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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

Clearview vs. Black River

Missed
Projected
20–18
Final
28–41
Projected winner
Clearview
Margin error
14.4

Sep 11, 2026

Clear Fork vs. Ontario

Correct
Projected
20–27
Final
7–17
Projected winner
Ontario
Margin error
3.3

Sep 11, 2026

Bryan vs. Patrick Henry

Correct
Projected
18–23
Final
16–22
Projected winner
Patrick Henry
Margin error
0.4

Sep 11, 2026

Brookside vs. Firelands

Missed
Projected
24–17
Final
37–40
Projected winner
Brookside
Margin error
10.1

Sep 11, 2026

Shaw vs. Richmond Heights

Missed
Projected
23–22
Final
14–26
Projected winner
Shaw
Margin error
12.2

Sep 11, 2026

Perry vs. Jefferson Area

Correct
Projected
27–16
Final
62–0
Projected winner
Perry
Margin error
51.1

Sep 11, 2026

Canal Fulton Northwest vs. Triway

Missed
Projected
22–23
Final
21–18
Projected winner
Triway
Margin error
3.2

Sep 11, 2026

Lakeview vs. South Range

Correct
Projected
14–29
Final
9–56
Projected winner
South Range
Margin error
31.9

Sep 11, 2026

Girard vs. Struthers

Correct
Projected
28–16
Final
49–12
Projected winner
Girard
Margin error
24.5

Sep 11, 2026

Field vs. Woodridge

Correct
Projected
17–25
Final
7–62
Projected winner
Woodridge
Margin error
47.4

Sep 11, 2026

Fairless vs. Tuscarawas Valley

Correct
Projected
24–21
Final
37–0
Projected winner
Fairless
Margin error
33.8

Sep 11, 2026

Canton South vs. Akron Manchester

Correct
Projected
18–21
Final
13–37
Projected winner
Akron Manchester
Margin error
20.5

Sep 11, 2026

Beaver vs. East Liverpool

Missed
Projected
23–22
Final
28–7
Projected winner
Tie
Margin error
21.0

Sep 11, 2026

Cincinnati Woodward vs. Thurgood Marshall

Correct
Projected
17–15
Final
8–0
Projected winner
Cincinnati Woodward
Margin error
6.8

Sep 11, 2026

Wapakoneta vs. Ottawa-Glandorf

Correct
Projected
18–30
Final
24–27
Projected winner
Ottawa-Glandorf
Margin error
8.6

Sep 11, 2026

Lima Shawnee vs. Lima Bath

Missed
Projected
22–20
Final
28–34
Projected winner
Lima Shawnee
Margin error
8.2

Sep 11, 2026

New Richmond vs. Cincinnati Hills CA

Missed
Projected
21–20
Final
19–36
Projected winner
New Richmond
Margin error
18.3

Sep 11, 2026

Mount Healthy vs. Taft

Correct
Projected
20–16
Final
35–0
Projected winner
Mount Healthy
Margin error
30.2

Sep 11, 2026

Monroe vs. Ponitz

Correct
Projected
22–17
Final
48–0
Projected winner
Monroe
Margin error
42.9

Sep 11, 2026

Hughes vs. Purcell Marian

Correct
Projected
23–19
Final
16–8
Projected winner
Hughes
Margin error
3.4

Sep 11, 2026

Goshen vs. Bethel-Tate

Correct
Projected
25–16
Final
42–7
Projected winner
Goshen
Margin error
26.0

Sep 11, 2026

Elida vs. Kenton

Missed
Projected
22–19
Final
20–35
Projected winner
Elida
Margin error
17.1

Sep 11, 2026

Celina vs. Van Wert

Missed
Projected
22–23
Final
49–28
Projected winner
Van Wert
Margin error
22.0

Sep 11, 2026

Archbishop Carroll vs. Cincinnati Northwest

Correct
Projected
20–21
Final
0–26
Projected winner
Cincinnati Northwest
Margin error
24.3

Sep 11, 2026

Bellbrook vs. Chaminade Julienne

Correct
Projected
27–18
Final
29–7
Projected winner
Bellbrook
Margin error
12.8

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.