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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.

Aug 28, 2026

Port Clinton vs. Fostoria

Correct
Projected
26–17
Final
42–0
Projected winner
Port Clinton
Margin error
33.7

Aug 28, 2026

Huron vs. Hopewell-Loudon

Correct
Projected
17–25
Final
0–37
Projected winner
Hopewell-Loudon
Margin error
28.8

Aug 28, 2026

Galion vs. Carey

Missed
Projected
20–21
Final
21–17
Projected winner
Carey
Margin error
4.6

Aug 28, 2026

Firelands vs. Vermilion

Missed
Projected
22–19
Final
7–41
Projected winner
Firelands
Margin error
37.3

Aug 28, 2026

Milan Edison vs. Bluffton

Correct
Projected
18–24
Final
7–42
Projected winner
Bluffton
Margin error
28.7

Aug 28, 2026

Bellevue vs. Wauseon

Correct
Projected
22–20
Final
42–21
Projected winner
Bellevue
Margin error
19.4

Aug 28, 2026

Woodridge vs. Brookside

Correct
Projected
22–21
Final
55–20
Projected winner
Woodridge
Margin error
34.1

Aug 28, 2026

Cleveland VASJ vs. Taft

Correct
Projected
23–16
Final
47–6
Projected winner
Cleveland VASJ
Margin error
34.1

Aug 28, 2026

Struthers vs. Warren JFK

Correct
Projected
18–22
Final
6–18
Projected winner
Warren JFK
Margin error
8.7

Aug 28, 2026

Shaw vs. WL Ridgewood

Missed
Projected
25–18
Final
16–34
Projected winner
Shaw
Margin error
25.7

Aug 28, 2026

Poland Seminary vs. Kirtland

Correct
Projected
19–25
Final
34–36
Projected winner
Kirtland
Margin error
5.0

Aug 28, 2026

Lakeview vs. Columbiana Crestview

Correct
Projected
19–21
Final
14–34
Projected winner
Columbiana Crestview
Margin error
17.7

Aug 28, 2026

Hawken vs. Lutheran West

Correct
Projected
22–18
Final
36–6
Projected winner
Hawken
Margin error
26.4

Aug 28, 2026

Girard vs. Linsly

Correct
Projected
26–17
Final
56–14
Projected winner
Girard
Margin error
33.4

Aug 28, 2026

Fairless vs. Waynedale

Correct
Projected
26–17
Final
48–6
Projected winner
Fairless
Margin error
32.1

Aug 28, 2026

East Liverpool vs. Indian Creek

Missed
Projected
17–25
Final
48–14
Projected winner
Indian Creek
Margin error
42.0

Aug 28, 2026

Chagrin Falls vs. Pepper Pike Orange

Missed
Projected
21–22
Final
26–12
Projected winner
Pepper Pike Orange
Margin error
14.7

Aug 28, 2026

Canton South vs. Cuyahoga Valley CA

Correct
Projected
20–22
Final
7–49
Projected winner
Cuyahoga Valley CA
Margin error
40.4

Aug 28, 2026

St. Marys Memorial vs. Lima Bath

Missed
Projected
21–22
Final
35–14
Projected winner
Lima Bath
Margin error
21.4

Aug 28, 2026

Lima Shawnee vs. Kenton

Correct
Projected
21–19
Final
30–6
Projected winner
Lima Shawnee
Margin error
21.2

Aug 28, 2026

Ponitz vs. North College Hill

Correct
Projected
19–21
Final
0–46
Projected winner
North College Hill
Margin error
44.3

Aug 28, 2026

Ross vs. Thurgood Marshall

Missed
Projected
19–20
Final
57–0
Projected winner
Thurgood Marshall
Margin error
57.4

Aug 28, 2026

Cincinnati Northwest vs. Reading

Correct
Projected
23–16
Final
32–0
Projected winner
Cincinnati Northwest
Margin error
25.1

Aug 28, 2026

New Richmond vs. Williamsburg

Missed
Projected
26–14
Final
14–34
Projected winner
New Richmond
Margin error
31.8

Aug 28, 2026

Hughes vs. Mount Healthy

Correct
Projected
27–14
Final
28–18
Projected winner
Hughes
Margin error
2.6

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.