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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

Dublin Scioto vs. St. Charles

Correct
Projected
16–25
Final
12–14
Projected winner
St. Charles
Margin error
6.6

Oct 2, 2026

Canal Winchester vs. Teays Valley

Correct
Projected
25–19
Final
19–7
Projected winner
Canal Winchester
Margin error
6.5

Oct 2, 2026

Big Walnut vs. Worthington Kilbourne

Missed
Projected
25–26
Final
35–28
Projected winner
Worthington Kilbourne
Margin error
7.5

Oct 2, 2026

Valley Forge vs. Westlake

Missed
Projected
12–25
Final
21–20
Projected winner
Westlake
Margin error
13.9

Oct 2, 2026

Toledo St. Francis vs. Birmingham Brother Rice

Correct
Projected
16–25
Final
19–46
Projected winner
Birmingham Brother Rice
Margin error
17.7

Oct 2, 2026

Toledo St. John's vs. Dearborn Divine Child

Correct
Projected
18–29
Final
6–20
Projected winner
Dearborn Divine Child
Margin error
2.8

Oct 2, 2026

Holland Springfield vs. Napoleon

Correct
Projected
24–15
Final
35–28
Projected winner
Holland Springfield
Margin error
1.5

Oct 2, 2026

North Olmsted vs. Rocky River

Correct
Projected
20–26
Final
0–42
Projected winner
Rocky River
Margin error
35.6

Oct 2, 2026

Normandy vs. Medina Buckeye

Correct
Projected
16–20
Final
6–56
Projected winner
Medina Buckeye
Margin error
45.8

Oct 2, 2026

Lakewood vs. Bay

Correct
Projected
25–15
Final
36–35
Projected winner
Lakewood
Margin error
9.5

Oct 2, 2026

Medina Highland vs. North Royalton

Correct
Projected
24–20
Final
52–14
Projected winner
Medina Highland
Margin error
34.0

Oct 2, 2026

Rhodes vs. Cleveland JFK

Correct
Projected
22–15
Final
46–0
Projected winner
Rhodes
Margin error
38.3

Oct 2, 2026

Fremont Ross vs. Southview

Correct
Projected
24–17
Final
16–13
Projected winner
Fremont Ross
Margin error
4.5

Oct 2, 2026

Brecksville vs. Copley

Missed
Projected
16–30
Final
26–21
Projected winner
Copley
Margin error
19.0

Oct 2, 2026

Bowsher vs. Scott

Correct
Projected
19–16
Final
29–14
Projected winner
Bowsher
Margin error
11.6

Oct 2, 2026

Avon Lake vs. Olmsted Falls

Correct
Projected
22–23
Final
10–28
Projected winner
Olmsted Falls
Margin error
16.2

Oct 2, 2026

Avon vs. Midview

Correct
Projected
26–19
Final
56–12
Projected winner
Avon
Margin error
36.8

Oct 2, 2026

Anthony Wayne vs. Oregon Clay

Correct
Projected
15–31
Final
0–23
Projected winner
Oregon Clay
Margin error
7.9

Oct 2, 2026

Walsh Jesuit vs. Akron St. Vincent-St. Mary

Correct
Projected
23–17
Final
56–7
Projected winner
Walsh Jesuit
Margin error
43.4

Oct 2, 2026

Twinsburg vs. Barberton

Missed
Projected
18–21
Final
26–6
Projected winner
Barberton
Margin error
22.0

Oct 2, 2026

Kent Roosevelt vs. Akron Springfield

Correct
Projected
23–14
Final
46–0
Projected winner
Kent Roosevelt
Margin error
37.3

Oct 2, 2026

Willoughby South vs. Geneva

Correct
Projected
27–18
Final
45–7
Projected winner
Willoughby South
Margin error
28.1

Oct 2, 2026

Mayfield vs. Revere

Correct
Projected
28–18
Final
33–10
Projected winner
Mayfield
Margin error
13.7

Oct 2, 2026

Maple Heights vs. Youngstown

Missed
Projected
28–16
Final
6–28
Projected winner
Maple Heights
Margin error
33.9

Oct 2, 2026

Madison vs. hARVEY

Correct
Projected
19–22
Final
7–20
Projected winner
hARVEY
Margin error
10.1

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.