+1.68goals above what the league converts the same chances into
Build-up per 90
0.309% of Liverpool’s build-up value
league 0.24
Virgil van Dijk ranks 245th of 398 qualified players for attacking involvement, shooting from 10.3m on average, with 81% of their danger coming from set pieces. They carry 3% of Liverpool’s attacking involvement, the 10th largest share in the squad.
Against their position
119 defenders
Shooting
per 90
Goals
0.1698th
Non-penalty goals
0.1698th
xG
0.1394th
Non-penalty xG
0.1394th
Shots
0.7977th
npxG per shot
0.1693rd
Shot distance
10.3m79th
Set-piece share
81%55th
Goals against xG
+1.195th
2 figures here come from match-event data, which is not recorded for 2025/26.
Creating
per 90
Assists
0.0025th
Expected assists
0.0111th
Key passes
0.2940th
npxG + xA
0.1472nd
xG chain
0.3368th
xG build-up
0.3073rd
Assists against xA
-0.340th
On the ball
per 90
6 figures here come from match-event data, which is not recorded for 2025/26.
Defending
per 90
Recoveries
2.295th
Defensive contribution
9.2678th
7 figures here come from match-event data, which is not recorded for 2025/26.
Discipline
per 90
Yellow cards
4season count
Red cards
0season count
3 figures here come from match-event data, which is not recorded for 2025/26.
Ranked against 119 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. Recoveries and defensive contribution come from the FPL feed and are ranked in its own positions.
This week
Gameweek 8
Next fixture
Gameweek 8
vsBrighton
Sun 25 Oct, 14:00 UTC
Brighton concede 11.7 shots a match and are 0.87× the league norm against defenders. A difficult one.
Projected shots
0.71
0.79 per 90 × 0.90
Projected on target
0.32
0.34 per 90 × 0.92
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
38 appearances
Over 0.520 of 3853%± 8
Over 1.58 of 3821%± 7
Over 2.52 of 385%± 4
Over 3.50 of 380%± 0
The band is one standard error, the tick the estimate. Blanks count as misses, 18 of 38.
When it mattered5 of 6 goals came with the game level or Liverpool behind.
On the pitch100% of available minutes.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Virgil van Dijk’soutput.
Chances received
who supplies them
Dominik Szoboszlai2.9 xG18 shots, 5g
Mohamed Salah1.0 xG3 shots, 1g
Rio Ngumoha0.5 xG2 shots, 0g
Cody Gakpo0.1 xG1 shot, 0g
Florian Wirtz0.1 xG1 shot, 0g
Chances created
who they supply
Ryan Gravenberch0.1 xG3 shots, 0g
Alexis Mac Allister0.1 xG2 shots, 0g
Cody Gakpo0.1 xG2 shots, 0g
Dominik Szoboszlai0.0 xG2 shots, 0g
Mohamed Salah0.0 xG1 shot, 0g
Season record
2025/26
Involvement in build-up
excludes their own shots and final passes
Virgil van Dijk carries 9.2%of Liverpool’s build-up value.
Build-up per 900.300
72% of defenders
Possession value per 900.329
67% of defenders
Ranked against 119 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
38 appearances, oldest first
over 1.5
v Bournemouth2 shots 1 on target
v Man Utd2 shots 1 on target
v Forest1 shot 0 on target
at West Ham1 shot 0 on target
v Sunderland1 shot 0 on target
at Leeds2 shots 1 on target
at Spurs1 shot 1 on target
v Leeds3 shots 0 on target
1g
at Bournemouth1 shot 1 on target
v Newcastle1 shot 0 on target
1g
at Sunderland3 shots 1 on target
at Forest1 shot 1 on target
1g
v West Ham1 shot 1 on target
at Wolves2 shots 1 on target
v Fulham1 shot 0 on target
1g
at Everton1 shot 1 on target
at Man Utd1 shot 1 on target
v Chelsea2 shots 0 on target
2g
at Villa2 shots 2 on target
v Brentford1 shot 0 on target
18 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 18 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.
