AS Monaco 4:0 Stade Rennais: xG & match report · Ligue 1

Saturday, 31/01/2026 at 21:05

Full time

Match report · Ligue 1

AS Monaco Home 2.12 xG · 14 shots

Stade Rennais Away 0.38 xG · 8 shots

40 The scoreline reflected the chances

Goals

33' Ansu Fati AS Monaco · 0.13 xG chance 1–0
50' Maghnes Akliouche AS Monaco · 0.85 xG chance 2–0
59' Mamadou Coulibaly AS Monaco · 0.36 xG chance 3–0
89' Stanis Idumbo Muzambo AS Monaco · 0.16 xG chance 4–0

The shots behind it

AS Monaco Stade Rennais

Shots: 14; 8
On target: 6; 4
Inside the box: 14; 7
xG per shot: 0.15; 0.05
Open play xG: 1.98; 0.38
Set-piece xG: 0.09; 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: 2.12 for AS Monaco.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

22 shots · 2.45 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

AS Monaco

0.95 xG created 1.27 xGA

W 0.52 created, 1.33 conceded against Paris Saint-Germain
L 0.60 created, 1.53 conceded against Stade Brestois
L 2.21 created, 1.79 conceded against Olympique de Marseille
L 0.69 created, 1.40 conceded against Olympique Lyonnais
L 1.25 created, 1.38 conceded against Lorient
D 0.43 created, 0.21 conceded against Le Havre

Stade Rennais

1.54 xG created 1.16 xGA

W 0.78 created, 1.02 conceded against Metz
L 0.24 created, 2.23 conceded against Paris Saint-Germain
W 2.23 created, 0.82 conceded against Stade Brestois
W 1.57 created, 0.85 conceded against Lille
D 2.61 created, 0.75 conceded against Le Havre
L 1.83 created, 1.30 conceded against Lorient

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

Head to head

AS Monaco: 0 won · 0 drawn · 1 lost

Stade Rennais 4:1 AS Monaco 22/11/2025 xG 3.69 – 1.33

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.