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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 20, 2026

McDermott Northwest vs. Piketon

Correct
Projected
20–24
Final
0–41
Projected winner
Piketon
Margin error
36.9

Aug 20, 2026

Ironton vs. Williamsburg

Missed
Projected
25–26
Final
42–0
Projected winner
Williamsburg
Margin error
43.0

Aug 20, 2026

Harvest Prep vs. Versailles

Missed
Projected
25–20
Final
18–21
Projected winner
Harvest Prep
Margin error
7.6

Aug 20, 2026

Rootstown vs. Ravenna Southeast

Missed
Projected
19–21
Final
14–13
Projected winner
Ravenna Southeast
Margin error
3.1

Aug 20, 2026

Youngstown Liberty vs. Campbell Memorial

Correct
Projected
25–18
Final
45–2
Projected winner
Youngstown Liberty
Margin error
35.2

Aug 20, 2026

Garrettsville Garfield vs. Warren JFK

Correct
Projected
25–21
Final
37–28
Projected winner
Garrettsville Garfield
Margin error
5.4

Aug 20, 2026

Cambridge vs. Indian Creek

Correct
Projected
13–27
Final
36–49
Projected winner
Indian Creek
Margin error
1.4

Aug 20, 2026

Fairless vs. Sandy Valley

Missed
Projected
18–21
Final
44–6
Projected winner
Sandy Valley
Margin error
40.8

Aug 20, 2026

Lima Shawnee vs. Lima Central Catholic

Missed
Projected
23–22
Final
20–51
Projected winner
Lima Shawnee
Margin error
31.9

Aug 20, 2026

Jackson vs. Unioto

Missed
Projected
27–25
Final
21–35
Projected winner
Jackson
Margin error
16.3

Aug 20, 2026

Toledo St. John's vs. Scott

Correct
Projected
23–14
Final
44–8
Projected winner
Toledo St. John's
Margin error
26.9

Aug 20, 2026

Akron Garfield vs. Norton

Correct
Projected
17–28
Final
7–49
Projected winner
Norton
Margin error
30.9

Aug 20, 2026

Moeller vs. Princeton

Correct
Projected
23–26
Final
24–31
Projected winner
Princeton
Margin error
4.3

Aug 20, 2026

Fairmont vs. Archbishop Alter

Missed
Projected
24–23
Final
7–14
Projected winner
Fairmont
Margin error
7.7

Aug 20, 2026

St. Ignatius vs. Avon

Correct
Projected
18–29
Final
21–22
Projected winner
Avon
Margin error
9.8

Aug 20, 2026

Massillon Jackson vs. Chardon

Missed
Projected
22–23
Final
34–13
Projected winner
Chardon
Margin error
21.3

Aug 15, 2026

West Union (club) vs. Foxfire

Correct
Projected
21–22
Final
6–12
Projected winner
Foxfire
Margin error
5.2

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.