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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 25, 2026

Eastlake North vs. Lutheran West

Correct
Projected
24–17
Final
35–0
Projected winner
Eastlake North
Margin error
27.6

Sep 25, 2026

Nordonia vs. North Royalton

Correct
Projected
26–18
Final
34–25
Projected winner
Nordonia
Margin error
1.1

Sep 25, 2026

Mayfield vs. Brecksville

Correct
Projected
29–18
Final
21–7
Projected winner
Mayfield
Margin error
2.6

Sep 25, 2026

Maple Heights vs. Warrensville Heights

Correct
Projected
27–16
Final
48–7
Projected winner
Maple Heights
Margin error
30.5

Sep 25, 2026

Madison vs. Jefferson Area

Correct
Projected
20–19
Final
46–26
Projected winner
Madison
Margin error
19.3

Sep 25, 2026

Lakeside vs. hARVEY

Correct
Projected
17–21
Final
18–20
Projected winner
hARVEY
Margin error
1.6

Sep 25, 2026

John Marshall vs. Rhodes

Correct
Projected
18–19
Final
6–66
Projected winner
Rhodes
Margin error
59.7

Sep 25, 2026

Ellet vs. Firestone

Missed
Projected
18–17
Final
7–14
Projected winner
Ellet
Margin error
7.5

Sep 25, 2026

Cuyahoga Falls vs. Akron Springfield

Correct
Projected
21–15
Final
50–3
Projected winner
Cuyahoga Falls
Margin error
40.5

Sep 25, 2026

John Hay vs. Glenville

Correct
Projected
20–23
Final
0–46
Projected winner
Glenville
Margin error
43.1

Sep 25, 2026

Brush vs. Garfield Heights

Correct
Projected
19–25
Final
14–26
Projected winner
Garfield Heights
Margin error
6.4

Sep 25, 2026

Boardman vs. McDowell

Correct
Projected
17–22
Final
21–48
Projected winner
McDowell
Margin error
21.8

Sep 25, 2026

Austintown-Fitch vs. Erie

Correct
Projected
30–16
Final
42–0
Projected winner
Austintown-Fitch
Margin error
27.5

Sep 25, 2026

Archbishop Hoban vs. Walsh Jesuit

Missed
Projected
17–27
Final
30–0
Projected winner
Walsh Jesuit
Margin error
39.7

Sep 25, 2026

Western Hills vs. Withrow

Correct
Projected
20–22
Final
0–52
Projected winner
Withrow
Margin error
50.4

Sep 25, 2026

Walnut Hills vs. Loveland

Correct
Projected
16–17
Final
42–49
Projected winner
Loveland
Margin error
6.4

Sep 25, 2026

West Clermont vs. Turpin

Missed
Projected
20–19
Final
19–55
Projected winner
West Clermont
Margin error
36.2

Sep 25, 2026

Milford vs. Anderson

Correct
Projected
19–25
Final
14–58
Projected winner
Anderson
Margin error
37.5

Sep 25, 2026

Lebanon vs. Kings

Correct
Projected
23–21
Final
35–24
Projected winner
Lebanon
Margin error
9.4

Sep 25, 2026

Lakota East vs. Princeton

Correct
Projected
23–24
Final
22–48
Projected winner
Princeton
Margin error
25.1

Sep 25, 2026

Hamilton vs. Mason

Correct
Projected
17–20
Final
3–40
Projected winner
Mason
Margin error
33.6

Sep 25, 2026

Fairfield vs. Lakota West

Correct
Projected
19–26
Final
7–38
Projected winner
Lakota West
Margin error
23.5

Sep 25, 2026

Elder vs. St. Xavier

Missed
Projected
31–18
Final
29–31
Projected winner
Elder
Margin error
15.0

Sep 25, 2026

Colerain vs. Oak Hills

Missed
Projected
19–23
Final
47–31
Projected winner
Oak Hills
Margin error
19.3

Sep 25, 2026

Moeller vs. LaSalle

Correct
Projected
24–23
Final
45–0
Projected winner
Moeller
Margin error
43.3

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.