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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

Millbury Lake vs. Evergreen

Correct
Projected
23–18
Final
26–8
Projected winner
Millbury Lake
Margin error
12.4

Sep 4, 2026

Lakota vs. Arcadia

Missed
Projected
21–23
Final
28–21
Projected winner
Arcadia
Margin error
9.1

Sep 4, 2026

Indian Lake vs. Allen East

Missed
Projected
24–23
Final
14–32
Projected winner
Indian Lake
Margin error
19.1

Sep 4, 2026

Fostoria vs. Woodmore

Correct
Projected
16–28
Final
13–46
Projected winner
Woodmore
Margin error
21.3

Sep 4, 2026

Elmwood vs. McComb

Missed
Projected
23–20
Final
26–41
Projected winner
Elmwood
Margin error
18.6

Sep 4, 2026

Brooklyn vs. Richmond Heights

Correct
Projected
20–21
Final
8–40
Projected winner
Richmond Heights
Margin error
31.2

Sep 4, 2026

Waterloo vs. David Anderson

Correct
Projected
20–21
Final
19–50
Projected winner
David Anderson
Margin error
30.8

Sep 4, 2026

Tuslaw vs. Caldwell

Missed
Projected
21–23
Final
45–14
Projected winner
Caldwell
Margin error
34.0

Sep 4, 2026

Rootstown vs. Trinity

Correct
Projected
20–18
Final
35–0
Projected winner
Rootstown
Margin error
33.1

Sep 4, 2026

Akron Manchester vs. Columbia

Correct
Projected
19–27
Final
31–32
Projected winner
Columbia
Margin error
7.4

Sep 4, 2026

Harrison Central vs. Strasburg-Franklin

Correct
Projected
20–23
Final
7–54
Projected winner
Strasburg-Franklin
Margin error
44.4

Sep 4, 2026

Grand Valley vs. Fairport Harding

Correct
Projected
27–14
Final
1–0
Projected winner
Grand Valley
Margin error
12.0

Sep 4, 2026

Garrettsville Garfield vs. NM Springfield

Correct
Projected
25–19
Final
40–14
Projected winner
Garrettsville Garfield
Margin error
20.9

Sep 4, 2026

Garaway vs. Norwayne

Correct
Projected
22–19
Final
39–29
Projected winner
Garaway
Margin error
7.8

Sep 4, 2026

Crestwood vs. Mineral Ridge

Correct
Projected
16–26
Final
14–31
Projected winner
Mineral Ridge
Margin error
7.7

Sep 4, 2026

Columbiana Crestview vs. Hanoverton United

Correct
Projected
21–23
Final
14–31
Projected winner
Hanoverton United
Margin error
15.5

Sep 4, 2026

Champion vs. Campbell Memorial

Missed
Projected
24–18
Final
0–42
Projected winner
Champion
Margin error
48.6

Sep 4, 2026

Buckeye Local vs. Shadyside

Correct
Projected
15–27
Final
6–61
Projected winner
Shadyside
Margin error
43.4

Sep 4, 2026

Bellaire vs. Barnesville

Correct
Projected
19–25
Final
0–33
Projected winner
Barnesville
Margin error
27.2

Sep 4, 2026

Berkshire vs. Cardinal

Missed
Projected
18–19
Final
56–0
Projected winner
Cardinal
Margin error
56.8

Sep 4, 2026

Beachwood vs. Vanlue

Correct
Projected
21–16
Final
41–6
Projected winner
Beachwood
Margin error
30.4

Sep 4, 2026

Urbana vs. Lima Central Catholic

Correct
Projected
24–25
Final
34–37
Projected winner
Lima Central Catholic
Margin error
1.5

Sep 4, 2026

Unioto vs. Waverly

Missed
Projected
25–17
Final
27–31
Projected winner
Unioto
Margin error
12.0

Sep 4, 2026

Thurgood Marshall vs. Washington CH

Correct
Projected
15–20
Final
0–46
Projected winner
Washington CH
Margin error
40.7

Sep 4, 2026

Taylor vs. Lawrenceburg

Correct
Projected
18–29
Final
14–48
Projected winner
Lawrenceburg
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.