Nice 3:3 Lorient: xG & match report · Ligue 1

Sunday, 22/02/2026 at 17:15

Full time

Match report · Ligue 1

Nice Home 3.24 xG · 8 shots

Lorient Away 2.24 xG · 17 shots

33 Nice had the better chances, but it finished level

Goals

12' Tom Louchet Nice · 0.76 xG chance 1–0
45' Tom Louchet Nice · 1.00 xG chance – Scored in the same minute as another goal, so the score after it is not shown.
45' Pablo Pagis Lorient · 0.04 xG chance – Scored in the same minute as another goal, so the score after it is not shown.
59' Kaïl Boudache Nice · 0.60 xG chance 3–1
67' Ahmadou Bamba Dieng (pen.) Lorient · 0.82 xG chance 3–2
90' Noah Cadiou Lorient · 0.04 xG chance 3–3

The shots behind it

Nice Lorient

Shots: 8; 17
On target: 4; 5
Inside the box: 6; 12
xG per shot: 0.41; 0.13
Open play xG: 3.25; 1.04
Set-piece xG: 0.04; 0.40
Penalties: 0; 1

Nice's shots add up to 3.29 xG and Lorient's to 2.26; the published figures are 3.24 and 2.24.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

25 shots · 5.55 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Nice

1.45 xG created 1.43 xGA

D 2.75 created, 1.35 conceded against RC Strasbourg
L 1.99 created, 1.84 conceded against Toulouse
W 0.87 created, 1.59 conceded against Nantes
D 1.35 created, 1.69 conceded against Stade Brestois
D 0.50 created, 0.61 conceded against AS Monaco
L 1.26 created, 1.52 conceded against Olympique Lyonnais

Lorient

1.07 xG created 1.10 xGA

D 1.44 created, 0.41 conceded against Metz
W 1.38 created, 1.25 conceded against AS Monaco
W 1.30 created, 1.83 conceded against Stade Rennais
W 0.55 created, 1.05 conceded against Nantes
L 0.77 created, 1.71 conceded against Stade Brestois
W 0.95 created, 0.37 conceded against Angers

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

Head to head

Nice: 0 won · 0 drawn · 1 lost

Lorient 3:1 Nice 30/11/2025 xG 2.38 – 0.82

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.