Queens Park Rangers 1:2 Southampton: xG & match report · Championship

Wednesday, 05/11/2025 at 20:45

Full time

Match report · Championship

Queens Park Rangers Home 1.68 xG · 20 shots

Southampton Away 0.68 xG · 9 shots

12 The result went against the chances

Goals

55' Jay Robinson Southampton · 0.13 xG chance 0–1
69' Leo Scienza Southampton · 0.02 xG chance 0–2
73' Rumarn Burrell Queens Park Rangers · 0.64 xG chance 1–2

The shots behind it

Queens Park Rangers Southampton

Shots: 20; 9
On target: 5; 2
Inside the box: 16; 5
xG per shot: 0.08; 0.08
Open play xG: 1.35; 0.26
Set-piece xG: 0.33; 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: 1.69 for Queens Park Rangers.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

29 shots · 2.37 xG

Hover or tap a shot, or step through them with the arrows.

Queens Park Rangers
Southampton
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

Queens Park Rangers

1.19 xG created 1.05 xGA

D 0.80 created, 0.37 conceded against Oxford United
W 0.48 created, 1.21 conceded against Bristol City
L 1.87 created, 1.64 conceded against Millwall
W 2.05 created, 0.40 conceded against Swansea City
L 0.38 created, 1.67 conceded against Derby County
L 1.56 created, 1.03 conceded against Ipswich Town

Southampton

1.70 xG created 1.58 xGA

W 1.61 created, 0.85 conceded against Sheffield United
D 1.06 created, 1.36 conceded against Derby County
D 3.10 created, 0.20 conceded against Swansea City
L 2.20 created, 1.63 conceded against Bristol City
L 1.67 created, 3.20 conceded against Blackburn Rovers
L 0.53 created, 2.24 conceded against Preston North End

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.