Udinese 2:2 Pisa: xG & match report · Serie A

Saturday, 10/01/2026 at 15:00

Full time

Match report · Serie A

Udinese Home 2.23 xG · 11 shots

Pisa Away 1.48 xG · 14 shots

22 Udinese had the better chances, but it finished level

Goals

13' Matteo Tramoni Pisa · 0.03 xG chance 0–1
19' Christian Kabasele Udinese · 0.46 xG chance 1–1
40' Keinan Davis (pen.) Udinese · 0.82 xG chance 2–1
67' Henrik Wendel Meister Pisa · 0.85 xG chance 2–2

The shots behind it

Udinese Pisa

Shots: 11; 14
On target: 2; 7
Inside the box: 6; 12
xG per shot: 0.21; 0.13
Open play xG: 0.91; 1.62
Set-piece xG: 0.55; 0.15
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: 1.44 for Udinese and 1.80 for Pisa.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

25 shots · 4.05 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Udinese

1.13 xG created 1.60 xGA

L 1.17 created, 1.57 conceded against Genoa
W 1.31 created, 0.93 conceded against Napoli
L 0.64 created, 3.20 conceded against Fiorentina
D 0.87 created, 0.54 conceded against Lazio
L 0.61 created, 2.24 conceded against Como
W 2.15 created, 1.09 conceded against Torino

Pisa

1.19 xG created 1.47 xGA

L 1.52 created, 1.18 conceded against Parma
L 0.22 created, 2.20 conceded against Lecce
D 2.54 created, 1.43 conceded against Cagliari
L 0.65 created, 1.74 conceded against Juventus
D 0.62 created, 0.54 conceded against Genoa
L 1.56 created, 1.73 conceded against Como

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

Head to head

Udinese: 1 won · 0 drawn · 0 lost

Pisa 0:1 Udinese 14/09/2025 xG 0.53 – 1.00

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.