Auxerre 3:4 Lille: xG & match report · Ligue 1

Sunday, 14/12/2025 at 17:15

Full time

Match report · Ligue 1

Auxerre Home 2.97 xG · 19 shots

Lille Away 0.52 xG · 8 shots

34 The result went against the chances

Goals

9' Hakon Arnar Haraldsson Lille · 0.16 xG chance 0–1
57' Lassine Sinayoko Auxerre · 0.08 xG chance 1–1
66' Chancel Mbemba (o.g.) Auxerre · 0.10 xG chance 2–1
77' Nabil Bentaleb Lille · 0.02 xG chance 2–2
80' Soriba Diaoune Lille · 0.07 xG chance 2–3
83' Lassine Sinayoko (pen.) Auxerre · 0.82 xG chance 3–3
86' Benjamin André Lille · 0.05 xG chance 3–4

The shots behind it

Auxerre Lille

Shots: 19; 8
On target: 9; 5
Inside the box: 13; 4
xG per shot: 0.16; 0.06
Open play xG: 0.88; 0.39
Set-piece xG: 1.32; 0.10
Penalties: 1; 0

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: 2.18 for Auxerre and 0.53 for Lille.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

27 shots · 3.51 xG

Hover, focus or tap a shot to read it.

Auxerre
Lille
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

Auxerre

1.24 xG created 1.53 xGA

L 0.43 created, 4.06 conceded against RC Strasbourg
L 1.17 created, 0.52 conceded against Olympique de Marseille
L 0.70 created, 0.66 conceded against Angers
D 2.07 created, 1.57 conceded against Olympique Lyonnais
D 1.11 created, 1.80 conceded against Paris FC
W 1.94 created, 0.55 conceded against Metz

Lille

1.55 xG created 1.07 xGA

L 0.99 created, 1.77 conceded against Nice
W 2.04 created, 0.36 conceded against Angers
L 0.28 created, 1.07 conceded against RC Strasbourg
W 4.03 created, 1.52 conceded against Paris FC
W 1.62 created, 1.18 conceded against Le Havre
W 0.35 created, 0.53 conceded against Olympique de Marseille

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

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.