2019 · Week 2

Final

Seahawks

Seattle

QB Russell Wilson

28·26

Steelers

Pittsburgh

QB Ben Roethlisberger

Heinz Field · outdoors · grass · 81°F · wind 3mph

Closing spread

PIT -4

Total

47

Model margin

+2.4est.

PIT perspective

Push chance

2.5%est.

the line sits on a key number

Win probability

  • Steelers
  • Seahawks

How each play moved the game.

Steelers winsSeahawks wins

Matchup

Where the edges are

Season-long league percentiles for both sides, mirrored. The saturated side of a lopsided row holds the edge.

Seahawksedge mapSteelers
  • +0.018EPA / play-0.136
  • 45.5%Success rate38.5%
  • +0.119EPA / dropback-0.061
  • -0.134EPA / rush-0.257
  • 9.6%Explosive rate7.4%
  • +7.05CPOE-1.51
  • 39.1%Third-down rate34.3%
  • 65.9%Red-zone TD rate50.2%
  • 1.86Points / drive1.35
  • 1.8%Turnover rate3.1%

Bar length is league percentile, already oriented so longer is better. The saturated side of a lopsided row holds the edge; rows within ~12 points are washed as even.

The rivalry

All square 5–5 since 1999

Meetings average 42.1 points. PIT are 4-6 ATS in the series.

Previous meetings
SeasonMatchupScoreWinner
2025 · W2SEA @ PIT3117SEA
2023 · W17PIT @ SEA3023PIT
2021 · W6SEA @ PIT2023PIT
2015 · W12PIT @ SEA3039SEA
2011 · W2SEA @ PIT024PIT
2007 · W5SEA @ PIT021PIT
2005 · playoffsSEA @ PIT1021PIT
2003 · W9PIT @ SEA1623SEA

Box score

Individual performances

Seahawks

Passing

PlayerC/AttYdsTDINT
Russell Wilson29/3530030

Rushing

PlayerCarYdsAvgTD
Rashaad Penny10626.21
Chris Carson15604.00
Russell Wilson6223.70
C.J. Prosise273.50

Receiving

PlayerRecTgtYdsTD
Tyler Lockett1012790
DK Metcalf37611
Malik Turner33540
Will Dissly55502
Chris Carson33270
C.J. Prosise33130
Nick Vannett11130
Rashaad Penny1130

Steelers

Passing

PlayerC/AttYdsTDINT
Mason Rudolph12/1911221
Ben Roethlisberger8/157500

Rushing

PlayerCarYdsAvgTD
James Conner11333.01
Benny Snell12323.00
Jaylen Samuels3186.00
Mason Rudolph177.00

Where this game is likely to land

  • Model
  • Smooth (normal)
  • Betting line

Probability of each final margin. Football scoring clusters — the spikes at 3 and 7 are real, and a smooth model misses them.

line +44.0%2.7%7.0%7.5%3.1%4.7%3.0%2.6%

Positive margins favour Steelers; negative favour Seahawks.

Half-point at risk

2.53%

outcomes that flip if the line moves 0.5

Model home win

55.6%

Expected total

43.1est.

Model

Where the number comes from

Each component is additive, in points of expected margin.

  • Team ratings (opponent-adjusted EPA)+0.05
  • Home-field advantage+1.74
  • Quarterback adjustment+0.63
  • Rest differential0.00
  • Expected margin+2.42