AS Monaco 2:0 Stade Brestois: xG & match report · Ligue 1

Saturday, 14/03/2026 at 21:05

Full time

Match report · Ligue 1

AS Monaco Home 2.36 xG · 10 shots

Stade Brestois Away 1.41 xG · 12 shots

20 The scoreline reflected the chances

Goals

19' Folarin Balogun AS Monaco · 0.40 xG chance 1–0
78' Aleksandr Golovin AS Monaco · 0.24 xG chance 2–0

The shots behind it

AS Monaco Stade Brestois

Shots: 10; 12
On target: 4; 1
Inside the box: 9; 9
xG per shot: 0.24; 0.12
Open play xG: 1.78; 0.46
Set-piece xG: 0.66; 0.92
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: 2.40 for AS Monaco and 1.41 for Stade Brestois.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

22 shots · 3.82 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

AS Monaco

1.51 xG created 0.87 xGA

W 2.12 created, 0.38 conceded against Stade Rennais
D 0.61 created, 0.50 conceded against Nice
W 1.53 created, 0.93 conceded against Nantes
W 1.95 created, 1.60 conceded against RC Lens
W 1.51 created, 0.74 conceded against Angers
W 1.34 created, 1.09 conceded against Paris Saint-Germain

Stade Brestois

1.20 xG created 1.22 xGA

D 1.69 created, 1.35 conceded against Nice
W 1.71 created, 0.77 conceded against Lorient
D 0.68 created, 1.54 conceded against Lille
W 1.13 created, 1.42 conceded against Olympique de Marseille
W 0.87 created, 1.27 conceded against Metz
W 1.09 created, 0.94 conceded against Le Havre

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

Head to head

AS Monaco: 0 won · 0 drawn · 1 lost

Stade Brestois 1:0 AS Monaco 05/12/2025 xG 1.53 – 0.60

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.