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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

Defiance vs. Wapakoneta

Missed
Projected
22–21
Final
0–29
Projected winner
Defiance
Margin error
30.3

Sep 4, 2026

Tiffin Columbian vs. Ontario

Correct
Projected
22–24
Final
28–49
Projected winner
Ontario
Margin error
18.8

Sep 4, 2026

Cloverleaf vs. Carrollton

Missed
Projected
19–24
Final
14–7
Projected winner
Carrollton
Margin error
11.1

Sep 4, 2026

Medina Buckeye vs. Keystone

Correct
Projected
17–25
Final
29–40
Projected winner
Keystone
Margin error
2.5

Sep 4, 2026

Bay vs. Firelands

Correct
Projected
17–22
Final
0–30
Projected winner
Firelands
Margin error
24.2

Sep 4, 2026

Ashland vs. Clyde

Correct
Projected
25–19
Final
21–19
Projected winner
Ashland
Margin error
3.6

Sep 4, 2026

West Geauga vs. Chagrin Falls

Missed
Projected
20–24
Final
40–0
Projected winner
Chagrin Falls
Margin error
44.0

Sep 4, 2026

Steubenville vs. Linsly

Correct
Projected
27–17
Final
48–7
Projected winner
Steubenville
Margin error
31.1

Sep 4, 2026

Niles McKinley vs. Ravenna

Missed
Projected
16–28
Final
33–26
Projected winner
Ravenna
Margin error
18.6

Sep 4, 2026

New Philadelphia vs. Indian Valley

Correct
Projected
15–27
Final
14–37
Projected winner
Indian Valley
Margin error
11.3

Sep 4, 2026

Marlington vs. Norton

Correct
Projected
21–25
Final
10–35
Projected winner
Norton
Margin error
22.0

Sep 4, 2026

Kenston vs. ND Cathedral Latin

Correct
Projected
21–22
Final
7–28
Projected winner
ND Cathedral Latin
Margin error
20.0

Sep 4, 2026

Hubbard vs. Warren JFK

Missed
Projected
20–22
Final
47–35
Projected winner
Warren JFK
Margin error
13.8

Sep 4, 2026

Howland vs. Shaw

Correct
Projected
22–20
Final
37–12
Projected winner
Howland
Margin error
23.1

Sep 4, 2026

Youngstown vs. South Range

Correct
Projected
16–30
Final
28–48
Projected winner
South Range
Margin error
6.3

Sep 4, 2026

Akron East vs. Canton South

Correct
Projected
20–19
Final
34–7
Projected winner
Akron East
Margin error
26.3

Sep 4, 2026

Coventry vs. Akron Springfield

Correct
Projected
20–17
Final
20–2
Projected winner
Coventry
Margin error
14.8

Sep 4, 2026

Dover vs. Louisville

Missed
Projected
21–17
Final
14–15
Projected winner
Dover
Margin error
5.5

Sep 4, 2026

Chardon vs. McDowell

Correct
Projected
19–21
Final
31–38
Projected winner
McDowell
Margin error
4.2

Sep 4, 2026

Canfield vs. Cardinal Mooney

Correct
Projected
17–27
Final
7–19
Projected winner
Cardinal Mooney
Margin error
2.0

Sep 4, 2026

Aurora vs. Tallmadge

Missed
Projected
23–17
Final
14–24
Projected winner
Aurora
Margin error
16.1

Sep 4, 2026

Alliance vs. Streetsboro

Correct
Projected
20–22
Final
26–37
Projected winner
Streetsboro
Margin error
9.2

Sep 4, 2026

Xenia vs. Butler

Correct
Projected
16–28
Final
16–31
Projected winner
Butler
Margin error
3.2

Sep 4, 2026

Columbus West vs. Centennial

Correct
Projected
24–18
Final
36–0
Projected winner
Columbus West
Margin error
30.4

Sep 4, 2026

Troy vs. West Carrollton

Correct
Projected
20–18
Final
57–6
Projected winner
Troy
Margin error
49.1

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.