Mort's Report — Sports Data Analytics
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Pittsburgh Steelers

AFC North

Pittsburgh Steelers

10-7 in 2025 · 397–387 (+10)

Rating · rank
1518
#11 of 32
2025 final Elo
1523
Offseason move
-5
Model on their games
6-11
Avg win probability
51%

Next up

Week 1 · 2026

Sun, 1:00 PM EST · CBS

Cleveland Browns
vs
Cleveland Browns
Acrisure Stadium, Pittsburgh
Model win probability
59%
Lean · -2.5
See the full calculation →

2026 season projection

Full league forecast →

From 10,000 simulated seasons, with results so far treated as certain.

Projected record
10.5–7.5
8–13 wins typical
Playoffs
71%
30% to win the division
Super Bowl
6%
11% for the #1 seed
Remaining SoS
1498
1% top-5 pick

Why PIT rates here

The 2026 starting rating is a weighted blend of measured 2025 inputs, then offseason regression, then any hand-set roster adjustment.

InputRatingWeightContribution
Elo from results
10-7 in 2025, opponent-adjusted
152380%1218.6
Scoring strength
397–387 points (+10.0 differential) → 51.5% expected win rate
15115%75.5
Late-season form
same replay with the closing 6 weeks counted double
153515%230.3
Offense / defense split
23.4 PPG scored, 22.8 allowed → offense 1509, defense 1506
15150%0.0
Blended 2025 rating1524.4
Offseason regression
25% back toward the 1500 league mean
1518.3
Roster / QB adjustment
No offseason adjustment applied.
0.0
PIT 2026 starting rating1518

2026 team statistics

Reference only — never feeds the predictions. Through 0 games, these ranks move substantially week to week.

Loading stats…

Schedule they played

Who PIT actually faced in 2025, measured by those opponents' current ratings. Context only — it is not an input to the prediction, because beating good teams already moves Elo more.

1506

average opponent rating · 10th toughest of 32

vs above-average teams
4-4
vs below-average teams
6-3

Toughest faced

Easiest faced

Rating through 2025

1500 → 1526

2025 season log

Win probability is what the model would have given PIT before kickoff, using both teams' ratings at that point in the season.

WkOpponentResultPregame win probPickElo
1W34–32
46%
✕+16.7
2L17–31
59%
✕-45.9
3W21–14
42%
✕+34.4
4W24–21
47%
✕+20.8
6W23–9
70%
✓+25.5
7L31–33
73%
✕-20.8
8L25–35
47%
✓-32.8
9W27–20
30%
✕+37.5
10L10–25
44%
✓-34.6
11W34–12
67%
✓+32.2
12L28–31
47%
✓-17.2
13L7–26
48%
✓-42.7
14W27–22
42%
✕+30.4
15W28–15
48%
✕+40.8
16W29–24
43%
✕+26.1
17L6–13
68%
✕-40.9
18W26–24
49%
✕+15.7
Model on 17 games6-11(35%)avg 51%+45.3