Paris Saint-Germain 3:0 Metz: xG & match report · Ligue 1

Saturday, 21/02/2026 at 21:05

Full time

Match report · Ligue 1

Paris Saint-Germain Home 2.13 xG · 17 shots

Metz Away 0.08 xG · 3 shots

30 The scoreline reflected the chances

Goals

3' Désiré Doué Paris Saint-Germain · 0.46 xG chance 1–0
45' Bradley Barcola Paris Saint-Germain · 0.70 xG chance 2–0
77' Gonçalo Ramos Paris Saint-Germain · 0.16 xG chance 3–0

The shots behind it

Paris Saint-Germain Metz

Shots: 17; 3
On target: 7; 0
Inside the box: 11; 0
xG per shot: 0.13; 0.03
Open play xG: 1.30; 0.09
Set-piece xG: 0.85; 0.00
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: 2.17 for Paris Saint-Germain and 0.08 for Metz.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

20 shots · 2.24 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Paris Saint-Germain

2.35 xG created 1.12 xGA

W 1.71 created, 1.01 conceded against Paris FC
W 1.40 created, 1.14 conceded against Lille
W 2.07 created, 0.30 conceded against Auxerre
W 1.13 created, 2.27 conceded against RC Strasbourg
W 4.14 created, 0.66 conceded against Olympique de Marseille
L 3.62 created, 1.36 conceded against Stade Rennais

Metz

0.80 xG created 1.53 xGA

D 0.41 created, 1.44 conceded against Lorient
L 1.08 created, 1.12 conceded against RC Strasbourg
L 1.28 created, 2.55 conceded against Olympique Lyonnais
L 0.45 created, 1.62 conceded against Angers
D 0.63 created, 1.65 conceded against Lille
L 0.93 created, 0.78 conceded against Auxerre

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

Head to head

Paris Saint-Germain: 1 won · 0 drawn · 0 lost

Metz 2:3 Paris Saint-Germain 13/12/2025 xG 0.62 – 1.85

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.