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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 9, 2026

Stow-Munroe Falls vs. Nordonia

Correct
Projected
20–25
Final
14–45
Projected winner
Nordonia
Margin error
25.9

Oct 9, 2026

Lakewood St. Edward vs. Football North Inc. (via Clarkson SS)

Missed
Projected
24–25
Final
63–46
Projected winner
Football North Inc. (via Clarkson SS)
Margin error
17.1

Oct 9, 2026

Solon vs. Medina Highland

Correct
Projected
15–29
Final
7–51
Projected winner
Medina Highland
Margin error
31.0

Oct 9, 2026

Mentor vs. Shaker Heights

Correct
Projected
28–13
Final
42–3
Projected winner
Mentor
Margin error
23.9

Oct 9, 2026

Medina vs. North Royalton

Missed
Projected
18–20
Final
35–27
Projected winner
North Royalton
Margin error
9.9

Oct 9, 2026

Lorain vs. Strongsville

Correct
Projected
17–24
Final
6–45
Projected winner
Strongsville
Margin error
31.7

Oct 9, 2026

GlenOak vs. Massillon Jackson

Correct
Projected
14–27
Final
0–35
Projected winner
Massillon Jackson
Margin error
21.8

Oct 9, 2026

Elyria vs. Midview

Correct
Projected
15–21
Final
6–40
Projected winner
Midview
Margin error
27.9

Oct 9, 2026

Cleveland Heights vs. Euclid

Correct
Projected
17–22
Final
12–30
Projected winner
Euclid
Margin error
12.0

Oct 9, 2026

Canton McKinley vs. Uniontown Lake

Correct
Projected
27–20
Final
34–7
Projected winner
Canton McKinley
Margin error
20.0

Oct 9, 2026

Brunswick vs. Painesville Riverside

Missed
Projected
24–18
Final
31–50
Projected winner
Brunswick
Margin error
25.7

Oct 9, 2026

Berea-Midpark vs. Olmsted Falls

Missed
Projected
23–22
Final
38–42
Projected winner
Berea-Midpark
Margin error
5.2

Oct 8, 2026

Dunbar vs. Cincinnati Northwest

Missed
Projected
23–21
Final
17–32
Projected winner
Dunbar
Margin error
17.6

Oct 8, 2026

Rogers vs. Toledo Woodward

Missed
Projected
17–16
Final
16–22
Projected winner
Rogers
Margin error
6.7

Oct 8, 2026

Cleveland East Tech vs. Cleveland JFK

Correct
Projected
16–17
Final
0–36
Projected winner
Cleveland JFK
Margin error
34.7

Oct 8, 2026

Mifflin vs. Linden McKinley

Correct
Projected
14–26
Final
0–66
Projected winner
Linden McKinley
Margin error
54.2

Oct 8, 2026

Columbus Independence vs. Columbus West

Correct
Projected
13–29
Final
16–34
Projected winner
Columbus West
Margin error
2.5

Oct 8, 2026

Westlake vs. Rocky River

Correct
Projected
17–27
Final
19–48
Projected winner
Rocky River
Margin error
18.9

Oct 8, 2026

Valley Forge vs. Bay

Correct
Projected
16–20
Final
13–25
Projected winner
Bay
Margin error
8.3

Oct 8, 2026

North Olmsted vs. Medina Buckeye

Missed
Projected
23–19
Final
17–20
Projected winner
North Olmsted
Margin error
6.5

Oct 8, 2026

Lakewood vs. Normandy

Correct
Projected
28–9
Final
42–0
Projected winner
Lakewood
Margin error
23.3

Oct 8, 2026

Bowsher vs. Lima Senior

Correct
Projected
17–26
Final
7–48
Projected winner
Lima Senior
Margin error
31.6

Oct 8, 2026

Madison vs. Eastlake North

Correct
Projected
18–28
Final
7–37
Projected winner
Eastlake North
Margin error
20.1

Oct 8, 2026

Garfield Heights vs. Warrensville Heights

Correct
Projected
27–16
Final
44–19
Projected winner
Garfield Heights
Margin error
14.8

Oct 8, 2026

John Hay vs. Rhodes

Correct
Projected
18–20
Final
6–16
Projected winner
Rhodes
Margin error
7.8

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.