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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.

Aug 21, 2026

Union Local vs. Vincent Warren

Missed
Projected
20–23
Final
34–0
Projected winner
Vincent Warren
Margin error
36.8

Aug 21, 2026

River View vs. Tri-County North

Correct
Projected
14–21
Final
0–62
Projected winner
Tri-County North
Margin error
55.3

Aug 21, 2026

Logan Elm vs. Zane Trace

Correct
Projected
20–25
Final
27–46
Projected winner
Zane Trace
Margin error
14.6

Aug 21, 2026

John Glenn vs. Barnesville

Correct
Projected
23–24
Final
19–34
Projected winner
Barnesville
Margin error
13.7

Aug 21, 2026

Highland vs. Fredericktown

Missed
Projected
18–23
Final
28–7
Projected winner
Fredericktown
Margin error
26.5

Aug 21, 2026

Heath vs. Philo

Correct
Projected
20–26
Final
21–50
Projected winner
Philo
Margin error
23.2

Aug 21, 2026

Fairfield Union vs. New Lexington

Correct
Projected
23–25
Final
14–33
Projected winner
New Lexington
Margin error
16.8

Aug 21, 2026

Claymont vs. Harrison Central

Missed
Projected
16–24
Final
43–0
Projected winner
Harrison Central
Margin error
51.1

Aug 21, 2026

Bexley vs. Linden McKinley

Correct
Projected
19–24
Final
0–20
Projected winner
Linden McKinley
Margin error
14.9

Aug 21, 2026

Wauseon vs. Fairview

Correct
Projected
13–31
Final
26–56
Projected winner
Fairview
Margin error
12.1

Aug 21, 2026

Vermilion vs. Johnstown

Correct
Projected
17–29
Final
14–34
Projected winner
Johnstown
Margin error
7.9

Aug 21, 2026

Upper Sandusky vs. Northmor

Missed
Projected
21–24
Final
30–21
Projected winner
Northmor
Margin error
12.5

Aug 21, 2026

Rossford vs. Northwood

Correct
Projected
14–23
Final
24–27
Projected winner
Northwood
Margin error
6.3

Aug 21, 2026

Port Clinton vs. Norwalk St. Paul

Correct
Projected
27–18
Final
35–0
Projected winner
Port Clinton
Margin error
26.4

Aug 21, 2026

Lutheran West vs. Elyria Catholic

Correct
Projected
18–19
Final
13–47
Projected winner
Elyria Catholic
Margin error
33.1

Aug 21, 2026

Keystone vs. Norwayne

Missed
Projected
20–28
Final
36–21
Projected winner
Norwayne
Margin error
22.1

Aug 21, 2026

Kenton vs. Eastwood

Correct
Projected
19–24
Final
20–28
Projected winner
Eastwood
Margin error
3.0

Aug 21, 2026

Huron vs. Oak Harbor

Correct
Projected
20–27
Final
7–42
Projected winner
Oak Harbor
Margin error
27.0

Aug 21, 2026

Milan Edison vs. Patrick Henry

Correct
Projected
22–26
Final
21–42
Projected winner
Patrick Henry
Margin error
17.4

Aug 21, 2026

Bryan vs. Van Wert

Correct
Projected
17–21
Final
6–41
Projected winner
Van Wert
Margin error
31.4

Aug 21, 2026

Bellevue vs. Clyde

Missed
Projected
20–23
Final
42–0
Projected winner
Clyde
Margin error
45.4

Aug 21, 2026

West Branch vs. St. Clairsville

Correct
Projected
26–25
Final
37–6
Projected winner
West Branch
Margin error
30.8

Aug 21, 2026

Cleveland VASJ vs. Perkins

Missed
Projected
26–24
Final
41–44
Projected winner
Cleveland VASJ
Margin error
5.4

Aug 21, 2026

Shaw vs. Clearview

Correct
Projected
21–20
Final
40–30
Projected winner
Shaw
Margin error
8.4

Aug 21, 2026

Poland Seminary vs. Salem

Correct
Projected
23–25
Final
17–21
Projected winner
Salem
Margin error
2.3

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.