Paris Saint-Germain 3:3 RC Strasbourg: xG & match report · Ligue 1

Friday, 17/10/2025 at 20:45

Full time

Match report · Ligue 1

Paris Saint-Germain Home 2.67 xG · 21 shots

RC Strasbourg Away 2.15 xG · 12 shots

33 Paris Saint-Germain had the better chances, but it finished level

Goals

6' Bradley Barcola Paris Saint-Germain · 0.35 xG chance 1–0
26' Joaquin Panichelli RC Strasbourg · 0.04 xG chance 1–1
41' Diego Moreira RC Strasbourg · 0.28 xG chance 1–2
49' Joaquin Panichelli RC Strasbourg · 0.62 xG chance 1–3
58' Gonçalo Ramos (pen.) Paris Saint-Germain · 0.82 xG chance 2–3
79' Senny Mayulu Paris Saint-Germain · 0.24 xG chance 3–3

The shots behind it

Paris Saint-Germain RC Strasbourg

Shots: 21; 12
On target: 9; 7
Inside the box: 11; 9
xG per shot: 0.13; 0.22
Open play xG: 1.65; 2.59
Set-piece xG: 0.27; 0.00
Penalties: 1; 0

Paris Saint-Germain's shots add up to 2.74 xG and RC Strasbourg's to 2.59; the published figures are 2.67 and 2.15.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

33 shots · 5.33 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Paris Saint-Germain

1.58 xG created 1.01 xGA

W 1.85 created, 0.24 conceded against Angers
W 2.62 created, 2.22 conceded against Toulouse
W 1.07 created, 1.16 conceded against RC Lens
L 0.67 created, 1.09 conceded against Olympique de Marseille
W 1.77 created, 0.71 conceded against Auxerre
D 1.50 created, 0.65 conceded against Lille

RC Strasbourg

2.21 xG created 1.16 xGA

W 1.78 created, 0.44 conceded against Nantes
L 1.62 created, 1.94 conceded against AS Monaco
W 1.36 created, 0.65 conceded against Le Havre
W 2.38 created, 1.60 conceded against Paris FC
L 1.36 created, 2.02 conceded against Olympique de Marseille
W 4.73 created, 0.32 conceded against Angers

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

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.