RC Lens 0:2 Paris Saint-Germain: xG & match report · Ligue 1

Wednesday, 13/05/2026 at 21:00

Full time

Match report · Ligue 1

RC Lens Home 2.87 xG · 25 shots

Paris Saint-Germain Away 1.22 xG · 10 shots

02 The result went against the chances

Goals

29' Khvicha Kvaratskhelia Paris Saint-Germain · 0.48 xG chance 0–1
90' Ibrahim Mbaye Paris Saint-Germain · 0.25 xG chance 0–2

The shots behind it

RC Lens Paris Saint-Germain

Shots: 25; 10
On target: 10; 3
Inside the box: 19; 8
xG per shot: 0.10; 0.11
Open play xG: 2.18; 1.05
Set-piece xG: 0.38; 0.03
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: 2.60 for RC Lens and 1.09 for Paris Saint-Germain.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

35 shots · 3.64 xG

Hover, focus or tap a shot to read it.

RC Lens
Paris Saint-Germain
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

RC Lens

2.11 xG created 1.35 xGA

W 3.19 created, 1.50 conceded against Angers
L 0.59 created, 3.63 conceded against Lille
W 3.76 created, 0.41 conceded against Toulouse
D 2.76 created, 0.25 conceded against Stade Brestois
D 1.53 created, 1.07 conceded against Nice
W 0.82 created, 1.25 conceded against Nantes

Paris Saint-Germain

2.30 xG created 0.58 xGA

W 1.79 created, 0.16 conceded against Toulouse
L 3.12 created, 0.62 conceded against Olympique Lyonnais
W 2.17 created, 0.89 conceded against Nantes
W 2.78 created, 0.70 conceded against Angers
D 2.42 created, 0.96 conceded against Lorient
W 1.49 created, 0.17 conceded against Stade Brestois

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

Head to head

RC Lens: 0 won · 0 drawn · 1 lost

Paris Saint-Germain 2:0 RC Lens 14/09/2025 xG 1.07 – 1.16

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.