Lorient 2:2 Auxerre: xG & match report · Ligue 1

Sunday, 01/03/2026 at 17:15

Full time

Match report · Ligue 1

Lorient Home 1.01 xG · 15 shots

Auxerre Away 1.54 xG · 10 shots

22 Auxerre had the better chances, but it finished level

Goals

1' Marvin Senaya Auxerre · 0.54 xG chance 0–1
19' Ahmadou Bamba Dieng Lorient · 0.07 xG chance 1–1
24' Josué Casimir Auxerre · 0.28 xG chance 1–2
29' Ahmadou Bamba Dieng Lorient · 0.11 xG chance 2–2

The shots behind it

Lorient Auxerre

Shots: 15; 10
On target: 5; 3
Inside the box: 10; 8
xG per shot: 0.07; 0.16
Open play xG: 0.64; 0.72
Set-piece xG: 0.36; 0.85
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: 1.01 for Lorient and 1.55 for Auxerre.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

25 shots · 2.57 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Lorient

1.20 xG created 1.58 xGA

W 1.38 created, 1.25 conceded against AS Monaco
W 1.30 created, 1.83 conceded against Stade Rennais
W 0.55 created, 1.05 conceded against Nantes
L 0.77 created, 1.71 conceded against Stade Brestois
W 0.95 created, 0.37 conceded against Angers
D 2.24 created, 3.24 conceded against Nice

Auxerre

0.66 xG created 1.38 xGA

L 0.55 created, 2.66 conceded against RC Lens
L 0.30 created, 2.07 conceded against Paris Saint-Germain
D 0.56 created, 0.75 conceded against Toulouse
D 1.14 created, 0.87 conceded against Paris FC
W 0.78 created, 0.93 conceded against Metz
L 0.65 created, 0.98 conceded against Stade Rennais

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

Head to head

Lorient: 0 won · 0 drawn · 1 lost

Auxerre 1:0 Lorient 17/08/2025 xG 1.44 – 1.37

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.