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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 18, 2026

Champion vs. Garrettsville Garfield

Correct
Projected
19–25
Final
0–53
Projected winner
Garrettsville Garfield
Margin error
47.4

Sep 18, 2026

Buckeye Local vs. Steubenville Catholic Central

Missed
Projected
19–18
Final
8–20
Projected winner
Buckeye Local
Margin error
14.0

Sep 18, 2026

Berkshire vs. Crestwood

Correct
Projected
22–21
Final
28–21
Projected winner
Berkshire
Margin error
6.7

Sep 18, 2026

Beachwood vs. Wickliffe

Correct
Projected
20–24
Final
14–50
Projected winner
Wickliffe
Margin error
33.0

Sep 18, 2026

Waverly vs. Portsmouth West

Correct
Projected
22–23
Final
0–28
Projected winner
Portsmouth West
Margin error
27.4

Sep 18, 2026

Urbana vs. North Union

Correct
Projected
26–24
Final
34–33
Projected winner
Urbana
Margin error
0.7

Sep 18, 2026

Unioto vs. Westfall

Correct
Projected
25–17
Final
43–7
Projected winner
Unioto
Margin error
27.9

Sep 18, 2026

Taylor vs. Wyoming

Correct
Projected
16–29
Final
13–21
Projected winner
Wyoming
Margin error
4.4

Sep 18, 2026

Oakwood vs. Waynesville

Correct
Projected
27–21
Final
56–28
Projected winner
Oakwood
Margin error
22.2

Sep 18, 2026

Norwood vs. St. Bernard-Elmwood Place

Correct
Projected
16–25
Final
0–35
Projected winner
St. Bernard-Elmwood Place
Margin error
26.4

Sep 18, 2026

Milton-Union vs. Dayton Northridge

Correct
Projected
17–19
Final
13–28
Projected winner
Dayton Northridge
Margin error
13.3

Sep 18, 2026

Kenton Ridge vs. Springfield Northwestern

Correct
Projected
25–16
Final
49–7
Projected winner
Kenton Ridge
Margin error
33.5

Sep 18, 2026

Indian Hill vs. Mariemont

Correct
Projected
23–21
Final
48–7
Projected winner
Indian Hill
Margin error
39.0

Sep 18, 2026

Hillsboro vs. Williamsburg

Correct
Projected
20–21
Final
14–49
Projected winner
Williamsburg
Margin error
33.2

Sep 18, 2026

Eaton vs. Valley View

Correct
Projected
21–23
Final
7–49
Projected winner
Valley View
Margin error
40.3

Sep 18, 2026

Batavia vs. Bethel-Tate

Correct
Projected
19–15
Final
24–20
Projected winner
Batavia
Margin error
0.3

Sep 18, 2026

Vincent Warren vs. Reedsville Eastern

Correct
Projected
19–22
Final
21–28
Projected winner
Reedsville Eastern
Margin error
3.9

Sep 18, 2026

Philo vs. West Muskingum

Correct
Projected
22–25
Final
21–42
Projected winner
West Muskingum
Margin error
18.7

Sep 18, 2026

Maysville vs. Crooksville

Missed
Projected
17–24
Final
20–19
Projected winner
Crooksville
Margin error
8.4

Sep 18, 2026

Logan Elm vs. Liberty Union

Correct
Projected
21–16
Final
33–14
Projected winner
Logan Elm
Margin error
13.8

Sep 18, 2026

Licking Valley vs. Johnstown

Correct
Projected
24–22
Final
28–13
Projected winner
Licking Valley
Margin error
12.6

Sep 18, 2026

John Glenn vs. Meadowbrook

Missed
Projected
20–22
Final
31–0
Projected winner
Meadowbrook
Margin error
33.4

Sep 18, 2026

Indian Creek vs. Brooke

Correct
Projected
21–15
Final
15–6
Projected winner
Indian Creek
Margin error
2.6

Sep 18, 2026

Gallia Academy vs. Fairland

Correct
Projected
16–24
Final
8–26
Projected winner
Fairland
Margin error
10.8

Sep 18, 2026

Circleville vs. McClain

Missed
Projected
19–27
Final
28–21
Projected winner
McClain
Margin error
15.4

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.