Leeds United 1:2 Tottenham Hotspur: xG & match report · Premier League

Saturday, 04/10/2025 at 13:30

Full time

Match report · Premier League

Leeds United Home 1.68 xG · 16 shots

Tottenham Hotspur Away 0.53 xG · 9 shots

12 The result went against the chances

Goals

23' Mathys Tel Tottenham Hotspur · 0.04 xG chance 0–1
34' Noah Okafor Leeds United · 0.80 xG chance 1–1
57' Mohammed Kudus Tottenham Hotspur · 0.05 xG chance 1–2

The shots behind it

Leeds United Tottenham Hotspur

Shots: 16; 9
On target: 4; 3
Inside the box: 11; 4
xG per shot: 0.11; 0.06
Open play xG: 1.36; 0.50
Set-piece xG: 0.44; 0.07
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: 1.75 for Leeds United and 0.58 for Tottenham Hotspur.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

25 shots · 2.37 xG

Hover, focus or tap a shot to read it.

Leeds United
Tottenham Hotspur
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

Leeds United

1.02 xG created 1.27 xGA

W 2.13 created, 0.80 conceded against Everton
L 0.17 created, 2.88 conceded against Arsenal
D 0.69 created, 0.46 conceded against Newcastle United
L 0.79 created, 0.85 conceded against Fulham
W 0.48 created, 1.78 conceded against Wolverhampton
D 1.84 created, 0.82 conceded against Bournemouth

Tottenham Hotspur

1.17 xG created 1.19 xGA

W 2.32 created, 0.94 conceded against Burnley
W 1.11 created, 1.55 conceded against Manchester City
L 0.19 created, 1.59 conceded against Bournemouth
W 1.29 created, 0.60 conceded against West Ham United
D 1.22 created, 1.32 conceded against Brighton & Hove Albion
D 0.87 created, 1.15 conceded against Wolverhampton

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

Model details

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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.