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Zanka

Defender
Non-penalty xG per 90
0.051 non-penalty goals from 8 shots
Expected assists per 90
0.080 assists, 6 key passes
Finishing
+0.43goals above what the league converts the same chances into
Build-up per 90
0.314% of Brentford’s build-up value

Zanka ranks 250th of 402 qualified players for attacking involvement, shooting from 15.1m on average.

Against their position

135 defenders

Shooting

per 90
Goals
0.08
Non-penalty goals
0.08
xG
0.05
Non-penalty xG
0.05
Shots
0.67
npxG per shot
–not ranked
Shot distance
–not ranked
Set-piece share
–not ranked
Goals against xG
+0.4

2 figures here come from match-event data, which is not recorded for 2023/24.

Creating

per 90
Assists
0.00
Expected assists
0.08
Key passes
0.50
npxG + xA
0.13
xG chain
0.38
xG build-up
0.31
Assists against xA
-1.0

On the ball

per 90

6 figures here come from match-event data, which is not recorded for 2023/24.

Defending

per 90

7 figures here come from match-event data, which is not recorded for 2023/24.

Discipline

per 90
Yellow cards
4season count
Red cards
0season count

3 figures here come from match-event data, which is not recorded for 2023/24.

Ranked against 135 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 8

Next fixture

Gameweek 8

away to Hull

Sun 25 Oct, 14:00 UTC

No shot record for Hull in this season, so no opponent adjustment is possible. Newly promoted sides have no Premier League history to measure.

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

Shots

14 appearances
  • Over 0.56 of 1443%± 13
  • Over 1.51 of 147%± 7
  • Over 2.51 of 147%± 7
  • Over 3.50 of 140%± 0

The band is one standard error, the tick the estimate. Blanks count as misses, 8 of 14.

Shooting profile

8 shots

Where they shoot

8 shots
13% of shots, 1 shot13% of shots, 1 shot13% of shots, 1 shot13% of shots, 1 shot13% of shots, 1 shot13% of shots, 1 shot13% of shots, 1 shot13% of shots, 1 shot13%13%13%13%13%13%13%13%Opponent goalLeftRight
Share of shots<1%1–2%2–4%4–6%6%+

Zanka, 2023/24, final 35m.

left
12%
Centre
60%
right
28%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.075
Shots per 90
0.67
Key passes per 90
0.50
Average shot distance
15.1m
From set pieces
8%

How the chances arrive

Crosses
11%
Through balls
0%
Own dribble
0%
Headed
11%

Club role

Brentford

What they are for

  • On the pitch32% of available minutes.

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

Chances received

who supplies them
  1. Mikkel Damsgaard0.4 xG1 shot, 1g
  2. Kristoffer Ajer0.1 xG1 shot, 0g
  3. Keane Lewis-Potter0.1 xG1 shot, 0g
  4. Mathias Jensen0.0 xG2 shots, 0g
  5. Mark Flekken0.0 xG1 shot, 0g

Chances created

who they supply
  1. Yoane Wissa0.4 xG2 shots, 0g
  2. Kevin Schade0.3 xG1 shot, 0g
  3. Keane Lewis-Potter0.1 xG1 shot, 0g
  4. Ivan Toney0.1 xG1 shot, 0g
  5. Yehor Yarmolyuk0.0 xG1 shot, 0g

Season record

2023/24

Involvement in build-up

excludes their own shots and final passes

Zanka carries 4.4% of Brentford’s build-up value.

  • Build-up per 900.308
    61% of defenders
  • Possession value per 900.380
    64% of defenders

Ranked against 135 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

14 appearances, oldest first

at West Ham1 shot
0 on target

v Chelsea1 shot
0 on target

at Arsenal1 shot
0 on target

v Man Utd3 shots
0 on target

v Brighton1 shot
1 on target

1g

at Villa1 shot
1 on target

8 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 8 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.