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

Saturday, 25/10/2025 at 17:00

Full time

Match report · Ligue 1

Stade Brestois Home 1.62 xG · 8 shots

Paris Saint-Germain Away 2.07 xG · 18 shots

03 The scoreline reflected the chances

Goals

29' Achraf Hakimi Paris Saint-Germain · 0.32 xG chance 0–1
39' Achraf Hakimi Paris Saint-Germain · 0.11 xG chance 0–2
90' Désiré Doué Paris Saint-Germain · 0.49 xG chance 0–3

The shots behind it

Stade Brestois Paris Saint-Germain

Shots: 8; 18
On target: 2; 8
Inside the box: 4; 9
xG per shot: 0.20; 0.12
Open play xG: 0.77; 1.81
Set-piece xG: 0.04; 0.32
Penalties: 1; 0

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: 0.83 for Stade Brestois and 2.08 for Paris Saint-Germain.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

26 shots · 3.76 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Stade Brestois

1.72 xG created 1.62 xGA

L 1.08 created, 3.99 conceded against RC Lens
L 2.57 created, 1.55 conceded against Paris FC
W 2.03 created, 2.33 conceded against Nice
W 1.56 created, 0.48 conceded against Angers
D 1.51 created, 0.15 conceded against Nantes
D 1.59 created, 1.20 conceded against Lorient

Paris Saint-Germain

1.72 xG created 1.33 xGA

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
D 2.67 created, 2.15 conceded against RC Strasbourg

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

Model details

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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.