Nantes 1:4 Nice: xG & match report · Ligue 1

Sunday, 25/01/2026 at 15:00

Full time

Match report · Ligue 1

Nantes Home 1.59 xG · 20 shots

Nice Away 0.87 xG · 7 shots

14 The result went against the chances

Goals

16' Mohamed Ali Cho Nice · 0.05 xG chance 0–1
29' Mohamed Ali Cho Nice · 0.09 xG chance 0–2
40' Sofiane Diop Nice · 0.30 xG chance 0–3
45' Mostafa Mohamed Nantes · 0.48 xG chance 1–3
90' Tom Louchet Nice · 0.10 xG chance 1–4

The shots behind it

Nantes Nice

Shots: 20; 7
On target: 5; 4
Inside the box: 14; 4
xG per shot: 0.08; 0.13
Open play xG: 0.55; 0.89
Set-piece xG: 0.99; 0.00
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: 1.58 for Nantes and 0.87 for Nice.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

27 shots · 2.43 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Nantes

1.20 xG created 1.51 xGA

D 0.84 created, 0.32 conceded against Lorient
L 0.86 created, 2.35 conceded against Olympique Lyonnais
L 1.19 created, 2.30 conceded against RC Lens
L 0.35 created, 2.39 conceded against Angers
W 3.63 created, 0.75 conceded against Olympique de Marseille
L 0.36 created, 0.97 conceded against Paris FC

Nice

1.47 xG created 1.82 xGA

L 1.19 created, 2.86 conceded against Olympique de Marseille
L 0.82 created, 2.38 conceded against Lorient
L 1.31 created, 0.83 conceded against Angers
L 0.76 created, 1.65 conceded against RC Lens
D 2.75 created, 1.35 conceded against RC Strasbourg
L 1.99 created, 1.84 conceded against Toulouse

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

Head to head

Nantes: 0 won · 0 drawn · 1 lost

Nice 1:0 Nantes 13/09/2025 xG 1.75 – 0.75

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.