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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.

Oct 9, 2026

Wilmington vs. Batavia

Correct
Projected
26–14
Final
21–15
Projected winner
Wilmington
Margin error
5.6

Oct 9, 2026

Western Brown vs. New Richmond

Missed
Projected
21–19
Final
35–40
Projected winner
Western Brown
Margin error
7.0

Oct 9, 2026

Tri-Valley vs. River View

Correct
Projected
27–12
Final
62–0
Projected winner
Tri-Valley
Margin error
46.8

Oct 9, 2026

Sheridan vs. Philo

Correct
Projected
25–23
Final
28–8
Projected winner
Sheridan
Margin error
17.7

Oct 9, 2026

Columbus South vs. Africentric

Correct
Projected
27–15
Final
13–6
Projected winner
Columbus South
Margin error
6.0

Oct 9, 2026

Marietta vs. Fort Frye

Correct
Projected
15–28
Final
0–42
Projected winner
Fort Frye
Margin error
29.0

Oct 9, 2026

Miami Trace vs. Hillsboro

Correct
Projected
25–18
Final
55–15
Projected winner
Miami Trace
Margin error
33.2

Oct 9, 2026

Jonathan Alder vs. London

Missed
Projected
27–23
Final
7–34
Projected winner
Jonathan Alder
Margin error
30.6

Oct 9, 2026

Jackson vs. McClain

Missed
Projected
23–24
Final
32–12
Projected winner
McClain
Margin error
20.4

Oct 9, 2026

Hamilton Township vs. Bloom-Carroll

Correct
Projected
23–22
Final
7–0
Projected winner
Hamilton Township
Margin error
5.3

Oct 9, 2026

Chillicothe vs. Washington CH

Correct
Projected
25–22
Final
51–21
Projected winner
Chillicothe
Margin error
26.7

Oct 9, 2026

Centennial vs. Columbus East

Correct
Projected
12–31
Final
0–61
Projected winner
Columbus East
Margin error
43.0

Oct 9, 2026

Buckeye Valley vs. Columbus Academy

Correct
Projected
20–25
Final
17–39
Projected winner
Columbus Academy
Margin error
17.5

Oct 9, 2026

Bishop Hartley vs. Bishop Watterson

Correct
Projected
16–27
Final
7–63
Projected winner
Bishop Watterson
Margin error
45.5

Oct 9, 2026

Beechcroft vs. Toledo Christian

Correct
Projected
23–18
Final
32–14
Projected winner
Beechcroft
Margin error
12.5

Oct 9, 2026

Athens vs. Wellston

Correct
Projected
26–17
Final
60–8
Projected winner
Athens
Margin error
42.5

Oct 9, 2026

Southview vs. Liberty-Benton

Missed
Projected
17–21
Final
20–17
Projected winner
Liberty-Benton
Margin error
7.8

Oct 9, 2026

Sandusky vs. Clyde

Correct
Projected
18–19
Final
20–21
Projected winner
Clyde
Margin error
0.7

Oct 9, 2026

River Valley vs. Galion

Correct
Projected
18–20
Final
10–27
Projected winner
Galion
Margin error
15.4

Oct 9, 2026

Padua Franciscan vs. Mentor Lake Catholic

Missed
Projected
20–22
Final
28–7
Projected winner
Mentor Lake Catholic
Margin error
23.2

Oct 9, 2026

Norwalk vs. Perkins

Correct
Projected
12–29
Final
0–75
Projected winner
Perkins
Margin error
58.3

Oct 9, 2026

Maumee vs. Otsego

Correct
Projected
22–24
Final
0–43
Projected winner
Otsego
Margin error
40.5

Oct 9, 2026

Holy Name vs. Elyria Catholic

Correct
Projected
23–21
Final
33–14
Projected winner
Holy Name
Margin error
16.7

Oct 9, 2026

Defiance vs. Elida

Correct
Projected
19–20
Final
12–34
Projected winner
Elida
Margin error
21.7

Oct 9, 2026

Tiffin Columbian vs. Bellevue

Missed
Projected
23–24
Final
35–21
Projected winner
Bellevue
Margin error
14.2

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.