Osasuna 1:2 Barcelona: xG & match report · La Liga

Saturday, 02/05/2026 at 21:00

Full time

Match report · La Liga

Osasuna Home 0.80 xG · 9 shots

Barcelona Away 1.29 xG · 13 shots

12 The scoreline reflected the chances

Goals

81' Robert Lewandowski Barcelona · 0.27 xG chance 0–1
86' Ferran Torres Barcelona · 0.16 xG chance 0–2
89' Raúl García de Haro Osasuna · 0.40 xG chance 1–2

The shots behind it

Osasuna Barcelona

Shots: 9; 13
On target: 4; 4
Inside the box: 6; 9
xG per shot: 0.10; 0.09
Open play xG: 0.86; 1.01
Set-piece xG: 0.06; 0.17
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: 0.91 for Osasuna and 1.20 for Barcelona.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

22 shots · 2.10 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Osasuna

1.30 xG created 0.93 xGA

L 0.48 created, 1.97 conceded against Real Sociedad
W 1.90 created, 0.22 conceded against Girona FC
D 1.30 created, 2.04 conceded against Deportivo Alavés
D 1.45 created, 0.41 conceded against Real Betis
L 1.21 created, 0.54 conceded against Athletic Club
W 1.43 created, 0.40 conceded against Sevilla

Barcelona

2.14 xG created 1.13 xGA

W 3.36 created, 0.83 conceded against Sevilla
W 1.36 created, 1.83 conceded against Rayo Vallecano
W 2.22 created, 0.92 conceded against Atlético Madrid
W 2.81 created, 1.17 conceded against Espanyol
W 1.23 created, 1.41 conceded against Celta Vigo
W 1.88 created, 0.63 conceded against Getafe

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

Head to head

Osasuna: 0 won · 0 drawn · 1 lost

Barcelona 2:0 Osasuna 13/12/2025 xG 2.41 – 0.37

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.