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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

Tecumseh vs. Springfield Shawnee

Correct
Projected
20–21
Final
30–34
Projected winner
Springfield Shawnee
Margin error
3.6

Sep 4, 2026

Teays Valley vs. Licking Valley

Correct
Projected
20–25
Final
20–21
Projected winner
Licking Valley
Margin error
3.5

Sep 4, 2026

Talawanda vs. Eaton

Correct
Projected
27–21
Final
38–6
Projected winner
Talawanda
Margin error
27.0

Sep 4, 2026

Sidney vs. Stebbins

Missed
Projected
16–24
Final
49–42
Projected winner
Stebbins
Margin error
15.2

Sep 4, 2026

Piqua vs. Greenville

Missed
Projected
17–21
Final
26–21
Projected winner
Greenville
Margin error
8.7

Sep 4, 2026

Lima Senior vs. Benjamin Logan

Missed
Projected
19–23
Final
18–10
Projected winner
Benjamin Logan
Margin error
12.5

Sep 4, 2026

Kings vs. Loveland

Correct
Projected
20–18
Final
41–14
Projected winner
Kings
Margin error
24.8

Sep 4, 2026

Franklin Heights vs. London

Correct
Projected
20–24
Final
7–37
Projected winner
London
Margin error
26.9

Sep 4, 2026

Fairborn vs. Tippecanoe

Missed
Projected
26–21
Final
14–41
Projected winner
Fairborn
Margin error
32.5

Sep 4, 2026

Trenton Edgewood vs. Hamilton Badin

Correct
Projected
21–22
Final
7–31
Projected winner
Hamilton Badin
Margin error
23.4

Sep 4, 2026

Anderson vs. Little Miami

Correct
Projected
25–20
Final
51–14
Projected winner
Anderson
Margin error
31.8

Sep 4, 2026

Wooster vs. Triway

Correct
Projected
18–25
Final
7–31
Projected winner
Triway
Margin error
17.1

Sep 4, 2026

Whitehall-Yearling vs. Marion Pleasant

Missed
Projected
16–26
Final
39–14
Projected winner
Marion Pleasant
Margin error
34.4

Sep 4, 2026

Whetstone vs. Briggs

Correct
Projected
16–21
Final
6–52
Projected winner
Briggs
Margin error
41.0

Sep 4, 2026

Watkins Memorial vs. Mansfield Senior

Missed
Projected
18–20
Final
41–7
Projected winner
Mansfield Senior
Margin error
36.0

Sep 4, 2026

St. Charles vs. Westerville South

Correct
Projected
26–17
Final
13–7
Projected winner
St. Charles
Margin error
2.7

Sep 4, 2026

Mount Vernon vs. Highland

Correct
Projected
21–20
Final
12–0
Projected winner
Mount Vernon
Margin error
11.1

Sep 4, 2026

Mifflin vs. Bexley

Missed
Projected
21–17
Final
0–33
Projected winner
Mifflin
Margin error
36.9

Sep 4, 2026

Marion Harding vs. Bellefontaine

Missed
Projected
17–23
Final
14–7
Projected winner
Bellefontaine
Margin error
12.3

Sep 4, 2026

Licking Heights vs. Sheridan

Correct
Projected
19–23
Final
7–32
Projected winner
Sheridan
Margin error
21.2

Sep 4, 2026

Logan vs. Vincent Warren

Correct
Projected
20–18
Final
17–6
Projected winner
Logan
Margin error
8.5

Sep 4, 2026

Columbus Independence vs. Hamilton Township

Correct
Projected
19–23
Final
0–41
Projected winner
Hamilton Township
Margin error
36.6

Sep 4, 2026

Uniontown Lake vs. Rocky River

Correct
Projected
21–26
Final
16–20
Projected winner
Rocky River
Margin error
0.8

Sep 4, 2026

Canal Winchester vs. Worthington Kilbourne

Correct
Projected
21–25
Final
35–56
Projected winner
Worthington Kilbourne
Margin error
18.0

Sep 4, 2026

Waite vs. Maumee

Missed
Projected
22–18
Final
12–29
Projected winner
Waite
Margin error
20.7

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.