Model Performance

All Seasons · 16,785 graded predictions

In-sample data: 12,997 of 16,785 predictions were generated after games completed. Only the 3,788 prospective predictions are reliable for evaluation. Metrics will become trustworthy as the current season progresses and daily ETL generates pre-game predictions.
66%
Overall Accuracy
0.2229
Brier Score (↓ better)
0.7058
Log Loss (↓ better)
0.6820
AUC (↑ better)
16,785
Predictions Graded

Calibration

When the model says X%, does the favored team win X% of the time? The vertical bar shows the predicted probability; the filled bar shows actual.

50–55%2059 games51% actual(-2pp)
55–60%2258 games55% actual(-2pp)
60–65%2189 games59% actual(-4pp)
65–70%2296 games65% actual(-3pp)
70–75%1763 games70% actual(-3pp)
75–80%1483 games76% actual(-2pp)
80–100%4737 games78% actual(-13pp)
Actual win rate Predicted

Score Projection Accuracy

How close were the Monte Carlo score projections to actual results?

4.8
Avg margin error (runs)
+0.8
Margin bias (under-projects)
55%
Own-line cover rate
Within 2 runs of projected margin28%
Within 5 runs of projected margin61%

Based on 16785 games with score projections.

D1 Diamond Top 25 — 2026 Season

Composite ranking of all D1 teams with ≥5 games played.

#TeamRecordEloRun DiffScore
1GT4591841+6.092
2UCLA4861830+4.590
3UNC44101839+4.687
4UGA43121826+4.387
5TEX40121804+3.786
6MSST39161756+4.081
7ORST43121737+3.080
8TA&M38141765+3.780
9AUB36181771+3.179
10FLA37181756+2.477
11FSU38161758+2.977
12WVU37131752+3.277
13USM40141714+2.576
14WAKE38181732+3.275
15MISS37191759+2.375
16ORE38151725+2.575
17CBU1931621+3.975
18JVST42131679+3.074
19NEB41141739+2.574
20USC41141698+3.074
21TENN37191746+2.473
22CAM39151666+2.973
23KU39161730+1.873
24ASU36181671+2.673
25ARK36191750+2.372

Minimum 5 games played. wOBA/FIP from FanGraphs.

By Confidence Tier

Accuracy when the model is highly confident in its pick.

ConfidenceGamesAccuracy
60%1246871%
65%1027973%
70%798376%
75%622077%

Top Teams by Elo

Rolling Elo rating (1500 = average). Updated after every game result.

RankTeamGamesElo
1Georgia Tech Yellow Jackets2891841
2North Carolina Tar Heels3031839
3UCLA Bruins2891830
4Georgia Bulldogs2901826
5Texas Longhorns3031804
6Auburn Tigers2911771
7Texas A&M Aggies3051765
8Ole Miss Rebels2951759
9Florida State Seminoles2911758
10Mississippi State Bulldogs2861756

How to Read This

Overall Accuracy — % of games where the model's favored team won.

Brier Score — measures probability calibration quality. Lower is better.

Log Loss — penalises confident wrong predictions more harshly than Brier score. Lower is better.

AUC — probability that the model ranks a random home win above a random home loss. 0.5 = no skill; 1.0 = perfect.

Calibration chart — a perfectly calibrated model's bar would exactly touch the line in every bucket.

Elo ratings — self-correcting power ratings that update after every game. 1500 is average.