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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 Oct 15, 2026

Accuracy calculated Oct 16, 2026 8:00 AM EDT

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Performance summary

2,842 games evaluated with ospr-2026.1

Games evaluated

2,842

Winner accuracy

68.5%

1,947 correct

Average margin error

22.5

Lower is better

Average score error

13.3

Per-team points

Brier score

0.203

Probability accuracy

Close projection rate

14.1%

Correct and within 7

Regular season vs. playoffs

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

Regular season

Games
2,842
Winner accuracy
68.5%
Margin error
22.5

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
Week 3 358 62.3% 21.9
Week 4 354 65.3% 23.5
Week 5 356 74.4% 22.6
Week 6 357 80.4% 22.7
Week 7 358 75.4% 22.0
Week 8 348 71.3% 21.8
Week 9 4 25.0% 26.2

Probability calibration

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

Probability Games Predicted Observed Gap Brier
0–9% 13 8.5% 7.7% -0.8 0.069
10–19% 178 15.9% 9.6% -6.4 0.091
20–29% 302 25.5% 23.2% -2.3 0.178
30–39% 445 35.1% 35.1% 0.0 0.227
40–49% 562 45.1% 43.6% -1.5 0.245
50–59% 478 54.9% 57.7% +2.9 0.247
60–69% 404 64.8% 71.0% +6.2 0.205
70–79% 325 74.8% 79.7% +4.9 0.162
80–89% 128 84.0% 86.7% +2.7 0.113
90–99% 7 91.9% 85.7% -6.1 0.127

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 2,368 69.6% 22.4 points
Medium 31 80.6% 23.7 points
Low 443 61.9% 22.6 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 1,515 62.4% 22.9 points
Close Game 2,021 62.8% 22.3 points
Upset Possible 1,886 61.9% 22.1 points
Blowout Range 1 100.0% 23.8 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
Sep 11, 2026 Farrell vs. Reynolds 25–24 84–0 82.5 points
Sep 25, 2026 Normandy vs. Rocky River 14–28 0–83 68.7 points
Sep 18, 2026 Trotwood-Madison vs. Taft 23–17 72–0 65.6 points
Sep 26, 2026 Bedford vs. Cleveland JFK 18–17 66–0 64.8 points
Sep 18, 2026 John Adams vs. Cleveland JFK 16–18 68–6 64.4 points

Evaluated games

The game-level record behind the summary above.

Sep 25, 2026

Champion vs. LaBrae

Correct
Projected
19–21
Final
17–21
Projected winner
LaBrae
Margin error
1.2

Sep 25, 2026

Buckeye Local vs. Oak Glen

Correct
Projected
17–24
Final
14–41
Projected winner
Oak Glen
Margin error
19.7

Sep 25, 2026

Cardinal Mooney vs. St. Francis

Correct
Projected
21–26
Final
22–34
Projected winner
St. Francis
Margin error
7.7

Sep 25, 2026

Berkshire vs. Fairview Park

Correct
Projected
21–19
Final
26–15
Projected winner
Berkshire
Margin error
8.8

Sep 25, 2026

Beachwood vs. Brooklyn

Correct
Projected
20–16
Final
14–12
Projected winner
Beachwood
Margin error
2.6

Sep 25, 2026

Wyoming vs. Mariemont

Correct
Projected
29–17
Final
45–10
Projected winner
Wyoming
Margin error
23.7

Sep 25, 2026

Waynesville vs. Dayton Christian

Missed
Projected
22–25
Final
42–14
Projected winner
Dayton Christian
Margin error
30.6

Sep 25, 2026

Waverly vs. Oak Hill

Correct
Projected
22–15
Final
49–0
Projected winner
Waverly
Margin error
41.2

Sep 25, 2026

Unioto vs. Adena

Correct
Projected
27–18
Final
39–0
Projected winner
Unioto
Margin error
29.9

Sep 25, 2026

Oakwood vs. Valley View

Missed
Projected
29–19
Final
14–34
Projected winner
Oakwood
Margin error
29.5

Sep 25, 2026

Springfield Northwestern vs. Springfield Shawnee

Missed
Projected
18–17
Final
0–32
Projected winner
Springfield Northwestern
Margin error
33.7

Sep 25, 2026

Dayton Northridge vs. Miami East

Correct
Projected
17–27
Final
0–38
Projected winner
Miami East
Margin error
27.7

Sep 25, 2026

Milton-Union vs. Sidney Lehman

Correct
Projected
19–15
Final
22–0
Projected winner
Milton-Union
Margin error
18.8

Sep 25, 2026

Indian Hill vs. Taylor

Correct
Projected
30–14
Final
45–0
Projected winner
Indian Hill
Margin error
29.6

Sep 25, 2026

Hillsboro vs. Washington CH

Correct
Projected
17–22
Final
55–61
Projected winner
Washington CH
Margin error
0.8

Sep 25, 2026

Graham Local vs. Benjamin Logan

Correct
Projected
25–24
Final
32–24
Projected winner
Graham Local
Margin error
7.3

Sep 25, 2026

Eaton vs. Middletown Madison

Correct
Projected
22–18
Final
41–7
Projected winner
Eaton
Margin error
30.0

Sep 25, 2026

Bethel-Tate vs. Norwood

Correct
Projected
18–17
Final
21–15
Projected winner
Bethel-Tate
Margin error
5.3

Sep 25, 2026

Vinton County vs. Alexander

Correct
Projected
20–19
Final
36–28
Projected winner
Vinton County
Margin error
6.8

Sep 25, 2026

Union Local vs. Martins Ferry

Correct
Projected
23–27
Final
20–45
Projected winner
Martins Ferry
Margin error
21.1

Sep 25, 2026

St. Clairsville vs. Wheeling Park

Missed
Projected
19–22
Final
49–7
Projected winner
Wheeling Park
Margin error
45.3

Sep 25, 2026

River View vs. Crooksville

Correct
Projected
15–22
Final
0–49
Projected winner
Crooksville
Margin error
42.1

Sep 25, 2026

Meadowbrook vs. Philo

Correct
Projected
18–25
Final
6–38
Projected winner
Philo
Margin error
25.1

Sep 25, 2026

Maysville vs. Coshocton

Correct
Projected
20–18
Final
44–0
Projected winner
Maysville
Margin error
42.3

Sep 25, 2026

Marion Franklin vs. Africentric

Correct
Projected
25–15
Final
27–8
Projected winner
Marion Franklin
Margin error
8.6

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.