-0.88goals above what the league converts the same chances into
Build-up per 90
0.4211% of Arsenal’s build-up value
league 0.27
William Saliba ranks 246th of 397 qualified players for attacking involvement, shooting from 5.1m on average, with 100% of their danger coming from set pieces. They carry 2% of Arsenal’s attacking involvement, the 12th largest share in the squad.
Injured. Back injury - Unknown return date. The rates below describe what he did, not what he is about to do. Club status as of 17 Oct 2026.
Against their position
123 defenders
Shooting
per 90
Goals
0.0674th
Non-penalty goals
0.0674th
xG
0.0987th
Non-penalty xG
0.0987th
Shots
0.187th
npxG per shot
–not ranked
Shot distance
–not ranked
Set-piece share
–not ranked
Goals against xG
-1.214th
2 figures here come from match-event data, which is not recorded for 2024/25.
Creating
per 90
Assists
0.0026th
Expected assists
0.0235th
Key passes
0.2126th
npxG + xA
0.1265th
xG chain
0.4269th
xG build-up
0.4280th
Assists against xA
-0.821st
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
1season count
3 figures here come from match-event data, which is not recorded for 2024/25.
Ranked against 123 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 toNottingham Forest
Sun 18 Oct, 15:30 UTC
Nottingham Forest concede 14.0 shots a match and are 1.13× the league norm against defenders. A favourable draw.
Projected shots
0.20
0.18 per 90 × 1.10
Projected on target
0.06
0.06 per 90 × 0.98
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
35 appearances
Over 0.55 of 3514%± 6
Over 1.51 of 353%± 3
Over 2.50 of 350%± 0
Over 3.50 of 350%± 0
The band is one standard error, the tick the estimate. Blanks count as misses, 30 of 35.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of William Saliba’soutput.
Chances received
who supplies them
Thomas Partey1.0 xG1 shot, 1g
Kai Havertz0.9 xG1 shot, 1g
Declan Rice0.6 xG1 shot, 0g
Mikel Merino0.1 xG1 shot, 0g
Martin Odegaard0.1 xG1 shot, 0g
Chances created
who they supply
Leandro Trossard0.5 xG3 shots, 0g
Gabriel Martinelli0.1 xG2 shots, 0g
Martin Odegaard0.1 xG1 shot, 0g
Jurriën Timber0.0 xG1 shot, 0g
Season record
2024/25
Involvement in build-up
excludes their own shots and final passes
William Saliba carries 10.7%of Arsenal’s build-up value.
Build-up per 900.423
80% of defenders
Possession value per 900.424
68% of defenders
Ranked against 123 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
35 appearances, oldest first
over 1.5
1g
v Man Utd1 shot 1 on target
1g
at Fulham2 shots 1 on target
at Forest1 shot 0 on target
v Fulham1 shot 0 on target
v Palace1 shot 0 on target
30 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 30 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.
