We live on blood / We are Sparta F.C "Theme from Sparta FC" - The Fall

Model Performance

Every FINAL game is scored against each model's pre-game prediction, built only from rating snapshots dated before tip-off. The Book Closing Line row is the sportsbook benchmark. Model predictions are for analytical purposes only and do not constitute betting advice.

Spread predicted home margin vs. actual

Model Games MAE RMSE Winner %
Baseline (ML) 5,531 9.37 11.91 70.6%
Baseline Plus (ML) 5,425 9.29 11.79 70.6%
Model 3 (ML) 5,531 9.41 12.00 70.9%
Massey 5,531 9.53 12.10 70.4%
Book Closing Line 5,705 8.92 11.23 72.7%

Total predicted combined score vs. actual

Model Games MAE RMSE Bias
Baseline Plus (ML) 5,425 13.90 17.63 +3.68
Baseline (ML) 5,531 14.17 17.97 +4.38
Model 3 (ML) 5,531 14.27 18.12 +5.07
Massey Totals 5,531 14.10 17.74 -1.28
Book Closing Line 5,734 13.37 16.89 +0.60

Win Probability predicted home-win chance vs. outcome

Model Games Brier Accuracy
Baseline (ML) 5,531 0.1881 70.8%
Baseline Plus (ML) 5,425 0.1880 70.6%
Model 3 (ML) 5,531 0.1885 70.6%
Bradley-Terry 5,531 0.2076 68.8%
Weighted Bradley-Terry 5,531 0.2157 68.7%
Book Closing Line 5,503 0.1779 72.3%

vs. Closing Line identical games only — the honest head-to-head

Model Games Model MAE Book MAE Δ ATS O/U CLV
Baseline (ML) 5,487 9.37 8.89 +0.47 50.6% (5,487) 50.2% (5,513)
Baseline Plus (ML) 5,381 9.29 8.86 +0.43 50.5% (5,381) 50.4% (5,407)
Model 3 (ML) 5,487 9.41 8.89 +0.51 50.3% (5,487) 50.8% (5,513)
Massey 5,487 9.53 8.89 +0.64 50.3% (5,487)
Massey Totals 0 49.6% (5,513)

All columns pair each model with the book closing line on the same games, so coverage differences can't skew the comparison. ATS/O-U count only games where the model disagrees with the closing number (pushes excluded) — 52.4% is breakeven at standard −110 vig. CLV counts games where the line moved off the opener and the model had taken a side against it; above 50% means the market tended to move toward the model. Not betting advice.

Month by Month do the models close the gap to the book as the season develops?

Monthly accuracy over the full season (the window selector does not apply here). Lower is better for both metrics; the dashed line is the book benchmark. Early-season months reflect ratings that are still converging on limited games.

By Conference where does the model beat the book?

Conference Games Model MAE Book MAE Δ vs Book Winner %
Big South Conference 172 9.25 9.33 -0.07 78.5%
Horizon League 192 9.14 9.06 +0.08 71.4%
Atlantic Sun Conference 229 9.06 8.85 +0.21 73.4%
Southeastern Conference 364 10.13 9.86 +0.27 75.8%
Southwestern Athletic Conference 229 9.57 9.27 +0.30 70.7%
Conference USA 216 9.23 8.93 +0.30 63.0%
Sun Belt Conference 268 9.12 8.80 +0.32 67.9%
Big Sky Conference 184 8.85 8.40 +0.45 70.1%
Southland Conference 205 8.71 8.24 +0.47 68.3%
Mountain West Conference 238 9.67 9.17 +0.50 74.8%
Big 12 Conference 353 9.78 9.26 +0.53 76.5%
Southern Conference 184 9.05 8.52 +0.54 71.7%
Big West Conference 200 9.36 8.81 +0.54 68.0%
Missouri Valley Conference 213 10.05 9.49 +0.56 69.0%
Northeast Conference 184 8.88 8.29 +0.59 73.9%
Atlantic 10 Conference 290 9.30 8.70 +0.60 68.3%
American Conference 262 8.92 8.31 +0.61 71.4%
Big East Conference 228 9.31 8.69 +0.62 76.3%
Mid-American Conference 243 9.56 8.92 +0.64 71.6%
America East Conference 174 9.93 9.24 +0.69 74.1%
Summit League 166 10.34 9.64 +0.70 68.7%
Patriot League 193 9.34 8.62 +0.72 67.9%
West Coast Conference 243 9.79 9.05 +0.74 74.9%
Western Athletic Conference 132 8.89 8.11 +0.79 71.2%
Atlantic Coast Conference 384 9.35 8.55 +0.80 74.0%
Coastal Athletic Association 251 9.50 8.69 +0.81 66.9%
Big Ten Conference 383 10.21 9.39 +0.82 77.3%
Ohio Valley Conference 185 10.33 9.49 +0.84 64.3%
Mid-Eastern Athletic Conference 153 9.04 8.19 +0.85 70.6%
Metro Atlantic Athletic Conference 238 9.56 8.68 +0.88 71.0%
Ivy League 146 10.34 9.23 +1.11 69.2%

Paired comparison: only games where both the selected model and the book closing line made a spread prediction, sorted best-for-the-model first. Cross-conference games count toward both teams' conferences. Small samples swing wildly — read the Games column before drawing conclusions.

Calibration when a model says 70%, does the home team win 70% of the time?

Predictions are grouped into deciles of predicted home-win probability; each point compares the decile's average prediction (x) with the actual home-win rate (y). A perfectly calibrated model follows the dashed diagonal.