Sunderland 0:5 Nottingham Forest: xG & match report · Premier League

Friday, 24/04/2026 at 21:00

Full time

Match report · Premier League

Sunderland Home 0.70 xG · 14 shots

Nottingham Forest Away 1.10 xG · 11 shots

05 The scoreline reflected the chances

Goals

17' Trai Hume (o.g.) Nottingham Forest · 0.10 xG chance 0–1
31' Chris Wood Nottingham Forest · 0.55 xG chance 0–2
34' Morgan Gibbs-White Nottingham Forest · 0.08 xG chance 0–3
37' Igor Jesus Nottingham Forest · 0.19 xG chance 0–4
90' Elliot Anderson Nottingham Forest · 0.24 xG chance 0–5

The shots behind it

Sunderland Nottingham Forest

Shots: 14; 11
On target: 4; 7
Inside the box: 7; 6
xG per shot: 0.05; 0.13
Open play xG: 0.33; 0.95
Set-piece xG: 0.35; 0.43
Penalties: —; —

Sunderland's shots add up to 0.68 xG and Nottingham Forest's to 1.38; the published figures are 0.70 and 1.10.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

25 shots · 2.06 xG

Hover, focus or tap a shot to read it.

Sunderland
Nottingham Forest
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

Sunderland

1.46 xG created 1.52 xGA

D 1.42 created, 1.50 conceded against Bournemouth
W 0.86 created, 1.08 conceded against Leeds United
L 0.97 created, 1.57 conceded against Brighton & Hove Albion
W 2.45 created, 1.27 conceded against Newcastle United
W 1.33 created, 0.84 conceded against Tottenham Hotspur
L 1.73 created, 2.84 conceded against Aston Villa

Nottingham Forest

1.07 xG created 1.09 xGA

L 0.93 created, 1.31 conceded against Brighton & Hove Albion
D 0.97 created, 2.02 conceded against Manchester City
D 0.71 created, 0.67 conceded against Fulham
W 1.48 created, 1.14 conceded against Tottenham Hotspur
D 1.15 created, 1.02 conceded against Aston Villa
W 1.19 created, 0.36 conceded against Burnley

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

Head to head

Sunderland: 1 won · 0 drawn · 0 lost

Nottingham Forest 0:1 Sunderland 27/09/2025 xG 1.65 – 1.19

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.