Rayo Vallecano 3:0 Atlético Madrid: xG & match report · La Liga

Sunday, 15/02/2026 at 16:15

Full time

Match report · La Liga

Rayo Vallecano Home 1.56 xG · 13 shots

Atlético Madrid Away 1.10 xG · 9 shots

30 The scoreline reflected the chances

Goals

40' Fran Pérez Rayo Vallecano · 0.35 xG chance 1–0
45' Óscar Valentín Rayo Vallecano · 0.55 xG chance 2–0
76' Nobel Mendy Rayo Vallecano · 0.14 xG chance 3–0

The shots behind it

Rayo Vallecano Atlético Madrid

Shots: 13; 9
On target: 9; 4
Inside the box: 8; 7
xG per shot: 0.13; 0.13
Open play xG: 1.32; 0.78
Set-piece xG: 0.38; 0.42
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: 1.68 for Rayo Vallecano and 1.17 for Atlético Madrid.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

22 shots · 2.90 xG

Hover, focus or tap a shot to read it.

Rayo Vallecano
Atlético Madrid
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

Rayo Vallecano

1.18 xG created 1.51 xGA

L 0.92 created, 2.40 conceded against Elche
D 0.89 created, 0.77 conceded against Getafe
W 2.37 created, 0.72 conceded against Mallorca
L 1.18 created, 1.87 conceded against Celta Vigo
L 0.78 created, 1.18 conceded against Osasuna
L 0.96 created, 2.14 conceded against Real Madrid

Atlético Madrid

1.14 xG created 0.90 xGA

W 0.90 created, 1.06 conceded against Girona FC
D 1.25 created, 1.73 conceded against Real Sociedad
W 1.63 created, 0.85 conceded against Deportivo Alavés
W 1.48 created, 0.46 conceded against Mallorca
D 0.90 created, 0.37 conceded against Levante UD
L 0.66 created, 0.94 conceded against Real Betis

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

Head to head

Rayo Vallecano: 0 won · 0 drawn · 1 lost

Atlético Madrid 3:2 Rayo Vallecano 24/09/2025 xG 3.61 – 1.60

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.