
Game Pick Confidence Moneyline Expected Value Time (ET)
Prairie View A&M @ Southern Prairie View A&M DOG 32.9% +285 ⭐⭐⭐ +26.8% 07:00 PM
Oregon @ Rutgers Oregon FAV 71.6% -245 ⭐ +0.8% 07:00 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 6 games today.

XGBoost Win/Loss Model

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

Efficiency Diff
0.3877
Point Spread
0.1560
Srs Diff Rolling
0.1472
Away Team Implied Probability
0.0899
Home Team Implied Probability
0.0681
Home Last10 Margin
0.0630
Home Moneyline
0.0565
Away Moneyline
0.0363
Away Offensive Rating
0.0321
Away Team Win %
0.0276
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