Toulouse 2:1 Olympique Lyonnais: xG & match report · Ligue 1

Sunday, 10/05/2026 at 21:00

Full time

Match report · Ligue 1

Toulouse Home 1.13 xG · 14 shots

Olympique Lyonnais Away 1.54 xG · 18 shots

21 The result went against the chances

Goals

10' Dayann Methalie Toulouse · 0.10 xG chance 1–0
71' Corentin Tolisso Olympique Lyonnais · 0.21 xG chance 1–1
78' Waren Kamanzi Toulouse · 0.22 xG chance 2–1

The shots behind it

Toulouse Olympique Lyonnais

Shots: 14; 18
On target: 6; 3
Inside the box: 10; 13
xG per shot: 0.08; 0.08
Open play xG: 0.82; 1.15
Set-piece xG: 0.30; 0.34
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: 1.11 for Toulouse and 1.51 for Olympique Lyonnais.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

32 shots · 2.61 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Toulouse

0.97 xG created 1.57 xGA

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
D 1.75 created, 0.74 conceded against AS Monaco
W 1.36 created, 0.41 conceded against RC Strasbourg

Olympique Lyonnais

1.52 xG created 1.55 xGA

L 1.35 created, 2.68 conceded against AS Monaco
D 0.70 created, 0.29 conceded against Angers
W 1.16 created, 1.87 conceded against Lorient
W 0.62 created, 3.12 conceded against Paris Saint-Germain
W 2.12 created, 0.52 conceded against Auxerre
W 3.17 created, 0.84 conceded against Stade Rennais

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

Head to head

Toulouse: 1 won · 0 drawn · 0 lost

Olympique Lyonnais 1:2 Toulouse 05/10/2025 xG 1.02 – 1.16

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.