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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 2, 2026

Athens vs. Meigs

Correct
Projected
25–22
Final
35–7
Projected winner
Athens
Margin error
25.8

Oct 2, 2026

Sandusky vs. Perkins

Correct
Projected
13–29
Final
6–42
Projected winner
Perkins
Margin error
20.1

Oct 2, 2026

Rogers vs. Vanlue

Correct
Projected
18–14
Final
50–0
Projected winner
Rogers
Margin error
46.4

Oct 2, 2026

River Valley vs. Highland

Missed
Projected
19–18
Final
33–34
Projected winner
River Valley
Margin error
1.6

Oct 2, 2026

Maumee vs. Fostoria

Correct
Projected
21–16
Final
68–12
Projected winner
Maumee
Margin error
51.2

Oct 2, 2026

Lexington vs. West Holmes

Correct
Projected
17–26
Final
0–35
Projected winner
West Holmes
Margin error
25.8

Oct 2, 2026

Holy Name vs. Cuyahoga Valley CA

Correct
Projected
21–24
Final
25–26
Projected winner
Cuyahoga Valley CA
Margin error
1.2

Oct 2, 2026

Defiance vs. Kenton

Correct
Projected
18–20
Final
6–34
Projected winner
Kenton
Margin error
26.3

Oct 2, 2026

Cleveland East Tech vs. Glenville

Correct
Projected
14–28
Final
0–33
Projected winner
Glenville
Margin error
19.0

Oct 2, 2026

Tiffin Columbian vs. Norwalk

Correct
Projected
25–13
Final
63–7
Projected winner
Tiffin Columbian
Margin error
43.4

Oct 2, 2026

Cloverleaf vs. Field

Correct
Projected
26–15
Final
63–14
Projected winner
Cloverleaf
Margin error
39.0

Oct 2, 2026

Bowling Green vs. Liberty-Benton

Correct
Projected
16–20
Final
20–41
Projected winner
Liberty-Benton
Margin error
17.0

Oct 2, 2026

Ashland vs. Mansfield Senior

Correct
Projected
21–15
Final
30–7
Projected winner
Ashland
Margin error
17.1

Oct 2, 2026

West Geauga vs. Jefferson Area

Correct
Projected
26–15
Final
42–0
Projected winner
West Geauga
Margin error
30.4

Oct 2, 2026

Tallmadge vs. Woodridge

Correct
Projected
19–28
Final
21–35
Projected winner
Woodridge
Margin error
5.4

Oct 2, 2026

Ravenna vs. Streetsboro

Correct
Projected
18–25
Final
14–63
Projected winner
Streetsboro
Margin error
42.3

Oct 2, 2026

ND Cathedral Latin vs. Padua Franciscan

Correct
Projected
26–19
Final
41–14
Projected winner
ND Cathedral Latin
Margin error
20.1

Oct 2, 2026

Niles McKinley vs. Poland Seminary

Correct
Projected
20–23
Final
0–41
Projected winner
Poland Seminary
Margin error
37.5

Oct 2, 2026

New Philadelphia vs. Mansfield Madison

Missed
Projected
18–22
Final
34–28
Projected winner
Mansfield Madison
Margin error
9.7

Oct 2, 2026

Marlington vs. Salem

Correct
Projected
15–29
Final
29–36
Projected winner
Salem
Margin error
6.2

Oct 2, 2026

Hubbard vs. Beaver

Correct
Projected
25–21
Final
31–0
Projected winner
Hubbard
Margin error
27.9

Oct 2, 2026

Coventry vs. Canton Central Catholic

Correct
Projected
14–24
Final
0–49
Projected winner
Canton Central Catholic
Margin error
38.9

Oct 2, 2026

Chardon vs. Lutheran West

Correct
Projected
21–18
Final
58–0
Projected winner
Chardon
Margin error
54.3

Oct 2, 2026

Canfield vs. Louisville

Correct
Projected
22–23
Final
21–29
Projected winner
Louisville
Margin error
7.6

Oct 2, 2026

Aurora vs. Kenston

Correct
Projected
18–24
Final
8–21
Projected winner
Kenston
Margin error
7.1

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.