Metz 2:5 Olympique Lyonnais: xG & match report · Ligue 1

Sunday, 25/01/2026 at 17:15

Full time

Match report · Ligue 1

Metz Home 1.28 xG · 15 shots

Olympique Lyonnais Away 2.55 xG · 13 shots

25 The scoreline reflected the chances

Goals

11' Endrick Olympique Lyonnais · 0.27 xG chance 0–1
16' Ruben Kluivert Olympique Lyonnais · 0.22 xG chance 0–2
32' Tyler Morton Olympique Lyonnais · 0.05 xG chance 0–3
34' Koffi Kouao Metz · 0.39 xG chance 1–3
45' Endrick Olympique Lyonnais · 0.42 xG chance 1–4
64' Habibou Diallo Metz · 0.36 xG chance 2–4
87' Endrick (pen.) Olympique Lyonnais · 0.82 xG chance 2–5

The shots behind it

Metz Olympique Lyonnais

Shots: 15; 13
On target: 6; 10
Inside the box: 7; 10
xG per shot: 0.09; 0.20
Open play xG: 1.18; 1.26
Set-piece xG: 0.13; 0.53
Penalties: 0; 1

Metz's shots add up to 1.31 xG and Olympique Lyonnais's to 2.61; the published figures are 1.28 and 2.55.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

28 shots · 3.92 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Metz

0.79 xG created 1.71 xGA

L 1.05 created, 3.11 conceded against Stade Brestois
L 1.02 created, 0.78 conceded against Stade Rennais
L 0.55 created, 1.94 conceded against Auxerre
L 0.62 created, 1.85 conceded against Paris Saint-Germain
D 0.41 created, 1.44 conceded against Lorient
L 1.08 created, 1.12 conceded against RC Strasbourg

Olympique Lyonnais

1.64 xG created 1.37 xGA

D 1.57 created, 2.07 conceded against Auxerre
W 2.35 created, 0.86 conceded against Nantes
L 0.43 created, 2.57 conceded against Lorient
W 2.56 created, 1.31 conceded against Le Havre
W 1.40 created, 0.69 conceded against AS Monaco
W 1.53 created, 0.69 conceded against Stade Brestois

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

Head to head

Metz: 0 won · 0 drawn · 1 lost

Olympique Lyonnais 3:0 Metz 23/08/2025 xG 2.77 – 0.56

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.