Borussia Dortmund 3:0 SV Werder Bremen: xG & match report · Bundesliga

Tuesday, 13/01/2026 at 20:30

Full time

Match report · Bundesliga

Borussia Dortmund Home 2.42 xG · 18 shots

SV Werder Bremen Away 0.52 xG · 6 shots

30 The scoreline reflected the chances

Goals

11' Nico Schlotterbeck Borussia Dortmund · 0.87 xG chance 1–0
75' Marcel Sabitzer Borussia Dortmund · 0.11 xG chance 2–0
83' Serhou Guirassy Borussia Dortmund · 0.51 xG chance 3–0

The shots behind it

Borussia Dortmund SV Werder Bremen

Shots: 18; 6
On target: 8; 3
Inside the box: 14; 3
xG per shot: 0.14; 0.08
Open play xG: 1.55; 0.41
Set-piece xG: 0.94; 0.09
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: 2.44 for Borussia Dortmund and 0.52 for SV Werder Bremen.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

24 shots · 2.99 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Borussia Dortmund

1.66 xG created 1.15 xGA

D 2.99 created, 1.55 conceded against VfB Stuttgart
W 0.99 created, 0.82 conceded against Bayer 04 Leverkusen
W 1.26 created, 1.14 conceded against TSG Hoffenheim
D 0.93 created, 1.50 conceded against SC Freiburg
W 1.43 created, 0.28 conceded against Borussia M'gladbach
D 2.38 created, 1.58 conceded against Eintracht Frankfurt

SV Werder Bremen

0.94 xG created 1.35 xGA

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
L 0.91 created, 2.17 conceded against VfB Stuttgart
D 0.60 created, 1.03 conceded against FC Augsburg

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.