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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

Wauseon vs. Archbold

Correct
Projected
16–29
Final
7–48
Projected winner
Archbold
Margin error
27.1

Oct 2, 2026

Upper Sandusky vs. Bucyrus

Correct
Projected
21–19
Final
37–0
Projected winner
Upper Sandusky
Margin error
36.0

Oct 2, 2026

Rossford vs. Genoa

Correct
Projected
21–24
Final
13–55
Projected winner
Genoa
Margin error
38.6

Oct 2, 2026

Port Clinton vs. Vermilion

Missed
Projected
25–21
Final
14–24
Projected winner
Port Clinton
Margin error
14.6

Oct 2, 2026

Keystone vs. Wellington

Correct
Projected
28–15
Final
49–0
Projected winner
Keystone
Margin error
35.7

Oct 2, 2026

Galion vs. Marion Pleasant

Missed
Projected
19–22
Final
21–7
Projected winner
Marion Pleasant
Margin error
16.3

Oct 2, 2026

Firelands vs. Black River

Correct
Projected
22–18
Final
41–12
Projected winner
Firelands
Margin error
25.4

Oct 2, 2026

Clyde vs. Milan Edison

Missed
Projected
18–23
Final
38–21
Projected winner
Milan Edison
Margin error
21.6

Oct 2, 2026

Clear Fork vs. Shelby

Correct
Projected
22–28
Final
21–28
Projected winner
Shelby
Margin error
1.5

Oct 2, 2026

Bryan vs. Swanton

Missed
Projected
18–19
Final
35–7
Projected winner
Swanton
Margin error
28.1

Oct 2, 2026

Brookside vs. Clearview

Correct
Projected
23–15
Final
41–20
Projected winner
Brookside
Margin error
12.7

Oct 2, 2026

Bellevue vs. Huron

Correct
Projected
26–17
Final
56–21
Projected winner
Bellevue
Margin error
26.9

Oct 2, 2026

West Branch vs. Carrollton

Correct
Projected
28–17
Final
31–7
Projected winner
West Branch
Margin error
13.9

Oct 2, 2026

Shaw vs. Lutheran East

Missed
Projected
21–17
Final
20–50
Projected winner
Shaw
Margin error
34.3

Oct 2, 2026

Pepper Pike Orange vs. Perry

Correct
Projected
19–25
Final
14–56
Projected winner
Perry
Margin error
36.0

Oct 2, 2026

Canal Fulton Northwest vs. Orrville

Correct
Projected
21–24
Final
19–28
Projected winner
Orrville
Margin error
5.8

Oct 2, 2026

Minerva vs. St. Thomas Aquinas

Correct
Projected
19–17
Final
45–6
Projected winner
Minerva
Margin error
36.7

Oct 2, 2026

Lakeview vs. Struthers

Missed
Projected
18–19
Final
28–12
Projected winner
Struthers
Margin error
16.7

Oct 2, 2026

Mentor Lake Catholic vs. Elyria Catholic

Missed
Projected
20–23
Final
35–0
Projected winner
Elyria Catholic
Margin error
37.6

Oct 2, 2026

Girard vs. South Range

Correct
Projected
25–24
Final
46–42
Projected winner
Girard
Margin error
3.4

Oct 2, 2026

Fairless vs. Akron Manchester

Correct
Projected
21–27
Final
21–27
Projected winner
Akron Manchester
Margin error
0.6

Oct 2, 2026

Ashtabula Edgewood vs. Hawken

Correct
Projected
21–23
Final
7–39
Projected winner
Hawken
Margin error
29.8

Oct 2, 2026

East Liverpool vs. Richmond Edison

Correct
Projected
23–18
Final
7–3
Projected winner
East Liverpool
Margin error
0.5

Oct 2, 2026

Chagrin Falls vs. Brooklyn

Correct
Projected
20–17
Final
48–6
Projected winner
Chagrin Falls
Margin error
38.6

Oct 2, 2026

Canton South vs. Triway

Correct
Projected
16–28
Final
6–62
Projected winner
Triway
Margin error
44.4

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.