Bayer 04 Leverkusen 2:0 SC Freiburg: xG & match report · Bundesliga

Sunday, 26/10/2025 at 15:30

Full time

Match report · Bundesliga

Bayer 04 Leverkusen Home 1.71 xG · 19 shots

SC Freiburg Away 0.72 xG · 10 shots

20 The scoreline reflected the chances

Goals

22' Ernest Poku Bayer 04 Leverkusen · 0.05 xG chance 1–0
52' Edmond Tapsoba Bayer 04 Leverkusen · 0.36 xG chance 2–0

The shots behind it

Bayer 04 Leverkusen SC Freiburg

Shots: 19; 10
On target: 4; 3
Inside the box: 10; 6
xG per shot: 0.09; 0.06
Open play xG: 1.30; 0.35
Set-piece xG: 0.43; 0.27
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: 1.74 for Bayer 04 Leverkusen and 0.62 for SC Freiburg.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

29 shots · 2.35 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Bayer 04 Leverkusen

2.14 xG created 1.20 xGA

D 2.10 created, 2.59 conceded against SV Werder Bremen
W 2.11 created, 0.65 conceded against Eintracht Frankfurt
D 1.58 created, 0.76 conceded against Borussia M'gladbach
W 0.69 created, 0.82 conceded against FC St. Pauli
W 2.87 created, 0.74 conceded against 1. FC Union Berlin
W 3.48 created, 1.66 conceded against 1. FSV Mainz 05

SC Freiburg

1.34 xG created 1.31 xGA

L 0.91 created, 2.11 conceded against 1. FC Köln
W 1.55 created, 0.53 conceded against VfB Stuttgart
W 2.42 created, 1.22 conceded against SV Werder Bremen
D 1.31 created, 2.54 conceded against TSG Hoffenheim
D 0.70 created, 0.58 conceded against Borussia M'gladbach
D 1.14 created, 0.89 conceded against Eintracht Frankfurt

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.