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Southampton

Kamaldeen Sulemana

Forward
Non-penalty xG per 90
0.101 non-penalty goals from 29 shots
Expected assists per 90
0.081 assists, 10 key passes
Finishing
-0.41goals above what the league converts the same chances into
Build-up per 90
0.061% of Southampton’s build-up value

Kamaldeen Sulemana ranks 195th of 397 qualified players for attacking involvement, shooting from 19.9m on average. They carry 3% of Southampton’s attacking involvement, the 13th largest share in the squad.

Against their position

104 forwards

Shooting

per 90
Goals
0.06
Non-penalty goals
0.06
xG
0.10
Non-penalty xG
0.10
Shots
1.86
npxG per shot
0.05
Shot distance
19.9m
Set-piece share
6%
Goals against xG
-0.6

2 figures here come from match-event data, which is not recorded for 2024/25.

Creating

per 90
Assists
0.06
Expected assists
0.08
Key passes
0.64
npxG + xA
0.18
xG chain
0.21
xG build-up
0.06
Assists against xA
-0.3

On the ball

per 90

6 figures here come from match-event data, which is not recorded for 2024/25.

Defending

per 90

7 figures here come from match-event data, which is not recorded for 2024/25.

Discipline

per 90
Yellow cards
2season count
Red cards
0season count

3 figures here come from match-event data, which is not recorded for 2024/25.

Ranked against 104 forwards with half a match a round or more, the same comparison the compare page makes. Where less is better, such as being dispossessed, the order is turned round, so a high percentile is always the good end.

This week

Next match

Shots

26 appearances
  • Over 0.514 of 2654%± 10
  • Over 1.57 of 2627%± 9
  • Over 2.55 of 2619%± 8
  • Over 3.52 of 268%± 5

The band is one standard error, the tick the estimate. Blanks count as misses, 12 of 26.

Shooting profile

29 shots

Where they shoot

29 shots
Every shotBy zone
Opponent goalLeftRight
GoalNo goalMark area is the chance’s expected goals

Kamaldeen Sulemana, 2024/25, 29 shots in the final 35m, 1 scored.

left
73%
Centre
19%
right
8%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.054
Shots per 90
1.86
Key passes per 90
0.64
Average shot distance
19.9m
From set pieces
6%

How the chances arrive

Crosses
7%
Through balls
0%
Own dribble
32%
Headed
0%

Club role

Southampton

What they are for

  • On the pitch41% of available minutes.

What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Kamaldeen Sulemana’soutput.

Chances received

who supplies them
  1. Chimuanya Ugochukwu0.3 xG4 shots, 0g
  2. Taylor Harwood-Bellis0.2 xG2 shots, 0g
  3. Paul Onuachu0.2 xG3 shots, 1g
  4. Kyle Walker-Peters0.2 xG3 shots, 0g
  5. Tyler Dibling0.1 xG2 shots, 0g

Chances created

who they supply
  1. Paul Onuachu0.8 xG3 shots, 0g
  2. Mateus Fernandes0.3 xG2 shots, 1g
  3. Ryan Manning0.1 xG1 shot, 0g
  4. Yukinari Sugawara0.0 xG1 shot, 0g
  5. Chimuanya Ugochukwu0.0 xG1 shot, 0g

Season record

2024/25

Involvement in build-up

excludes their own shots and final passes

Kamaldeen Sulemana carries 1.3% of Southampton’s build-up value.

  • Build-up per 900.064
    4% of forwards
  • Possession value per 900.210
    1% of forwards

Ranked against 104 forwards with a comparable sample. Build-up is the value of possessions a player was involved in, with their own shots and final passes removed, so it credits the work before the chance rather than the chance.

Match by match

Match log

26 appearances, oldest first

v Leicester1 shot
0 on target

v Brentford1 shot
0 on target

at Man Utd4 shots
1 on target

at Ipswich1 shot
1 on target

1g

v Bournemouth5 shots
2 on target

v Brighton1 shot
1 on target

at Liverpool1 shot
0 on target

at Spurs3 shots
1 on target

v Villa2 shots
0 on target

at West Ham3 shots
1 on target

v Fulham3 shots
1 on target

at Leicester1 shot
0 on target

v Man City1 shot
0 on target

v Arsenal2 shots
0 on target

12 blanksno shot
not placed

Height is shots, solid is on target, and the dashed rule is the 1.5 line. The feed cannot date an appearance with no shot in it, so 12 sits at the end, counted but unplaced.

How to read the ties. Each rate ties back to the league average: solid where the sample is settled, broken where it is still being shrunk toward the league, an open circle where there is no cohort to rank against.