Cremonese 1:4 Fiorentina: xG & match report · Serie A

Monday, 16/03/2026 at 20:45

Full time

Match report · Serie A

Cremonese Home 1.44 xG · 13 shots

Fiorentina Away 1.79 xG · 13 shots

14 The scoreline reflected the chances

Goals

25' Fabiano Parisi Fiorentina · 0.04 xG chance 0–1
32' Roberto Piccoli Fiorentina · 0.41 xG chance 0–2
49' Dodô Fiorentina · 0.86 xG chance 0–3
57' David Okereke Cremonese · 0.30 xG chance 1–3
70' Albert Guðmundsson Fiorentina · 0.11 xG chance 1–4

The shots behind it

Cremonese Fiorentina

Shots: 13; 13
On target: 3; 6
Inside the box: 10; 9
xG per shot: 0.11; 0.14
Open play xG: 1.07; 1.73
Set-piece xG: 0.40; 0.10
Penalties: —; —

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: 1.44 for Cremonese and 1.79 for Fiorentina.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

26 shots · 3.30 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Cremonese

0.93 xG created 1.97 xGA

L 0.60 created, 1.34 conceded against Inter
L 0.62 created, 2.11 conceded against Atalanta
D 2.36 created, 1.25 conceded against Genoa
L 0.07 created, 2.00 conceded against Roma
L 0.99 created, 3.51 conceded against Milan
L 0.96 created, 1.60 conceded against Lecce

Fiorentina

1.38 xG created 0.95 xGA

L 1.36 created, 1.80 conceded against Napoli
D 1.58 created, 0.88 conceded against Torino
W 1.53 created, 0.84 conceded against Como
W 1.84 created, 0.28 conceded against Pisa
L 0.66 created, 1.65 conceded against Udinese
D 1.30 created, 0.25 conceded against Parma

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

Head to head

Cremonese: 0 won · 0 drawn · 1 lost

Fiorentina 1:0 Cremonese 04/01/2026 xG 2.06 – 0.73

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.