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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

Greenon vs. West Jefferson

Missed
Projected
22–21
Final
28–62
Projected winner
Greenon
Margin error
35.3

Sep 4, 2026

East Clinton vs. Fairfield Christian

Missed
Projected
18–16
Final
16–25
Projected winner
East Clinton
Margin error
10.6

Sep 4, 2026

Clark Montessori vs. Finneytown

Missed
Projected
17–22
Final
39–0
Projected winner
Finneytown
Margin error
44.2

Sep 4, 2026

Cincinnati Hills CA vs. Madeira

Missed
Projected
19–26
Final
24–12
Projected winner
Madeira
Margin error
19.0

Sep 4, 2026

Blanchester vs. Middletown Madison

Correct
Projected
25–16
Final
36–26
Projected winner
Blanchester
Margin error
0.9

Sep 4, 2026

Bethel vs. Carlisle

Correct
Projected
20–22
Final
12–20
Projected winner
Carlisle
Margin error
5.1

Sep 4, 2026

Utica vs. Fredericktown

Correct
Projected
18–21
Final
27–30
Projected winner
Fredericktown
Margin error
0.3

Sep 4, 2026

Portsmouth West vs. Chillicothe Huntington

Missed
Projected
22–24
Final
28–7
Projected winner
Chillicothe Huntington
Margin error
23.5

Sep 4, 2026

South Point vs. Wellston

Correct
Projected
23–21
Final
49–6
Projected winner
South Point
Margin error
41.5

Sep 4, 2026

Portsmouth vs. Greenup County

Correct
Projected
16–22
Final
8–54
Projected winner
Greenup County
Margin error
39.6

Sep 4, 2026

Piketon vs. Lucasville Valley

Missed
Projected
26–21
Final
7–28
Projected winner
Piketon
Margin error
25.3

Sep 4, 2026

Oak Hill vs. Bidwell River Valley

Missed
Projected
19–18
Final
12–38
Projected winner
Oak Hill
Margin error
26.5

Sep 4, 2026

Minford vs. Beaver Eastern

Correct
Projected
18–24
Final
6–31
Projected winner
Beaver Eastern
Margin error
19.2

Sep 4, 2026

Liberty Union vs. Meigs

Correct
Projected
19–22
Final
7–39
Projected winner
Meigs
Margin error
28.9

Sep 4, 2026

Harvest Prep vs. Lumen Christi

Correct
Projected
22–23
Final
22–43
Projected winner
Lumen Christi
Margin error
20.4

Sep 4, 2026

Coshocton vs. WL Ridgewood

Missed
Projected
22–20
Final
0–38
Projected winner
Coshocton
Margin error
40.4

Sep 4, 2026

Chesapeake vs. McDermott Northwest

Correct
Projected
21–17
Final
35–6
Projected winner
Chesapeake
Margin error
25.9

Sep 4, 2026

Amanda-Clearcreek vs. Zane Trace

Correct
Projected
17–24
Final
14–21
Projected winner
Zane Trace
Margin error
0.3

Sep 4, 2026

Alexander vs. Crooksville

Missed
Projected
26–18
Final
20–42
Projected winner
Alexander
Margin error
30.4

Sep 4, 2026

Willard vs. Bucyrus

Missed
Projected
23–20
Final
14–19
Projected winner
Willard
Margin error
8.2

Sep 4, 2026

Waynedale vs. New London

Missed
Projected
17–19
Final
48–29
Projected winner
New London
Margin error
21.0

Sep 4, 2026

Swanton vs. Ottawa Hills

Correct
Projected
16–27
Final
7–14
Projected winner
Ottawa Hills
Margin error
4.1

Sep 4, 2026

Otsego vs. Liberty Center

Correct
Projected
22–24
Final
16–53
Projected winner
Liberty Center
Margin error
34.9

Sep 4, 2026

WS Northwestern vs. Western Reserve

Missed
Projected
23–22
Final
21–38
Projected winner
WS Northwestern
Margin error
17.6

Sep 4, 2026

North Union vs. Northmor

Correct
Projected
25–19
Final
41–14
Projected winner
North Union
Margin error
21.4

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.