Cagliari 3:2 Atalanta: xG & match report · Serie A

Monday, 27/04/2026 at 18:30

Full time

Match report · Serie A

Cagliari Home 1.56 xG · 9 shots

Atalanta Away 1.18 xG · 12 shots

32 The scoreline reflected the chances

Goals

1' Paul Mendy Cagliari · 0.49 xG chance 1–0
8' Paul Mendy Cagliari · 0.30 xG chance 2–0
40' Gianluca Scamacca Atalanta · 0.03 xG chance 2–1
45' Gianluca Scamacca Atalanta · 0.13 xG chance 2–2
47' Gennaro Borrelli Cagliari · 0.25 xG chance 3–2

The shots behind it

Cagliari Atalanta

Shots: 9; 12
On target: 4; 6
Inside the box: 7; 11
xG per shot: 0.18; 0.14
Open play xG: 0.92; 0.75
Set-piece xG: 0.68; 0.98
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: 1.58 for Cagliari and 1.72 for Atalanta.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

21 shots · 3.33 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Cagliari

0.89 xG created 1.30 xGA

L 0.47 created, 0.55 conceded against Como
L 1.31 created, 2.47 conceded against Pisa
L 0.35 created, 1.77 conceded against Napoli
L 1.63 created, 0.47 conceded against Sassuolo
W 1.17 created, 0.28 conceded against Cremonese
L 0.41 created, 2.23 conceded against Inter

Atalanta

1.45 xG created 0.91 xGA

D 2.00 created, 0.77 conceded against Udinese
D 1.12 created, 1.58 conceded against Inter
W 1.02 created, 1.11 conceded against Hellas Verona
W 2.20 created, 0.33 conceded against Lecce
L 1.68 created, 0.61 conceded against Juventus
D 0.68 created, 1.07 conceded against Roma

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

Head to head

Cagliari: 0 won · 0 drawn · 1 lost

Atalanta 2:1 Cagliari 13/12/2025 xG 2.60 – 0.54

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.