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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.

Aug 21, 2026

Genoa vs. Archbold

Missed
Projected
25–24
Final
7–38
Projected winner
Genoa
Margin error
31.6

Aug 21, 2026

Fostoria vs. Van Buren

Correct
Projected
18–21
Final
14–23
Projected winner
Van Buren
Margin error
5.6

Aug 21, 2026

Elmwood vs. Lakota

Missed
Projected
17–18
Final
41–30
Projected winner
Lakota
Margin error
11.7

Aug 21, 2026

Chippewa vs. East Canton

Missed
Projected
17–21
Final
23–6
Projected winner
East Canton
Margin error
21.7

Aug 21, 2026

Lima Bath vs. Indian Lake

Missed
Projected
26–20
Final
43–54
Projected winner
Lima Bath
Margin error
16.4

Aug 21, 2026

Benjamin Logan vs. Bluffton

Correct
Projected
19–27
Final
28–42
Projected winner
Bluffton
Margin error
6.9

Aug 21, 2026

Tuslaw vs. Smithville

Correct
Projected
21–23
Final
14–21
Projected winner
Smithville
Margin error
5.2

Aug 21, 2026

Martins Ferry vs. Mount Gilead

Correct
Projected
28–20
Final
42–19
Projected winner
Martins Ferry
Margin error
14.8

Aug 21, 2026

Grand Valley vs. Brooklyn

Correct
Projected
23–13
Final
47–14
Projected winner
Grand Valley
Margin error
22.2

Aug 21, 2026

Richmond Edison vs. Coshocton

Correct
Projected
20–21
Final
21–24
Projected winner
Coshocton
Margin error
2.4

Aug 21, 2026

Crestwood vs. Mogadore

Correct
Projected
20–23
Final
8–31
Projected winner
Mogadore
Margin error
19.9

Aug 21, 2026

Conneaut vs. Cuyahoga Heights

Missed
Projected
20–21
Final
20–13
Projected winner
Cuyahoga Heights
Margin error
7.8

Aug 21, 2026

Bellaire vs. Buckeye Local

Correct
Projected
22–15
Final
43–13
Projected winner
Bellaire
Margin error
22.6

Aug 21, 2026

Beachwood vs. Richmond Heights

Missed
Projected
19–17
Final
8–44
Projected winner
Beachwood
Margin error
37.5

Aug 21, 2026

Washington CH vs. Mechanicsburg

Correct
Projected
21–24
Final
20–32
Projected winner
Mechanicsburg
Margin error
9.1

Aug 21, 2026

Valley View vs. Coldwater

Correct
Projected
23–27
Final
21–37
Projected winner
Coldwater
Margin error
11.6

Aug 21, 2026

Urbana vs. Springfield Northeastern

Correct
Projected
23–22
Final
49–0
Projected winner
Urbana
Margin error
48.3

Aug 21, 2026

Shroder vs. Madeira

Missed
Projected
22–19
Final
8–47
Projected winner
Shroder
Margin error
42.4

Aug 21, 2026

Dayton Northridge vs. St. Bernard-Elmwood Place

Missed
Projected
23–22
Final
13–18
Projected winner
Dayton Northridge
Margin error
6.4

Aug 21, 2026

Milton-Union vs. Carlisle

Correct
Projected
18–25
Final
12–43
Projected winner
Carlisle
Margin error
23.9

Aug 21, 2026

McClain vs. Adena

Correct
Projected
19–18
Final
37–8
Projected winner
McClain
Margin error
28.2

Aug 21, 2026

Indian Hill vs. Roger Bacon

Correct
Projected
27–21
Final
35–14
Projected winner
Indian Hill
Margin error
14.8

Aug 21, 2026

Graham Local vs. Kenton Ridge

Missed
Projected
22–23
Final
34–24
Projected winner
Kenton Ridge
Margin error
10.4

Aug 21, 2026

Clinton-Massie vs. Waynesville

Missed
Projected
24–23
Final
17–20
Projected winner
Clinton-Massie
Margin error
4.5

Aug 21, 2026

Vinton County vs. Waterford

Missed
Projected
23–22
Final
0–36
Projected winner
Vinton County
Margin error
37.5

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.