Milan 3:2 Torino: xG & match report · Serie A

Saturday, 21/03/2026 at 18:00

Full time

Match report · Serie A

Milan Home 1.43 xG · 15 shots

Torino Away 2.22 xG · 18 shots

32 The result went against the chances

Goals

37' Strahinja Pavlović Milan · 0.02 xG chance 1–0
44' Giovanni Simeone Torino · 0.36 xG chance 1–1
54' Adrien Rabiot Milan · 0.70 xG chance 2–1
55' Youssouf Fofana Milan · 0.16 xG chance 3–1
83' Nikola Vlašić (pen.) Torino · 0.82 xG chance 3–2

The shots behind it

Milan Torino

Shots: 15; 18
On target: 6; 7
Inside the box: 9; 12
xG per shot: 0.09; 0.13
Open play xG: 1.27; 1.18
Set-piece xG: 0.10; 0.26
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: 1.43 for Milan and 1.44 for Torino.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

33 shots · 3.63 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Milan

1.65 xG created 0.89 xGA

W 2.35 created, 0.77 conceded against Pisa
D 0.76 created, 1.45 conceded against Como
L 1.33 created, 0.46 conceded against Parma
W 3.51 created, 0.99 conceded against Cremonese
W 0.77 created, 1.24 conceded against Inter
L 1.19 created, 0.41 conceded against Lazio

Torino

0.83 xG created 1.25 xGA

D 0.88 created, 1.58 conceded against Fiorentina
L 0.49 created, 1.35 conceded against Bologna
L 0.57 created, 1.80 conceded against Genoa
W 0.69 created, 0.94 conceded against Lazio
L 0.37 created, 1.24 conceded against Napoli
W 1.95 created, 0.56 conceded against Parma

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

Head to head

Milan: 1 won · 0 drawn · 0 lost

Torino 2:3 Milan 08/12/2025 xG 1.03 – 1.67

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.