Real Madrid 5:1 Real Betis: xG & match report · La Liga

Sunday, 04/01/2026 at 16:15

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Match report · La Liga

Real Madrid Home 2.94 xG · 19 shots

Real Betis Away 1.06 xG · 13 shots

51 The scoreline reflected the chances

Goals

20' Gonzalo García Real Madrid · 0.42 xG chance 1–0
50' Gonzalo García Real Madrid · 0.09 xG chance 2–0
56' Raúl Asencio Real Madrid · 0.20 xG chance 3–0
66' Cucho Hernández Real Betis · 0.50 xG chance 3–1
82' Gonzalo García Real Madrid · 0.70 xG chance 4–1
90' Fran García Real Madrid · 0.53 xG chance 5–1

The shots behind it

Real Madrid Real Betis

Shots: 19; 13
On target: 9; 5
Inside the box: 12; 8
xG per shot: 0.16; 0.08
Open play xG: 1.63; 1.02
Set-piece xG: 1.32; 0.05
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: 2.94 for Real Madrid and 1.06 for Real Betis.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

32 shots · 4.02 xG

Hover, focus or tap a shot to read it.

Real Madrid
Real Betis
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

Real Madrid

2.45 xG created 1.26 xGA

D 3.49 created, 1.44 conceded against Elche
D 2.53 created, 0.79 conceded against Girona FC
W 2.21 created, 0.84 conceded against Athletic Club
L 2.29 created, 1.55 conceded against Celta Vigo
W 1.83 created, 1.36 conceded against Deportivo Alavés
W 2.33 created, 1.56 conceded against Sevilla

Real Betis

1.80 xG created 1.59 xGA

D 1.60 created, 1.94 conceded against Valencia
D 1.45 created, 1.46 conceded against Girona FC
W 1.17 created, 0.37 conceded against Sevilla
L 2.51 created, 2.83 conceded against Barcelona
D 0.76 created, 1.55 conceded against Rayo Vallecano
W 3.31 created, 1.39 conceded against Getafe

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

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.