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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

Westlake vs. Clearview

Missed
Projected
19–21
Final
57–18
Projected winner
Clearview
Margin error
40.6

Aug 28, 2026

Amherst Steele vs. Medina Buckeye

Correct
Projected
27–16
Final
38–21
Projected winner
Amherst Steele
Margin error
5.4

Aug 28, 2026

Toledo St. Francis vs. Bishop Dwenger

Missed
Projected
27–19
Final
0–35
Projected winner
Toledo St. Francis
Margin error
42.5

Aug 28, 2026

Holland Springfield vs. Northview

Correct
Projected
23–17
Final
41–7
Projected winner
Holland Springfield
Margin error
28.4

Aug 28, 2026

Normandy vs. Ravenna

Correct
Projected
17–24
Final
0–55
Projected winner
Ravenna
Margin error
48.2

Aug 28, 2026

Midview vs. North Olmsted

Correct
Projected
23–17
Final
28–26
Projected winner
Midview
Margin error
4.3

Aug 28, 2026

Rhodes vs. Lakewood

Correct
Projected
17–27
Final
26–27
Projected winner
Lakewood
Margin error
8.8

Aug 28, 2026

Fremont Ross vs. Sandusky

Correct
Projected
22–18
Final
51–6
Projected winner
Fremont Ross
Margin error
40.8

Aug 28, 2026

Oregon Clay vs. Southview

Missed
Projected
21–23
Final
35–14
Projected winner
Southview
Margin error
23.1

Aug 28, 2026

Brecksville vs. North Royalton

Correct
Projected
20–23
Final
6–10
Projected winner
North Royalton
Margin error
1.0

Aug 28, 2026

Bowsher vs. Genoa

Correct
Projected
19–20
Final
7–56
Projected winner
Genoa
Margin error
48.4

Aug 28, 2026

Avon Lake vs. Mentor Lake Catholic

Missed
Projected
22–18
Final
13–14
Projected winner
Avon Lake
Margin error
4.8

Aug 28, 2026

Avon vs. Pine-Richland

Correct
Projected
22–25
Final
18–48
Projected winner
Pine-Richland
Margin error
26.7

Aug 28, 2026

Anthony Wayne vs. Toledo St. John's

Correct
Projected
16–26
Final
0–25
Projected winner
Toledo St. John's
Margin error
14.1

Aug 28, 2026

Warren G. Harding vs. Youngstown

Missed
Projected
21–22
Final
20–12
Projected winner
Youngstown
Margin error
8.1

Aug 28, 2026

University School vs. Bay

Correct
Projected
28–14
Final
35–14
Projected winner
University School
Margin error
7.1

Aug 28, 2026

Painesville Riverside vs. Aurora

Missed
Projected
17–24
Final
40–13
Projected winner
Aurora
Margin error
33.2

Aug 28, 2026

Willoughby South vs. Kent Roosevelt

Missed
Projected
22–23
Final
34–13
Projected winner
Kent Roosevelt
Margin error
21.1

Aug 28, 2026

Eastlake North vs. Valley Forge

Correct
Projected
26–17
Final
42–0
Projected winner
Eastlake North
Margin error
32.9

Aug 28, 2026

Nordonia vs. Akron East

Correct
Projected
26–19
Final
46–12
Projected winner
Nordonia
Margin error
26.6

Aug 28, 2026

Mayfield vs. Elyria Catholic

Missed
Projected
23–24
Final
31–13
Projected winner
Elyria Catholic
Margin error
18.2

Aug 28, 2026

Madison vs. Maple Heights

Missed
Projected
14–27
Final
36–24
Projected winner
Maple Heights
Margin error
24.6

Aug 28, 2026

Lakeside vs. Geneva

Missed
Projected
23–19
Final
6–41
Projected winner
Lakeside
Margin error
38.7

Aug 28, 2026

Firestone vs. Copley

Correct
Projected
16–24
Final
6–56
Projected winner
Copley
Margin error
42.2

Aug 28, 2026

Garfield Heights vs. Cardinal Mooney

Missed
Projected
22–23
Final
39–37
Projected winner
Cardinal Mooney
Margin error
2.5

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.