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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

Zane Trace vs. Chillicothe Huntington

Missed
Projected
25–19
Final
22–27
Projected winner
Zane Trace
Margin error
10.3

Sep 11, 2026

Wellston vs. Trimble

Missed
Projected
19–21
Final
38–32
Projected winner
Trimble
Margin error
8.3

Sep 11, 2026

Utica vs. Newcomerstown

Missed
Projected
19–25
Final
48–34
Projected winner
Newcomerstown
Margin error
20.2

Sep 11, 2026

South Point vs. Symmes Valley

Correct
Projected
25–26
Final
8–42
Projected winner
Symmes Valley
Margin error
32.6

Sep 11, 2026

WL Ridgewood vs. Wheeling Central Catholic

Missed
Projected
20–28
Final
14–12
Projected winner
Wheeling Central Catholic
Margin error
10.5

Sep 11, 2026

Bidwell River Valley vs. Nelsonville-York

Correct
Projected
16–27
Final
0–47
Projected winner
Nelsonville-York
Margin error
36.3

Sep 11, 2026

Portsmouth West vs. Williamsburg

Missed
Projected
25–21
Final
12–28
Projected winner
Portsmouth West
Margin error
19.2

Sep 11, 2026

Piketon vs. Westfall

Correct
Projected
23–17
Final
42–21
Projected winner
Piketon
Margin error
14.6

Sep 11, 2026

McDermott Northwest vs. Wheelersburg

Correct
Projected
19–22
Final
0–49
Projected winner
Wheelersburg
Margin error
46.3

Sep 11, 2026

New Lexington vs. Crooksville

Correct
Projected
25–22
Final
58–20
Projected winner
New Lexington
Margin error
34.6

Sep 11, 2026

Morgan vs. West Muskingum

Correct
Projected
18–24
Final
0–44
Projected winner
West Muskingum
Margin error
37.8

Sep 11, 2026

Minford vs. Oak Hill

Correct
Projected
20–16
Final
26–6
Projected winner
Minford
Margin error
16.0

Sep 11, 2026

Chesapeake vs. Coal Grove

Missed
Projected
23–16
Final
0–16
Projected winner
Chesapeake
Margin error
22.9

Sep 11, 2026

Wynford vs. Buckeye Central

Correct
Projected
21–19
Final
41–6
Projected winner
Wynford
Margin error
32.5

Sep 11, 2026

Willard vs. Lucas

Missed
Projected
22–19
Final
22–28
Projected winner
Willard
Margin error
8.8

Sep 11, 2026

Waynedale vs. Smithville

Correct
Projected
17–26
Final
13–43
Projected winner
Smithville
Margin error
21.1

Sep 11, 2026

Swanton vs. Liberty Center

Correct
Projected
15–31
Final
0–66
Projected winner
Liberty Center
Margin error
49.7

Sep 11, 2026

Lakota vs. Johnstown Northridge

Missed
Projected
25–19
Final
22–23
Projected winner
Lakota
Margin error
6.6

Sep 11, 2026

Genoa vs. Otsego

Missed
Projected
23–19
Final
14–35
Projected winner
Genoa
Margin error
25.5

Sep 11, 2026

Fostoria vs. Oak Harbor

Correct
Projected
17–25
Final
7–35
Projected winner
Oak Harbor
Margin error
19.6

Sep 11, 2026

Elmwood vs. Arcadia

Missed
Projected
21–22
Final
36–34
Projected winner
Arcadia
Margin error
2.1

Sep 11, 2026

Chippewa vs. WS Northwestern

Missed
Projected
21–23
Final
30–27
Projected winner
WS Northwestern
Margin error
4.6

Sep 11, 2026

Brooklyn vs. Cuyahoga Heights

Correct
Projected
18–23
Final
0–29
Projected winner
Cuyahoga Heights
Margin error
23.8

Sep 11, 2026

Waterloo vs. BC Western Reserve

Correct
Projected
19–22
Final
0–32
Projected winner
BC Western Reserve
Margin error
29.0

Sep 11, 2026

Tuslaw vs. Orrville

Correct
Projected
21–25
Final
28–34
Projected winner
Orrville
Margin error
1.9

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.