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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 25, 2026

St. Charles vs. Bishop Hartley

Correct
Projected
26–16
Final
38–0
Projected winner
St. Charles
Margin error
28.0

Sep 25, 2026

Northland vs. Centennial

Missed
Projected
19–20
Final
6–0
Projected winner
Centennial
Margin error
6.5

Sep 25, 2026

Mount Vernon vs. Granville

Correct
Projected
20–23
Final
35–42
Projected winner
Granville
Margin error
3.8

Sep 25, 2026

Mifflin vs. Beechcroft

Correct
Projected
13–23
Final
0–40
Projected winner
Beechcroft
Margin error
30.7

Sep 25, 2026

Marion Harding vs. Clear Fork

Missed
Projected
23–22
Final
7–21
Projected winner
Marion Harding
Margin error
14.8

Sep 25, 2026

Licking Heights vs. Zanesville

Correct
Projected
17–25
Final
12–37
Projected winner
Zanesville
Margin error
17.3

Sep 25, 2026

Columbus Independence vs. Briggs

Correct
Projected
15–22
Final
14–16
Projected winner
Briggs
Margin error
5.2

Sep 25, 2026

Uniontown Lake vs. Louisville

Correct
Projected
21–23
Final
15–16
Projected winner
Louisville
Margin error
0.1

Sep 25, 2026

Big Walnut vs. Ironton

Missed
Projected
25–27
Final
47–40
Projected winner
Ironton
Margin error
8.6

Sep 25, 2026

Valley Forge vs. Medina Buckeye

Correct
Projected
15–23
Final
14–19
Projected winner
Medina Buckeye
Margin error
2.1

Sep 25, 2026

Toledo St. Francis vs. Warren De La Salle

Correct
Projected
18–23
Final
2–17
Projected winner
Warren De La Salle
Margin error
9.3

Sep 25, 2026

Toledo St. John's vs. Detroit Catholic Central

Correct
Projected
20–27
Final
3–36
Projected winner
Detroit Catholic Central
Margin error
25.9

Sep 25, 2026

Holland Springfield vs. Bowling Green

Correct
Projected
21–18
Final
37–9
Projected winner
Holland Springfield
Margin error
24.8

Sep 25, 2026

Olmsted Falls vs. Amherst Steele

Correct
Projected
23–20
Final
42–7
Projected winner
Olmsted Falls
Margin error
32.0

Sep 25, 2026

North Olmsted vs. Bay

Correct
Projected
24–14
Final
41–28
Projected winner
North Olmsted
Margin error
3.8

Sep 25, 2026

Normandy vs. Rocky River

Correct
Projected
14–28
Final
0–83
Projected winner
Rocky River
Margin error
68.7

Sep 25, 2026

Midview vs. North Ridgeville

Correct
Projected
19–22
Final
27–31
Projected winner
North Ridgeville
Margin error
1.1

Sep 25, 2026

Lakewood vs. Westlake

Correct
Projected
23–18
Final
48–42
Projected winner
Lakewood
Margin error
1.1

Sep 25, 2026

Fremont Ross vs. Liberty-Benton

Correct
Projected
21–19
Final
42–14
Projected winner
Fremont Ross
Margin error
26.2

Sep 25, 2026

Toledo Central Catholic vs. Lumen Christi

Correct
Projected
25–24
Final
49–7
Projected winner
Toledo Central Catholic
Margin error
40.5

Sep 25, 2026

Barberton vs. Copley

Correct
Projected
17–27
Final
26–30
Projected winner
Copley
Margin error
5.7

Sep 25, 2026

Warren G. Harding vs. Scott

Correct
Projected
20–17
Final
52–0
Projected winner
Warren G. Harding
Margin error
48.3

Sep 25, 2026

Twinsburg vs. Kenston

Correct
Projected
18–22
Final
14–42
Projected winner
Kenston
Margin error
24.5

Sep 25, 2026

Kent Roosevelt vs. Field

Correct
Projected
22–16
Final
60–0
Projected winner
Kent Roosevelt
Margin error
54.4

Sep 25, 2026

Willoughby South vs. Chardon

Correct
Projected
29–17
Final
35–28
Projected winner
Willoughby South
Margin error
4.3

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.