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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 16, 2026

Accuracy calculated Oct 17, 2026 8:01 AM EDT

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Performance summary

3,178 games evaluated with ospr-2026.1

Games evaluated

3,178

Winner accuracy

69.8%

2,217 correct

Average margin error

22.3

Lower is better

Average score error

13.1

Per-team points

Brier score

0.197

Probability accuracy

Close projection rate

14.5%

Correct and within 7

Regular season vs. playoffs

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

Regular season

Games
3,178
Winner accuracy
69.8%
Margin error
22.3

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 9 340 79.7% 20.5

Probability calibration

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

Probability Games Predicted Observed Gap Brier
0–9% 21 8.4% 4.8% -3.7 0.045
10–19% 209 15.8% 8.6% -7.2 0.084
20–29% 351 25.4% 21.1% -4.3 0.168
30–39% 487 35.1% 33.5% -1.6 0.222
40–49% 608 45.1% 43.1% -2.0 0.244
50–59% 533 54.9% 57.4% +2.6 0.246
60–69% 439 64.8% 71.5% +6.7 0.204
70–79% 356 74.8% 80.6% +5.9 0.158
80–89% 157 84.1% 88.5% +4.4 0.101
90–99% 17 91.6% 94.1% +2.5 0.057

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 2,686 70.7% 22.2 points
Medium 49 87.8% 23.3 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 1,516 62.3% 22.9 points
Close Game 2,217 63.5% 22.1 points
Upset Possible 2,064 62.4% 21.9 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
Oct 16, 2026 Springfield Northwestern vs. Benjamin Logan 15–25 0–78 68.5 points
Oct 16, 2026 Trimble vs. Waterford 21–24 0–69 65.9 points
Sep 18, 2026 Trotwood-Madison vs. Taft 23–17 72–0 65.6 points

Evaluated games

The game-level record behind the summary above.

Aug 21, 2026

Springboro vs. Mason

Correct
Projected
22–21
Final
33–0
Projected winner
Springboro
Margin error
32.3

Aug 21, 2026

Perrysburg vs. Bowling Green

Correct
Projected
24–19
Final
42–0
Projected winner
Perrysburg
Margin error
36.7

Aug 21, 2026

Northmont vs. Lebanon

Correct
Projected
13–25
Final
17–38
Projected winner
Lebanon
Margin error
8.3

Aug 21, 2026

Middletown vs. Elder

Correct
Projected
22–25
Final
3–35
Projected winner
Elder
Margin error
28.1

Aug 21, 2026

Miamisburg vs. Chaminade Julienne

Missed
Projected
15–22
Final
44–14
Projected winner
Chaminade Julienne
Margin error
36.0

Aug 21, 2026

Marysville vs. Westerville North

Missed
Projected
22–17
Final
9–31
Projected winner
Marysville
Margin error
27.0

Aug 21, 2026

Dublin Jerome vs. Westerville South

Missed
Projected
22–20
Final
13–20
Projected winner
Dublin Jerome
Margin error
9.4

Aug 21, 2026

Dublin Coffman vs. Bishop Hartley

Missed
Projected
17–24
Final
51–27
Projected winner
Bishop Hartley
Margin error
31.2

Aug 21, 2026

Delaware Hayes vs. Buckeye Valley

Correct
Projected
23–21
Final
21–7
Projected winner
Delaware Hayes
Margin error
12.9

Aug 21, 2026

Centerville vs. Lakota East

Correct
Projected
16–28
Final
14–41
Projected winner
Lakota East
Margin error
15.0

Aug 21, 2026

Strongsville vs. Avon Lake

Missed
Projected
22–23
Final
24–22
Projected winner
Avon Lake
Margin error
2.1

Aug 21, 2026

Stow-Munroe Falls vs. Aurora

Correct
Projected
18–25
Final
34–36
Projected winner
Aurora
Margin error
4.7

Aug 21, 2026

Lakewood St. Edward vs. Olentangy Liberty

Correct
Projected
28–19
Final
15–12
Projected winner
Lakewood St. Edward
Margin error
6.0

Aug 21, 2026

Solon vs. Kenston

Correct
Projected
15–26
Final
9–26
Projected winner
Kenston
Margin error
5.9

Aug 21, 2026

Shaker Heights vs. Geneva

Missed
Projected
15–29
Final
28–21
Projected winner
Geneva
Margin error
21.1

Aug 21, 2026

Mentor vs. Olmsted Falls

Correct
Projected
29–20
Final
38–17
Projected winner
Mentor
Margin error
11.3

Aug 21, 2026

Medina vs. Findlay

Correct
Projected
20–23
Final
7–27
Projected winner
Findlay
Margin error
17.1

Aug 21, 2026

Lorain vs. Maple Heights

Correct
Projected
21–23
Final
28–48
Projected winner
Maple Heights
Margin error
18.9

Aug 21, 2026

GlenOak vs. Dover

Correct
Projected
14–26
Final
21–36
Projected winner
Dover
Margin error
2.7

Aug 21, 2026

Euclid vs. Brush

Missed
Projected
18–22
Final
14–6
Projected winner
Brush
Margin error
11.4

Aug 21, 2026

Elyria vs. Mayfield

Correct
Projected
16–20
Final
10–55
Projected winner
Mayfield
Margin error
40.7

Aug 21, 2026

Cleveland Heights vs. Wadsworth

Correct
Projected
21–26
Final
6–28
Projected winner
Wadsworth
Margin error
16.3

Aug 21, 2026

Canton McKinley vs. Warren G. Harding

Correct
Projected
24–20
Final
33–0
Projected winner
Canton McKinley
Margin error
28.4

Aug 21, 2026

Berea-Midpark vs. Brunswick

Missed
Projected
26–16
Final
42–47
Projected winner
Berea-Midpark
Margin error
15.6

Aug 20, 2026

Cardinal vs. LaBrae

Correct
Projected
18–20
Final
0–49
Projected winner
LaBrae
Margin error
46.8

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.