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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.

Sep 11, 2026

Arcanum vs. Bradford

Correct
Projected
24–20
Final
48–0
Projected winner
Arcanum
Margin error
44.3

Sep 11, 2026

Anna vs. St. Henry

Missed
Projected
23–22
Final
0–39
Projected winner
Anna
Margin error
40.5

Sep 11, 2026

Adena vs. Paint Valley

Correct
Projected
20–19
Final
41–7
Projected winner
Adena
Margin error
32.0

Sep 11, 2026

Worthington Christian vs. Newark Catholic

Missed
Projected
24–20
Final
6–15
Projected winner
Worthington Christian
Margin error
12.5

Sep 11, 2026

West Jefferson vs. Cedarville

Correct
Projected
25–18
Final
44–6
Projected winner
West Jefferson
Margin error
30.6

Sep 11, 2026

Northmor vs. Cardington-Lincoln

Correct
Projected
20–17
Final
41–8
Projected winner
Northmor
Margin error
30.4

Sep 11, 2026

Loudonville vs. Mount Gilead

Missed
Projected
22–21
Final
18–46
Projected winner
Loudonville
Margin error
28.7

Sep 11, 2026

Fredericktown vs. Danville

Correct
Projected
19–26
Final
7–52
Projected winner
Danville
Margin error
38.1

Sep 11, 2026

Fort Frye vs. Waterford

Correct
Projected
26–22
Final
20–0
Projected winner
Fort Frye
Margin error
16.5

Sep 11, 2026

Fairland vs. Rock Hill

Missed
Projected
20–24
Final
39–17
Projected winner
Rock Hill
Margin error
27.0

Sep 11, 2026

Centerburg vs. East Knox

Missed
Projected
21–23
Final
21–9
Projected winner
East Knox
Margin error
14.2

Sep 11, 2026

Buckeye Trail vs. Shenandoah

Correct
Projected
15–24
Final
6–44
Projected winner
Shenandoah
Margin error
29.3

Sep 11, 2026

Belpre vs. Saint Marys

Missed
Projected
19–26
Final
34–24
Projected winner
Saint Marys
Margin error
16.4

Sep 11, 2026

Woodmore vs. Marion Elgin

Correct
Projected
25–24
Final
41–24
Projected winner
Woodmore
Margin error
15.8

Sep 11, 2026

Western Reserve vs. Mapleton

Correct
Projected
22–21
Final
56–12
Projected winner
Western Reserve
Margin error
42.8

Sep 11, 2026

Wayne Trace vs. Ayersville

Correct
Projected
24–16
Final
57–15
Projected winner
Wayne Trace
Margin error
34.3

Sep 11, 2026

Van Buren vs. Ada

Missed
Projected
21–25
Final
28–14
Projected winner
Ada
Margin error
18.1

Sep 11, 2026

Tinora vs. Edgerton

Missed
Projected
18–20
Final
52–0
Projected winner
Edgerton
Margin error
54.4

Sep 11, 2026

Seneca East vs. Hopewell-Loudon

Correct
Projected
23–24
Final
22–30
Projected winner
Hopewell-Loudon
Margin error
6.6

Sep 11, 2026

Riverdale vs. Pandora-Gilboa

Correct
Projected
20–21
Final
0–38
Projected winner
Pandora-Gilboa
Margin error
37.3

Sep 11, 2026

Paulding vs. Antwerp

Missed
Projected
22–23
Final
52–6
Projected winner
Antwerp
Margin error
46.0

Sep 11, 2026

Montpelier vs. Erie Mason

Correct
Projected
25–14
Final
39–8
Projected winner
Montpelier
Margin error
20.4

Sep 11, 2026

Gibsonburg vs. McComb

Correct
Projected
19–23
Final
0–17
Projected winner
McComb
Margin error
13.6

Sep 11, 2026

Fairview vs. Hicksville

Correct
Projected
27–13
Final
55–0
Projected winner
Fairview
Margin error
40.8

Sep 11, 2026

Ashland Crestview vs. New London

Correct
Projected
15–19
Final
13–48
Projected winner
New London
Margin error
31.2

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.