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

Saturday, 02/05/2026 at 19:00

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Match report · Ligue 1

Metz Home 1.22 xG · 13 shots

AS Monaco Away 1.25 xG · 15 shots

12 The chances were evenly matched

Goals

49' Jessy Deminguet Metz · 0.02 xG chance 1–0
61' Folarin Balogun AS Monaco · 0.04 xG chance 1–1
90' Ansu Fati AS Monaco · 0.17 xG chance 1–2

The shots behind it

Metz AS Monaco

Shots: 13; 15
On target: 1; 3
Inside the box: 10; 9
xG per shot: 0.08; 0.07
Open play xG: 0.87; 0.77
Set-piece xG: 0.14; 0.26
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: 1.03 for Metz and 1.05 for AS Monaco.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

28 shots · 2.04 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Metz

1.23 xG created 1.78 xGA

L 1.65 created, 1.42 conceded against Toulouse
D 0.33 created, 1.52 conceded against Stade Rennais
D 2.31 created, 0.46 conceded against Nantes
L 0.48 created, 3.55 conceded against Olympique de Marseille
L 1.01 created, 1.74 conceded against Paris FC
D 1.58 created, 1.99 conceded against Le Havre

AS Monaco

1.92 xG created 1.65 xGA

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
D 0.74 created, 1.75 conceded against Toulouse

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

Head to head

Metz: 0 won · 0 drawn · 1 lost

AS Monaco 5:2 Metz 21/09/2025 xG 3.50 – 2.16

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.