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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

Briggs vs. Africentric

Missed
Projected
26–13
Final
6–36
Projected winner
Briggs
Margin error
42.8

Sep 11, 2026

Wooster vs. Mansfield Madison

Missed
Projected
17–24
Final
34–13
Projected winner
Mansfield Madison
Margin error
28.1

Sep 11, 2026

Watkins Memorial vs. Marietta

Missed
Projected
20–21
Final
42–13
Projected winner
Marietta
Margin error
29.3

Sep 11, 2026

Massillon Washington vs. Canisius

Missed
Projected
23–24
Final
42–0
Projected winner
Canisius
Margin error
42.4

Sep 11, 2026

Walnut Ridge vs. Columbus South

Correct
Projected
15–27
Final
0–6
Projected winner
Columbus South
Margin error
5.7

Sep 11, 2026

St. Charles vs. Bishop Ready

Correct
Projected
23–22
Final
44–2
Projected winner
St. Charles
Margin error
40.3

Sep 11, 2026

Northland vs. Whitehall-Yearling

Missed
Projected
21–20
Final
6–26
Projected winner
Northland
Margin error
20.5

Sep 11, 2026

Mount Vernon vs. Johnstown

Correct
Projected
18–25
Final
30–37
Projected winner
Johnstown
Margin error
0.0

Sep 11, 2026

Mifflin vs. Columbus East

Correct
Projected
17–20
Final
0–54
Projected winner
Columbus East
Margin error
51.0

Sep 11, 2026

Marion Harding vs. Highland

Correct
Projected
24–18
Final
26–22
Projected winner
Marion Harding
Margin error
2.4

Sep 11, 2026

Licking Heights vs. Buckeye Valley

Correct
Projected
18–23
Final
12–27
Projected winner
Buckeye Valley
Margin error
10.3

Sep 11, 2026

Columbus Independence vs. Marion Franklin

Correct
Projected
18–19
Final
14–49
Projected winner
Marion Franklin
Margin error
35.0

Sep 11, 2026

Uniontown Lake vs. Massillon Perry

Missed
Projected
19–25
Final
15–9
Projected winner
Massillon Perry
Margin error
11.0

Sep 11, 2026

Uniontown Green vs. North Canton Hoover

Correct
Projected
23–21
Final
24–20
Projected winner
Uniontown Green
Margin error
2.3

Sep 11, 2026

Dublin Scioto vs. Westerville South

Missed
Projected
25–14
Final
0–21
Projected winner
Dublin Scioto
Margin error
31.9

Sep 11, 2026

Waite vs. Rogers

Correct
Projected
18–17
Final
31–6
Projected winner
Waite
Margin error
23.0

Sep 11, 2026

Northview vs. Bowling Green

Correct
Projected
15–19
Final
13–45
Projected winner
Bowling Green
Margin error
27.2

Sep 11, 2026

Toledo St. John's vs. Orchard Lake St. Mary

Correct
Projected
23–27
Final
7–56
Projected winner
Orchard Lake St. Mary
Margin error
44.6

Sep 11, 2026

North Olmsted vs. Valley Forge

Correct
Projected
22–14
Final
20–6
Projected winner
North Olmsted
Margin error
6.2

Sep 11, 2026

Normandy vs. Westlake

Correct
Projected
17–20
Final
19–42
Projected winner
Westlake
Margin error
20.3

Sep 11, 2026

Lakewood vs. Rocky River

Correct
Projected
23–24
Final
7–49
Projected winner
Rocky River
Margin error
41.5

Sep 11, 2026

Toledo Central Catholic vs. Toledo St. Francis

Correct
Projected
24–19
Final
47–7
Projected winner
Toledo Central Catholic
Margin error
34.6

Sep 11, 2026

Oregon Clay vs. Napoleon

Correct
Projected
27–16
Final
52–13
Projected winner
Oregon Clay
Margin error
28.0

Sep 11, 2026

Bowsher vs. Toledo Woodward

Missed
Projected
18–19
Final
41–6
Projected winner
Toledo Woodward
Margin error
35.9

Sep 11, 2026

Barberton vs. Brecksville

Missed
Projected
26–17
Final
12–25
Projected winner
Barberton
Margin error
22.4

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.