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

Saturday, 07/03/2026 at 21:05

Full time

Match report · Ligue 1

Toulouse Home 0.98 xG · 12 shots

Olympique de Marseille Away 1.09 xG · 10 shots

01 The chances were evenly matched

Goals

18' Mason Greenwood Olympique de Marseille · 0.08 xG chance 0–1

The shots behind it

Toulouse Olympique de Marseille

Shots: 12; 10
On target: 2; 3
Inside the box: 9; 7
xG per shot: 0.08; 0.11
Open play xG: 0.73; 0.95
Set-piece xG: 0.25; 0.17
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: 1.09 for Olympique de Marseille.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

22 shots · 2.10 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Toulouse

1.25 xG created 0.90 xGA

W 0.37 created, 0.99 conceded against Stade Brestois
D 0.75 created, 0.56 conceded against Auxerre
L 0.45 created, 0.98 conceded against Angers
L 2.57 created, 1.16 conceded against Le Havre
D 2.89 created, 0.82 conceded against Paris FC
L 0.49 created, 0.92 conceded against Stade Rennais

Olympique de Marseille

1.47 xG created 1.85 xGA

W 0.88 created, 0.91 conceded against RC Lens
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

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

Head to head

Toulouse: 0 won · 1 drawn · 0 lost

Olympique de Marseille 2:2 Toulouse 29/11/2025 xG 1.80 – 0.70

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.