Paris FC 4:0 Stade Brestois: xG & match report · Ligue 1

Sunday, 03/05/2026 at 17:15

Full time

Match report · Ligue 1

Paris FC Home 1.86 xG · 17 shots

Stade Brestois Away 0.79 xG · 10 shots

40 The scoreline reflected the chances

Goals

13' Rudy Matondo Paris FC · 0.17 xG chance 1–0
20' Willem Geubbels Paris FC · 0.28 xG chance 2–0
67' Rudy Matondo Paris FC · 0.36 xG chance 3–0
89' Luca Koleosho Paris FC · 0.36 xG chance 4–0

The shots behind it

Paris FC Stade Brestois

Shots: 17; 10
On target: 8; 1
Inside the box: 11; 5
xG per shot: 0.10; 0.08
Open play xG: 0.97; 0.66
Set-piece xG: 0.77; 0.12
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: 1.80 for Paris FC and 0.77 for Stade Brestois.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

27 shots · 2.52 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Paris FC

1.49 xG created 1.60 xGA

D 0.52 created, 1.18 conceded against RC Strasbourg
W 1.94 created, 2.18 conceded against Le Havre
D 1.04 created, 1.18 conceded against Lorient
W 2.61 created, 2.31 conceded against AS Monaco
W 1.74 created, 1.01 conceded against Metz
L 1.06 created, 1.71 conceded against Lille

Stade Brestois

0.88 xG created 1.85 xGA

W 1.09 created, 0.94 conceded against Le Havre
L 1.41 created, 2.36 conceded against AS Monaco
L 0.91 created, 1.22 conceded against Auxerre
L 1.22 created, 2.89 conceded against Stade Rennais
D 0.42 created, 0.92 conceded against Nantes
D 0.25 created, 2.76 conceded against RC Lens

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

Head to head

Paris FC: 1 won · 0 drawn · 0 lost

Stade Brestois 1:2 Paris FC 14/09/2025 xG 2.57 – 1.55

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.