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Arsenal

Oleksandr Zinchenko

Midfielder
Non-penalty xG per 90
0.090 non-penalty goals from 10 shots
Expected assists per 90
0.021 assists, 3 key passes
Finishing
-0.45goals above what the league converts the same chances into
Build-up per 90
0.492% of Arsenal’s build-up value

Oleksandr Zinchenko ranks 251st of 397 qualified players for attacking involvement, shooting from 20.3m on average, with 45% of their danger coming from set pieces.

Against their position

137 midfielders

Shooting

per 90
Goals
0.00
Non-penalty goals
0.00
xG
0.09
Non-penalty xG
0.09
Shots
1.80
npxG per shot
0.05
Shot distance
20.3m
Set-piece share
45%
Goals against xG
-0.5

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

Creating

per 90
Assists
0.18
Expected assists
0.02
Key passes
0.54
npxG + xA
0.11
xG chain
0.54
xG build-up
0.49
Assists against xA
+0.9

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
1season count
Red cards
0season count

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

Ranked against 137 midfielders 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 Nottingham Forest

Sun 18 Oct, 15:30 UTC

Nottingham Forest concede 14.0 shots a match and are 1.01× the league norm against midfielders. Roughly an average matchup.

Projected shots
1.87

1.80 per 90 × 1.04

Projected on target
0.00

0.00 per 90 × 0.98

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

Shots

15 appearances
  • Over 0.55 of 1533%± 12
  • Over 1.53 of 1520%± 10
  • Over 2.51 of 157%± 6
  • Over 3.51 of 157%± 6

The band is one standard error, the tick the estimate. Blanks count as misses, 10 of 15.

Shooting profile

10 shots

Where they shoot

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

Oleksandr Zinchenko, 2024/25, 10 shots in the final 35m, 0 scored.

left
47%
Centre
28%
right
25%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.050
Shots per 90
1.80
Key passes per 90
0.54
Average shot distance
20.3m
From set pieces
45%

How the chances arrive

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

Club role

Arsenal

What they are for

  • On the pitch15% of available minutes.

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

Chances received

who supplies them
  1. Bukayo Saka0.1 xG1 shot, 0g
  2. Ethan Nwaneri0.1 xG3 shots, 0g
  3. Leandro Trossard0.1 xG1 shot, 0g
  4. Martin Odegaard0.1 xG1 shot, 0g
  5. Raheem Sterling0.0 xG1 shot, 0g

Chances created

who they supply
  1. Ethan Nwaneri0.1 xG1 shot, 1g
  2. Martin Odegaard0.0 xG1 shot, 0g
  3. Gabriel Martinelli0.0 xG1 shot, 0g

Season record

2024/25

Involvement in build-up

excludes their own shots and final passes

Oleksandr Zinchenko carries 2.0% of Arsenal’s build-up value.

  • Build-up per 900.493
    91% of midfielders
  • Possession value per 900.542
    72% of midfielders

Ranked against 137 midfielders 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

15 appearances, oldest first

v Man Utd1 shot
0 on target

v West Ham2 shots
0 on target

v Brentford1 shot
0 on target

at Ipswich2 shots
0 on target

at Southampton4 shots
0 on target

10 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 10 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.