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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 11, 2026

Archbishop McNicholas vs. Roger Bacon

Missed
Projected
18–25
Final
42–6
Projected winner
Roger Bacon
Margin error
42.0

Sep 11, 2026

Vincent Warren vs. Hillsboro

Missed
Projected
15–21
Final
50–47
Projected winner
Hillsboro
Margin error
8.1

Sep 11, 2026

Vinton County vs. Meigs

Missed
Projected
26–18
Final
24–35
Projected winner
Vinton County
Margin error
19.1

Sep 11, 2026

Union Local vs. Harrison Central

Correct
Projected
25–18
Final
48–7
Projected winner
Union Local
Margin error
34.0

Sep 11, 2026

St. Clairsville vs. Linsly

Correct
Projected
20–21
Final
29–32
Projected winner
Linsly
Margin error
2.7

Sep 11, 2026

Meadowbrook vs. Coshocton

Correct
Projected
21–17
Final
26–14
Projected winner
Meadowbrook
Margin error
7.8

Sep 11, 2026

Hebron Lakewood vs. Licking Valley

Correct
Projected
15–24
Final
7–54
Projected winner
Licking Valley
Margin error
38.7

Sep 11, 2026

Indian Creek vs. Weir

Correct
Projected
22–12
Final
42–7
Projected winner
Indian Creek
Margin error
25.3

Sep 11, 2026

John Glenn vs. River View

Correct
Projected
20–17
Final
55–0
Projected winner
John Glenn
Margin error
51.7

Sep 11, 2026

Heath vs. Washington CH

Missed
Projected
20–21
Final
58–28
Projected winner
Washington CH
Margin error
30.9

Sep 11, 2026

Fairfield Union vs. Logan Elm

Missed
Projected
19–22
Final
42–0
Projected winner
Logan Elm
Margin error
45.0

Sep 11, 2026

Gallia Academy vs. Portsmouth

Correct
Projected
16–17
Final
0–34
Projected winner
Portsmouth
Margin error
32.3

Sep 11, 2026

Circleville vs. Amanda-Clearcreek

Correct
Projected
23–17
Final
21–0
Projected winner
Circleville
Margin error
15.4

Sep 11, 2026

Carrollton vs. Claymont

Correct
Projected
18–28
Final
6–49
Projected winner
Claymont
Margin error
32.6

Sep 11, 2026

Cambridge vs. Brooke

Correct
Projected
16–18
Final
6–56
Projected winner
Brooke
Margin error
48.5

Sep 11, 2026

Bloom-Carroll vs. Liberty Union

Missed
Projected
19–20
Final
42–13
Projected winner
Liberty Union
Margin error
30.4

Sep 11, 2026

Wauseon vs. Evergreen

Correct
Projected
22–16
Final
45–14
Projected winner
Wauseon
Margin error
25.9

Sep 11, 2026

Vermilion vs. Elyria Catholic

Correct
Projected
24–20
Final
20–17
Projected winner
Vermilion
Margin error
1.7

Sep 11, 2026

Upper Sandusky vs. Carey

Missed
Projected
24–20
Final
14–49
Projected winner
Upper Sandusky
Margin error
39.4

Sep 11, 2026

Rossford vs. Eastwood

Missed
Projected
23–19
Final
34–42
Projected winner
Rossford
Margin error
11.7

Sep 11, 2026

Port Clinton vs. Ottawa Hills

Missed
Projected
22–24
Final
45–13
Projected winner
Ottawa Hills
Margin error
33.1

Sep 11, 2026

Perkins vs. Harvest Prep

Correct
Projected
26–17
Final
52–13
Projected winner
Perkins
Margin error
30.3

Sep 11, 2026

Huron vs. Margaretta

Correct
Projected
15–25
Final
7–26
Projected winner
Margaretta
Margin error
9.4

Sep 11, 2026

Galion vs. Shelby

Correct
Projected
21–26
Final
14–31
Projected winner
Shelby
Margin error
11.9

Sep 11, 2026

Milan Edison vs. Northwood

Correct
Projected
19–24
Final
31–34
Projected winner
Northwood
Margin error
1.6

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.