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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

Coventry vs. Akron Manchester

Correct
Projected
17–23
Final
0–56
Projected winner
Akron Manchester
Margin error
50.8

Sep 18, 2026

Canfield vs. Youngstown

Missed
Projected
19–24
Final
28–27
Projected winner
Youngstown
Margin error
5.1

Sep 18, 2026

Alliance vs. Minerva

Missed
Projected
18–22
Final
41–10
Projected winner
Minerva
Margin error
35.0

Sep 18, 2026

Withrow vs. Archbishop McNicholas

Missed
Projected
24–21
Final
21–24
Projected winner
Withrow
Margin error
6.4

Sep 18, 2026

Tecumseh vs. Benjamin Logan

Correct
Projected
20–23
Final
6–35
Projected winner
Benjamin Logan
Margin error
26.5

Sep 18, 2026

Talawanda vs. Archbishop Carroll

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

Sep 18, 2026

Sidney vs. Xenia

Missed
Projected
23–16
Final
20–54
Projected winner
Sidney
Margin error
40.8

Sep 18, 2026

Stebbins vs. Greenville

Correct
Projected
22–16
Final
21–12
Projected winner
Stebbins
Margin error
2.2

Sep 18, 2026

Piqua vs. West Carrollton

Correct
Projected
19–16
Final
19–7
Projected winner
Piqua
Margin error
8.1

Sep 18, 2026

Loveland vs. Turpin

Correct
Projected
18–19
Final
21–42
Projected winner
Turpin
Margin error
20.0

Sep 18, 2026

Lima Senior vs. Rogers

Correct
Projected
24–14
Final
79–6
Projected winner
Lima Senior
Margin error
62.8

Sep 18, 2026

LaSalle vs. Hamilton Badin

Missed
Projected
19–26
Final
27–14
Projected winner
Hamilton Badin
Margin error
19.7

Sep 18, 2026

Harrison vs. Ross

Correct
Projected
27–20
Final
28–7
Projected winner
Harrison
Margin error
14.7

Sep 18, 2026

Fairborn vs. Troy

Correct
Projected
23–24
Final
14–31
Projected winner
Troy
Margin error
16.3

Sep 18, 2026

Trenton Edgewood vs. Chaminade Julienne

Correct
Projected
21–18
Final
38–22
Projected winner
Trenton Edgewood
Margin error
12.6

Sep 18, 2026

Belmont vs. Dunbar

Missed
Projected
25–20
Final
24–27
Projected winner
Belmont
Margin error
7.6

Sep 18, 2026

Anderson vs. Kings

Correct
Projected
27–19
Final
49–33
Projected winner
Anderson
Margin error
7.2

Sep 18, 2026

Wooster vs. Lexington

Missed
Projected
20–19
Final
30–44
Projected winner
Wooster
Margin error
15.2

Sep 18, 2026

Whitehall-Yearling vs. KIPP Columbus

Correct
Projected
23–18
Final
27–0
Projected winner
Whitehall-Yearling
Margin error
22.3

Sep 18, 2026

Whetstone vs. Bexley

Correct
Projected
18–19
Final
0–42
Projected winner
Bexley
Margin error
40.3

Sep 18, 2026

Watkins Memorial vs. Heath

Missed
Projected
20–24
Final
17–10
Projected winner
Heath
Margin error
11.5

Sep 18, 2026

St. Charles vs. Franklin Heights

Correct
Projected
30–14
Final
36–10
Projected winner
St. Charles
Margin error
10.4

Sep 18, 2026

Northland vs. Columbus East

Correct
Projected
17–25
Final
0–70
Projected winner
Columbus East
Margin error
61.9

Sep 18, 2026

Mount Vernon vs. Newark Catholic

Missed
Projected
21–22
Final
28–21
Projected winner
Newark Catholic
Margin error
8.8

Sep 18, 2026

Marion Harding vs. River Valley

Correct
Projected
21–17
Final
26–8
Projected winner
Marion Harding
Margin error
14.5

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.