FC Augsburg 2:0 Bayer 04 Leverkusen: xG & match report · Bundesliga

Saturday, 06/12/2025 at 15:30

Full time

Match report · Bundesliga

FC Augsburg Home 1.28 xG · 13 shots

Bayer 04 Leverkusen Away 1.63 xG · 20 shots

20 The result went against the chances

Goals

6' Dimitrios Giannoulis FC Augsburg · 0.39 xG chance 1–0
28' Anton Kade FC Augsburg · 0.29 xG chance 2–0

The shots behind it

FC Augsburg Bayer 04 Leverkusen

Shots: 13; 20
On target: 6; 2
Inside the box: 9; 12
xG per shot: 0.12; 0.08
Open play xG: 1.45; 1.05
Set-piece xG: 0.11; 0.57
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: 1.57 for FC Augsburg and 1.64 for Bayer 04 Leverkusen.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

33 shots · 3.18 xG

Hover, focus or tap a shot to read it.

FC Augsburg
Bayer 04 Leverkusen
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

FC Augsburg

1.21 xG created 1.58 xGA

D 1.12 created, 0.58 conceded against 1. FC Köln
L 0.73 created, 2.77 conceded against RB Leipzig
L 0.83 created, 0.32 conceded against Borussia Dortmund
L 1.93 created, 2.35 conceded against VfB Stuttgart
W 1.70 created, 1.36 conceded against Hamburger SV
L 0.96 created, 2.08 conceded against TSG Hoffenheim

Bayer 04 Leverkusen

1.78 xG created 1.28 xGA

W 3.48 created, 1.66 conceded against 1. FSV Mainz 05
W 1.71 created, 0.72 conceded against SC Freiburg
L 0.23 created, 2.03 conceded against FC Bayern München
W 3.31 created, 0.12 conceded against 1. FC Heidenheim
W 1.10 created, 2.13 conceded against VfL Wolfsburg
L 0.82 created, 0.99 conceded against Borussia Dortmund

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.