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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 4, 2026

Monroe vs. Wyoming

Correct
Projected
22–24
Final
21–42
Projected winner
Wyoming
Margin error
19.6

Sep 4, 2026

Elida vs. Lima Shawnee

Missed
Projected
23–21
Final
7–28
Projected winner
Elida
Margin error
22.9

Sep 4, 2026

Dunbar vs. Cincinnati College Prep

Missed
Projected
23–22
Final
26–42
Projected winner
Dunbar
Margin error
17.4

Sep 4, 2026

Celina vs. St. Marys Memorial

Missed
Projected
20–24
Final
30–28
Projected winner
St. Marys Memorial
Margin error
6.3

Sep 4, 2026

Archbishop Carroll vs. Ponitz

Correct
Projected
21–16
Final
15–14
Projected winner
Archbishop Carroll
Margin error
4.3

Sep 4, 2026

Bishop Fenwick vs. Franklin

Correct
Projected
25–15
Final
39–14
Projected winner
Bishop Fenwick
Margin error
15.5

Sep 4, 2026

Bellbrook vs. Valley View

Correct
Projected
26–20
Final
22–0
Projected winner
Bellbrook
Margin error
16.2

Sep 4, 2026

Archbishop Alter vs. Taft

Correct
Projected
24–17
Final
44–12
Projected winner
Archbishop Alter
Margin error
24.7

Sep 4, 2026

Aiken vs. Goshen

Correct
Projected
18–27
Final
12–34
Projected winner
Goshen
Margin error
13.7

Sep 4, 2026

Wilmington vs. Mount Healthy

Missed
Projected
24–18
Final
27–36
Projected winner
Wilmington
Margin error
14.9

Sep 4, 2026

Tri-Valley vs. Clinton-Massie

Correct
Projected
25–17
Final
57–28
Projected winner
Tri-Valley
Margin error
20.1

Sep 4, 2026

Columbus DeSales vs. Columbus East

Correct
Projected
24–22
Final
35–14
Projected winner
Columbus DeSales
Margin error
18.6

Sep 4, 2026

Miami Trace vs. Logan Elm

Missed
Projected
19–24
Final
38–7
Projected winner
Logan Elm
Margin error
36.3

Sep 4, 2026

Jonathan Alder vs. Bloom-Carroll

Correct
Projected
25–19
Final
35–14
Projected winner
Jonathan Alder
Margin error
14.7

Sep 4, 2026

Jackson vs. Wheelersburg

Missed
Projected
22–24
Final
14–3
Projected winner
Wheelersburg
Margin error
12.7

Sep 4, 2026

Granville vs. Johnstown

Missed
Projected
20–26
Final
35–12
Projected winner
Johnstown
Margin error
29.3

Sep 4, 2026

Eastmoor Academy vs. Linden McKinley

Correct
Projected
19–22
Final
0–38
Projected winner
Linden McKinley
Margin error
34.7

Sep 4, 2026

Chillicothe vs. Western Brown

Missed
Projected
22–24
Final
56–21
Projected winner
Western Brown
Margin error
37.2

Sep 4, 2026

Bishop Hartley vs. Chaminade Julienne

Missed
Projected
21–16
Final
0–28
Projected winner
Bishop Hartley
Margin error
33.0

Sep 4, 2026

Athens vs. Marietta

Correct
Projected
23–19
Final
38–10
Projected winner
Athens
Margin error
24.5

Sep 4, 2026

West Holmes vs. Orrville

Missed
Projected
20–26
Final
50–39
Projected winner
Orrville
Margin error
17.4

Sep 4, 2026

Rogers vs. Rossford

Correct
Projected
19–20
Final
14–35
Projected winner
Rossford
Margin error
20.1

Sep 4, 2026

River Valley vs. Buckeye Valley

Correct
Projected
17–22
Final
21–35
Projected winner
Buckeye Valley
Margin error
8.9

Sep 4, 2026

Mansfield Madison vs. Norwalk

Correct
Projected
22–16
Final
42–7
Projected winner
Mansfield Madison
Margin error
29.5

Sep 4, 2026

Lexington vs. Clear Fork

Correct
Projected
16–27
Final
7–17
Projected winner
Clear Fork
Margin error
0.8

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.