Stade Brestois 3:2 Metz: xG & match report · Ligue 1

Sunday, 23/11/2025 at 17:15

Full time

Match report · Ligue 1

Stade Brestois Home 3.11 xG · 20 shots

Metz Away 1.05 xG · 8 shots

32 The scoreline reflected the chances

Goals

2' Pathé Mboup Stade Brestois · 0.09 xG chance 1–0
6' Giorgi Tsitaishvili Metz · 0.35 xG chance 1–1
48' Kamory Doumbia Stade Brestois · 0.07 xG chance 2–1
79' Soumaila Coulibaly (o.g.) Metz · 0.10 xG chance 2–2
90' Romain Del Castillo (pen.) Stade Brestois · 0.82 xG chance 3–2

The shots behind it

Stade Brestois Metz

Shots: 20; 8
On target: 7; 4
Inside the box: 15; 4
xG per shot: 0.16; 0.13
Open play xG: 1.32; 1.00
Set-piece xG: 0.22; 0.06
Penalties: 2; 0

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: 1.63 for Stade Brestois and 0.95 for Metz.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

28 shots · 4.24 xG

Hover, focus or tap a shot to read it.

Stade Brestois
Metz
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

Stade Brestois

1.25 xG created 1.35 xGA

D 1.51 created, 0.15 conceded against Nantes
D 1.59 created, 1.20 conceded against Lorient
L 1.62 created, 2.07 conceded against Paris Saint-Germain
L 0.55 created, 1.01 conceded against Le Havre
D 1.49 created, 0.20 conceded against Olympique Lyonnais
L 0.74 created, 3.46 conceded against Olympique de Marseille

Metz

1.31 xG created 1.88 xGA

L 0.16 created, 2.71 conceded against Olympique de Marseille
L 0.08 created, 2.54 conceded against Toulouse
L 1.29 created, 2.92 conceded against Lille
W 3.42 created, 1.32 conceded against RC Lens
W 1.34 created, 0.81 conceded against Nantes
W 1.58 created, 0.95 conceded against Nice

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.