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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

Columbus Grove vs. Lima Central Catholic

Correct
Projected
23–25
Final
6–13
Projected winner
Lima Central Catholic
Margin error
5.2

Sep 11, 2026

Colonel Crawford vs. Tiffin Calvert

Correct
Projected
24–16
Final
44–12
Projected winner
Colonel Crawford
Margin error
24.1

Sep 11, 2026

Bucyrus vs. Mohawk

Correct
Projected
21–24
Final
7–56
Projected winner
Mohawk
Margin error
45.6

Sep 11, 2026

Bluffton vs. Allen East

Correct
Projected
27–22
Final
35–13
Projected winner
Bluffton
Margin error
16.8

Sep 11, 2026

Archbold vs. Delta

Missed
Projected
25–26
Final
38–7
Projected winner
Delta
Margin error
31.4

Sep 11, 2026

Trinity vs. Wickliffe

Correct
Projected
15–28
Final
18–48
Projected winner
Wickliffe
Margin error
16.6

Sep 11, 2026

Pymatuning Valley vs. Mathews

Missed
Projected
21–22
Final
31–14
Projected winner
Mathews
Margin error
17.1

Sep 11, 2026

Norwayne vs. Rittman

Missed
Projected
17–26
Final
34–7
Projected winner
Rittman
Margin error
36.5

Sep 11, 2026

Mogadore vs. Malvern

Missed
Projected
18–20
Final
46–16
Projected winner
Malvern
Margin error
32.1

Sep 11, 2026

Mineral Ridge vs. NM Springfield

Correct
Projected
26–19
Final
27–7
Projected winner
Mineral Ridge
Margin error
13.3

Sep 11, 2026

Campbell Memorial vs. McDonald

Correct
Projected
20–26
Final
16–54
Projected winner
McDonald
Margin error
32.4

Sep 11, 2026

Hillsdale vs. Dalton

Correct
Projected
27–18
Final
21–16
Projected winner
Hillsdale
Margin error
4.4

Sep 11, 2026

East Palestine vs. David Anderson

Missed
Projected
18–21
Final
27–13
Projected winner
David Anderson
Margin error
17.2

Sep 11, 2026

Columbiana vs. Hanoverton United

Correct
Projected
22–24
Final
7–56
Projected winner
Hanoverton United
Margin error
47.0

Sep 11, 2026

Columbia vs. Wellington

Correct
Projected
26–17
Final
49–18
Projected winner
Columbia
Margin error
22.4

Sep 11, 2026

Cardinal vs. Leetonia

Correct
Projected
16–20
Final
0–36
Projected winner
Leetonia
Margin error
31.9

Sep 11, 2026

Versailles vs. Marion Local

Correct
Projected
18–27
Final
3–27
Projected winner
Marion Local
Margin error
14.2

Sep 11, 2026

Reading vs. Deer Park

Correct
Projected
18–27
Final
7–34
Projected winner
Deer Park
Margin error
18.8

Sep 11, 2026

Preble Shawnee vs. Dixie

Missed
Projected
19–21
Final
60–19
Projected winner
Dixie
Margin error
42.6

Sep 11, 2026

Meadowdale vs. North College Hill

Correct
Projected
15–30
Final
0–43
Projected winner
North College Hill
Margin error
29.0

Sep 11, 2026

Madison Plains vs. Mechanicsburg

Missed
Projected
24–21
Final
0–41
Projected winner
Madison Plains
Margin error
44.3

Sep 11, 2026

Middletown Madison vs. Dayton Christian

Correct
Projected
16–26
Final
7–40
Projected winner
Dayton Christian
Margin error
23.3

Sep 11, 2026

Greenon vs. Triad

Correct
Projected
22–19
Final
41–7
Projected winner
Greenon
Margin error
31.1

Sep 11, 2026

Finneytown vs. Madeira

Correct
Projected
17–23
Final
6–55
Projected winner
Madeira
Margin error
43.2

Sep 11, 2026

Bethel vs. Troy Christian

Missed
Projected
18–24
Final
42–7
Projected winner
Troy Christian
Margin error
40.2

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.