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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

Miami Trace vs. Waverly

Correct
Projected
23–20
Final
48–14
Projected winner
Miami Trace
Margin error
30.3

Aug 21, 2026

Marietta vs. Morgan

Correct
Projected
18–23
Final
32–35
Projected winner
Morgan
Margin error
1.5

Aug 21, 2026

Jonathan Alder vs. West Liberty-Salem

Correct
Projected
24–23
Final
41–10
Projected winner
Jonathan Alder
Margin error
30.4

Aug 21, 2026

Granville vs. Clear Fork

Missed
Projected
24–23
Final
14–28
Projected winner
Granville
Margin error
15.1

Aug 21, 2026

Eastmoor Academy vs. Bishop Ready

Correct
Projected
21–22
Final
0–41
Projected winner
Bishop Ready
Margin error
40.5

Aug 21, 2026

Centennial vs. Grandview Heights

Correct
Projected
16–28
Final
18–26
Projected winner
Grandview Heights
Margin error
4.3

Aug 21, 2026

Chillicothe vs. Circleville

Missed
Projected
21–22
Final
34–0
Projected winner
Circleville
Margin error
35.4

Aug 21, 2026

Beechcroft vs. KIPP Columbus

Correct
Projected
21–18
Final
27–21
Projected winner
Beechcroft
Margin error
3.4

Aug 21, 2026

Toledo Woodward vs. John Adams

Missed
Projected
16–21
Final
42–8
Projected winner
John Adams
Margin error
39.4

Aug 21, 2026

West Holmes vs. Triway

Correct
Projected
21–26
Final
14–21
Projected winner
Triway
Margin error
1.9

Aug 21, 2026

Rogers vs. Elida

Correct
Projected
19–20
Final
6–48
Projected winner
Elida
Margin error
41.7

Aug 21, 2026

Rocky River vs. Akron Manchester

Correct
Projected
25–24
Final
28–7
Projected winner
Rocky River
Margin error
20.8

Aug 21, 2026

Revere vs. Woodridge

Missed
Projected
23–20
Final
14–25
Projected winner
Revere
Margin error
13.0

Aug 21, 2026

River Valley vs. Bloom-Carroll

Missed
Projected
25–18
Final
9–21
Projected winner
River Valley
Margin error
18.9

Aug 21, 2026

Padua Franciscan vs. South Range

Correct
Projected
17–26
Final
7–46
Projected winner
South Range
Margin error
29.9

Aug 21, 2026

Mansfield Madison vs. Shelby

Correct
Projected
16–28
Final
0–54
Projected winner
Shelby
Margin error
42.9

Aug 21, 2026

Lexington vs. Ontario

Missed
Projected
26–21
Final
7–35
Projected winner
Lexington
Margin error
32.3

Aug 21, 2026

Defiance vs. Napoleon

Missed
Projected
17–26
Final
9–8
Projected winner
Napoleon
Margin error
9.7

Aug 21, 2026

Cleveland Central Catholic vs. Hawken

Correct
Projected
18–24
Final
24–29
Projected winner
Hawken
Margin error
1.3

Aug 21, 2026

Medina Buckeye vs. Cloverleaf

Missed
Projected
27–19
Final
6–10
Projected winner
Medina Buckeye
Margin error
11.6

Aug 21, 2026

Ashland vs. Bay

Correct
Projected
27–21
Final
28–7
Projected winner
Ashland
Margin error
14.8

Aug 21, 2026

West Geauga vs. Fairview Park

Missed
Projected
21–24
Final
27–0
Projected winner
Fairview Park
Margin error
29.7

Aug 21, 2026

Streetsboro vs. Copley

Missed
Projected
25–24
Final
20–28
Projected winner
Streetsboro
Margin error
9.5

Aug 21, 2026

Akron Springfield vs. Waterloo

Correct
Projected
16–17
Final
3–8
Projected winner
Waterloo
Margin error
3.6

Aug 21, 2026

Ravenna vs. Field

Missed
Projected
17–22
Final
28–7
Projected winner
Field
Margin error
26.8

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.