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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

Huron vs. Vermilion

Missed
Projected
15–27
Final
43–42
Projected winner
Vermilion
Margin error
13.5

Oct 9, 2026

Firelands vs. Wellington

Correct
Projected
23–17
Final
42–7
Projected winner
Firelands
Margin error
28.6

Oct 9, 2026

Milan Edison vs. Port Clinton

Correct
Projected
19–24
Final
16–51
Projected winner
Port Clinton
Margin error
30.4

Oct 9, 2026

Clear Fork vs. Highland

Correct
Projected
24–21
Final
20–14
Projected winner
Clear Fork
Margin error
3.3

Oct 9, 2026

Bryan vs. Wauseon

Missed
Projected
20–18
Final
28–34
Projected winner
Bryan
Margin error
7.9

Oct 9, 2026

Brookside vs. Black River

Correct
Projected
25–14
Final
36–28
Projected winner
Brookside
Margin error
3.2

Oct 9, 2026

Canal Fulton Northwest vs. Tuslaw

Correct
Projected
23–21
Final
55–32
Projected winner
Canal Fulton Northwest
Margin error
20.9

Oct 9, 2026

Minerva vs. West Branch

Correct
Projected
20–24
Final
7–50
Projected winner
West Branch
Margin error
39.2

Oct 9, 2026

Hawken vs. Jefferson Area

Correct
Projected
25–14
Final
34–9
Projected winner
Hawken
Margin error
14.1

Oct 9, 2026

Girard vs. Poland Seminary

Correct
Projected
28–20
Final
35–31
Projected winner
Girard
Margin error
3.3

Oct 9, 2026

East Liverpool vs. Oak Glen

Correct
Projected
23–22
Final
41–0
Projected winner
East Liverpool
Margin error
39.6

Oct 9, 2026

Chagrin Falls vs. Berkshire

Missed
Projected
19–23
Final
25–24
Projected winner
Berkshire
Margin error
4.0

Oct 9, 2026

Canton South vs. Fairless

Correct
Projected
16–24
Final
6–39
Projected winner
Fairless
Margin error
24.8

Oct 9, 2026

Beaver vs. Indian Creek

Correct
Projected
20–23
Final
0–27
Projected winner
Indian Creek
Margin error
24.2

Oct 9, 2026

Wapakoneta vs. Kenton

Missed
Projected
21–22
Final
42–0
Projected winner
Kenton
Margin error
42.8

Oct 9, 2026

Lima Shawnee vs. St. Marys Memorial

Correct
Projected
19–24
Final
31–42
Projected winner
St. Marys Memorial
Margin error
6.2

Oct 9, 2026

Mount Healthy vs. Trotwood-Madison

Correct
Projected
17–28
Final
0–49
Projected winner
Trotwood-Madison
Margin error
37.8

Oct 9, 2026

Greenville vs. Tippecanoe

Correct
Projected
16–28
Final
0–65
Projected winner
Tippecanoe
Margin error
53.7

Oct 9, 2026

Goshen vs. Clinton-Massie

Correct
Projected
27–20
Final
27–23
Projected winner
Goshen
Margin error
3.0

Oct 9, 2026

Franklin vs. Ross

Correct
Projected
19–20
Final
0–42
Projected winner
Ross
Margin error
41.9

Oct 9, 2026

Celina vs. Lima Bath

Correct
Projected
27–17
Final
42–0
Projected winner
Celina
Margin error
32.5

Oct 9, 2026

Bishop Fenwick vs. Chaminade Julienne

Missed
Projected
27–14
Final
10–14
Projected winner
Bishop Fenwick
Margin error
16.6

Oct 9, 2026

Bellbrook vs. Monroe

Missed
Projected
21–26
Final
56–0
Projected winner
Monroe
Margin error
60.6

Oct 9, 2026

Hamilton Badin vs. Archbishop Carroll

Correct
Projected
25–14
Final
49–20
Projected winner
Hamilton Badin
Margin error
18.4

Oct 9, 2026

Archbishop Alter vs. Archbishop McNicholas

Missed
Projected
25–23
Final
7–20
Projected winner
Archbishop Alter
Margin error
14.4

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.