Lorient 3:3 Stade Brestois: xG & match report · Ligue 1

Sunday, 19/10/2025 at 17:15

Full time

Match report · Ligue 1

Lorient Home 1.20 xG · 12 shots

Stade Brestois Away 1.59 xG · 9 shots

33 Stade Brestois had the better chances, but it finished level

Goals

2' Théo Le Bris Lorient · 0.26 xG chance 1–0
34' Eric Ebimbe Stade Brestois · 0.29 xG chance 1–1
44' Jean Victor Makengo (o.g.) Stade Brestois 1–2
55' Arsène Kouassi Lorient · 0.02 xG chance 2–2
86' Romain Del Castillo (pen.) Stade Brestois · 0.82 xG chance 2–3
89' Sambou Soumano Lorient · 0.28 xG chance 3–3

The shots behind it

Lorient Stade Brestois

Shots: 12; 9
On target: 7; 5
Inside the box: 10; 7
xG per shot: 0.10; 0.18
Open play xG: 0.84; 0.68
Set-piece xG: 0.35; 0.12
Penalties: 0; 1

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: 1.21 for Lorient and 0.80 for Stade Brestois.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

21 shots · 2.81 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Lorient

1.47 xG created 1.71 xGA

W 3.04 created, 0.08 conceded against Stade Rennais
L 1.50 created, 3.49 conceded against Lille
L 0.14 created, 2.26 conceded against Olympique de Marseille
D 1.21 created, 2.47 conceded against Le Havre
W 1.98 created, 0.92 conceded against AS Monaco
L 0.97 created, 1.02 conceded against Paris FC

Stade Brestois

1.62 xG created 1.63 xGA

L 0.97 created, 1.28 conceded against Toulouse
L 1.08 created, 3.99 conceded against RC Lens
L 2.57 created, 1.55 conceded against Paris FC
W 2.03 created, 2.33 conceded against Nice
W 1.56 created, 0.48 conceded against Angers
D 1.51 created, 0.15 conceded against Nantes

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.