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

Wednesday, 29/10/2025 at 21:05

Full time

Match report · Ligue 1

Olympique de Marseille Home 1.33 xG · 11 shots

Angers Away 1.04 xG · 12 shots

22 Olympique de Marseille had the better chances, but it finished level

Goals

25' Sidiki Cherif Angers · 0.12 xG chance 0–1
52' Robinio Vaz Olympique de Marseille · 0.41 xG chance 1–1
70' Robinio Vaz Olympique de Marseille · 0.20 xG chance 2–1
90' Ousmane Camara Angers · 0.06 xG chance 2–2

The shots behind it

Olympique de Marseille Angers

Shots: 11; 12
On target: 6; 6
Inside the box: 8; 7
xG per shot: 0.12; 0.09
Open play xG: 1.31; 0.88
Set-piece xG: 0.06; 0.19
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: 1.35 for Olympique de Marseille and 1.04 for Angers.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

23 shots · 2.44 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Olympique de Marseille

2.13 xG created 0.77 xGA

W 2.26 created, 0.14 conceded against Lorient
W 1.09 created, 0.67 conceded against Paris Saint-Germain
W 2.02 created, 1.36 conceded against RC Strasbourg
W 2.71 created, 0.16 conceded against Metz
W 4.01 created, 0.49 conceded against Le Havre
L 0.66 created, 1.80 conceded against RC Lens

Angers

1.16 xG created 2.28 xGA

D 2.27 created, 1.71 conceded against Metz
L 1.18 created, 1.81 conceded against Olympique Lyonnais
L 0.48 created, 1.56 conceded against Stade Brestois
L 0.32 created, 4.73 conceded against RC Strasbourg
D 1.77 created, 1.88 conceded against AS Monaco
W 0.93 created, 1.99 conceded against Lorient

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.