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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 10, 2026

Accuracy calculated Oct 11, 2026 8:00 AM EDT

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Performance summary

348 games evaluated with ospr-2026.1

Games evaluated

348

Winner accuracy

71.3%

248 correct

Average margin error

21.8

Lower is better

Average score error

13.3

Per-team points

Brier score

0.181

Probability accuracy

Close projection rate

15.2%

Correct and within 7

Regular season vs. playoffs

A direct comparison using the selected season, week, team, and OSPR model version.

Regular season

Games
348
Winner accuracy
71.3%
Margin error
21.8

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 8 348 71.3% 21.8

Probability calibration

Observed win rate should approach the average predicted probability as sample sizes grow.

Probability Games Predicted Observed Gap Brier
0–9% 6 8.1% 16.7% +8.6 0.140
10–19% 37 15.2% 5.4% -9.8 0.061
20–29% 27 25.0% 22.2% -2.7 0.171
30–39% 40 35.2% 27.5% -7.7 0.193
40–49% 63 45.3% 49.2% +3.9 0.249
50–59% 59 55.2% 59.3% +4.2 0.243
60–69% 37 64.3% 59.5% -4.9 0.232
70–79% 48 74.9% 83.3% +8.4 0.140
80–89% 27 84.3% 92.6% +8.3 0.075
90–99% 4 91.4% 100.0% +8.6 0.007

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 338 70.7% 21.6 points
Medium 10 90.0% 28.3 points
Low 0 — —

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
Close Game 210 59.5% 19.5 points
Upset Possible 199 59.3% 19.4 points
Limited Data 5 40.0% 26.0 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
Oct 9, 2026 Bellbrook vs. Monroe 21–26 56–0 60.6 points
Oct 9, 2026 Norwalk vs. Perkins 12–29 0–75 58.3 points
Oct 9, 2026 Erie Mason vs. Whiteford 14–28 0–72 58.0 points
Oct 9, 2026 Waterford vs. Federal Hocking 25–15 68–0 58.0 points
Oct 9, 2026 Blanchester vs. Williamsburg 23–20 18–69 54.3 points

Evaluated games

The game-level record behind the summary above.

Oct 9, 2026

Fairview vs. Antwerp

Correct
Projected
26–18
Final
42–6
Projected winner
Fairview
Margin error
28.2

Oct 9, 2026

Delta vs. Liberty Center

Correct
Projected
24–27
Final
14–52
Projected winner
Liberty Center
Margin error
35.3

Oct 9, 2026

Ashland Crestview vs. Western Reserve

Correct
Projected
13–28
Final
8–46
Projected winner
Western Reserve
Margin error
22.7

Oct 9, 2026

Columbus Grove vs. Fort Loramie

Correct
Projected
26–21
Final
35–20
Projected winner
Columbus Grove
Margin error
10.3

Oct 9, 2026

Colonel Crawford vs. Mohawk

Correct
Projected
21–26
Final
27–31
Projected winner
Mohawk
Margin error
0.7

Oct 9, 2026

Carey vs. Hopewell-Loudon

Correct
Projected
20–29
Final
14–42
Projected winner
Hopewell-Loudon
Margin error
18.4

Oct 9, 2026

Bluffton vs. Convoy Crestview

Correct
Projected
30–14
Final
49–12
Projected winner
Bluffton
Margin error
21.8

Oct 9, 2026

Archbold vs. Patrick Henry

Correct
Projected
28–21
Final
44–8
Projected winner
Archbold
Margin error
28.7

Oct 9, 2026

NM Springfield vs. BC Western Reserve

Correct
Projected
23–21
Final
41–0
Projected winner
NM Springfield
Margin error
38.7

Oct 9, 2026

St. Thomas Aquinas vs. Leetonia

Correct
Projected
17–19
Final
12–20
Projected winner
Leetonia
Margin error
5.5

Oct 9, 2026

Norwayne vs. Smithville

Missed
Projected
22–26
Final
31–25
Projected winner
Smithville
Margin error
10.1

Oct 9, 2026

Campbell Memorial vs. Mineral Ridge

Correct
Projected
16–29
Final
14–59
Projected winner
Mineral Ridge
Margin error
32.0

Oct 9, 2026

Hillsdale vs. Rittman

Correct
Projected
27–18
Final
34–7
Projected winner
Hillsdale
Margin error
18.2

Oct 9, 2026

East Palestine vs. Pymatuning Valley

Correct
Projected
22–19
Final
29–28
Projected winner
East Palestine
Margin error
1.0

Oct 9, 2026

East Canton vs. Strasburg-Franklin

Missed
Projected
21–25
Final
32–19
Projected winner
Strasburg-Franklin
Margin error
16.6

Oct 9, 2026

Columbiana vs. Wellsville

Correct
Projected
23–15
Final
42–8
Projected winner
Columbiana
Margin error
25.6

Oct 9, 2026

Canton Central Catholic vs. Warren JFK

Correct
Projected
23–22
Final
20–6
Projected winner
Canton Central Catholic
Margin error
13.6

Oct 9, 2026

West Liberty-Salem vs. Triad

Correct
Projected
21–18
Final
49–14
Projected winner
West Liberty-Salem
Margin error
32.2

Oct 9, 2026

Versailles vs. Delphos St. John's

Missed
Projected
19–20
Final
49–0
Projected winner
Delphos St. John's
Margin error
49.5

Oct 9, 2026

Preble Shawnee vs. Tri-County North

Correct
Projected
24–22
Final
48–27
Projected winner
Preble Shawnee
Margin error
18.5

Oct 9, 2026

Mariemont vs. Reading

Missed
Projected
19–22
Final
22–14
Projected winner
Reading
Margin error
10.8

Oct 9, 2026

Madison Plains vs. Cedarville

Correct
Projected
26–17
Final
50–6
Projected winner
Madison Plains
Margin error
35.0

Oct 9, 2026

East Clinton vs. Fayetteville-Perry

Correct
Projected
14–23
Final
20–30
Projected winner
Fayetteville-Perry
Margin error
0.9

Oct 9, 2026

Clark Montessori vs. North College Hill

Correct
Projected
15–30
Final
0–62
Projected winner
North College Hill
Margin error
47.3

Oct 9, 2026

Cincinnati Hills CA vs. Purcell Marian

Correct
Projected
27–17
Final
37–0
Projected winner
Cincinnati Hills CA
Margin error
27.6

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.