Browns @ Steelers: Result, Lines & ATS Trends (Week 2, 2023)

Mon, Sep 18, 2023, 8:15 PM EDTWeek 2 · at Pittsburgh Steelers · Division game

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Cleveland Browns

1-0 · Power #8

final

Final

Pittsburgh Steelers

0-1 · Power #19

▲ winner

Closing spread

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Total

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Model before kickoff

CLE 25–12 PIT

✗ CLE (90%) lost

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ATS

Records before kickoff

	Season	Cover	Venue	Role
CLE –	0-0	—	—	—
PIT –	0-0	—	—	—

Venue/role: CLE away; PIT home. Squares: last 5 games ATS (W covered, L didn’t), oldest first.

Totals

Over/under before kickoff

	O-U	Over %	SU
CLE –	0-0	—	1-0
PIT –	0-0	—	0-1

Squares: last 5 games (O over, U under), oldest first. Hover for the score and line.

Last 10 games

Before kickoff, this and last season

	Straight up	Spread	Over / under
CLElast 1	1-0 100%	0-0 —	0-0 —
PITlast 1	0-1 0%	0-0 —	0-0 —

Wins-losses (pushes and ties last). Spread and over / under skip games without a line.

Recent meetings

The series

CLE 14–42 PIT (1 tied) PIT leads · 57 games since 1999 · CLE has won the last 2 meetings

All-time series from nflverse.

Matchup stats

Season to date before kickoff · ranks among 32 teams

CLE

Longer bar = better

PIT

#21

Offense

◀ CLE better

#30

Defense

◀ CLE better

#25

−2.0 #28

Turnovers

PIT better ▶

−1.0 #23

72 plays #4

Pace

◀ CLE faster

61 plays #22

Unit by unitEach offense against the other's defense

When CLE has the ball

Even matchup

	CLE off	PIT def	Edge
Points / game	24.0 #16	30.0 #28	CLE
Yards / play	4.86 #22	5.92 #29	CLE
EPA / play	−0.14 #24	+0.16 #28	Even
Success rate	41% #22	43% #15	PIT

When PIT has the ball

Advantage: CLE defense

	PIT off	CLE def	Edge
Points / game	7.0 #32	3.0 #1	CLE
Yards / play	3.92 #31	2.63 #1	CLE
EPA / play	−0.34 #32	−0.47 #2	CLE
Success rate	40% #24	21% #1	CLE

Bars show league standing (dashed mark = league middle); Offense and Defense use the average rank across the four stats below. In the tables, a highlighted value and the Edge column mark the side ranked better by at least 15% of the league; defense values are what that team allows. Yards and turnovers from ESPN box scores; EPA from nflverse play-by-play. Descriptive only: the model already uses these.