Olympique de Marseille 3:0 Stade Brestois: xG & match report · Ligue 1

Saturday, 08/11/2025 at 17:00

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Match report · Ligue 1

Olympique de Marseille Home 3.46 xG · 19 shots

Stade Brestois Away 0.74 xG · 4 shots

30 The scoreline reflected the chances

Goals

25' Angel Gomes Olympique de Marseille · 0.11 xG chance 1–0
33' Mason Greenwood (pen.) Olympique de Marseille · 0.82 xG chance 2–0
82' Pierre-Emerick Aubameyang Olympique de Marseille · 0.62 xG chance 3–0

The shots behind it

Olympique de Marseille Stade Brestois

Shots: 19; 4
On target: 7; 2
Inside the box: 10; 3
xG per shot: 0.18; 0.24
Open play xG: 2.51; 0.94
Set-piece xG: 0.13; 0.00
Penalties: 1; 0

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: 0.94 for Stade Brestois.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

23 shots · 4.40 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Olympique de Marseille

1.88 xG created 1.00 xGA

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
D 1.33 created, 1.04 conceded against Angers
W 0.52 created, 1.17 conceded against Auxerre

Stade Brestois

1.39 xG created 0.85 xGA

W 1.56 created, 0.48 conceded against Angers
D 1.51 created, 0.15 conceded against Nantes
D 1.59 created, 1.20 conceded against Lorient
L 1.62 created, 2.07 conceded against Paris Saint-Germain
L 0.55 created, 1.01 conceded against Le Havre
D 1.49 created, 0.20 conceded against Olympique Lyonnais

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

Model details

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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.