Como 6:0 Torino: xG & match report · Serie A

Saturday, 24/01/2026 at 15:00

Full time

Match report · Serie A

Como Home 2.89 xG · 17 shots

Torino Away 0.48 xG · 7 shots

60 The scoreline reflected the chances

Goals

8' Anastasios Douvikas Como · 0.48 xG chance 1–0
16' Martin Baturina Como · 0.04 xG chance 2–0
59' Lucas Da Cunha (pen.) Como · 0.82 xG chance 3–0
66' Anastasios Douvikas Como · 0.55 xG chance 4–0
70' Nicolas-Gerrit Kühn Como · 0.04 xG chance 5–0
76' Maxence Caqueret Como · 0.06 xG chance 6–0

The shots behind it

Como Torino

Shots: 17; 7
On target: 7; 1
Inside the box: 11; 5
xG per shot: 0.17; 0.07
Open play xG: 2.09; 0.38
Set-piece xG: 0.03; 0.11
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: 2.10 for Como and 0.48 for Torino.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

24 shots · 3.43 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Como

1.69 xG created 0.94 xGA

W 1.63 created, 0.76 conceded against Lecce
W 2.24 created, 0.61 conceded against Udinese
W 1.73 created, 1.56 conceded against Pisa
D 0.84 created, 1.15 conceded against Bologna
L 1.87 created, 1.28 conceded against Milan
W 1.83 created, 0.27 conceded against Lazio

Torino

1.19 xG created 1.32 xGA

W 1.71 created, 0.43 conceded against Sassuolo
L 1.60 created, 0.77 conceded against Cagliari
W 1.55 created, 0.14 conceded against Hellas Verona
L 1.09 created, 2.15 conceded against Udinese
L 0.75 created, 2.61 conceded against Atalanta
L 0.41 created, 1.84 conceded against Roma

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

Head to head

Como: 1 won · 0 drawn · 0 lost

Torino 1:5 Como 24/11/2025 xG 1.40 – 2.85

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.