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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 4, 2026

Fort Loramie vs. Sidney Lehman

Correct
Projected
21–20
Final
49–0
Projected winner
Fort Loramie
Margin error
48.2

Sep 4, 2026

Bradford vs. Mississinawa Valley

Correct
Projected
22–17
Final
34–12
Projected winner
Bradford
Margin error
17.9

Sep 4, 2026

River vs. Oak Glen

Correct
Projected
28–21
Final
49–14
Projected winner
River
Margin error
27.6

Sep 4, 2026

Millersport vs. Federal Hocking

Missed
Projected
20–21
Final
44–14
Projected winner
Federal Hocking
Margin error
31.0

Sep 4, 2026

Miller vs. Racine Southern

Correct
Projected
17–20
Final
8–44
Projected winner
Racine Southern
Margin error
32.7

Sep 4, 2026

Fisher Catholic vs. Portsmouth Notre Dame

Missed
Projected
23–20
Final
0–7
Projected winner
Fisher Catholic
Margin error
9.6

Sep 4, 2026

Reedsville Eastern vs. South Gallia

Missed
Projected
19–21
Final
42–6
Projected winner
South Gallia
Margin error
38.4

Sep 4, 2026

Upper Scioto Valley vs. Cardington-Lincoln

Missed
Projected
17–21
Final
14–13
Projected winner
Cardington-Lincoln
Margin error
4.8

Sep 4, 2026

Delphos St. John's vs. Marion Local

Correct
Projected
17–28
Final
7–57
Projected winner
Marion Local
Margin error
39.4

Sep 4, 2026

Spencerville vs. Riverside

Correct
Projected
15–22
Final
0–35
Projected winner
Riverside
Margin error
27.0

Sep 4, 2026

North Baltimore vs. Ridgedale

Correct
Projected
28–13
Final
42–19
Projected winner
North Baltimore
Margin error
8.3

Sep 4, 2026

Hardin Northern vs. Ridgemont

Missed
Projected
20–15
Final
20–21
Projected winner
Hardin Northern
Margin error
5.3

Sep 4, 2026

Cory-Rawson vs. Lima Perry

Correct
Projected
17–21
Final
14–28
Projected winner
Lima Perry
Margin error
9.6

Sep 4, 2026

Ayersville vs. Toledo Christian

Missed
Projected
17–21
Final
26–20
Projected winner
Toledo Christian
Margin error
10.4

Sep 4, 2026

Antwerp vs. Hilltop

Missed
Projected
18–23
Final
48–12
Projected winner
Hilltop
Margin error
40.1

Sep 4, 2026

Ada vs. Arlington

Correct
Projected
27–17
Final
41–28
Projected winner
Ada
Margin error
2.9

Sep 4, 2026

Salineville Southern vs. Bridgeport

Correct
Projected
17–20
Final
34–36
Projected winner
Bridgeport
Margin error
0.9

Sep 4, 2026

Monroeville vs. Danville

Correct
Projected
17–25
Final
0–38
Projected winner
Danville
Margin error
29.7

Sep 4, 2026

Leetonia vs. Wellsville

Missed
Projected
20–19
Final
28–35
Projected winner
Leetonia
Margin error
8.8

Sep 4, 2026

Cuyahoga Heights vs. North Central

Correct
Projected
23–18
Final
36–7
Projected winner
Cuyahoga Heights
Margin error
24.6

Sep 4, 2026

Buckeye Central vs. Mohawk

Correct
Projected
20–25
Final
0–48
Projected winner
Mohawk
Margin error
43.0

Sep 4, 2026

Steubenville Catholic Central vs. Bishop Rosecrans

Missed
Projected
16–21
Final
41–7
Projected winner
Bishop Rosecrans
Margin error
38.7

Sep 4, 2026

Triad vs. Springfield Catholic Central

Correct
Projected
21–16
Final
48–0
Projected winner
Triad
Margin error
42.7

Sep 4, 2026

Minster vs. New Bremen

Missed
Projected
23–24
Final
28–21
Projected winner
New Bremen
Margin error
8.2

Sep 4, 2026

National Trail vs. Ansonia

Correct
Projected
23–24
Final
13–48
Projected winner
Ansonia
Margin error
34.8

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.