SV Werder Bremen 0:2 1. FSV Mainz 05: xG & match report · Bundesliga

Sunday, 15/03/2026 at 15:30

Full time

Match report · Bundesliga

SV Werder Bremen Home 0.88 xG · 16 shots

1. FSV Mainz 05 Away 1.08 xG · 11 shots

02 The chances were evenly matched

Goals

6' Paul Nebel 1. FSV Mainz 05 · 0.21 xG chance 0–1
52' Jae-sung Lee 1. FSV Mainz 05 · 0.22 xG chance 0–2

The shots behind it

SV Werder Bremen 1. FSV Mainz 05

Shots: 16; 11
On target: 3; 2
Inside the box: 14; 9
xG per shot: 0.06; 0.10
Open play xG: 0.63; 0.73
Set-piece xG: 0.26; 0.35
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: 0.88 for SV Werder Bremen.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

27 shots · 1.97 xG

Hover, focus or tap a shot to read it.

SV Werder Bremen
1. FSV Mainz 05
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

SV Werder Bremen

1.53 xG created 1.00 xGA

D 1.16 created, 0.90 conceded against Borussia M'gladbach
L 0.83 created, 0.46 conceded against SC Freiburg
L 0.98 created, 1.90 conceded against FC Bayern München
L 1.63 created, 0.21 conceded against FC St. Pauli
W 2.64 created, 1.36 conceded against 1. FC Heidenheim
W 1.96 created, 1.16 conceded against 1. FC Union Berlin

1. FSV Mainz 05

1.88 xG created 1.14 xGA

W 2.33 created, 1.43 conceded against RB Leipzig
W 2.31 created, 0.70 conceded against FC Augsburg
L 1.52 created, 1.80 conceded against Borussia Dortmund
D 1.53 created, 0.70 conceded against Hamburger SV
D 0.73 created, 1.23 conceded against Bayer 04 Leverkusen
D 2.84 created, 0.98 conceded against VfB Stuttgart

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

Head to head

SV Werder Bremen: 0 won · 1 drawn · 0 lost

1. FSV Mainz 05 1:1 SV Werder Bremen 01/11/2025 xG 1.42 – 1.04

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.