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Public validation record

2026 Football Model Performance

These results use official OSPR projections locked before kickoff and evaluated against final scores. Mirrored schedule records and live forecasts are excluded.

Evaluated through Aug 29, 2026

Accuracy calculated Aug 31, 2026 9:59 AM EDT

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Performance summary

707 games evaluated with ospr-2026.1

Games evaluated

707

Winner accuracy

59.7%

422 correct

Average margin error

22.6

Lower is better

Average score error

13.1

Per-team points

Brier score

0.236

Probability accuracy

Close projection rate

12.4%

Correct and within 7

Regular season vs. playoffs

A direct comparison using the selected season, week, team, and OSPR model version.

Regular season

Games
707
Winner accuracy
59.7%
Margin error
22.6

Playoffs

Games
0
Winner accuracy
Margin error

Performance by week

Results for the selected model version and season phase.

Week Games Winner accuracy Margin error
Week 1 355 58.3% 22.0
Week 2 351 61.0% 23.3

Probability calibration

Observed win rate should approach the average predicted probability as sample sizes grow.

Probability Games Predicted Observed Gap Brier
0–9% 1 8.5% 0.0% -8.5 0.007
10–19% 32 16.7% 18.8% +2.0 0.160
20–29% 81 25.9% 34.6% +8.6 0.234
30–39% 117 35.2% 40.2% +5.0 0.237
40–49% 167 45.5% 48.5% +3.0 0.250
50–59% 128 54.6% 50.8% -3.8 0.256
60–69% 96 65.2% 67.7% +2.6 0.217
70–79% 73 74.6% 68.5% -6.1 0.218
80–89% 12 83.1% 58.3% -24.7 0.301

Performance by prediction confidence

Newer snapshots use historical calibration and comparable sample size. Legacy snapshots fall back to rating-evidence confidence.

Confidence Games Winner accuracy Average margin error
High 252 55.6% 22.8 points
Medium 21 76.2% 21.5 points
Low 434 61.3% 22.5 points

Performance by risk indicator

A game may appear in more than one group because indicators describe different kinds of uncertainty.

Indicator Games Winner accuracy Average margin error
Limited Data 706 59.6% 22.6 points
Close Game 535 56.8% 22.8 points
Upset Possible 505 56.0% 22.4 points

Largest misses

The largest margin errors in this selection. A miss is a model result to learn from, not automatically a data error.

Date Matchup Projected Final Margin error
Aug 21, 2026 Anna vs. Spencerville 19–22 60–0 63.2 points
Aug 29, 2026 Warrensville Heights vs. Cleveland JFK 18–20 57–0 59.2 points
Aug 28, 2026 West Clermont vs. Anderson 24–17 19–70 58.8 points
Aug 28, 2026 Ross vs. Thurgood Marshall 19–20 57–0 57.4 points
Aug 29, 2026 John Marshall vs. Rocky River 17–24 0–63 56.8 points

Evaluated games

The game-level record behind the summary above.

Aug 20, 2026

Toledo St. John's vs. Scott

Correct
Projected
23–14
Final
44–8
Projected winner
Toledo St. John's
Margin error
26.9

Aug 20, 2026

Akron Garfield vs. Norton

Correct
Projected
17–28
Final
7–49
Projected winner
Norton
Margin error
30.9

Aug 20, 2026

Moeller vs. Princeton

Correct
Projected
23–26
Final
24–31
Projected winner
Princeton
Margin error
4.3

Aug 20, 2026

Fairmont vs. Archbishop Alter

Missed
Projected
24–23
Final
7–14
Projected winner
Fairmont
Margin error
7.7

Aug 20, 2026

St. Ignatius vs. Avon

Correct
Projected
18–29
Final
21–22
Projected winner
Avon
Margin error
9.8

Aug 20, 2026

Massillon Jackson vs. Chardon

Missed
Projected
22–23
Final
34–13
Projected winner
Chardon
Margin error
21.3

Aug 15, 2026

West Union (club) vs. Foxfire

Correct
Projected
21–22
Final
6–12
Projected winner
Foxfire
Margin error
5.2

How to interpret these numbers

Winner accuracy shows whether OSPR favored the team that won. Average margin error shows how far the projected point margin was from the final margin.

Brier score measures probability quality from 0 to 1; lower is better. Calibration compares predicted win probabilities with observed outcomes.

Small groups can swing sharply, so every percentage is shown with its evaluated game count.

Injuries, roster changes, weather, and information not reflected in recorded results may affect individual games.