Toulouse 0:4 Lille: xG & match report · Ligue 1

Sunday, 12/04/2026 at 17:15

Full time

Match report · Ligue 1

Toulouse Home 0.96 xG · 9 shots

Lille Away 2.31 xG · 15 shots

04 The scoreline reflected the chances

Goals

23' Thomas Meunier Lille · 0.07 xG chance 0–1
50' Romain Perraud Lille · 0.08 xG chance 0–2
55' Matías Fernández-Pardo Lille · 0.10 xG chance 0–3
88' Olivier Giroud (pen.) Lille · 0.82 xG chance 0–4

The shots behind it

Toulouse Lille

Shots: 9; 15
On target: 1; 9
Inside the box: 4; 9
xG per shot: 0.11; 0.13
Open play xG: 0.08; 0.98
Set-piece xG: 0.88; 0.08
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: 1.05 for Lille.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

24 shots · 2.84 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Toulouse

1.18 xG created 1.11 xGA

D 2.89 created, 0.82 conceded against Paris FC
L 0.49 created, 0.92 conceded against Stade Rennais
L 0.98 created, 1.09 conceded against Olympique de Marseille
W 1.42 created, 1.65 conceded against Metz
W 1.15 created, 0.40 conceded against Lorient
L 0.16 created, 1.79 conceded against Paris Saint-Germain

Lille

1.58 xG created 0.57 xGA

W 2.25 created, 0.38 conceded against Angers
W 0.51 created, 0.21 conceded against Nantes
D 0.51 created, 0.45 conceded against Lorient
W 1.63 created, 1.18 conceded against Stade Rennais
W 0.97 created, 0.61 conceded against Olympique de Marseille
W 3.63 created, 0.59 conceded against RC Lens

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

Head to head

Toulouse: 0 won · 0 drawn · 1 lost

Lille 2:1 Toulouse 14/09/2025 xG 2.21 – 0.81

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.