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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.

Oct 9, 2026

Graham Local vs. Springfield Shawnee

Correct
Projected
29–15
Final
49–0
Projected winner
Graham Local
Margin error
35.1

Oct 9, 2026

Eaton vs. Brookville

Missed
Projected
20–21
Final
62–48
Projected winner
Brookville
Margin error
15.3

Oct 9, 2026

Bethel-Tate vs. Clermont Northeastern

Correct
Projected
16–21
Final
9–13
Projected winner
Clermont Northeastern
Margin error
1.5

Oct 9, 2026

Vincent Warren vs. Richmond Edison

Missed
Projected
19–20
Final
29–28
Projected winner
Richmond Edison
Margin error
1.2

Oct 9, 2026

Vinton County vs. Bidwell River Valley

Correct
Projected
24–14
Final
32–7
Projected winner
Vinton County
Margin error
14.2

Oct 9, 2026

Union Local vs. Buckeye Local

Correct
Projected
28–14
Final
54–7
Projected winner
Union Local
Margin error
32.9

Oct 9, 2026

St. Clairsville vs. Brooke

Correct
Projected
22–15
Final
14–13
Projected winner
St. Clairsville
Margin error
6.3

Oct 9, 2026

Meadowbrook vs. Morgan

Missed
Projected
20–16
Final
6–7
Projected winner
Meadowbrook
Margin error
4.1

Oct 9, 2026

Logan Elm vs. Fairland

Missed
Projected
20–23
Final
49–13
Projected winner
Fairland
Margin error
39.4

Oct 9, 2026

Hebron Lakewood vs. Utica

Correct
Projected
15–20
Final
7–48
Projected winner
Utica
Margin error
35.3

Oct 9, 2026

John Glenn vs. Maysville

Correct
Projected
22–23
Final
13–29
Projected winner
Maysville
Margin error
15.3

Oct 9, 2026

Indian Valley vs. Garaway

Missed
Projected
24–26
Final
28–21
Projected winner
Garaway
Margin error
9.2

Oct 9, 2026

Heath vs. Johnstown

Correct
Projected
21–26
Final
17–28
Projected winner
Johnstown
Margin error
6.4

Oct 9, 2026

Gallia Academy vs. Chesapeake

Missed
Projected
17–18
Final
19–14
Projected winner
Chesapeake
Margin error
5.5

Oct 9, 2026

Fairfield Union vs. Amanda-Clearcreek

Correct
Projected
25–17
Final
40–0
Projected winner
Fairfield Union
Margin error
31.7

Oct 9, 2026

Claymont vs. Tuscarawas Valley

Correct
Projected
27–18
Final
35–0
Projected winner
Claymont
Margin error
26.6

Oct 9, 2026

Circleville vs. Liberty Union

Correct
Projected
20–18
Final
41–14
Projected winner
Circleville
Margin error
25.0

Oct 9, 2026

Cambridge vs. Weir

Correct
Projected
17–16
Final
42–21
Projected winner
Cambridge
Margin error
20.4

Oct 9, 2026

Bexley vs. Bishop Ready

Missed
Projected
18–22
Final
21–14
Projected winner
Bishop Ready
Margin error
10.9

Oct 9, 2026

Van Wert vs. Ottawa-Glandorf

Correct
Projected
23–24
Final
26–38
Projected winner
Ottawa-Glandorf
Margin error
11.0

Oct 9, 2026

Upper Sandusky vs. Willard

Correct
Projected
23–18
Final
28–20
Projected winner
Upper Sandusky
Margin error
2.9

Oct 9, 2026

Triway vs. Akron Manchester

Correct
Projected
26–25
Final
38–6
Projected winner
Triway
Margin error
30.8

Oct 9, 2026

Rossford vs. Fostoria

Correct
Projected
25–12
Final
49–13
Projected winner
Rossford
Margin error
23.7

Oct 9, 2026

Ontario vs. Shelby

Missed
Projected
26–25
Final
7–41
Projected winner
Ontario
Margin error
34.2

Oct 9, 2026

Keystone vs. Columbia

Missed
Projected
23–27
Final
34–7
Projected winner
Columbia
Margin error
30.2

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.