Toulouse 2:2 AS Monaco: xG & match report · Ligue 1

Saturday, 25/04/2026 at 21:05

Full time

Match report · Ligue 1

Toulouse Home 1.75 xG · 18 shots

AS Monaco Away 0.74 xG · 8 shots

22 Toulouse had the better chances, but it finished level

Goals

6' Jordan Teze AS Monaco · 0.22 xG chance 0–1
18' Lamine Camara AS Monaco · 0.06 xG chance 0–2
61' Jacen Russell Rowe Toulouse · 0.40 xG chance 1–2
90' Emersonn Toulouse · 0.26 xG chance 2–2

The shots behind it

Toulouse AS Monaco

Shots: 18; 8
On target: 5; 5
Inside the box: 10; 5
xG per shot: 0.09; 0.12
Open play xG: 1.43; 0.72
Set-piece xG: 0.22; 0.22
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: 1.65 for Toulouse and 0.96 for AS Monaco.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

26 shots · 2.59 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Toulouse

0.85 xG created 1.83 xGA

L 0.98 created, 1.09 conceded against Olympique de Marseille
W 1.42 created, 1.65 conceded against Metz
W 1.15 created, 0.40 conceded against Lorient
L 0.16 created, 1.79 conceded against Paris Saint-Germain
L 0.96 created, 2.31 conceded against Lille
L 0.41 created, 3.76 conceded against RC Lens

AS Monaco

2.02 xG created 1.54 xGA

W 1.34 created, 1.09 conceded against Paris Saint-Germain
W 2.36 created, 1.41 conceded against Stade Brestois
W 2.68 created, 1.35 conceded against Olympique Lyonnais
W 1.17 created, 2.11 conceded against Olympique de Marseille
L 2.31 created, 2.61 conceded against Paris FC
D 2.24 created, 0.65 conceded against Auxerre

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

Head to head

Toulouse: 0 won · 0 drawn · 1 lost

AS Monaco 1:0 Toulouse 25/10/2025 xG 3.08 – 0.68

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.