Hamburger SV 1:1 FC Augsburg: xG & match report · Bundesliga

Saturday, 04/04/2026 at 15:30

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Match report · Bundesliga

Hamburger SV Home 1.59 xG · 18 shots

FC Augsburg Away 2.29 xG · 18 shots

11 FC Augsburg had the better chances, but it finished level

Goals

22' Arthur Chaves FC Augsburg · 0.71 xG chance 0–1
60' Ransford Yeboah Königsdörffer Hamburger SV · 0.06 xG chance 1–1

The shots behind it

Hamburger SV FC Augsburg

Shots: 18; 18
On target: 4; 3
Inside the box: 12; 15
xG per shot: 0.09; 0.13
Open play xG: 1.19; 1.44
Set-piece xG: 0.40; 0.88
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: 2.29 for FC Augsburg.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

36 shots · 3.91 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Hamburger SV

1.02 xG created 2.57 xGA

D 0.70 created, 1.53 conceded against 1. FSV Mainz 05
L 0.55 created, 2.70 conceded against RB Leipzig
L 1.27 created, 1.93 conceded against Bayer 04 Leverkusen
W 1.82 created, 1.84 conceded against VfL Wolfsburg
D 0.32 created, 1.22 conceded against 1. FC Köln
L 1.47 created, 6.20 conceded against Borussia Dortmund

FC Augsburg

1.69 xG created 1.95 xGA

W 1.91 created, 0.97 conceded against 1. FC Heidenheim
W 1.79 created, 1.59 conceded against VfL Wolfsburg
W 1.65 created, 0.48 conceded against 1. FC Köln
L 2.88 created, 2.26 conceded against RB Leipzig
L 0.71 created, 2.62 conceded against Borussia Dortmund
L 1.20 created, 3.77 conceded against VfB Stuttgart

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

Head to head

Hamburger SV: 0 won · 0 drawn · 1 lost

FC Augsburg 1:0 Hamburger SV 22/11/2025 xG 1.70 – 1.36

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.