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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.

Oct 2, 2026

Lakeside vs. Eastlake North

Correct
Projected
15–28
Final
24–56
Projected winner
Eastlake North
Margin error
19.1

Oct 2, 2026

John Marshall vs. John Adams

Correct
Projected
12–25
Final
14–42
Projected winner
John Adams
Margin error
15.4

Oct 2, 2026

Firestone vs. Buchtel

Correct
Projected
18–19
Final
0–20
Projected winner
Buchtel
Margin error
18.8

Oct 2, 2026

Cuyahoga Falls vs. Norton

Correct
Projected
17–28
Final
7–56
Projected winner
Norton
Margin error
38.8

Oct 2, 2026

John Hay vs. University School

Correct
Projected
17–23
Final
0–33
Projected winner
University School
Margin error
26.8

Oct 2, 2026

Brush vs. Warrensville Heights

Correct
Projected
24–18
Final
35–21
Projected winner
Brush
Margin error
8.3

Oct 2, 2026

Boardman vs. Warren G. Harding

Correct
Projected
16–24
Final
14–33
Projected winner
Warren G. Harding
Margin error
11.5

Oct 2, 2026

Benedictine vs. Cardinal Mooney

Correct
Projected
20–26
Final
7–21
Projected winner
Cardinal Mooney
Margin error
8.1

Oct 2, 2026

Bedford vs. Garfield Heights

Correct
Projected
19–23
Final
6–40
Projected winner
Garfield Heights
Margin error
29.9

Oct 2, 2026

Austintown-Fitch vs. Massillon Perry

Correct
Projected
29–17
Final
62–14
Projected winner
Austintown-Fitch
Margin error
36.0

Oct 2, 2026

Archbishop Hoban vs. Cincinnati Woodward

Correct
Projected
23–16
Final
46–0
Projected winner
Archbishop Hoban
Margin error
39.2

Oct 2, 2026

Western Hills vs. Aiken

Missed
Projected
22–16
Final
6–38
Projected winner
Western Hills
Margin error
38.8

Oct 2, 2026

West Clermont vs. Walnut Hills

Correct
Projected
22–13
Final
45–5
Projected winner
West Clermont
Margin error
30.5

Oct 2, 2026

St. Xavier vs. Trinity

Correct
Projected
22–27
Final
0–41
Projected winner
Trinity
Margin error
36.6

Oct 2, 2026

Mason vs. Princeton

Correct
Projected
16–29
Final
0–47
Projected winner
Princeton
Margin error
33.6

Oct 2, 2026

Lebanon vs. Milford

Correct
Projected
23–18
Final
39–29
Projected winner
Lebanon
Margin error
4.2

Oct 2, 2026

Hamilton vs. Oak Hills

Correct
Projected
15–23
Final
14–42
Projected winner
Oak Hills
Margin error
20.3

Oct 2, 2026

Fairfield vs. Lakota East

Missed
Projected
18–23
Final
35–31
Projected winner
Lakota East
Margin error
9.7

Oct 2, 2026

Colerain vs. Sycamore

Correct
Projected
22–14
Final
41–23
Projected winner
Colerain
Margin error
10.3

Oct 2, 2026

Moeller vs. Elder

Missed
Projected
25–26
Final
35–28
Projected winner
Elder
Margin error
8.0

Oct 2, 2026

Westerville North vs. Westland

Correct
Projected
15–27
Final
12–22
Projected winner
Westland
Margin error
2.0

Oct 2, 2026

Thomas Worthington vs. Olentangy Berlin

Correct
Projected
18–21
Final
7–31
Projected winner
Olentangy Berlin
Margin error
21.1

Oct 2, 2026

Newark vs. Pickerington Central

Missed
Projected
22–21
Final
19–44
Projected winner
Newark
Margin error
25.6

Oct 2, 2026

Lancaster vs. Logan

Missed
Projected
15–21
Final
35–22
Projected winner
Logan
Margin error
18.9

Oct 2, 2026

Hilliard Bradley vs. Hilliard Davidson

Correct
Projected
24–18
Final
13–10
Projected winner
Hilliard Bradley
Margin error
2.8

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.