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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

John Hay vs. Scott

Correct
Projected
18–17
Final
35–22
Projected winner
John Hay
Margin error
12.0

Sep 4, 2026

Brush vs. Willoughby South

Correct
Projected
18–27
Final
21–45
Projected winner
Willoughby South
Margin error
14.3

Sep 4, 2026

Boardman vs. Youngstown Liberty

Correct
Projected
15–29
Final
14–27
Projected winner
Youngstown Liberty
Margin error
0.6

Sep 4, 2026

Benedictine vs. Lutheran West

Correct
Projected
21–18
Final
41–0
Projected winner
Benedictine
Margin error
37.6

Sep 4, 2026

Bedford vs. Padua Franciscan

Missed
Projected
21–19
Final
6–35
Projected winner
Bedford
Margin error
31.3

Sep 4, 2026

Austintown-Fitch vs. Painesville Riverside

Missed
Projected
18–24
Final
42–10
Projected winner
Painesville Riverside
Margin error
37.8

Sep 4, 2026

Western Hills vs. Cincinnati Country Day

Missed
Projected
17–22
Final
66–48
Projected winner
Cincinnati Country Day
Margin error
22.5

Sep 4, 2026

Walnut Hills vs. Turpin

Missed
Projected
19–18
Final
19–43
Projected winner
Walnut Hills
Margin error
25.1

Sep 4, 2026

St. Xavier vs. Cathedral

Missed
Projected
24–23
Final
21–30
Projected winner
St. Xavier
Margin error
9.5

Sep 4, 2026

Milford vs. Winton Woods

Correct
Projected
21–24
Final
28–50
Projected winner
Winton Woods
Margin error
18.8

Sep 4, 2026

Lebanon vs. West Clermont

Correct
Projected
22–21
Final
34–20
Projected winner
Lebanon
Margin error
13.6

Sep 4, 2026

Lakota West vs. Mason

Correct
Projected
23–21
Final
35–10
Projected winner
Lakota West
Margin error
22.6

Sep 4, 2026

Lakota East vs. Oak Hills

Missed
Projected
21–23
Final
31–28
Projected winner
Oak Hills
Margin error
5.8

Sep 4, 2026

Hamilton vs. Sycamore

Missed
Projected
18–19
Final
31–21
Projected winner
Sycamore
Margin error
11.5

Sep 4, 2026

Elder vs. East Central

Correct
Projected
27–24
Final
42–7
Projected winner
Elder
Margin error
31.7

Sep 4, 2026

Colerain vs. Princeton

Correct
Projected
20–24
Final
6–49
Projected winner
Princeton
Margin error
39.4

Sep 4, 2026

Moeller vs. Trinity

Missed
Projected
25–24
Final
14–31
Projected winner
Moeller
Margin error
18.0

Sep 4, 2026

Westerville Central vs. Westerville North

Missed
Projected
23–20
Final
6–14
Projected winner
Westerville Central
Margin error
10.7

Sep 4, 2026

Upper Arlington vs. Avon

Correct
Projected
24–19
Final
43–22
Projected winner
Upper Arlington
Margin error
15.9

Sep 4, 2026

Reynoldsburg vs. Big Walnut

Missed
Projected
23–21
Final
7–44
Projected winner
Reynoldsburg
Margin error
39.5

Sep 4, 2026

Pickerington Central vs. Pickerington North

Correct
Projected
18–24
Final
0–27
Projected winner
Pickerington North
Margin error
20.5

Sep 4, 2026

Olentangy Orange vs. Olentangy

Missed
Projected
20–21
Final
28–7
Projected winner
Olentangy
Margin error
21.5

Sep 4, 2026

Newark vs. Zanesville

Missed
Projected
23–20
Final
14–32
Projected winner
Newark
Margin error
21.6

Sep 4, 2026

New Albany vs. Dublin Scioto

Missed
Projected
18–24
Final
56–7
Projected winner
Dublin Scioto
Margin error
54.3

Sep 4, 2026

Hilliard Darby vs. Walnut Ridge

Correct
Projected
24–17
Final
34–0
Projected winner
Hilliard Darby
Margin error
27.4

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.