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 Aug 29, 2026

Accuracy calculated Aug 31, 2026 9:52 AM EDT

Reset

Performance summary

351 games evaluated with ospr-2026.1

Games evaluated

351

Winner accuracy

61.0%

214 correct

Average margin error

23.3

Lower is better

Average score error

13.4

Per-team points

Brier score

0.229

Probability accuracy

Close projection rate

10.8%

Correct and within 7

Regular season vs. playoffs

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

Regular season

Games
351
Winner accuracy
61.0%
Margin error
23.3

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 2 351 61.0% 23.3

Probability calibration

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

Probability Games Predicted Observed Gap Brier
10–19% 13 17.5% 23.1% +5.6 0.191
20–29% 32 26.6% 25.0% -1.6 0.190
30–39% 53 35.0% 37.7% +2.7 0.230
40–49% 96 45.6% 49.0% +3.3 0.249
50–59% 54 55.1% 51.9% -3.2 0.256
60–69% 51 65.0% 62.7% -2.2 0.232
70–79% 45 74.6% 73.3% -1.2 0.192
80–89% 7 82.9% 71.4% -11.4 0.213

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 252 55.6% 22.8 points
Medium 21 76.2% 21.5 points
Low 78 74.4% 25.2 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 351 61.0% 23.3 points
Close Game 273 57.5% 23.1 points
Upset Possible 253 55.7% 22.8 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
Aug 29, 2026 Warrensville Heights vs. Cleveland JFK 18–20 57–0 59.2 points
Aug 28, 2026 West Clermont vs. Anderson 24–17 19–70 58.8 points
Aug 28, 2026 Ross vs. Thurgood Marshall 19–20 57–0 57.4 points
Aug 29, 2026 John Marshall vs. Rocky River 17–24 0–63 56.8 points
Aug 28, 2026 Wayne Trace vs. Spencerville 18–19 55–0 56.2 points

Evaluated games

The game-level record behind the summary above.

Aug 27, 2026

Perkins vs. Scott

Correct
Projected
24–16
Final
58–6
Projected winner
Perkins
Margin error
43.8

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.