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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 25, 2026

Harvest Prep vs. Roger Bacon

Correct
Projected
20–19
Final
41–7
Projected winner
Harvest Prep
Margin error
33.5

Sep 25, 2026

Chesapeake vs. Portsmouth

Correct
Projected
18–19
Final
3–20
Projected winner
Portsmouth
Margin error
16.6

Sep 25, 2026

Wynford vs. Mohawk

Correct
Projected
19–26
Final
7–35
Projected winner
Mohawk
Margin error
21.4

Sep 25, 2026

Willard vs. Buckeye Central

Missed
Projected
19–20
Final
32–0
Projected winner
Buckeye Central
Margin error
32.0

Sep 25, 2026

Waynedale vs. Hillsdale

Correct
Projected
17–24
Final
7–62
Projected winner
Hillsdale
Margin error
47.8

Sep 25, 2026

Swanton vs. Archbold

Correct
Projected
15–29
Final
0–72
Projected winner
Archbold
Margin error
57.9

Sep 25, 2026

WS Northwestern vs. Smithville

Correct
Projected
19–26
Final
0–34
Projected winner
Smithville
Margin error
26.9

Sep 25, 2026

Lakota vs. Margaretta

Correct
Projected
22–23
Final
0–7
Projected winner
Margaretta
Margin error
6.6

Sep 25, 2026

Indian Lake vs. North Union

Correct
Projected
23–24
Final
7–21
Projected winner
North Union
Margin error
13.5

Sep 25, 2026

Fostoria vs. Millbury Lake

Correct
Projected
13–25
Final
27–45
Projected winner
Millbury Lake
Margin error
5.8

Sep 25, 2026

Genoa vs. Oak Harbor

Correct
Projected
23–21
Final
42–27
Projected winner
Genoa
Margin error
13.5

Sep 25, 2026

Elmwood vs. Van Buren

Correct
Projected
23–21
Final
21–20
Projected winner
Elmwood
Margin error
0.8

Sep 25, 2026

Eastwood vs. Otsego

Missed
Projected
23–24
Final
43–41
Projected winner
Otsego
Margin error
3.4

Sep 25, 2026

Chippewa vs. Norwayne

Correct
Projected
21–24
Final
7–21
Projected winner
Norwayne
Margin error
11.4

Sep 25, 2026

Waterloo vs. Mineral Ridge

Correct
Projected
16–25
Final
14–53
Projected winner
Mineral Ridge
Margin error
29.6

Sep 25, 2026

Rootstown vs. Fairport Harding

Correct
Projected
23–16
Final
40–0
Projected winner
Rootstown
Margin error
32.6

Sep 25, 2026

Akron Manchester vs. Tuslaw

Correct
Projected
24–22
Final
49–0
Projected winner
Akron Manchester
Margin error
46.9

Sep 25, 2026

Lutheran East vs. Warren JFK

Correct
Projected
16–26
Final
6–25
Projected winner
Warren JFK
Margin error
8.1

Sep 25, 2026

Youngstown Liberty vs. Newton Falls

Correct
Projected
27–19
Final
56–0
Projected winner
Youngstown Liberty
Margin error
48.6

Sep 25, 2026

Harrison Central vs. Barnesville

Correct
Projected
17–28
Final
13–68
Projected winner
Barnesville
Margin error
43.5

Sep 25, 2026

Garrettsville Garfield vs. Ravenna Southeast

Correct
Projected
26–20
Final
47–7
Projected winner
Garrettsville Garfield
Margin error
33.3

Sep 25, 2026

Garaway vs. Tuscarawas Valley

Correct
Projected
26–18
Final
49–16
Projected winner
Garaway
Margin error
25.9

Sep 25, 2026

Richmond Edison vs. Toronto

Correct
Projected
18–26
Final
25–40
Projected winner
Toronto
Margin error
7.5

Sep 25, 2026

Columbiana Crestview vs. Brookfield

Correct
Projected
22–23
Final
6–34
Projected winner
Brookfield
Margin error
27.7

Sep 25, 2026

Conneaut vs. Crestwood

Correct
Projected
23–22
Final
40–28
Projected winner
Conneaut
Margin error
11.0

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.