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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.

Oct 2, 2026

Groveport-Madison vs. Reynoldsburg

Missed
Projected
23–21
Final
7–26
Projected winner
Groveport-Madison
Margin error
21.2

Oct 2, 2026

Grove City vs. Westerville Central

Missed
Projected
27–15
Final
35–41
Projected winner
Grove City
Margin error
18.1

Oct 2, 2026

Central Crossing vs. Pickerington North

Correct
Projected
13–30
Final
7–42
Projected winner
Pickerington North
Margin error
18.2

Oct 2, 2026

Gahanna Lincoln vs. New Albany

Missed
Projected
24–25
Final
35–3
Projected winner
New Albany
Margin error
32.4

Oct 2, 2026

Whitmer vs. Northview

Correct
Projected
28–13
Final
56–7
Projected winner
Whitmer
Margin error
34.4

Oct 2, 2026

Start vs. Lima Senior

Correct
Projected
16–27
Final
12–43
Projected winner
Lima Senior
Margin error
20.2

Oct 2, 2026

Springfield vs. Wayne

Missed
Projected
18–25
Final
43–12
Projected winner
Wayne
Margin error
37.8

Oct 2, 2026

Olentangy Liberty vs. Upper Arlington

Missed
Projected
19–27
Final
13–12
Projected winner
Upper Arlington
Margin error
8.5

Oct 2, 2026

Middletown vs. Lakota West

Correct
Projected
20–27
Final
0–35
Projected winner
Lakota West
Margin error
28.8

Oct 2, 2026

Marysville vs. Olentangy

Correct
Projected
17–21
Final
8–31
Projected winner
Olentangy
Margin error
19.2

Oct 2, 2026

Fairmont vs. Northmont

Missed
Projected
19–20
Final
27–0
Projected winner
Northmont
Margin error
28.5

Oct 2, 2026

Findlay vs. Perrysburg

Correct
Projected
23–27
Final
6–31
Projected winner
Perrysburg
Margin error
21.1

Oct 2, 2026

Dublin Jerome vs. Hilliard Darby

Missed
Projected
23–20
Final
20–25
Projected winner
Dublin Jerome
Margin error
7.9

Oct 2, 2026

Dublin Coffman vs. Olentangy Orange

Correct
Projected
20–21
Final
12–28
Projected winner
Olentangy Orange
Margin error
15.5

Oct 2, 2026

Delaware Hayes vs. Westerville South

Missed
Projected
22–18
Final
21–28
Projected winner
Delaware Hayes
Margin error
10.9

Oct 2, 2026

Centerville vs. Miamisburg

Missed
Projected
13–26
Final
35–0
Projected winner
Miamisburg
Margin error
47.8

Oct 2, 2026

Beavercreek vs. Springboro

Missed
Projected
23–22
Final
17–21
Projected winner
Beavercreek
Margin error
5.0

Oct 2, 2026

Stow-Munroe Falls vs. Wadsworth

Correct
Projected
22–23
Final
14–35
Projected winner
Wadsworth
Margin error
20.3

Oct 2, 2026

Lakewood St. Edward vs. St. Ignatius

Missed
Projected
22–26
Final
31–14
Projected winner
St. Ignatius
Margin error
21.7

Oct 2, 2026

Solon vs. Nordonia

Correct
Projected
17–27
Final
14–44
Projected winner
Nordonia
Margin error
19.4

Oct 2, 2026

Mentor vs. Strongsville

Missed
Projected
25–21
Final
30–56
Projected winner
Mentor
Margin error
29.7

Oct 2, 2026

Medina vs. Hudson

Correct
Projected
16–28
Final
7–41
Projected winner
Hudson
Margin error
22.4

Oct 2, 2026

Lorain vs. Shaker Heights

Correct
Projected
21–15
Final
35–0
Projected winner
Lorain
Margin error
29.3

Oct 2, 2026

Massillon Jackson vs. Uniontown Lake

Correct
Projected
28–18
Final
37–20
Projected winner
Massillon Jackson
Margin error
6.6

Oct 2, 2026

GlenOak vs. Uniontown Green

Correct
Projected
20–21
Final
14–45
Projected winner
Uniontown Green
Margin error
30.5

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.