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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

Van Buren vs. Ridgemont

Correct
Projected
23–17
Final
42–6
Projected winner
Van Buren
Margin error
29.4

Oct 2, 2026

Tinora vs. Antwerp

Missed
Projected
21–23
Final
34–14
Projected winner
Antwerp
Margin error
21.5

Oct 2, 2026

Riverdale vs. Arlington

Correct
Projected
17–18
Final
13–40
Projected winner
Arlington
Margin error
25.9

Oct 2, 2026

Ottawa Hills vs. Woodmore

Correct
Projected
15–29
Final
7–33
Projected winner
Woodmore
Margin error
12.7

Oct 2, 2026

Margaretta vs. Northwood

Missed
Projected
22–24
Final
45–14
Projected winner
Northwood
Margin error
34.0

Oct 2, 2026

Hicksville vs. Wayne Trace

Correct
Projected
13–25
Final
0–49
Projected winner
Wayne Trace
Margin error
36.8

Oct 2, 2026

Fairview vs. Paulding

Missed
Projected
27–21
Final
26–35
Projected winner
Fairview
Margin error
14.1

Oct 2, 2026

Evergreen vs. Liberty Center

Correct
Projected
11–31
Final
0–62
Projected winner
Liberty Center
Margin error
42.2

Oct 2, 2026

Delta vs. Patrick Henry

Missed
Projected
28–20
Final
7–26
Projected winner
Delta
Margin error
26.3

Oct 2, 2026

Ashland Crestview vs. Norwalk St. Paul

Correct
Projected
17–18
Final
0–45
Projected winner
Norwalk St. Paul
Margin error
43.7

Oct 2, 2026

Columbus Grove vs. Allen East

Correct
Projected
25–24
Final
33–18
Projected winner
Columbus Grove
Margin error
15.0

Oct 2, 2026

Carey vs. Seneca East

Missed
Projected
22–26
Final
8–7
Projected winner
Seneca East
Margin error
4.4

Oct 2, 2026

Bluffton vs. Lima Central Catholic

Missed
Projected
27–24
Final
21–26
Projected winner
Bluffton
Margin error
7.7

Oct 2, 2026

Wickliffe vs. Cuyahoga Heights

Missed
Projected
27–20
Final
14–31
Projected winner
Wickliffe
Margin error
23.6

Oct 2, 2026

Trinity vs. Fairport Harding

Correct
Projected
19–16
Final
30–20
Projected winner
Trinity
Margin error
7.4

Oct 2, 2026

NM Springfield vs. Jackson-Milton

Correct
Projected
24–16
Final
47–0
Projected winner
NM Springfield
Margin error
39.0

Oct 2, 2026

Rittman vs. Smithville

Correct
Projected
17–27
Final
0–41
Projected winner
Smithville
Margin error
30.6

Oct 2, 2026

Norwayne vs. Dalton

Correct
Projected
24–22
Final
23–18
Projected winner
Norwayne
Margin error
3.6

Oct 2, 2026

Mogadore vs. Pymatuning Valley

Correct
Projected
23–22
Final
38–7
Projected winner
Mogadore
Margin error
30.1

Oct 2, 2026

Mineral Ridge vs. Lowellville

Correct
Projected
27–21
Final
53–20
Projected winner
Mineral Ridge
Margin error
27.6

Oct 2, 2026

Campbell Memorial vs. BC Western Reserve

Missed
Projected
20–21
Final
26–14
Projected winner
BC Western Reserve
Margin error
13.0

Oct 2, 2026

East Palestine vs. Hanoverton United

Correct
Projected
21–24
Final
8–50
Projected winner
Hanoverton United
Margin error
38.3

Oct 2, 2026

East Canton vs. Buckeye Trail

Correct
Projected
25–13
Final
34–0
Projected winner
East Canton
Margin error
22.9

Oct 2, 2026

Columbiana vs. Valley Christian

Correct
Projected
26–14
Final
41–7
Projected winner
Columbiana
Margin error
22.5

Oct 2, 2026

Cardinal vs. Mathews

Correct
Projected
15–21
Final
0–49
Projected winner
Mathews
Margin error
43.5

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.