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

Saturday, 02/05/2026 at 15:00

Full time

Match report · Ligue 1

Nantes Home 3.42 xG · 17 shots

Olympique de Marseille Away 1.36 xG · 16 shots

30 The scoreline reflected the chances

Goals

50' Ignatius Ganago Nantes · 0.22 xG chance 1–0
54' Rémy Cabella Nantes · 0.46 xG chance 2–0
58' Matthis Abline Nantes · 0.63 xG chance 3–0

The shots behind it

Nantes Olympique de Marseille

Shots: 17; 16
On target: 5; 8
Inside the box: 13; 11
xG per shot: 0.18; 0.11
Open play xG: 2.16; 1.58
Set-piece xG: 0.86; 0.16
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: 3.02 for Nantes and 1.72 for Olympique de Marseille.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

33 shots · 4.76 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Nantes

1.31 xG created 1.50 xGA

L 1.67 created, 2.12 conceded against RC Strasbourg
D 0.46 created, 2.31 conceded against Metz
D 1.73 created, 0.66 conceded against Auxerre
D 0.92 created, 0.42 conceded against Stade Brestois
L 0.89 created, 2.17 conceded against Paris Saint-Germain
L 2.17 created, 1.30 conceded against Stade Rennais

Olympique de Marseille

1.85 xG created 0.95 xGA

W 0.88 created, 0.31 conceded against Auxerre
L 0.61 created, 0.97 conceded against Lille
L 2.11 created, 1.17 conceded against AS Monaco
W 3.55 created, 0.48 conceded against Metz
L 1.65 created, 1.33 conceded against Lorient
D 2.32 created, 1.46 conceded against Nice

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

Head to head

Nantes: 1 won · 0 drawn · 0 lost

Olympique de Marseille 0:2 Nantes 04/01/2026 xG 0.75 – 3.63

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.