Lorient 2:0 Olympique de Marseille: xG & match report · Ligue 1

Saturday, 18/04/2026 at 17:00

Full time

Match report · Ligue 1

Lorient Home 1.33 xG · 11 shots

Olympique de Marseille Away 1.65 xG · 16 shots

20 The result went against the chances

Goals

28' Panos Katseris Lorient · 0.27 xG chance 1–0
58' Ahmadou Bamba Dieng Lorient · 0.09 xG chance 2–0

The shots behind it

Lorient Olympique de Marseille

Shots: 11; 16
On target: 4; 2
Inside the box: 5; 11
xG per shot: 0.11; 0.11
Open play xG: 1.07; 1.56
Set-piece xG: 0.09; 0.13
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: 1.11 for Lorient and 1.72 for Olympique de Marseille.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

27 shots · 2.85 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Lorient

1.06 xG created 1.12 xGA

D 1.01 created, 1.54 conceded against Auxerre
D 0.45 created, 0.51 conceded against Lille
W 1.45 created, 1.34 conceded against RC Lens
L 0.40 created, 1.15 conceded against Toulouse
D 1.18 created, 1.04 conceded against Paris FC
L 1.87 created, 1.16 conceded against Olympique Lyonnais

Olympique de Marseille

1.71 xG created 0.85 xGA

W 2.00 created, 1.20 conceded against Olympique Lyonnais
W 1.09 created, 0.98 conceded against Toulouse
W 0.88 created, 0.31 conceded against Auxerre
L 0.61 created, 0.97 conceded against Lille
L 2.11 created, 1.17 conceded against AS Monaco
W 3.55 created, 0.48 conceded against Metz

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

Head to head

Lorient: 0 won · 0 drawn · 1 lost

Olympique de Marseille 4:0 Lorient 12/09/2025 xG 2.26 – 0.14

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.