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

Saturday, 31/01/2026 at 16:15

Full time

Match report · La Liga

Osasuna Home 1.12 xG · 15 shots

Villarreal Away 0.92 xG · 5 shots

22 The chances were evenly matched

Goals

17' Gerard Moreno (pen.) Villarreal · 0.82 xG chance 0–1
20' Víctor Muñoz Osasuna · 0.18 xG chance 1–1
45' Ante Budimir Osasuna · 0.15 xG chance 2–1
70' Gerard Moreno Villarreal · 0.04 xG chance 2–2

The shots behind it

Osasuna Villarreal

Shots: 15; 5
On target: 5; 4
Inside the box: 13; 3
xG per shot: 0.08; 0.19
Open play xG: 0.94; 0.04
Set-piece xG: 0.21; 0.09
Penalties: 0; 1

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: 1.13 for Osasuna and 0.13 for Villarreal.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

20 shots · 2.10 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Osasuna

1.20 xG created 1.20 xGA

L 0.37 created, 2.41 conceded against Barcelona
W 2.21 created, 0.57 conceded against Deportivo Alavés
D 0.67 created, 1.46 conceded against Athletic Club
L 1.41 created, 0.65 conceded against Girona FC
W 1.37 created, 1.34 conceded against Real Oviedo
W 1.18 created, 0.78 conceded against Rayo Vallecano

Villarreal

1.14 xG created 1.33 xGA

W 0.61 created, 0.22 conceded against Getafe
L 1.66 created, 2.72 conceded against Barcelona
W 1.52 created, 1.31 conceded against Elche
W 1.50 created, 0.94 conceded against Deportivo Alavés
L 0.99 created, 1.22 conceded against Real Betis
L 0.58 created, 1.58 conceded against Real Madrid

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

Head to head

Osasuna: 0 won · 0 drawn · 1 lost

Villarreal 2:1 Osasuna 20/09/2025 xG 2.55 – 1.80

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.