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

Sunday, 22/03/2026 at 17:15

Full time

Match report · Ligue 1

Olympique de Marseille Home 0.61 xG · 14 shots

Lille Away 0.97 xG · 11 shots

12 The scoreline reflected the chances

Goals

43' Ethan Nwaneri Olympique de Marseille · 0.15 xG chance 1–0
49' Thomas Meunier Lille · 0.09 xG chance 1–1
86' Olivier Giroud Lille · 0.25 xG chance 1–2

The shots behind it

Olympique de Marseille Lille

Shots: 14; 11
On target: 3; 4
Inside the box: 7; 8
xG per shot: 0.04; 0.09
Open play xG: 0.47; 0.87
Set-piece xG: 0.12; 0.10
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: 0.61 for Olympique de Marseille.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

25 shots · 1.56 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Olympique de Marseille

1.25 xG created 1.62 xGA

L 0.66 created, 4.14 conceded against Paris Saint-Germain
D 1.43 created, 1.97 conceded against RC Strasbourg
L 1.42 created, 1.13 conceded against Stade Brestois
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

Lille

1.35 xG created 0.59 xGA

D 1.65 created, 0.63 conceded against Metz
D 1.54 created, 0.68 conceded against Stade Brestois
W 2.25 created, 0.38 conceded against Angers
W 0.51 created, 0.21 conceded against Nantes
D 0.51 created, 0.45 conceded against Lorient
W 1.63 created, 1.18 conceded against Stade Rennais

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

Head to head

Olympique de Marseille: 0 won · 0 drawn · 1 lost

Lille 1:0 Olympique de Marseille 05/12/2025 xG 0.35 – 0.53

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.