-2.38goals above what the league converts the same chances into
Build-up per 90
0.314% of Arsenal’s build-up value
league 0.27
Bukayo Saka ranks 1st of 397 qualified players for attacking involvement, shooting from 16.3m on average. They carry 13% of Arsenal’s attacking involvement, the largest share in the squad.
Against their position
104 forwards
Shooting
per 90
Goals
0.3154th
Non-penalty goals
0.2648th
xG
0.4675th
Non-penalty xG
0.4274th
Shots
3.4289th
npxG per shot
0.1244th
Shot distance
16.3m45th
Set-piece share
17%51st
Goals against xG
-3.212th
2 figures here come from match-event data, which is not recorded for 2024/25.
Creating
per 90
Assists
0.5198th
Expected assists
0.59100th
Key passes
2.9698th
npxG + xA
1.01100th
xG chain
0.8489th
xG build-up
0.3182nd
Assists against xA
-1.621st
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
3season 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
Gameweek 7
Next fixture
Gameweek 7
away toNottingham Forest
Sun 18 Oct, 15:30 UTC
Nottingham Forest concede 14.0 shots a match and are 1.07× the league norm against forwards. Roughly an average matchup.
Projected shots
3.67
3.42 per 90 × 1.07
Projected on target
1.15
1.17 per 90 × 0.98
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
25 appearances
Over 0.523 of 2592%± 5
Over 1.518 of 2572%± 9
Over 2.510 of 2540%± 10
Over 3.57 of 2528%± 9
The band is one standard error, the tick the estimate. Blanks count as misses, 2 of 25.
Corners and set piecesSupplies 26% of Arsenal’s dead-ball danger, from 25 deliveries that became shots.
When it mattered2 of 6 goals came with the game level or Arsenal behind.
On the pitch52% of available minutes.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Bukayo Saka’soutput.
Chances received
who supplies them
Gabriel Martinelli1.8 xG4 shots, 1g
Martin Odegaard1.4 xG15 shots, 1g
Kai Havertz1.1 xG9 shots, 1g
Leandro Trossard0.6 xG6 shots, 0g
Ben White0.4 xG2 shots, 1g
Chances created
who they supply
Gabriel2.7 xG8 shots, 3g
Kai Havertz2.6 xG10 shots, 3g
Leandro Trossard1.6 xG6 shots, 1g
Gabriel Martinelli1.1 xG4 shots, 1g
Mikel Merino0.8 xG4 shots, 0g
Season record
2024/25
Involvement in build-up
excludes their own shots and final passes
Bukayo Saka carries 4.5%of Arsenal’s build-up value.
Build-up per 900.307
82% of forwards
Possession value per 900.840
88% 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
25 appearances, oldest first
over 1.5
1g
v Wolves5 shots 3 on target
at Villa1 shot 1 on target
v Brighton4 shots 3 on target
at Spurs1 shot 0 on target
v Leicester7 shots 2 on target
1g
v Southampton7 shots 2 on target
1g
v Liverpool2 shots 1 on target
at Newcastle2 shots 0 on target
at Chelsea2 shots 0 on target
1g
v Forest6 shots 2 on target
1g
at West Ham3 shots 1 on target
v Man Utd1 shot 1 on target
at Fulham2 shots 1 on target
v Everton3 shots 1 on target
1g
v Fulham1 shot 1 on target
at Everton2 shots 0 on target
v Brentford2 shots 0 on target
at Ipswich3 shots 0 on target
v Palace1 shot 1 on target
v Bournemouth4 shots 1 on target
at Liverpool4 shots 1 on target
v Newcastle2 shots 1 on target
at Southampton2 shots 0 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.