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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

St. Marys Memorial vs. Van Wert

Missed
Projected
19–24
Final
43–42
Projected winner
Van Wert
Margin error
6.0

Oct 2, 2026

Lima Shawnee vs. Wapakoneta

Correct
Projected
22–23
Final
14–26
Projected winner
Wapakoneta
Margin error
11.1

Oct 2, 2026

Monroe vs. Eaton

Correct
Projected
24–19
Final
35–17
Projected winner
Monroe
Margin error
12.8

Oct 2, 2026

Hughes vs. Taft

Correct
Projected
29–10
Final
38–6
Projected winner
Hughes
Margin error
12.2

Oct 2, 2026

Goshen vs. New Richmond

Correct
Projected
25–20
Final
48–7
Projected winner
Goshen
Margin error
36.4

Oct 2, 2026

Chaminade Julienne vs. Archbishop McNicholas

Correct
Projected
19–23
Final
0–37
Projected winner
Archbishop McNicholas
Margin error
33.9

Oct 2, 2026

Dunbar vs. Trotwood-Madison

Missed
Projected
24–23
Final
6–51
Projected winner
Dunbar
Margin error
45.5

Oct 2, 2026

Celina vs. Elida

Correct
Projected
28–16
Final
45–21
Projected winner
Celina
Margin error
12.9

Oct 2, 2026

Bellbrook vs. Franklin

Correct
Projected
27–15
Final
42–3
Projected winner
Bellbrook
Margin error
26.8

Oct 2, 2026

Hamilton Badin vs. Bishop Fenwick

Correct
Projected
23–24
Final
24–40
Projected winner
Bishop Fenwick
Margin error
15.8

Oct 2, 2026

Archbishop Alter vs. Archbishop Carroll

Correct
Projected
23–18
Final
50–7
Projected winner
Archbishop Alter
Margin error
37.9

Oct 2, 2026

Wilmington vs. Clinton-Massie

Missed
Projected
25–19
Final
28–31
Projected winner
Wilmington
Margin error
9.0

Oct 2, 2026

Western Brown vs. Batavia

Correct
Projected
21–16
Final
41–21
Projected winner
Western Brown
Margin error
15.0

Oct 2, 2026

Tri-Valley vs. Maysville

Correct
Projected
27–17
Final
41–32
Projected winner
Tri-Valley
Margin error
0.6

Oct 2, 2026

Columbus DeSales vs. Bloom-Carroll

Correct
Projected
24–22
Final
30–0
Projected winner
Columbus DeSales
Margin error
28.5

Oct 2, 2026

Sheridan vs. John Glenn

Correct
Projected
25–21
Final
27–7
Projected winner
Sheridan
Margin error
16.4

Oct 2, 2026

Marietta vs. Williamstown

Correct
Projected
16–23
Final
14–42
Projected winner
Williamstown
Margin error
20.7

Oct 2, 2026

Jonathan Alder vs. Urbana

Correct
Projected
24–25
Final
27–28
Projected winner
Urbana
Margin error
1.0

Oct 2, 2026

Jackson vs. Hillsboro

Correct
Projected
23–20
Final
69–21
Projected winner
Jackson
Margin error
44.9

Oct 2, 2026

Hamilton Township vs. Liberty Union

Correct
Projected
26–16
Final
48–13
Projected winner
Hamilton Township
Margin error
25.3

Oct 2, 2026

Granville vs. Zanesville

Missed
Projected
21–24
Final
36–12
Projected winner
Zanesville
Margin error
27.3

Oct 2, 2026

Chillicothe vs. Miami Trace

Missed
Projected
28–21
Final
14–28
Projected winner
Chillicothe
Margin error
20.1

Oct 2, 2026

Buckeye Valley vs. Bishop Ready

Missed
Projected
19–21
Final
34–7
Projected winner
Bishop Ready
Margin error
28.8

Oct 2, 2026

Bishop Hartley vs. Cleveland VASJ

Correct
Projected
15–25
Final
20–57
Projected winner
Cleveland VASJ
Margin error
26.7

Oct 2, 2026

Bellefontaine vs. London

Correct
Projected
16–26
Final
7–56
Projected winner
London
Margin error
38.5

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.