Hamburger SV 1:1 Borussia Dortmund: xG & match report · Bundesliga

Saturday, 08/11/2025 at 15:30

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Match report · Bundesliga

Hamburger SV Home 0.57 xG · 9 shots

Borussia Dortmund Away 1.03 xG · 17 shots

11 Borussia Dortmund had the better chances, but it finished level

Goals

64' Carney Chukwuemeka Borussia Dortmund · 0.09 xG chance 0–1
90' Ransford Yeboah Königsdörffer Hamburger SV · 0.06 xG chance 1–1

The shots behind it

Hamburger SV Borussia Dortmund

Shots: 9; 17
On target: 3; 1
Inside the box: 8; 9
xG per shot: 0.07; 0.06
Open play xG: 0.54; 0.61
Set-piece xG: 0.06; 0.41
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: 0.60 for Hamburger SV and 1.03 for Borussia Dortmund.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

26 shots · 1.62 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Hamburger SV

1.79 xG created 1.70 xGA

W 2.35 created, 2.98 conceded against 1. FC Heidenheim
D 1.08 created, 1.37 conceded against 1. FC Union Berlin
W 1.91 created, 0.67 conceded against 1. FSV Mainz 05
L 1.53 created, 1.06 conceded against RB Leipzig
L 2.77 created, 0.37 conceded against VfL Wolfsburg
L 1.09 created, 3.72 conceded against 1. FC Köln

Borussia Dortmund

1.21 xG created 1.01 xGA

W 1.10 created, 0.80 conceded against VfL Wolfsburg
W 1.44 created, 0.48 conceded against 1. FSV Mainz 05
D 0.89 created, 1.09 conceded against RB Leipzig
L 1.58 created, 2.48 conceded against FC Bayern München
W 1.90 created, 0.39 conceded against 1. FC Köln
W 0.32 created, 0.83 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.