SV Werder Bremen 0:4 VfB Stuttgart: xG & match report · Bundesliga

Sunday, 14/12/2025 at 19:30

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Match report · Bundesliga

SV Werder Bremen Home 0.91 xG · 9 shots

VfB Stuttgart Away 2.17 xG · 24 shots

04 The scoreline reflected the chances

Goals

40' Bilal El Khannouss VfB Stuttgart · 0.13 xG chance 0–1
44' Jamie Leweling VfB Stuttgart · 0.03 xG chance 0–2
79' Deniz Undav VfB Stuttgart · 0.20 xG chance 0–3
90' Chris Führich VfB Stuttgart · 0.14 xG chance 0–4

The shots behind it

SV Werder Bremen VfB Stuttgart

Shots: 9; 24
On target: 3; 12
Inside the box: 6; 18
xG per shot: 0.10; 0.09
Open play xG: 0.54; 1.47
Set-piece xG: 0.35; 0.69
Penalties: —; —

Shot-level xG may differ from the published match total

The provider publishes the match total separately from its shot-by-shot values. Those values are rounded to two decimals and, leaving out penalties and own goals, add up to its non-penalty xG: 0.89 for SV Werder Bremen and 2.17 for VfB Stuttgart.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

33 shots · 3.05 xG

Hover, focus or tap a shot to read it.

SV Werder Bremen
VfB Stuttgart
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

SV Werder Bremen

1.02 xG created 1.15 xGA

W 0.95 created, 0.58 conceded against 1. FC Union Berlin
D 1.04 created, 1.42 conceded against 1. FSV Mainz 05
W 1.45 created, 0.57 conceded against VfL Wolfsburg
L 0.80 created, 2.10 conceded against RB Leipzig
D 1.17 created, 0.94 conceded against 1. FC Köln
L 0.71 created, 1.31 conceded against Hamburger SV

VfB Stuttgart

1.49 xG created 2.16 xGA

W 1.94 created, 1.45 conceded against 1. FSV Mainz 05
L 1.49 created, 2.09 conceded against RB Leipzig
W 2.35 created, 1.93 conceded against FC Augsburg
D 1.55 created, 2.99 conceded against Borussia Dortmund
L 0.75 created, 0.98 conceded against Hamburger SV
L 0.88 created, 3.54 conceded against FC Bayern München

xG created xG conceded (xGA) W / D / L: the match result

Model details

Show

The model never priced this match before kick-off, so there is no projection to read the result against.

Limitations

The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.