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

Saturday, 04/10/2025 at 17:00

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Match report · Ligue 1

Metz Home 0.16 xG · 4 shots

Olympique de Marseille Away 2.71 xG · 21 shots

03 The scoreline reflected the chances

Goals

51' Igor Paixão Olympique de Marseille · 0.10 xG chance 0–1
69' Matt O'Riley Olympique de Marseille · 0.08 xG chance 0–2
76' Amine Gouiri Olympique de Marseille · 0.48 xG chance 0–3

The shots behind it

Metz Olympique de Marseille

Shots: 4; 21
On target: 1; 9
Inside the box: 1; 11
xG per shot: 0.04; 0.13
Open play xG: 0.14; 2.48
Set-piece xG: 0.00; 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: 0.14 for Metz and 2.72 for Olympique de Marseille.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

25 shots · 2.81 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Metz

1.17 xG created 2.11 xGA

L 0.30 created, 0.62 conceded against RC Strasbourg
L 0.56 created, 2.77 conceded against Olympique Lyonnais
L 1.84 created, 3.21 conceded against Paris FC
D 1.71 created, 2.27 conceded against Angers
L 2.16 created, 3.50 conceded against AS Monaco
D 0.47 created, 0.27 conceded against Le Havre

Olympique de Marseille

1.79 xG created 1.15 xGA

L 1.79 created, 1.39 conceded against Stade Rennais
W 2.83 created, 1.09 conceded against Paris FC
L 0.77 created, 2.27 conceded against Olympique Lyonnais
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

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.