Rayo Vallecano 1:1 Levante UD: xG & match report · La Liga

Monday, 16/03/2026 at 21:00

Full time

Match report · La Liga

Rayo Vallecano Home 1.73 xG · 18 shots

Levante UD Away 1.24 xG · 19 shots

11 Rayo Vallecano had the better chances, but it finished level

Goals

41' Carlos Espí Levante UD · 0.02 xG chance 0–1
90' Pathé Ismaël Ciss Rayo Vallecano · 0.75 xG chance 1–1

The shots behind it

Rayo Vallecano Levante UD

Shots: 18; 19
On target: 4; 5
Inside the box: 10; 14
xG per shot: 0.10; 0.06
Open play xG: 1.65; 0.89
Set-piece xG: 0.11; 0.32
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: 1.73 for Rayo Vallecano and 1.24 for Levante UD.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

37 shots · 2.97 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Rayo Vallecano

1.24 xG created 1.28 xGA

L 0.96 created, 2.14 conceded against Real Madrid
W 1.56 created, 1.10 conceded against Atlético Madrid
D 0.83 created, 1.83 conceded against Real Betis
D 1.33 created, 0.54 conceded against Athletic Club
W 2.45 created, 0.99 conceded against Real Oviedo
D 0.31 created, 1.05 conceded against Sevilla

Levante UD

0.98 xG created 1.91 xGA

L 0.50 created, 2.09 conceded against Athletic Club
L 0.63 created, 0.68 conceded against Valencia
L 1.05 created, 2.40 conceded against Villarreal
L 0.53 created, 2.92 conceded against Barcelona
W 2.48 created, 1.31 conceded against Deportivo Alavés
D 0.67 created, 2.03 conceded against Girona FC

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

Head to head

Rayo Vallecano: 1 won · 0 drawn · 0 lost

Levante UD 0:3 Rayo Vallecano 19/10/2025 xG 0.91 – 1.55

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.