RC Lens 3:2 Toulouse: xG & match report · Ligue 1

Friday, 17/04/2026 at 20:45

Full time

Match report · Ligue 1

RC Lens Home 3.76 xG · 41 shots

Toulouse Away 0.41 xG · 5 shots

32 The scoreline reflected the chances

Goals

6' Cristian Cásseres Jr. Toulouse · 0.02 xG chance 0–1
13' Seny Koumbassa Toulouse · 0.21 xG chance 0–2
61' Saud Abdulhamid RC Lens · 0.12 xG chance 1–2
67' Adrien Thomasson RC Lens · 0.63 xG chance 2–2
90' Ismaelo Ganiou RC Lens · 0.17 xG chance 3–2

The shots behind it

RC Lens Toulouse

Shots: 41; 5
On target: 13; 2
Inside the box: 27; 3
xG per shot: 0.09; 0.08
Open play xG: 2.80; 0.20
Set-piece xG: 0.94; 0.21
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: 3.76 for RC Lens.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

46 shots · 4.15 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

RC Lens

1.94 xG created 1.61 xGA

L 1.60 created, 1.95 conceded against AS Monaco
D 1.68 created, 0.75 conceded against RC Strasbourg
W 3.22 created, 0.40 conceded against Metz
L 1.34 created, 1.45 conceded against Lorient
W 3.19 created, 1.50 conceded against Angers
L 0.59 created, 3.63 conceded against Lille

Toulouse

0.86 xG created 1.36 xGA

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
L 0.96 created, 2.31 conceded against Lille

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

Head to head

RC Lens: 1 won · 0 drawn · 0 lost

Toulouse 0:3 RC Lens 02/01/2026 xG 0.66 – 1.62

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.