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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 4, 2026

Montpelier vs. Edgerton

Correct
Projected
21–20
Final
33–14
Projected winner
Montpelier
Margin error
17.7

Sep 4, 2026

Hicksville vs. Edon

Correct
Projected
14–28
Final
6–50
Projected winner
Edon
Margin error
30.0

Sep 4, 2026

Delta vs. Gibsonburg

Correct
Projected
23–22
Final
50–6
Projected winner
Delta
Margin error
43.1

Sep 4, 2026

Ashland Crestview vs. Independence

Correct
Projected
17–21
Final
7–24
Projected winner
Independence
Margin error
12.7

Sep 4, 2026

Columbus Grove vs. Patrick Henry

Correct
Projected
23–21
Final
21–14
Projected winner
Columbus Grove
Margin error
5.4

Sep 4, 2026

Colonel Crawford vs. Hopewell-Loudon

Correct
Projected
21–23
Final
22–38
Projected winner
Hopewell-Loudon
Margin error
14.2

Sep 4, 2026

Carey vs. Lucas

Missed
Projected
17–23
Final
40–7
Projected winner
Lucas
Margin error
38.9

Sep 4, 2026

Archbold vs. Tinora

Correct
Projected
27–16
Final
38–7
Projected winner
Archbold
Margin error
21.0

Sep 4, 2026

Tuscarawas Valley vs. East Knox

Correct
Projected
22–23
Final
0–33
Projected winner
East Knox
Margin error
32.7

Sep 4, 2026

St. Thomas Aquinas vs. Tuscarawas Central Catholic

Missed
Projected
21–19
Final
27–28
Projected winner
St. Thomas Aquinas
Margin error
3.7

Sep 4, 2026

Rittman vs. South Central

Correct
Projected
26–19
Final
49–13
Projected winner
Rittman
Margin error
28.2

Sep 4, 2026

Newton Falls vs. Mathews

Missed
Projected
27–18
Final
7–28
Projected winner
Newton Falls
Margin error
29.9

Sep 4, 2026

Mogadore vs. Dalton

Correct
Projected
20–19
Final
30–21
Projected winner
Mogadore
Margin error
8.4

Sep 4, 2026

LaBrae vs. McDonald

Correct
Projected
22–25
Final
0–28
Projected winner
McDonald
Margin error
24.9

Sep 4, 2026

Hillsdale vs. Loudonville

Missed
Projected
22–25
Final
55–6
Projected winner
Loudonville
Margin error
51.9

Sep 4, 2026

East Palestine vs. Malvern

Missed
Projected
17–20
Final
43–26
Projected winner
Malvern
Margin error
20.2

Sep 4, 2026

East Canton vs. Lowellville

Missed
Projected
19–25
Final
23–14
Projected winner
Lowellville
Margin error
14.1

Sep 4, 2026

Columbiana vs. BC Western Reserve

Missed
Projected
21–22
Final
38–37
Projected winner
BC Western Reserve
Margin error
2.0

Sep 4, 2026

Brookfield vs. Toronto

Correct
Projected
22–24
Final
6–7
Projected winner
Toronto
Margin error
1.1

Sep 4, 2026

Black River vs. Smithville

Correct
Projected
18–27
Final
12–42
Projected winner
Smithville
Margin error
20.8

Sep 4, 2026

West Liberty-Salem vs. Cedarville

Missed
Projected
18–22
Final
31–0
Projected winner
Cedarville
Margin error
34.7

Sep 4, 2026

Versailles vs. St. Henry

Correct
Projected
19–22
Final
21–34
Projected winner
St. Henry
Margin error
9.9

Sep 4, 2026

Meadowdale vs. Purcell Marian

Correct
Projected
17–24
Final
6–18
Projected winner
Purcell Marian
Margin error
5.1

Sep 4, 2026

Mariemont vs. Williamsburg

Missed
Projected
24–21
Final
14–27
Projected winner
Mariemont
Margin error
16.0

Sep 4, 2026

Madison Plains vs. Fairbanks

Correct
Projected
28–15
Final
30–20
Projected winner
Madison Plains
Margin error
2.7

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.