Osasuna 1:2 Atlético Madrid: xG & match report · La Liga

Tuesday, 12/05/2026 at 21:30

Full time

Match report · La Liga

Osasuna Home 2.30 xG · 23 shots

Atlético Madrid Away 1.56 xG · 5 shots

12 The result went against the chances

Goals

15' Ademola Lookman (pen.) Atlético Madrid · 0.82 xG chance 0–1
71' Alexander Sørloth Atlético Madrid · 0.31 xG chance 0–2
90' Kike Barja Osasuna · 0.20 xG chance 1–2

The shots behind it

Osasuna Atlético Madrid

Shots: 23; 5
On target: 5; 4
Inside the box: 18; 4
xG per shot: 0.10; 0.34
Open play xG: 1.85; 0.86
Set-piece xG: 0.39; 0.00
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: 2.22 for Osasuna and 0.86 for Atlético Madrid.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

28 shots · 3.92 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Osasuna

1.14 xG created 1.32 xGA

D 1.30 created, 2.04 conceded against Deportivo Alavés
D 1.45 created, 0.41 conceded against Real Betis
L 1.21 created, 0.54 conceded against Athletic Club
W 1.43 created, 0.40 conceded against Sevilla
L 0.80 created, 1.29 conceded against Barcelona
L 0.63 created, 3.22 conceded against Levante UD

Atlético Madrid

1.51 xG created 1.48 xGA

L 0.92 created, 2.22 conceded against Barcelona
L 0.84 created, 1.85 conceded against Sevilla
L 1.01 created, 2.78 conceded against Elche
W 2.09 created, 0.80 conceded against Athletic Club
W 2.04 created, 1.09 conceded against Valencia
L 2.18 created, 0.13 conceded against Celta Vigo

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

Head to head

Osasuna: 0 won · 0 drawn · 1 lost

Atlético Madrid 1:0 Osasuna 18/10/2025 xG 2.58 – 1.14

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.