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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

Cleveland Central Catholic vs. Lutheran East

Correct
Projected
25–18
Final
28–6
Projected winner
Cleveland Central Catholic
Margin error
14.4

Oct 9, 2026

Bowling Green vs. Napoleon

Missed
Projected
19–18
Final
7–35
Projected winner
Bowling Green
Margin error
28.3

Oct 9, 2026

Ashland vs. West Holmes

Correct
Projected
17–27
Final
21–42
Projected winner
West Holmes
Margin error
10.3

Oct 9, 2026

Tallmadge vs. Cloverleaf

Correct
Projected
20–27
Final
17–24
Projected winner
Cloverleaf
Margin error
0.9

Oct 9, 2026

Streetsboro vs. Field

Correct
Projected
26–14
Final
42–0
Projected winner
Streetsboro
Margin error
30.3

Oct 9, 2026

Akron Springfield vs. Woodridge

Correct
Projected
13–28
Final
7–48
Projected winner
Woodridge
Margin error
26.3

Oct 9, 2026

ND Cathedral Latin vs. Cuyahoga Valley CA

Correct
Projected
27–20
Final
35–7
Projected winner
ND Cathedral Latin
Margin error
20.6

Oct 9, 2026

Niles McKinley vs. South Range

Correct
Projected
16–28
Final
2–41
Projected winner
South Range
Margin error
27.0

Oct 9, 2026

Marlington vs. Carrollton

Missed
Projected
24–17
Final
11–38
Projected winner
Marlington
Margin error
33.9

Oct 9, 2026

New Philadelphia vs. Lexington

Correct
Projected
23–17
Final
63–35
Projected winner
New Philadelphia
Margin error
22.8

Oct 9, 2026

Hubbard vs. Lakeview

Correct
Projected
26–16
Final
56–3
Projected winner
Hubbard
Margin error
43.2

Oct 9, 2026

Howland vs. Salem

Missed
Projected
19–26
Final
28–14
Projected winner
Salem
Margin error
20.9

Oct 9, 2026

Geneva vs. West Geauga

Correct
Projected
18–26
Final
0–42
Projected winner
West Geauga
Margin error
33.2

Oct 9, 2026

Youngstown vs. Cleveland VASJ

Correct
Projected
16–28
Final
28–35
Projected winner
Cleveland VASJ
Margin error
4.7

Oct 9, 2026

Dover vs. Mansfield Madison

Correct
Projected
27–15
Final
43–13
Projected winner
Dover
Margin error
18.8

Oct 9, 2026

Chardon vs. Perry

Correct
Projected
19–30
Final
14–21
Projected winner
Perry
Margin error
4.0

Oct 9, 2026

Canfield vs. Wheeling Park

Missed
Projected
18–25
Final
23–7
Projected winner
Wheeling Park
Margin error
23.2

Oct 9, 2026

Alliance vs. Coventry

Correct
Projected
23–15
Final
34–0
Projected winner
Alliance
Margin error
25.9

Oct 9, 2026

Withrow vs. Aiken

Correct
Projected
26–18
Final
33–0
Projected winner
Withrow
Margin error
24.1

Oct 9, 2026

West Carrollton vs. Butler

Correct
Projected
12–27
Final
6–35
Projected winner
Butler
Margin error
14.3

Oct 9, 2026

Tecumseh vs. Bellefontaine

Correct
Projected
18–19
Final
26–34
Projected winner
Bellefontaine
Margin error
7.8

Oct 9, 2026

Sidney vs. Troy

Correct
Projected
18–24
Final
0–49
Projected winner
Troy
Margin error
42.6

Oct 9, 2026

Piqua vs. Stebbins

Missed
Projected
18–22
Final
28–7
Projected winner
Stebbins
Margin error
24.7

Oct 9, 2026

Little Miami vs. Loveland

Correct
Projected
21–18
Final
34–0
Projected winner
Little Miami
Margin error
30.7

Oct 9, 2026

Harrison vs. Talawanda

Correct
Projected
26–25
Final
20–7
Projected winner
Harrison
Margin error
12.3

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.