Paris FC 0:5 RC Lens: xG & match report · Ligue 1

Saturday, 14/02/2026 at 21:05

Full time

Match report · Ligue 1

Paris FC Home 0.58 xG · 11 shots

RC Lens Away 3.45 xG · 17 shots

05 The scoreline reflected the chances

Goals

24' Wesley Saïd RC Lens · 0.17 xG chance 0–1
38' Wesley Saïd RC Lens · 0.10 xG chance 0–2
58' Florian Thauvin (pen.) RC Lens · 0.82 xG chance 0–3
90' Rayan Fofana RC Lens · 0.55 xG chance 0–4
90' Rayan Fofana RC Lens · 0.09 xG chance 0–5

The shots behind it

Paris FC RC Lens

Shots: 11; 17
On target: 6; 6
Inside the box: 3; 17
xG per shot: 0.05; 0.21
Open play xG: 0.57; 2.65
Set-piece xG: 0.00; 0.10
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: 0.58 for Paris FC and 2.78 for RC Lens.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

28 shots · 4.14 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Paris FC

0.96 xG created 1.47 xGA

L 0.46 created, 2.54 conceded against Toulouse
L 1.01 created, 1.71 conceded against Paris Saint-Germain
W 0.97 created, 0.36 conceded against Nantes
D 0.70 created, 0.66 conceded against Angers
D 1.76 created, 2.41 conceded against Olympique de Marseille
D 0.87 created, 1.14 conceded against Auxerre

RC Lens

1.69 xG created 0.78 xGA

W 1.65 created, 0.76 conceded against Nice
W 1.62 created, 0.66 conceded against Toulouse
W 2.66 created, 0.55 conceded against Auxerre
L 0.91 created, 0.88 conceded against Olympique de Marseille
W 2.14 created, 0.47 conceded against Le Havre
W 1.18 created, 1.38 conceded against Stade Rennais

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

Head to head

Paris FC: 0 won · 0 drawn · 1 lost

RC Lens 2:1 Paris FC 19/10/2025 xG 1.63 – 0.52

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.