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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 18, 2026

Madison vs. Willoughby South

Correct
Projected
16–30
Final
7–30
Projected winner
Willoughby South
Margin error
9.8

Sep 18, 2026

Lakeside vs. Ashtabula Edgewood

Correct
Projected
17–25
Final
20–35
Projected winner
Ashtabula Edgewood
Margin error
6.5

Sep 18, 2026

Akron Garfield vs. Padua Franciscan

Correct
Projected
17–22
Final
6–41
Projected winner
Padua Franciscan
Margin error
29.6

Sep 18, 2026

Hudson vs. Nordonia

Missed
Projected
25–24
Final
9–23
Projected winner
Hudson
Margin error
14.8

Sep 18, 2026

Garfield Heights vs. Cleveland VASJ

Correct
Projected
22–23
Final
14–20
Projected winner
Cleveland VASJ
Margin error
5.2

Sep 18, 2026

Firestone vs. Maple Heights

Correct
Projected
12–25
Final
20–50
Projected winner
Maple Heights
Margin error
16.7

Sep 18, 2026

Ellet vs. Shaw

Correct
Projected
15–22
Final
7–12
Projected winner
Shaw
Margin error
1.7

Sep 18, 2026

Cuyahoga Falls vs. Field

Missed
Projected
20–18
Final
0–1
Projected winner
Cuyahoga Falls
Margin error
3.2

Sep 18, 2026

John Hay vs. Gilmour Academy

Missed
Projected
23–18
Final
0–40
Projected winner
John Hay
Margin error
44.1

Sep 18, 2026

Brush vs. Richmond Heights

Missed
Projected
21–24
Final
33–0
Projected winner
Richmond Heights
Margin error
36.3

Sep 18, 2026

Boardman vs. Cuyahoga Valley CA

Correct
Projected
17–25
Final
7–28
Projected winner
Cuyahoga Valley CA
Margin error
12.9

Sep 18, 2026

Benedictine vs. Mentor Lake Catholic

Correct
Projected
23–19
Final
6–0
Projected winner
Benedictine
Margin error
2.5

Sep 18, 2026

Bedford vs. ND Cathedral Latin

Correct
Projected
19–24
Final
12–42
Projected winner
ND Cathedral Latin
Margin error
25.3

Sep 18, 2026

Western Hills vs. North College Hill

Correct
Projected
20–25
Final
0–54
Projected winner
North College Hill
Margin error
48.7

Sep 18, 2026

Walnut Hills vs. Winton Woods

Correct
Projected
14–27
Final
0–54
Projected winner
Winton Woods
Margin error
41.1

Sep 18, 2026

Milford vs. West Clermont

Correct
Projected
19–20
Final
41–43
Projected winner
West Clermont
Margin error
1.3

Sep 18, 2026

Mason vs. Oak Hills

Correct
Projected
20–22
Final
21–28
Projected winner
Oak Hills
Margin error
4.7

Sep 18, 2026

Lebanon vs. Little Miami

Correct
Projected
23–20
Final
36–35
Projected winner
Lebanon
Margin error
2.9

Sep 18, 2026

Lakota West vs. Princeton

Correct
Projected
23–26
Final
24–27
Projected winner
Princeton
Margin error
0.7

Sep 18, 2026

Hamilton vs. Lakota East

Correct
Projected
16–24
Final
13–37
Projected winner
Lakota East
Margin error
16.2

Sep 18, 2026

Fairfield vs. Sycamore

Missed
Projected
18–19
Final
42–19
Projected winner
Sycamore
Margin error
23.9

Sep 18, 2026

Elder vs. St. Xavier

Correct
Projected
28–23
Final
31–0
Projected winner
Elder
Margin error
25.2

Sep 18, 2026

Moeller vs. St. Xavier

Correct
Projected
25–22
Final
30–15
Projected winner
Moeller
Margin error
12.4

Sep 18, 2026

Westland vs. Cleveland East Tech

Correct
Projected
27–13
Final
48–0
Projected winner
Westland
Margin error
34.4

Sep 18, 2026

Westerville Central vs. Olentangy Berlin

Missed
Projected
23–20
Final
14–24
Projected winner
Westerville Central
Margin error
12.1

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.