Olympique de Marseille 1:1 Nice: xG & match report · Ligue 1

Sunday, 26/04/2026 at 20:45

Full time

Match report · Ligue 1

Olympique de Marseille Home 2.32 xG · 24 shots

Nice Away 1.46 xG · 5 shots

11 Olympique de Marseille had the better chances, but it finished level

Goals

66' Pierre-Emile Højbjerg Olympique de Marseille · 0.07 xG chance 1–0
88' Elye Wahi (pen.) Nice · 0.82 xG chance 1–1

The shots behind it

Olympique de Marseille Nice

Shots: 24; 5
On target: 6; 2
Inside the box: 18; 4
xG per shot: 0.09; 0.30
Open play xG: 0.75; 0.63
Set-piece xG: 1.34; 0.04
Penalties: 0; 1

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: 2.08 for Olympique de Marseille and 0.67 for Nice.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

29 shots · 3.58 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Olympique de Marseille

1.65 xG created 0.87 xGA

W 1.09 created, 0.98 conceded against Toulouse
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

Nice

1.10 xG created 1.83 xGA

L 2.15 created, 1.66 conceded against Stade Rennais
W 1.58 created, 1.02 conceded against Angers
L 0.24 created, 3.71 conceded against Paris Saint-Germain
L 0.32 created, 2.26 conceded against RC Strasbourg
D 2.11 created, 1.76 conceded against Le Havre
D 0.19 created, 0.54 conceded against Lille

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

Head to head

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

Nice 1:5 Olympique de Marseille 21/11/2025 xG 1.19 – 2.86

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.