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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 16, 2026

Accuracy calculated Oct 17, 2026 8:01 AM EDT

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Performance summary

3,178 games evaluated with ospr-2026.1

Games evaluated

3,178

Winner accuracy

69.8%

2,217 correct

Average margin error

22.3

Lower is better

Average score error

13.1

Per-team points

Brier score

0.197

Probability accuracy

Close projection rate

14.5%

Correct and within 7

Regular season vs. playoffs

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

Regular season

Games
3,178
Winner accuracy
69.8%
Margin error
22.3

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 9 340 79.7% 20.5

Probability calibration

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

Probability Games Predicted Observed Gap Brier
0–9% 21 8.4% 4.8% -3.7 0.045
10–19% 209 15.8% 8.6% -7.2 0.084
20–29% 351 25.4% 21.1% -4.3 0.168
30–39% 487 35.1% 33.5% -1.6 0.222
40–49% 608 45.1% 43.1% -2.0 0.244
50–59% 533 54.9% 57.4% +2.6 0.246
60–69% 439 64.8% 71.5% +6.7 0.204
70–79% 356 74.8% 80.6% +5.9 0.158
80–89% 157 84.1% 88.5% +4.4 0.101
90–99% 17 91.6% 94.1% +2.5 0.057

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 2,686 70.7% 22.2 points
Medium 49 87.8% 23.3 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 1,516 62.3% 22.9 points
Close Game 2,217 63.5% 22.1 points
Upset Possible 2,064 62.4% 21.9 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
Oct 16, 2026 Springfield Northwestern vs. Benjamin Logan 15–25 0–78 68.5 points
Oct 16, 2026 Trimble vs. Waterford 21–24 0–69 65.9 points
Sep 18, 2026 Trotwood-Madison vs. Taft 23–17 72–0 65.6 points

Evaluated games

The game-level record behind the summary above.

Oct 2, 2026

Pepper Pike Orange vs. Perry

Correct
Projected
19–25
Final
14–56
Projected winner
Perry
Margin error
36.0

Oct 2, 2026

Canal Fulton Northwest vs. Orrville

Correct
Projected
21–24
Final
19–28
Projected winner
Orrville
Margin error
5.8

Oct 2, 2026

Minerva vs. St. Thomas Aquinas

Correct
Projected
19–17
Final
45–6
Projected winner
Minerva
Margin error
36.7

Oct 2, 2026

Lakeview vs. Struthers

Missed
Projected
18–19
Final
28–12
Projected winner
Struthers
Margin error
16.7

Oct 2, 2026

Mentor Lake Catholic vs. Elyria Catholic

Missed
Projected
20–23
Final
35–0
Projected winner
Elyria Catholic
Margin error
37.6

Oct 2, 2026

Girard vs. South Range

Correct
Projected
25–24
Final
46–42
Projected winner
Girard
Margin error
3.4

Oct 2, 2026

Fairless vs. Akron Manchester

Correct
Projected
21–27
Final
21–27
Projected winner
Akron Manchester
Margin error
0.6

Oct 2, 2026

Ashtabula Edgewood vs. Hawken

Correct
Projected
21–23
Final
7–39
Projected winner
Hawken
Margin error
29.8

Oct 2, 2026

East Liverpool vs. Richmond Edison

Correct
Projected
23–18
Final
7–3
Projected winner
East Liverpool
Margin error
0.5

Oct 2, 2026

Chagrin Falls vs. Brooklyn

Correct
Projected
20–17
Final
48–6
Projected winner
Chagrin Falls
Margin error
38.6

Oct 2, 2026

Canton South vs. Triway

Correct
Projected
16–28
Final
6–62
Projected winner
Triway
Margin error
44.4

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

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.