Villarreal 3:1 Deportivo Alavés: xG & match report · La Liga

Saturday, 10/01/2026 at 16:15

Full time

Match report · La Liga

Villarreal Home 1.50 xG · 11 shots

Deportivo Alavés Away 0.94 xG · 16 shots

31 The scoreline reflected the chances

Goals

49' Alberto Moleiro Villarreal · 0.04 xG chance 1–0
55' Gerard Moreno Villarreal · 0.11 xG chance 2–0
75' Georges Mikautadze Villarreal · 0.49 xG chance 3–0
85' Toni Martínez Deportivo Alavés · 0.06 xG chance 3–1

The shots behind it

Villarreal Deportivo Alavés

Shots: 11; 16
On target: 4; 5
Inside the box: 9; 8
xG per shot: 0.14; 0.06
Open play xG: 1.52; 0.81
Set-piece xG: 0.01; 0.16
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: 1.53 for Villarreal and 0.94 for Deportivo Alavés.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

27 shots · 2.50 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Villarreal

1.52 xG created 1.13 xGA

W 1.61 created, 0.50 conceded against Espanyol
W 2.23 created, 1.02 conceded against Mallorca
W 1.51 created, 1.02 conceded against Real Sociedad
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

Deportivo Alavés

1.18 xG created 1.81 xGA

L 0.67 created, 1.37 conceded against Celta Vigo
L 1.59 created, 2.24 conceded against Barcelona
W 1.39 created, 1.17 conceded against Real Sociedad
L 1.36 created, 1.83 conceded against Real Madrid
L 0.57 created, 2.21 conceded against Osasuna
D 1.50 created, 2.04 conceded against Real Oviedo

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

Model details

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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.