Sassuolo 2:3 Lecce: xG & match report · Serie A

Sunday, 17/05/2026 at 20:45

Full time

Match report · Serie A

Sassuolo Home 2.45 xG · 15 shots

Lecce Away 1.26 xG · 11 shots

23 The result went against the chances

Goals

14' Walid Cheddira Lecce · 0.17 xG chance 0–1
20' Armand Laurienté Sassuolo · 0.29 xG chance 1–1
25' Walid Cheddira Lecce · 0.06 xG chance 1–2
82' Andrea Pinamonti Sassuolo · 0.52 xG chance 2–2
90' Nikola Štulić Lecce · 0.23 xG chance 2–3

The shots behind it

Sassuolo Lecce

Shots: 15; 11
On target: 6; 6
Inside the box: 12; 9
xG per shot: 0.14; 0.08
Open play xG: 1.86; 0.80
Set-piece xG: 0.22; 0.08
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: 2.02 for Sassuolo and 0.86 for Lecce.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

26 shots · 2.96 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Sassuolo

1.30 xG created 1.47 xGA

W 0.47 created, 1.63 conceded against Cagliari
L 1.24 created, 1.18 conceded against Genoa
W 1.38 created, 0.59 conceded against Como
D 0.88 created, 1.94 conceded against Fiorentina
W 1.58 created, 0.24 conceded against Milan
L 2.24 created, 3.26 conceded against Torino

Lecce

0.72 xG created 1.72 xGA

L 0.33 created, 2.20 conceded against Atalanta
L 0.32 created, 2.16 conceded against Bologna
D 1.26 created, 1.14 conceded against Fiorentina
D 0.66 created, 0.32 conceded against Hellas Verona
W 0.88 created, 2.23 conceded against Pisa
L 0.88 created, 2.29 conceded against Juventus

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

Head to head

Sassuolo: 0 won · 1 drawn · 0 lost

Lecce 0:0 Sassuolo 18/10/2025 xG 0.70 – 0.39

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.