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Sunderland

Nordi Mukiele

Centre-back28 yrs
Non-penalty xG per 90
0.240 non-penalty goals from 8 shots
Expected assists per 90
0.070 assists, 2 key passes
Finishing
-1.06goals above what the league converts the same chances into
Build-up per 90
0.5011% of Sunderland’s build-up value

Nordi Mukiele ranks 46th of 138 qualified players for attacking involvement, shooting from 20.3m on average, with 48% of their danger coming from set pieces. They carry 6% of Sunderland’s attacking involvement, the 8th largest share in the squad.

Against their position

81 defenders

Average match rating7.64

Shooting

per 90
Goals
0.00
Non-penalty goals
0.00
xG
0.24
Non-penalty xG
0.24
Shots
1.60
Shots on target
0.00
Shot accuracy
–not ranked
npxG per shot
–not ranked
Shot distance
–not ranked
Set-piece share
–not ranked
Goals against xG
-1.2

Creating

per 90
Assists
0.00
Expected assists
0.07
Key passes
0.40
npxG + xA
0.31
xG chain
0.63
xG build-up
0.50
Assists against xA
-0.4

On the ball

per 90
Touches
64.00
Passes
38.00
Pass completion
74%
Take-ons attempted
1.50
Take-on success
–not ranked
Dispossessed
1.00

Defending

per 90
Tackles
4.00
Tackles won
–not ranked
Interceptions
0.50
Clearances
11.50
Aerials won
3.50
Aerial success
58%
Dribbled past
1.00

Discipline

per 90
Fouls committed
0.50
Caught offside
0.50
Errors
0season count
Yellow cards
1season count
Red cards
0season count

Ranked against 81 defenders 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

Gameweek 7

Next fixture

Gameweek 7

away to Bournemouth

Sun 18 Oct, 13:00 UTC

Bournemouth concede 10.8 shots a match and are 0.95× the league norm against centre-backs (6 shots so far). A difficult one.

Projected shots
1.39

1.60 per 90 × 0.87

Projected on target
0.39

0.40 per 90 × 0.97

Season rate times what this opponent concedes, over a full ninety minutes. Check availability.

Shots

5 appearances
  • Over 0.53 of 560%± 22
  • Over 1.52 of 540%± 22
  • Over 2.52 of 540%± 22
  • Over 3.51 of 520%± 18

The band is one standard error, the tick the estimate. Blanks count as misses, 2 of 5.

Shooting profile

8 shots

Where they shoot

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

Nordi Mukiele, 2026/27, 7 shots in the final 35m, 0 scored.

left
0%
Centre
90%
right
10%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.149
Shots per 90
1.60
Key passes per 90
0.40
Average shot distance
20.3m
From set pieces
48%

How the chances arrive

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

Club role

Sunderland

What they are for

  • On the pitch83% of available minutes.

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

Chances received

who supplies them
  1. Enzo Le Fée0.5 xG1 shot, 0g
  2. Granit Xhaka0.5 xG1 shot, 0g
  3. Kevin Danso0.1 xG3 shots, 0g
  4. Brian Brobbey0.0 xG1 shot, 0g
  5. Noah Sadiki0.0 xG1 shot, 0g

Chances created

who they supply
  1. Malick Fofana0.3 xG1 shot, 0g
  2. Kevin Danso0.1 xG1 shot, 0g

Season record

2026/27

Involvement in build-up

excludes their own shots and final passes

Nordi Mukiele carries 11.3% of Sunderland’s build-up value.

  • Build-up per 900.504
    87% of defenders
  • Possession value per 900.627
    87% of defenders

Ranked against 52 defenders 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

5 appearances, oldest first

v Arsenal4 shots
1 on target

at Man City1 shot
0 on target

v Brighton3 shots
1 on target

2 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 2 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.