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

Sunday, 24/05/2026 at 20:45

Full time

Match report · Serie A

Cremonese Home 1.06 xG · 6 shots

Como Away 2.47 xG · 15 shots

14 The scoreline reflected the chances

Goals

36' Jesús Rodriguez Como · 0.08 xG chance 0–1
51' Anastasios Douvikas Como · 0.53 xG chance 0–2
55' Federico Bonazzoli (pen.) Cremonese · 0.82 xG chance 1–2
74' Lucas Da Cunha (pen.) Como · 0.82 xG chance 1–3
81' Lucas Da Cunha Como · 0.02 xG chance 1–4

The shots behind it

Cremonese Como

Shots: 6; 15
On target: 1; 6
Inside the box: 4; 12
xG per shot: 0.18; 0.16
Open play xG: 0.20; 1.45
Set-piece xG: 0.06; 0.10
Penalties: 1; 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: 0.27 for Cremonese and 1.61 for Como.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

21 shots · 3.45 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Cremonese

0.59 xG created 0.94 xGA

L 0.28 created, 1.17 conceded against Cagliari
D 0.64 created, 0.14 conceded against Torino
L 0.28 created, 3.16 conceded against Napoli
L 0.55 created, 0.80 conceded against Lazio
W 1.32 created, 0.00 conceded against Pisa
W 0.45 created, 0.35 conceded against Udinese

Como

1.70 xG created 0.84 xGA

L 3.12 created, 0.88 conceded against Inter
L 0.59 created, 1.38 conceded against Sassuolo
W 1.06 created, 0.59 conceded against Genoa
D 1.79 created, 0.66 conceded against Napoli
W 0.85 created, 1.07 conceded against Hellas Verona
W 2.77 created, 0.43 conceded against Parma

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

Head to head

Cremonese: 0 won · 1 drawn · 0 lost

Como 1:1 Cremonese 27/09/2025 xG 1.30 – 0.45

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.