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

Friday, 13/03/2026 at 20:45

Full time

Match report · Ligue 1

Olympique de Marseille Home 0.88 xG · 16 shots

Auxerre Away 0.31 xG · 8 shots

10 The scoreline reflected the chances

Goals

79' Amine Gouiri Olympique de Marseille · 0.20 xG chance 1–0

The shots behind it

Olympique de Marseille Auxerre

Shots: 16; 8
On target: 3; 3
Inside the box: 6; 4
xG per shot: 0.06; 0.04
Open play xG: 0.59; 0.14
Set-piece xG: 0.30; 0.18
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: 0.88 for Olympique de Marseille and 0.31 for Auxerre.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

24 shots · 1.21 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Olympique de Marseille

1.50 xG created 1.86 xGA

D 2.41 created, 1.76 conceded against Paris FC
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

Auxerre

0.90 xG created 0.88 xGA

D 0.56 created, 0.75 conceded against Toulouse
D 1.14 created, 0.87 conceded against Paris FC
W 0.78 created, 0.93 conceded against Metz
L 0.65 created, 0.98 conceded against Stade Rennais
D 1.54 created, 1.01 conceded against Lorient
D 0.73 created, 0.74 conceded against RC Strasbourg

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

Head to head

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

Auxerre 0:1 Olympique de Marseille 01/11/2025 xG 1.17 – 0.52

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.