Fulham 4:5 Manchester City: xG & match report · Premier League

Tuesday, 02/12/2025 at 20:30

Full time

Match report · Premier League

Fulham Home 0.91 xG · 12 shots

Manchester City Away 2.17 xG · 12 shots

45 The scoreline reflected the chances

Goals

17' Erling Haaland Manchester City · 0.14 xG chance 0–1
37' Tijjani Reijnders Manchester City · 0.59 xG chance 0–2
44' Phil Foden Manchester City · 0.05 xG chance 0–3
45' Emile Smith Rowe Fulham · 0.03 xG chance 1–3
48' Phil Foden Manchester City · 0.38 xG chance 1–4
54' Sander Berge (o.g.) Manchester City · 0.10 xG chance 1–5
57' Alex Iwobi Fulham · 0.05 xG chance 2–5
72' Samuel Chukwueze Fulham · 0.15 xG chance 3–5
78' Samuel Chukwueze Fulham · 0.05 xG chance 4–5

The shots behind it

Fulham Manchester City

Shots: 12; 12
On target: 6; 5
Inside the box: 9; 9
xG per shot: 0.08; 0.21
Open play xG: 0.75; 2.44
Set-piece xG: 0.15; 0.05
Penalties: —; —

Fulham's shots add up to 0.90 xG and Manchester City's to 2.49; the published figures are 0.91 and 2.17.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

24 shots · 3.39 xG

Hover, focus or tap a shot to read it.

Fulham
Manchester City
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

Fulham

1.06 xG created 1.12 xGA

L 0.44 created, 1.87 conceded against Arsenal
L 1.53 created, 2.14 conceded against Newcastle United
W 1.39 created, 0.24 conceded against Wolverhampton
L 0.40 created, 1.44 conceded against Everton
W 2.16 created, 0.17 conceded against Sunderland
W 0.42 created, 0.86 conceded against Tottenham Hotspur

Manchester City

2.15 xG created 1.12 xGA

W 2.38 created, 0.81 conceded against Everton
L 1.18 created, 0.81 conceded against Aston Villa
W 2.22 created, 0.72 conceded against Bournemouth
W 1.51 created, 0.61 conceded against Liverpool
L 2.49 created, 2.24 conceded against Newcastle United
W 3.10 created, 1.54 conceded against Leeds United

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.