Bayer 04 Leverkusen 2:0 1. FC Köln: xG & match report · Bundesliga

Saturday, 13/12/2025 at 18:30

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Match report · Bundesliga

Bayer 04 Leverkusen Home 2.07 xG · 17 shots

1. FC Köln Away 0.20 xG · 5 shots

20 The scoreline reflected the chances

Goals

66' Martin Terrier Bayer 04 Leverkusen · 0.27 xG chance 1–0
72' Robert Andrich Bayer 04 Leverkusen · 0.11 xG chance 2–0

The shots behind it

Bayer 04 Leverkusen 1. FC Köln

Shots: 17; 5
On target: 6; 4
Inside the box: 11; 1
xG per shot: 0.12; 0.03
Open play xG: 1.75; 0.11
Set-piece xG: 0.32; 0.04
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: 0.15 for 1. FC Köln.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

22 shots · 2.22 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Bayer 04 Leverkusen

1.47 xG created 1.21 xGA

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
L 1.63 created, 1.28 conceded against FC Augsburg

1. FC Köln

1.69 xG created 1.52 xGA

L 0.39 created, 1.90 conceded against Borussia Dortmund
W 3.72 created, 1.09 conceded against Hamburger SV
L 2.22 created, 2.98 conceded against Borussia M'gladbach
L 1.22 created, 1.81 conceded against Eintracht Frankfurt
D 0.94 created, 1.17 conceded against SV Werder Bremen
D 1.66 created, 0.14 conceded against FC St. Pauli

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.