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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

Girard vs. Lakeview

Correct
Projected
29–14
Final
43–10
Projected winner
Girard
Margin error
17.7

Sep 25, 2026

Fairless vs. Triway

Correct
Projected
24–25
Final
7–35
Projected winner
Triway
Margin error
27.7

Sep 25, 2026

East Liverpool vs. Cambridge

Correct
Projected
22–16
Final
28–14
Projected winner
East Liverpool
Margin error
8.7

Sep 25, 2026

Cuyahoga Valley CA vs. Mentor Lake Catholic

Missed
Projected
26–17
Final
13–27
Projected winner
Cuyahoga Valley CA
Margin error
22.6

Sep 25, 2026

Chagrin Falls vs. Kirtland

Correct
Projected
21–25
Final
3–45
Projected winner
Kirtland
Margin error
37.7

Sep 25, 2026

Canton South vs. Orrville

Correct
Projected
13–28
Final
14–41
Projected winner
Orrville
Margin error
12.3

Sep 25, 2026

Beaver vs. Brooke

Missed
Projected
25–16
Final
20–33
Projected winner
Beaver
Margin error
22.3

Sep 25, 2026

Wapakoneta vs. Van Wert

Missed
Projected
19–28
Final
35–13
Projected winner
Van Wert
Margin error
30.9

Sep 25, 2026

Trotwood-Madison vs. Cathedral

Correct
Projected
28–21
Final
17–10
Projected winner
Trotwood-Madison
Margin error
0.8

Sep 25, 2026

St. Marys Memorial vs. Ottawa-Glandorf

Correct
Projected
22–24
Final
28–46
Projected winner
Ottawa-Glandorf
Margin error
16.3

Sep 25, 2026

New Richmond vs. Clinton-Massie

Correct
Projected
22–18
Final
41–37
Projected winner
New Richmond
Margin error
0.4

Sep 25, 2026

Mount Healthy vs. Cincinnati Northwest

Correct
Projected
18–23
Final
20–40
Projected winner
Cincinnati Northwest
Margin error
15.2

Sep 25, 2026

Goshen vs. Batavia

Correct
Projected
26–17
Final
41–0
Projected winner
Goshen
Margin error
32.8

Sep 25, 2026

Franklin vs. Monroe

Correct
Projected
14–26
Final
36–45
Projected winner
Monroe
Margin error
2.6

Sep 25, 2026

Elida vs. Lima Bath

Missed
Projected
16–25
Final
28–21
Projected winner
Lima Bath
Margin error
16.4

Sep 25, 2026

Dunbar vs. Ponitz

Correct
Projected
25–15
Final
40–8
Projected winner
Dunbar
Margin error
22.5

Sep 25, 2026

Celina vs. Kenton

Correct
Projected
24–19
Final
49–14
Projected winner
Celina
Margin error
30.3

Sep 25, 2026

Archbishop Carroll vs. Archbishop McNicholas

Correct
Projected
20–22
Final
7–40
Projected winner
Archbishop McNicholas
Margin error
31.0

Sep 25, 2026

Hamilton Badin vs. Chaminade Julienne

Correct
Projected
25–16
Final
34–7
Projected winner
Hamilton Badin
Margin error
17.9

Sep 25, 2026

Archbishop Alter vs. Bishop Fenwick

Missed
Projected
21–25
Final
33–20
Projected winner
Bishop Fenwick
Margin error
16.3

Sep 25, 2026

Aiken vs. Hughes

Correct
Projected
15–28
Final
6–44
Projected winner
Hughes
Margin error
25.0

Sep 25, 2026

Western Brown vs. Wilmington

Correct
Projected
20–22
Final
42–49
Projected winner
Wilmington
Margin error
5.5

Sep 25, 2026

Tri-Valley vs. New Lexington

Correct
Projected
23–26
Final
19–42
Projected winner
New Lexington
Margin error
20.4

Sep 25, 2026

Sheridan vs. Morgan

Correct
Projected
25–16
Final
40–20
Projected winner
Sheridan
Margin error
11.5

Sep 25, 2026

Marietta vs. Amanda-Clearcreek

Missed
Projected
23–15
Final
13–20
Projected winner
Marietta
Margin error
14.6

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.