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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

Madison Plains vs. Cedarville

Correct
Projected
26–17
Final
50–6
Projected winner
Madison Plains
Margin error
35.0

Oct 9, 2026

East Clinton vs. Fayetteville-Perry

Correct
Projected
14–23
Final
20–30
Projected winner
Fayetteville-Perry
Margin error
0.9

Oct 9, 2026

Clark Montessori vs. North College Hill

Correct
Projected
15–30
Final
0–62
Projected winner
North College Hill
Margin error
47.3

Oct 9, 2026

Cincinnati Hills CA vs. Purcell Marian

Correct
Projected
27–17
Final
37–0
Projected winner
Cincinnati Hills CA
Margin error
27.6

Oct 9, 2026

Blanchester vs. Williamsburg

Missed
Projected
23–20
Final
18–69
Projected winner
Blanchester
Margin error
54.3

Oct 9, 2026

Westfall vs. Zane Trace

Correct
Projected
18–25
Final
0–48
Projected winner
Zane Trace
Margin error
41.5

Oct 9, 2026

South Point vs. Coal Grove

Correct
Projected
28–15
Final
48–36
Projected winner
South Point
Margin error
1.0

Oct 9, 2026

Portsmouth vs. Rock Hill

Correct
Projected
20–18
Final
43–35
Projected winner
Portsmouth
Margin error
5.8

Oct 9, 2026

Piketon vs. Paint Valley

Correct
Projected
24–14
Final
41–13
Projected winner
Piketon
Margin error
18.3

Oct 9, 2026

Oak Hill vs. Lucasville Valley

Correct
Projected
15–22
Final
8–58
Projected winner
Lucasville Valley
Margin error
42.2

Oct 9, 2026

McDermott Northwest vs. Portsmouth West

Correct
Projected
13–28
Final
0–35
Projected winner
Portsmouth West
Margin error
19.4

Oct 9, 2026

New Lexington vs. West Muskingum

Correct
Projected
26–25
Final
47–28
Projected winner
New Lexington
Margin error
18.9

Oct 9, 2026

Meigs vs. Minford

Correct
Projected
22–18
Final
27–21
Projected winner
Meigs
Margin error
1.3

Oct 9, 2026

Harvest Prep vs. Ironton

Correct
Projected
21–26
Final
0–38
Projected winner
Ironton
Margin error
33.8

Oct 9, 2026

Coshocton vs. Crooksville

Correct
Projected
16–22
Final
37–45
Projected winner
Crooksville
Margin error
2.2

Oct 9, 2026

Alexander vs. Nelsonville-York

Correct
Projected
19–26
Final
7–49
Projected winner
Nelsonville-York
Margin error
34.8

Oct 9, 2026

Wynford vs. Bucyrus

Correct
Projected
18–19
Final
7–8
Projected winner
Bucyrus
Margin error
0.3

Oct 9, 2026

Swanton vs. Evergreen

Missed
Projected
17–16
Final
7–36
Projected winner
Swanton
Margin error
29.5

Oct 9, 2026

Orrville vs. Worthington Christian

Correct
Projected
24–23
Final
10–9
Projected winner
Orrville
Margin error
0.0

Oct 9, 2026

WS Northwestern vs. Waynedale

Correct
Projected
18–19
Final
14–31
Projected winner
Waynedale
Margin error
15.8

Oct 9, 2026

Millbury Lake vs. Oak Harbor

Missed
Projected
24–16
Final
12–44
Projected winner
Millbury Lake
Margin error
39.8

Oct 9, 2026

Lakota vs. Ottawa Hills

Missed
Projected
19–20
Final
34–15
Projected winner
Ottawa Hills
Margin error
20.5

Oct 9, 2026

Eastwood vs. Genoa

Missed
Projected
22–25
Final
28–21
Projected winner
Genoa
Margin error
9.2

Oct 9, 2026

Elmwood vs. Leipsic

Correct
Projected
22–25
Final
0–49
Projected winner
Leipsic
Margin error
46.1

Oct 9, 2026

Chippewa vs. Dalton

Correct
Projected
23–21
Final
13–12
Projected winner
Chippewa
Margin error
1.5

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.