+2.09goals above what the league converts the same chances into
Build-up per 90
0.547% of Manchester City’s build-up value
league 0.28
Bernardo Silva ranks 84th of 402 qualified players for attacking involvement, shooting from 16.5m on average. They carry 9% of Manchester City’s attacking involvement, the 5th largest share in the squad.
Against their position
128 midfielders
Shooting
per 90
Goals
0.2186th
Non-penalty goals
0.2188th
xG
0.1471st
Non-penalty xG
0.1473rd
Shots
1.1850th
npxG per shot
0.1288th
Shot distance
16.5m88th
Set-piece share
4%13th
Goals against xG
+1.993rd
2 figures here come from match-event data, which is not recorded for 2023/24.
Creating
per 90
Assists
0.3196th
Expected assists
0.3094th
Key passes
2.2592nd
npxG + xA
0.4492nd
xG chain
0.8493rd
xG build-up
0.5486th
Assists against xA
+0.583rd
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
8season count
Red cards
0season count
3 figures here come from match-event data, which is not recorded for 2023/24.
Ranked against 128 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 8
Next fixture
Gameweek 8
away toAston Villa
Sat 24 Oct, 11:30 UTC
Aston Villa concede 12.1 shots a match and are 0.86× the league norm against midfielders. A difficult one.
Projected shots
1.02
1.18 per 90 × 0.86
Projected on target
0.49
0.52 per 90 × 0.95
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
33 appearances
Over 0.519 of 3358%± 9
Over 1.59 of 3327%± 8
Over 2.55 of 3315%± 6
Over 3.51 of 333%± 3
The band is one standard error, the tick the estimate. Blanks count as misses, 14 of 33.
Open-play crosses7 crosses from open play became shots, worth 0.99 xG.
Corners and set piecesSupplies 8% of Manchester City’s dead-ball danger, from 14 deliveries that became shots.
When it mattered3 of 6 goals came with the game level or Manchester City behind.
On the pitch76% of available minutes.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Bernardo Silva’soutput.
Chances received
who supplies them
Phil Foden1.0 xG6 shots, 0g
Jéremy Doku0.7 xG4 shots, 2g
Kyle Walker0.6 xG3 shots, 1g
Julián Álvarez0.6 xG3 shots, 1g
Kevin De Bruyne0.2 xG3 shots, 0g
Chances created
who they supply
Erling Haaland4.0 xG17 shots, 2g
Phil Foden1.6 xG15 shots, 4g
Julián Álvarez0.8 xG6 shots, 0g
Rodri0.4 xG7 shots, 1g
Josko Gvardiol0.4 xG3 shots, 1g
Season record
2023/24
Involvement in build-up
excludes their own shots and final passes
Bernardo Silva carries 7.1%of Manchester City’s build-up value.
Build-up per 900.539
86% of midfielders
Possession value per 900.844
93% of midfielders
Ranked against 128 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
33 appearances, oldest first
over 1.5
1g
at West Ham1 shot 1 on target
at Man Utd1 shot 1 on target
2g
v Bournemouth4 shots 2 on target
v Liverpool1 shot 0 on target
v Spurs1 shot 1 on target
1g
at Luton3 shots 1 on target
v Palace2 shots 2 on target
1g
at Everton2 shots 1 on target
v Sheffield Utd1 shot 1 on target
1g
at Newcastle3 shots 2 on target
at Brentford2 shots 0 on target
v Chelsea2 shots 0 on target
v Brentford1 shot 0 on target
at Bournemouth3 shots 0 on target
v Man Utd1 shot 0 on target
v Villa1 shot 1 on target
v Wolves1 shot 0 on target
at Fulham3 shots 2 on target
v West Ham1 shot 0 on target
14 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 14 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.