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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 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

Oct 9, 2026

Twinsburg vs. Copley

Correct
Projected
14–29
Final
23–42
Projected winner
Copley
Margin error
3.9

Oct 9, 2026

Kent Roosevelt vs. Norton

Correct
Projected
22–26
Final
13–14
Projected winner
Norton
Margin error
3.4

Oct 9, 2026

Willoughby South vs. hARVEY

Correct
Projected
27–18
Final
42–6
Projected winner
Willoughby South
Margin error
26.7

Oct 9, 2026

Mayfield vs. Kenston

Correct
Projected
27–20
Final
7–3
Projected winner
Mayfield
Margin error
2.5

Oct 9, 2026

John Marshall vs. Gilmour Academy

Correct
Projected
14–25
Final
14–55
Projected winner
Gilmour Academy
Margin error
30.0

Oct 9, 2026

Lakeside vs. Lutheran West

Correct
Projected
18–16
Final
27–13
Projected winner
Lakeside
Margin error
11.5

Oct 9, 2026

Hudson vs. Wadsworth

Correct
Projected
25–26
Final
22–24
Projected winner
Wadsworth
Margin error
1.2

Oct 9, 2026

Cuyahoga Falls vs. Ravenna

Missed
Projected
20–19
Final
36–47
Projected winner
Cuyahoga Falls
Margin error
11.6

Oct 9, 2026

Brush vs. Shaw

Correct
Projected
20–19
Final
44–6
Projected winner
Brush
Margin error
37.4

Oct 9, 2026

Austintown-Fitch vs. McDowell

Correct
Projected
27–19
Final
48–10
Projected winner
Austintown-Fitch
Margin error
29.8

Oct 9, 2026

Archbishop Hoban vs. Glenville

Correct
Projected
20–27
Final
0–26
Projected winner
Glenville
Margin error
19.9

Oct 9, 2026

Western Hills vs. Taft

Missed
Projected
21–13
Final
8–21
Projected winner
Western Hills
Margin error
20.9

Oct 9, 2026

Walnut Hills vs. Anderson

Correct
Projected
11–29
Final
19–78
Projected winner
Anderson
Margin error
40.8

Oct 9, 2026

West Clermont vs. Winton Woods

Correct
Projected
19–25
Final
0–57
Projected winner
Winton Woods
Margin error
51.2

Oct 9, 2026

St. Xavier vs. LaSalle

Missed
Projected
21–23
Final
38–14
Projected winner
LaSalle
Margin error
25.7

Oct 9, 2026

Oak Hills vs. Sycamore

Missed
Projected
25–13
Final
35–36
Projected winner
Oak Hills
Margin error
12.9

Oct 9, 2026

Milford vs. Kings

Missed
Projected
22–19
Final
28–31
Projected winner
Milford
Margin error
5.2

Oct 9, 2026

Lebanon vs. Turpin

Missed
Projected
22–20
Final
60–63
Projected winner
Lebanon
Margin error
4.8

Oct 9, 2026

Fairfield vs. Mason

Correct
Projected
21–19
Final
21–10
Projected winner
Fairfield
Margin error
9.6

Oct 9, 2026

Hamilton vs. Princeton

Correct
Projected
14–29
Final
6–60
Projected winner
Princeton
Margin error
38.5

Oct 9, 2026

Elder vs. Highlands

Correct
Projected
26–25
Final
30–27
Projected winner
Elder
Margin error
2.7

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.