RC Lens 3:1 Stade Rennais: xG & match report · Ligue 1

Saturday, 07/02/2026 at 17:00

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Match report · Ligue 1

RC Lens Home 1.18 xG · 10 shots

Stade Rennais Away 1.38 xG · 14 shots

31 The chances were evenly matched

Goals

8' Esteban Lepaul Stade Rennais · 0.52 xG chance 0–1
41' Odsonne Édouard RC Lens · 0.37 xG chance 1–1
54' Ruben Aguilar RC Lens · 0.24 xG chance 2–1
78' Allan Saint-Maximin RC Lens · 0.06 xG chance 3–1

The shots behind it

RC Lens Stade Rennais

Shots: 10; 14
On target: 3; 1
Inside the box: 6; 9
xG per shot: 0.12; 0.10
Open play xG: 1.19; 1.11
Set-piece xG: 0.02; 0.24
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: 1.18 for RC Lens and 1.35 for Stade Rennais.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

24 shots · 2.56 xG

Hover, focus or tap a shot to read it.

RC Lens
Stade Rennais
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

RC Lens

1.88 xG created 0.75 xGA

W 2.30 created, 1.19 conceded against Nantes
W 1.65 created, 0.76 conceded against Nice
W 1.62 created, 0.66 conceded against Toulouse
W 2.66 created, 0.55 conceded against Auxerre
L 0.91 created, 0.88 conceded against Olympique de Marseille
W 2.14 created, 0.47 conceded against Le Havre

Stade Rennais

1.48 xG created 1.35 xGA

L 0.24 created, 2.23 conceded against Paris Saint-Germain
W 2.23 created, 0.82 conceded against Stade Brestois
W 1.57 created, 0.85 conceded against Lille
D 2.61 created, 0.75 conceded against Le Havre
L 1.83 created, 1.30 conceded against Lorient
L 0.38 created, 2.12 conceded against AS Monaco

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

Head to head

RC Lens: 0 won · 1 drawn · 0 lost

Stade Rennais 0:0 RC Lens 28/09/2025 xG 1.19 – 1.04

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.