Skip to main content

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

Reset

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.

Oct 2, 2026

Valley View vs. Middletown Madison

Correct
Projected
26–17
Final
42–7
Projected winner
Valley View
Margin error
25.8

Oct 2, 2026

Unioto vs. Piketon

Missed
Projected
25–22
Final
21–22
Projected winner
Unioto
Margin error
4.0

Oct 2, 2026

Taylor vs. Reading

Correct
Projected
18–22
Final
14–17
Projected winner
Reading
Margin error
1.0

Oct 2, 2026

Shroder vs. Clark Montessori

Correct
Projected
17–19
Final
6–19
Projected winner
Clark Montessori
Margin error
11.3

Oct 2, 2026

Oakwood vs. Brookville

Correct
Projected
25–21
Final
42–0
Projected winner
Oakwood
Margin error
38.1

Oct 2, 2026

Norwood vs. Stivers School For The Arts

Missed
Projected
15–19
Final
42–0
Projected winner
Stivers School For The Arts
Margin error
46.0

Oct 2, 2026

Dayton Northridge vs. Riverside

Correct
Projected
16–25
Final
18–40
Projected winner
Riverside
Margin error
12.4

Oct 2, 2026

Milton-Union vs. Troy Christian

Missed
Projected
16–20
Final
39–18
Projected winner
Troy Christian
Margin error
25.1

Oct 2, 2026

McClain vs. Washington CH

Correct
Projected
20–22
Final
6–41
Projected winner
Washington CH
Margin error
33.4

Oct 2, 2026

Indian Hill vs. Finneytown

Correct
Projected
27–13
Final
58–0
Projected winner
Indian Hill
Margin error
44.5

Oct 2, 2026

Graham Local vs. Springfield Northwestern

Correct
Projected
26–15
Final
51–6
Projected winner
Graham Local
Margin error
33.6

Oct 2, 2026

Bethel-Tate vs. East Clinton

Correct
Projected
19–15
Final
40–6
Projected winner
Bethel-Tate
Margin error
30.3

Oct 2, 2026

Vincent Warren vs. John Marshall

Correct
Projected
13–24
Final
18–44
Projected winner
John Marshall
Margin error
14.3

Oct 2, 2026

Vinton County vs. McDermott Northwest

Correct
Projected
25–12
Final
38–15
Projected winner
Vinton County
Margin error
10.0

Oct 2, 2026

St. Clairsville vs. Bellaire

Missed
Projected
19–22
Final
34–28
Projected winner
Bellaire
Margin error
8.6

Oct 2, 2026

Philo vs. River View

Correct
Projected
27–12
Final
48–0
Projected winner
Philo
Margin error
34.0

Oct 2, 2026

Meadowbrook vs. New Lexington

Correct
Projected
15–29
Final
0–47
Projected winner
New Lexington
Margin error
32.5

Oct 2, 2026

Logan Elm vs. Amanda-Clearcreek

Missed
Projected
23–16
Final
22–27
Projected winner
Logan Elm
Margin error
12.3

Oct 2, 2026

Hebron Lakewood vs. Newark Catholic

Correct
Projected
15–23
Final
30–52
Projected winner
Newark Catholic
Margin error
13.4

Oct 2, 2026

Indian Valley vs. Tuscarawas Valley

Correct
Projected
29–16
Final
41–7
Projected winner
Indian Valley
Margin error
20.8

Oct 2, 2026

Heath vs. Johnstown Northridge

Correct
Projected
22–20
Final
49–8
Projected winner
Heath
Margin error
39.3

Oct 2, 2026

Gallia Academy vs. Rock Hill

Missed
Projected
15–20
Final
28–27
Projected winner
Rock Hill
Margin error
5.7

Oct 2, 2026

Claymont vs. WL Ridgewood

Correct
Projected
27–22
Final
14–8
Projected winner
Claymont
Margin error
0.3

Oct 2, 2026

Circleville vs. Fairfield Union

Correct
Projected
22–23
Final
7–28
Projected winner
Fairfield Union
Margin error
20.1

Oct 2, 2026

Cambridge vs. Union Local

Correct
Projected
14–27
Final
7–55
Projected winner
Union Local
Margin error
35.8

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.