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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 10, 2026

Accuracy calculated Oct 11, 2026 8:00 AM EDT

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Performance summary

348 games evaluated with ospr-2026.1

Games evaluated

348

Winner accuracy

71.3%

248 correct

Average margin error

21.8

Lower is better

Average score error

13.3

Per-team points

Brier score

0.181

Probability accuracy

Close projection rate

15.2%

Correct and within 7

Regular season vs. playoffs

A direct comparison using the selected season, week, team, and OSPR model version.

Regular season

Games
348
Winner accuracy
71.3%
Margin error
21.8

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 8 348 71.3% 21.8

Probability calibration

Observed win rate should approach the average predicted probability as sample sizes grow.

Probability Games Predicted Observed Gap Brier
0–9% 6 8.1% 16.7% +8.6 0.140
10–19% 37 15.2% 5.4% -9.8 0.061
20–29% 27 25.0% 22.2% -2.7 0.171
30–39% 40 35.2% 27.5% -7.7 0.193
40–49% 63 45.3% 49.2% +3.9 0.249
50–59% 59 55.2% 59.3% +4.2 0.243
60–69% 37 64.3% 59.5% -4.9 0.232
70–79% 48 74.9% 83.3% +8.4 0.140
80–89% 27 84.3% 92.6% +8.3 0.075
90–99% 4 91.4% 100.0% +8.6 0.007

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 338 70.7% 21.6 points
Medium 10 90.0% 28.3 points
Low 0 — —

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
Close Game 210 59.5% 19.5 points
Upset Possible 199 59.3% 19.4 points
Limited Data 5 40.0% 26.0 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
Oct 9, 2026 Bellbrook vs. Monroe 21–26 56–0 60.6 points
Oct 9, 2026 Norwalk vs. Perkins 12–29 0–75 58.3 points
Oct 9, 2026 Erie Mason vs. Whiteford 14–28 0–72 58.0 points
Oct 9, 2026 Waterford vs. Federal Hocking 25–15 68–0 58.0 points
Oct 9, 2026 Blanchester vs. Williamsburg 23–20 18–69 54.3 points

Evaluated games

The game-level record behind the summary above.

Oct 9, 2026

Whitehall-Yearling vs. Franklin Heights

Correct
Projected
29–16
Final
42–3
Projected winner
Whitehall-Yearling
Margin error
25.7

Oct 9, 2026

Watkins Memorial vs. Granville

Correct
Projected
18–26
Final
7–41
Projected winner
Granville
Margin error
25.8

Oct 9, 2026

Massillon Washington vs. Cornerstone Christian

Correct
Projected
24–25
Final
21–35
Projected winner
Cornerstone Christian
Margin error
13.5

Oct 9, 2026

Walnut Ridge vs. Briggs

Missed
Projected
13–26
Final
48–14
Projected winner
Briggs
Margin error
47.0

Oct 9, 2026

St. Charles vs. Columbus DeSales

Missed
Projected
25–23
Final
20–28
Projected winner
St. Charles
Margin error
9.8

Oct 9, 2026

Northland vs. Whetstone

Correct
Projected
20–15
Final
48–7
Projected winner
Northland
Margin error
35.5

Oct 9, 2026

Mount Vernon vs. Zanesville

Correct
Projected
18–25
Final
35–38
Projected winner
Zanesville
Margin error
4.0

Oct 9, 2026

Marion Harding vs. Marion Pleasant

Missed
Projected
19–21
Final
28–14
Projected winner
Marion Pleasant
Margin error
15.9

Oct 9, 2026

Licking Heights vs. Licking Valley

Correct
Projected
16–28
Final
20–56
Projected winner
Licking Valley
Margin error
23.7

Oct 9, 2026

North Canton Hoover vs. Massillon Perry

Missed
Projected
22–20
Final
10–35
Projected winner
North Canton Hoover
Margin error
26.8

Oct 9, 2026

Uniontown Green vs. Louisville

Correct
Projected
21–22
Final
14–30
Projected winner
Louisville
Margin error
15.4

Oct 9, 2026

Canal Winchester vs. Logan

Correct
Projected
24–16
Final
70–28
Projected winner
Canal Winchester
Margin error
34.3

Oct 9, 2026

Waite vs. Scott

Correct
Projected
21–15
Final
17–6
Projected winner
Waite
Margin error
4.9

Oct 9, 2026

Toledo St. Francis vs. Lumen Christi

Correct
Projected
15–28
Final
28–43
Projected winner
Lumen Christi
Margin error
1.8

Oct 9, 2026

Toledo St. John's vs. Warren De La Salle

Correct
Projected
20–24
Final
24–27
Projected winner
Warren De La Salle
Margin error
0.8

Oct 9, 2026

Fremont Ross vs. Holland Springfield

Correct
Projected
22–20
Final
56–14
Projected winner
Fremont Ross
Margin error
40.9

Oct 9, 2026

Toledo Central Catholic vs. Birmingham Brother Rice

Correct
Projected
28–20
Final
49–27
Projected winner
Toledo Central Catholic
Margin error
14.7

Oct 9, 2026

Brecksville vs. Aurora

Correct
Projected
20–22
Final
21–27
Projected winner
Aurora
Margin error
3.8

Oct 9, 2026

Barberton vs. Revere

Correct
Projected
19–22
Final
7–28
Projected winner
Revere
Margin error
18.7

Oct 9, 2026

Avon Lake vs. North Ridgeville

Missed
Projected
19–22
Final
35–21
Projected winner
North Ridgeville
Margin error
17.1

Oct 9, 2026

Avon vs. Amherst Steele

Correct
Projected
27–17
Final
45–7
Projected winner
Avon
Margin error
27.5

Oct 9, 2026

Anthony Wayne vs. Northview

Correct
Projected
19–18
Final
35–3
Projected winner
Anthony Wayne
Margin error
30.8

Oct 9, 2026

Warren G. Harding vs. Cardinal Mooney

Correct
Projected
21–24
Final
3–24
Projected winner
Cardinal Mooney
Margin error
17.5

Oct 9, 2026

Walsh Jesuit vs. Ursuline

Missed
Projected
23–24
Final
45–7
Projected winner
Ursuline
Margin error
39.6

Oct 9, 2026

University School vs. Struthers

Correct
Projected
27–15
Final
47–12
Projected winner
University School
Margin error
22.7

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.