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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.

Aug 21, 2026

Eastlake North vs. North Olmsted

Correct
Projected
20–19
Final
51–17
Projected winner
Eastlake North
Margin error
32.9

Aug 21, 2026

Akron North vs. Champion

Correct
Projected
15–18
Final
12–39
Projected winner
Champion
Margin error
24.8

Aug 21, 2026

Nordonia vs. Akron St. Vincent-St. Mary

Correct
Projected
24–16
Final
49–7
Projected winner
Nordonia
Margin error
33.9

Aug 21, 2026

Madison vs. Perry

Correct
Projected
22–27
Final
7–39
Projected winner
Perry
Margin error
26.8

Aug 21, 2026

Garfield Heights vs. Canfield

Correct
Projected
25–22
Final
27–24
Projected winner
Garfield Heights
Margin error
0.2

Aug 21, 2026

Ellet vs. Tallmadge

Missed
Projected
20–18
Final
0–21
Projected winner
Ellet
Margin error
23.8

Aug 21, 2026

Firestone vs. Barberton

Correct
Projected
17–19
Final
6–41
Projected winner
Barberton
Margin error
33.4

Aug 21, 2026

Cuyahoga Falls vs. Willoughby South

Correct
Projected
15–22
Final
0–34
Projected winner
Willoughby South
Margin error
26.5

Aug 21, 2026

John Hay vs. Pepper Pike Orange

Correct
Projected
16–24
Final
6–26
Projected winner
Pepper Pike Orange
Margin error
12.2

Aug 21, 2026

Boardman vs. Youngstown

Missed
Projected
26–17
Final
10–13
Projected winner
Boardman
Margin error
12.4

Aug 21, 2026

Benedictine vs. Gilmour Academy

Missed
Projected
20–25
Final
32–14
Projected winner
Gilmour Academy
Margin error
22.6

Aug 21, 2026

Bedford vs. Akron East

Correct
Projected
21–22
Final
7–12
Projected winner
Akron East
Margin error
5.0

Aug 21, 2026

Austintown-Fitch vs. Hudson

Missed
Projected
25–23
Final
19–24
Projected winner
Austintown-Fitch
Margin error
7.4

Aug 21, 2026

West Clermont vs. Mount Healthy

Missed
Projected
14–23
Final
42–12
Projected winner
Mount Healthy
Margin error
39.3

Aug 21, 2026

Walnut Hills vs. Withrow

Correct
Projected
15–25
Final
13–50
Projected winner
Withrow
Margin error
27.2

Aug 21, 2026

Sycamore vs. Kings

Correct
Projected
16–23
Final
6–34
Projected winner
Kings
Margin error
20.6

Aug 21, 2026

Oak Hills vs. Trenton Edgewood

Correct
Projected
21–20
Final
49–20
Projected winner
Oak Hills
Margin error
27.9

Aug 21, 2026

Milford vs. Harrison

Correct
Projected
18–26
Final
0–35
Projected winner
Harrison
Margin error
27.1

Aug 21, 2026

Lakota West vs. St. Xavier

Correct
Projected
25–24
Final
20–7
Projected winner
Lakota West
Margin error
12.9

Aug 21, 2026

Hamilton vs. Hamilton Badin

Correct
Projected
17–29
Final
7–33
Projected winner
Hamilton Badin
Margin error
14.0

Aug 21, 2026

Westland vs. Teays Valley

Missed
Projected
21–22
Final
33–28
Projected winner
Teays Valley
Margin error
6.2

Aug 21, 2026

Colerain vs. LaSalle

Correct
Projected
16–23
Final
21–30
Projected winner
LaSalle
Margin error
1.5

Aug 21, 2026

Westerville Central vs. Marion Franklin

Missed
Projected
18–20
Final
21–0
Projected winner
Marion Franklin
Margin error
23.3

Aug 21, 2026

Thomas Worthington vs. Dublin Scioto

Missed
Projected
17–20
Final
30–28
Projected winner
Dublin Scioto
Margin error
4.6

Aug 21, 2026

Upper Arlington vs. Olentangy

Missed
Projected
22–25
Final
40–7
Projected winner
Olentangy
Margin error
36.4

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.