Osasuna 2:2 Mallorca: xG & match report · La Liga

Saturday, 07/03/2026 at 14:00

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Match report · La Liga

Osasuna Home 2.46 xG · 22 shots

Mallorca Away 1.08 xG · 8 shots

22 Osasuna had the better chances, but it finished level

Goals

35' Vedat Muriqi Mallorca · 0.63 xG chance 0–1
61' Vedat Muriqi Mallorca · 0.12 xG chance 0–2
89' Kike Barja Osasuna · 0.31 xG chance 1–2
90' Ante Budimir Osasuna · 0.14 xG chance 2–2

The shots behind it

Osasuna Mallorca

Shots: 22; 8
On target: 5; 4
Inside the box: 17; 5
xG per shot: 0.11; 0.14
Open play xG: 1.75; 1.09
Set-piece xG: 0.68; 0.00
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: 2.47 for Osasuna and 1.07 for Mallorca.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

30 shots · 3.52 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Osasuna

1.02 xG created 1.54 xGA

W 1.18 created, 0.78 conceded against Rayo Vallecano
D 1.12 created, 0.92 conceded against Villarreal
W 0.66 created, 2.16 conceded against Celta Vigo
D 0.77 created, 2.00 conceded against Elche
W 2.05 created, 1.69 conceded against Real Madrid
L 0.31 created, 1.67 conceded against Valencia

Mallorca

0.93 xG created 1.68 xGA

L 0.46 created, 1.48 conceded against Atlético Madrid
W 2.63 created, 0.84 conceded against Sevilla
L 0.80 created, 2.63 conceded against Barcelona
L 1.01 created, 2.12 conceded against Real Betis
L 0.04 created, 2.58 conceded against Celta Vigo
L 0.66 created, 0.46 conceded against Real Sociedad

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

Head to head

Osasuna: 0 won · 1 drawn · 0 lost

Mallorca 2:2 Osasuna 29/11/2025 xG 1.49 – 1.09

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.