Nice 3:2 Olympique Lyonnais: xG & match report · Ligue 1

Saturday, 18/10/2025 at 17:00

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Match report · Ligue 1

Nice Home 0.60 xG · 5 shots

Olympique Lyonnais Away 3.39 xG · 29 shots

32 The result went against the chances

Goals

5' Melvin Bard Nice · 0.04 xG chance 1–0
29' Pavel Šulc Olympique Lyonnais · 0.12 xG chance 1–1
35' Sofiane Diop Nice · 0.46 xG chance 2–1
55' Hicham Boudaoui Nice · 0.12 xG chance 3–1
90' Pavel Šulc Olympique Lyonnais · 0.51 xG chance 3–2

The shots behind it

Nice Olympique Lyonnais

Shots: 5; 29
On target: 4; 7
Inside the box: 5; 16
xG per shot: 0.15; 0.12
Open play xG: 0.74; 1.48
Set-piece xG: 0.00; 1.17
Penalties: 0; 1

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: 0.74 for Nice and 2.61 for Olympique Lyonnais.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

34 shots · 4.21 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Nice

1.46 xG created 1.95 xGA

W 1.94 created, 1.51 conceded against Auxerre
L 0.63 created, 2.56 conceded against Le Havre
W 1.75 created, 0.75 conceded against Nantes
L 2.33 created, 2.03 conceded against Stade Brestois
D 0.96 created, 1.84 conceded against Paris FC
D 1.15 created, 2.98 conceded against AS Monaco

Olympique Lyonnais

1.68 xG created 1.22 xGA

W 2.77 created, 0.56 conceded against Metz
W 2.27 created, 0.77 conceded against Olympique de Marseille
L 1.71 created, 2.19 conceded against Stade Rennais
W 1.81 created, 1.18 conceded against Angers
W 0.52 created, 1.47 conceded against Lille
L 1.02 created, 1.16 conceded against Toulouse

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

Model details

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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.