Lazio 3:2 Genoa: xG & match report · Serie A

Friday, 30/01/2026 at 20:45

Full time

Match report · Serie A

Lazio Home 2.00 xG · 14 shots

Genoa Away 1.58 xG · 16 shots

32 The scoreline reflected the chances

Goals

56' Pedro (pen.) Lazio · 0.82 xG chance 1–0
62' Kenneth Taylor Lazio · 0.11 xG chance 2–0
67' Ruslan Malinovskyi (pen.) Genoa · 0.82 xG chance 2–1
75' Vitinha Genoa · 0.11 xG chance 2–2
90' Danilo Cataldi (pen.) Lazio · 0.82 xG chance 3–2

The shots behind it

Lazio Genoa

Shots: 14; 16
On target: 4; 4
Inside the box: 7; 9
xG per shot: 0.15; 0.10
Open play xG: 0.39; 0.53
Set-piece xG: 0.03; 0.26
Penalties: 2; 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: 0.43 for Lazio and 0.79 for Genoa.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

30 shots · 3.67 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Lazio

0.87 xG created 1.22 xGA

D 0.54 created, 0.87 conceded against Udinese
L 0.36 created, 1.86 conceded against Napoli
D 2.74 created, 1.64 conceded against Fiorentina
W 0.90 created, 0.53 conceded against Hellas Verona
L 0.27 created, 1.83 conceded against Como
D 0.39 created, 0.56 conceded against Lecce

Genoa

0.87 xG created 1.10 xGA

L 0.71 created, 1.37 conceded against Roma
D 0.54 created, 0.62 conceded against Pisa
D 1.32 created, 2.45 conceded against Milan
W 1.08 created, 1.26 conceded against Cagliari
D 1.04 created, 0.41 conceded against Parma
W 0.54 created, 0.50 conceded against Bologna

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

Head to head

Lazio: 1 won · 0 drawn · 0 lost

Genoa 0:3 Lazio 29/09/2025 xG 1.63 – 1.07

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.