Premier League · 2025/26
Leeds
Over 38 matches, Leeds create most danger through the middle (1.12× the league norm), and concede most through the middle (1.16×).
49 scored, 10.8 below xG
56 conceded, level with xGA
Where the shots come from
Shots faced
every shot, or counted by zoneLeeds, 2025/26 · final 35m.
vs league average · 1.00 marked · share of xG
Shots taken
every shot, or counted by zoneLeeds, 2025/26 · final 35m. A further 1% of their shots came from outside this window.
vs league average · 1.00 marked · share of xG
Shots faced
every shot, or counted by zoneLeeds, 2025/26 · final 35m.
vs league average · 1.00 marked · share of xG
Flanks and routes
Danger conceded by flank
left against right · open play onlyNo meaningful side bias. Leeds concede about evenly on both flanks, so neither is worth targeting over the other.
Set pieces are excluded, since a corner has no flank. Sides within ten points of an even split are treated as level, since a season is short enough that smaller gaps are usually noise.
Crosses or through balls
open play onlyLeeds take 18% of their open-play danger from crosses and 9% from balls played through the middle.
Measured from the action immediately before each shot. This shows whether a side works the ball wide or through the middle; which flank they progress down cannot be derived, because no free source publishes pass locations.
Who does the work
Territory and pressing
1.00 = league averageLeeds get the ball into dangerous areas less often than most, and hurt you more than most when they do.
- Territory won0.78×
5.3 deep completions a match
- Territory allowed0.92×
6.3 conceded a match
- Pressing0.95×
13.0 opponent passes per defensive action
- Freedom to build0.96×
11.8 of their own passes allowed
- Danger per arrival1.26×
0.268 npxG per deep completion
A deep completion is a pass finished within about twenty yards of goal, and PPDA counts an opponent’s passes per defensive action. A lower figure is a harder press, so the bar inverts it to keep every row reading the same way. This describes where the ball ends up rather than how it travelled: no pass or carry record exists in this data, so progressive passes and carries are genuinely out of reach rather than merely absent.
Share of attacking output
non-penalty xG plus expected assistsLeeds’ attack is effectively 11.7 players. A side spread across fourteen absorbs an absence that one built on nine does not.
4.8% of their attack is doubtful or out. Joe Rodon, Ilia Gruev.
- Brenden Aaronson12.2%
- Anton Stach9.4%
- Noah Okafor9.1%
- Lukas Nmecha8.0%
- Jayden Bogle5.7%
Share of the squad’s non-penalty xG plus expected assists, so it counts chances taken and chances given alike. Penalties are left out because they describe who the club nominates rather than who creates. Contributors under 2% are not listed, though they still count towards the spread above.
Share of defensive work
tackles, blocks, clearances, recoveriesLeeds’ defensive work is effectively 13.8 players. A side spread across fourteen absorbs an absence that one built on nine does not.
12.7% of their defensive work is doubtful or out. Joe Rodon, Ilia Gruev.
- Ethan Ampadu13.6%
- Pascal Struijk9.7%
- Joe Rodon50% chance8.9%
- Anton Stach8.7%
- Jaka Bijol7.1%
- Brenden Aaronson7.0%
Share of the squad’s defensive contribution: tackles, blocks, clearances, interceptions and recoveries combined. Goalkeepers record none of it, so a keeper never appears here however much the side depends on him. This statistic begins in 2025/26, so there is no earlier season to compare against.
Creator to finisher
shots and xG per pairing- Brenden Aaronson→Dominic Calvert-Lewin2.4 xG10 shots · 1g
- Jayden Bogle→Dominic Calvert-Lewin1.3 xG7 shots · 0g
- Anton Stach→Pascal Struijk1.3 xG11 shots · 0g
- Sean Longstaff→Joe Rodon1.1 xG9 shots · 2g
- Jayden Bogle→Noah Okafor1.0 xG4 shots · 1g
- Anton Stach→Brenden Aaronson1.0 xG6 shots · 0g
- Anton Stach→Dominic Calvert-Lewin0.9 xG9 shots · 0g
- Gabriel Gudmundsson→Lukas Nmecha0.8 xG4 shots · 0g
The pass immediately before the shot, so a player who starts moves without playing the final ball will not appear here. Roughly seven in ten shots name their creator.
How the season splits
Danger by scoreline
leading, level or behindLeeds produce most of their danger with the game level (50% of their xG).
- Ahead27%
- Level50%
- Behind23%
- Ahead
- 27%
- 16.8 xG · 112 shots
- Level
- 50%
- 31.0 xG · 253 shots
- Behind
- 23%
- 14.2 xG · 113 shots
The scoreline at the moment each shot was struck, rebuilt from goal times. Sides that trail often will look busier in attack than they really are.
Home and away
same team, two recordsLeeds are a noticeably different side by venue, creating 0.42 xG more per match at home, and conceding 0.52 fewer.
Shots faced and shots stopped
two different jobsLeeds allow 1.51 xG a match, and concede 4.5 more goals than the league converts that into.
- Chance prevention
- 1.51
- Shot stopping
- -4.5
xG allowed per match. Mostly the outfield shape, and it tends to repeat.
Goals prevented against the league rate. Largely the keeper, and it swings year to year.
Measured against the league’s own conversion rate rather than raw xG. Blocked and off-target shots carry xG that can never be scored, so comparing goals to raw xG would mark every side in the division as leaky. A high block share means bodies in the way rather than chances denied.