Sassuolo 3:0 Hellas Verona: xG & match report · Serie A

Friday, 20/02/2026 at 20:45

Full time

Match report · Serie A

Sassuolo Home 2.00 xG · 8 shots

Hellas Verona Away 0.65 xG · 12 shots

30 The scoreline reflected the chances

Goals

40' Andrea Pinamonti Sassuolo · 0.16 xG chance 1–0
44' Domenico Berardi Sassuolo · 0.78 xG chance 2–0
62' Domenico Berardi Sassuolo · 0.40 xG chance 3–0

The shots behind it

Sassuolo Hellas Verona

Shots: 8; 12
On target: 4; 1
Inside the box: 7; 8
xG per shot: 0.33; 0.05
Open play xG: 0.88; 0.57
Set-piece xG: 0.91; 0.05
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: 1.80 for Sassuolo and 0.65 for Hellas Verona.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

20 shots · 3.23 xG

Hover, focus or tap a shot to read it.

Sassuolo
Hellas Verona
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

Sassuolo

1.09 xG created 1.28 xGA

L 0.74 created, 2.54 conceded against Roma
L 0.91 created, 0.58 conceded against Napoli
W 1.10 created, 0.65 conceded against Cremonese
W 1.63 created, 0.79 conceded against Pisa
L 0.78 created, 2.59 conceded against Inter
W 1.37 created, 0.54 conceded against Udinese

Hellas Verona

0.67 xG created 1.23 xGA

L 1.20 created, 0.79 conceded against Bologna
D 0.51 created, 0.73 conceded against Cremonese
L 0.88 created, 1.67 conceded against Udinese
L 0.46 created, 1.68 conceded against Cagliari
D 0.06 created, 0.82 conceded against Pisa
L 0.91 created, 1.71 conceded against Parma

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

Head to head

Sassuolo: 1 won · 0 drawn · 0 lost

Hellas Verona 0:1 Sassuolo 03/10/2025 xG 0.80 – 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.