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Pittsburgh Steelers at Cleveland Browns

Thursday Night · Thu, Oct 1, 8:15 PM ETPIT @ CLE
Pittsburgh Steelers

Away

Pittsburgh Steelers

2-1

Cleveland Browns

Home

Cleveland Browns

2-1

Model Win Probability

Pittsburgh Steelers · Away

61%

Model
separation22%

Cleveland Browns · Home

39%

Signal: Lean· components agree · 100% feature coverage
Elo component
63% PIT
Efficiency component
66% PIT
Feature coverage
100%
Data cutoff
2026-09-29T03:18:28.737160Z
Model
pt-nfl-ensemble-v0.3

Signal strength describes model agreement and data quality, not certainty or wagering value.

Team Efficiency Comparison

35
0
Offense
19
3
Passing
77
13
Rushing
52
84
Defense
84
94
Pass Rush
26
4
Situational

0–100 league percentile across all 32 teams. Defensive ratings are inverted so a higher number always means a better unit.

Blended Team Metrics

PITMetricCLE
-0.041EPA / Play-0.152
42.5%Success Rate36.6%
-0.032Dropback EPA-0.131
-0.040Rush EPA-0.175
11.5%Explosive Play Rate9.2%
40.2%3rd Down Conversion34.9%
50.8%Red Zone TD Rate47.5%
0.007Def. EPA / Play Allowed-0.059

Prior-season form is blended with current-season play and its weight decays as the current sample grows. Metrics without enough data are shown as “—”, never as zero.

Game Context

Venue
Huntington Bank Field
Kickoff
Thu, Oct 1, 8:15 PM ET
Roof
outdoors
Surface
grass
Away rest
4 days
Home rest
4 days
Site
Cleveland Browns home game

Player Impact

Aaron Rodgers

QB

2026 Weeks 1, 2, 3

CMP/ATT
66/113
Pass yds
700
Pass TD
4
INT
2
Y/A
6.2
Sacks
8

Jaylen Warren

RB

2026 Weeks 1, 2, 3

Carries
38
Rush yds
216
YPC
5.7
Rush TD
0
Targets
14
Rec
10
Rush share
56.7%

Rico Dowdle

RB

2026 Weeks 1, 2

Carries
15
Rush yds
37
YPC
2.5
Rush TD
0
Targets
7
Rec
4
Rush share
22.4%

DK Metcalf

WR

2026 Weeks 1, 2, 3

Targets
24
Rec
11
Rec yds
98
YPR
8.9
Rec TD
1
Target share
22.9%

Roman Wilson

WR

2026 Weeks 1, 2, 3

Targets
18
Rec
11
Rec yds
114
YPR
10.4
Rec TD
1
Target share
17.1%

Scoring by Quarter

Sample · 3 games

Away · Pittsburgh Steelers

Q1
17
Q2
16
Q3
7
Q4
13

Home · Cleveland Browns

Q1
3
Q2
13
Q3
13
Q4
25

Small sample — treat quarter splits as descriptive context, not a trend.

Latest News

Analytical Angles

Passing profile · PIT

passing

Pittsburgh Steelers ranks in the 19th league percentile in blended dropback EPA entering Week 4.

Defense profile · PIT

efficiency

Pittsburgh Steelers ranks in the 52th league percentile in blended defensive EPA allowed; higher percentile means less EPA conceded.

Passing profile · CLE

passing

Cleveland Browns ranks in the 3th league percentile in blended dropback EPA entering Week 4.

Defense profile · CLE

efficiency

Cleveland Browns ranks in the 84th league percentile in blended defensive EPA allowed; higher percentile means less EPA conceded.

Statistical context only. Picks Terminal publishes matchup analysis, not wagering advice.

Keys to the Game

  • Margin-aware Elo favors Pittsburgh Steelers at 62.9%.
  • Rolling efficiency favors Pittsburgh Steelers at 66.3%.
  • The calibrated estimate is 61%; it is a probability, not a certainty.

What Could Flip It

  • The statistical sample includes 3 current-season games for Pittsburgh Steelers and 3 for Cleveland Browns; prior-season form is still blended in.
  • The components agree, but a single game still has substantial variance.
  • The first official Week 4 practice/game-status report was unavailable at this cutoff; documented quarterback news is listed separately and is not explicitly priced into this statistical model.

Model Analysis

Pittsburgh Steelers at Cleveland Browns: the v0.3 ensemble places Pittsburgh Steelers at 61% after a 70% margin-aware Elo and 30% rolling efficiency blend with strictly out-of-fold calibration. The statistical sample includes 3 current-season games for Pittsburgh Steelers and 3 for Cleveland Browns; prior-season form is still blended in. No odds, moneylines, spreads, public picks or market consensus are model inputs.

Forecast

Model pick: Pittsburgh Steelers (61%). Signal: Lean; model agreement and coverage, not wagering value.

Sources & Methodology

Win probability: pt-nfl-ensemble-v0.3 — a deterministic ensemble of a margin-aware Elo component and a regularized efficiency component built from pregame team differentials (EPA per play, dropback and rush EPA, success rate, explosive rate, sack performance, home field and rest). The blended probability is calibrated on training seasons only and validated by walk-forward backtest against completed results. All inputs come from public play-by-play and schedule data. No external market data of any kind is used anywhere on this page.