RC Strasbourg 1:2 Toulouse: xG & match report · Ligue 1

Sunday, 03/05/2026 at 17:15

Full time

Match report · Ligue 1

RC Strasbourg Home 0.41 xG · 9 shots

Toulouse Away 1.36 xG · 16 shots

12 The scoreline reflected the chances

Goals

27' Samuel Amo-Ameyaw RC Strasbourg · 0.07 xG chance 1–0
43' Dayann Methalie Toulouse · 0.20 xG chance 1–1
84' Emersonn Toulouse · 0.31 xG chance 1–2

The shots behind it

RC Strasbourg Toulouse

Shots: 9; 16
On target: 4; 6
Inside the box: 5; 7
xG per shot: 0.04; 0.07
Open play xG: 0.26; 1.04
Set-piece xG: 0.07; 0.14
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: 0.32 for RC Strasbourg and 1.17 for Toulouse.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

25 shots · 1.51 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

RC Strasbourg

1.44 xG created 1.63 xGA

D 0.74 created, 0.73 conceded against Auxerre
D 1.18 created, 0.52 conceded against Paris FC
W 2.12 created, 1.67 conceded against Nantes
W 2.26 created, 0.32 conceded against Nice
L 1.00 created, 4.25 conceded against Stade Rennais
W 1.34 created, 2.28 conceded against Lorient

Toulouse

0.98 xG created 1.78 xGA

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
D 1.75 created, 0.74 conceded against AS Monaco

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

Head to head

RC Strasbourg: 0 won · 0 drawn · 1 lost

Toulouse 1:0 RC Strasbourg 06/12/2025 xG 0.50 – 0.05

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.