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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

Shroder vs. St. Bernard-Elmwood Place

Correct
Projected
18–21
Final
0–54
Projected winner
St. Bernard-Elmwood Place
Margin error
51.0

Sep 4, 2026

Norwood vs. Gamble Montessori

Correct
Projected
17–27
Final
6–20
Projected winner
Gamble Montessori
Margin error
4.1

Sep 4, 2026

Springfield Northwestern vs. Miami East

Correct
Projected
18–25
Final
7–48
Projected winner
Miami East
Margin error
34.0

Sep 4, 2026

Dayton Northridge vs. Brookville

Correct
Projected
17–23
Final
8–35
Projected winner
Brookville
Margin error
21.3

Sep 4, 2026

Milton-Union vs. Oakwood

Correct
Projected
17–25
Final
0–42
Projected winner
Oakwood
Margin error
34.5

Sep 4, 2026

McClain vs. Paint Valley

Correct
Projected
24–16
Final
56–0
Projected winner
McClain
Margin error
47.7

Sep 4, 2026

Hillsboro vs. Waynesville

Correct
Projected
17–23
Final
13–52
Projected winner
Waynesville
Margin error
32.7

Sep 4, 2026

Graham Local vs. Covington

Correct
Projected
24–20
Final
27–0
Projected winner
Graham Local
Margin error
22.0

Sep 4, 2026

Bethel-Tate vs. North College Hill

Correct
Projected
17–24
Final
0–53
Projected winner
North College Hill
Margin error
46.5

Sep 4, 2026

Batavia vs. Kenton Ridge

Correct
Projected
18–23
Final
6–46
Projected winner
Kenton Ridge
Margin error
35.1

Sep 4, 2026

Archbishop McNicholas vs. Ironton

Correct
Projected
18–28
Final
10–17
Projected winner
Ironton
Margin error
3.5

Sep 4, 2026

Vinton County vs. Trimble

Correct
Projected
24–18
Final
49–28
Projected winner
Vinton County
Margin error
14.8

Sep 4, 2026

River View vs. Chippewa

Correct
Projected
17–21
Final
0–66
Projected winner
Chippewa
Margin error
61.8

Sep 4, 2026

Philo vs. Morgan

Correct
Projected
21–20
Final
35–6
Projected winner
Philo
Margin error
27.8

Sep 4, 2026

Maysville vs. West Muskingum

Correct
Projected
20–23
Final
7–44
Projected winner
West Muskingum
Margin error
34.2

Sep 4, 2026

John Glenn vs. New Lexington

Correct
Projected
21–24
Final
14–29
Projected winner
New Lexington
Margin error
11.6

Sep 4, 2026

Indian Creek vs. Union Local

Correct
Projected
21–22
Final
7–48
Projected winner
Union Local
Margin error
39.6

Sep 4, 2026

Heath vs. Columbus Academy

Correct
Projected
21–20
Final
24–18
Projected winner
Heath
Margin error
5.5

Sep 4, 2026

Gallia Academy vs. Point Pleasant

Missed
Projected
17–16
Final
17–35
Projected winner
Gallia Academy
Margin error
19.5

Sep 4, 2026

Fairfield Union vs. Hebron Lakewood

Correct
Projected
21–16
Final
47–13
Projected winner
Fairfield Union
Margin error
29.2

Sep 4, 2026

Circleville vs. Westfall

Correct
Projected
21–18
Final
49–15
Projected winner
Circleville
Margin error
30.6

Sep 4, 2026

Cambridge vs. Meadowbrook

Missed
Projected
19–17
Final
7–40
Projected winner
Cambridge
Margin error
34.0

Sep 4, 2026

Wauseon vs. Eastwood

Missed
Projected
21–19
Final
7–12
Projected winner
Wauseon
Margin error
6.4

Sep 4, 2026

Van Wert vs. Lima Bath

Correct
Projected
23–21
Final
43–20
Projected winner
Van Wert
Margin error
21.3

Sep 4, 2026

Upper Sandusky vs. Wynford

Correct
Projected
22–19
Final
48–7
Projected winner
Upper Sandusky
Margin error
37.6

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.