Skip to main content

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

Reset

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

Alliance vs. Howland

Missed
Projected
21–23
Final
39–14
Projected winner
Howland
Margin error
26.7

Oct 2, 2026

Xenia vs. Tippecanoe

Correct
Projected
18–29
Final
0–34
Projected winner
Tippecanoe
Margin error
23.3

Oct 2, 2026

Columbus West vs. Marion Franklin

Correct
Projected
22–20
Final
26–22
Projected winner
Columbus West
Margin error
2.3

Oct 2, 2026

Troy vs. Butler

Correct
Projected
24–23
Final
45–31
Projected winner
Troy
Margin error
13.1

Oct 2, 2026

Tecumseh vs. Kenton Ridge

Correct
Projected
17–26
Final
7–35
Projected winner
Kenton Ridge
Margin error
19.2

Oct 2, 2026

Talawanda vs. Cincinnati Northwest

Missed
Projected
24–25
Final
35–26
Projected winner
Cincinnati Northwest
Margin error
9.2

Oct 2, 2026

Stebbins vs. West Carrollton

Correct
Projected
22–14
Final
42–6
Projected winner
Stebbins
Margin error
28.4

Oct 2, 2026

Sidney vs. Greenville

Missed
Projected
19–17
Final
40–41
Projected winner
Sidney
Margin error
3.5

Oct 2, 2026

Loveland vs. Winton Woods

Correct
Projected
18–23
Final
0–56
Projected winner
Winton Woods
Margin error
51.0

Oct 2, 2026

LaSalle vs. Withrow

Correct
Projected
21–23
Final
18–33
Projected winner
Withrow
Margin error
13.5

Oct 2, 2026

Kings vs. Little Miami

Missed
Projected
24–20
Final
19–20
Projected winner
Kings
Margin error
4.3

Oct 2, 2026

Harrison vs. Mount Healthy

Correct
Projected
27–17
Final
49–13
Projected winner
Harrison
Margin error
26.4

Oct 2, 2026

Franklin Heights vs. Columbus Academy

Correct
Projected
16–28
Final
9–29
Projected winner
Columbus Academy
Margin error
9.0

Oct 2, 2026

Fairborn vs. Piqua

Correct
Projected
26–17
Final
36–35
Projected winner
Fairborn
Margin error
7.2

Oct 2, 2026

Trenton Edgewood vs. Ross

Correct
Projected
23–19
Final
42–21
Projected winner
Trenton Edgewood
Margin error
16.7

Oct 2, 2026

Anderson vs. Turpin

Correct
Projected
27–18
Final
66–21
Projected winner
Anderson
Margin error
35.9

Oct 2, 2026

Wooster vs. Dover

Correct
Projected
16–27
Final
22–44
Projected winner
Dover
Margin error
11.1

Oct 2, 2026

Whitehall-Yearling vs. Bexley

Correct
Projected
25–20
Final
19–14
Projected winner
Whitehall-Yearling
Margin error
0.2

Oct 2, 2026

Massillon Washington vs. Farrell

Correct
Projected
26–25
Final
1–0
Projected winner
Massillon Washington
Margin error
0.6

Oct 2, 2026

Walnut Ridge vs. Eastmoor Academy

Missed
Projected
18–19
Final
28–7
Projected winner
Eastmoor Academy
Margin error
22.4

Oct 2, 2026

Mount Vernon vs. Licking Valley

Correct
Projected
19–26
Final
14–20
Projected winner
Licking Valley
Margin error
0.3

Oct 2, 2026

Mifflin vs. Northland

Correct
Projected
14–20
Final
0–58
Projected winner
Northland
Margin error
52.8

Oct 2, 2026

Marion Harding vs. Ontario

Correct
Projected
15–29
Final
12–27
Projected winner
Ontario
Margin error
1.2

Oct 2, 2026

Licking Heights vs. Watkins Memorial

Correct
Projected
18–23
Final
14–16
Projected winner
Watkins Memorial
Margin error
2.7

Oct 2, 2026

Columbus Independence vs. Africentric

Correct
Projected
19–20
Final
8–12
Projected winner
Africentric
Margin error
3.4

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.