-0.02goals above what the league converts the same chances into
Build-up per 90
0.476% of Chelsea’s build-up value
league 0.24
Cole Palmer ranks 100th of 398 qualified players for attacking involvement, shooting from 18.9m on average, with 50% of their danger coming from set pieces. They carry 7% of Chelsea’s attacking involvement, the 4th largest share in the squad.
Against their position
109 forwards
Shooting
per 90
Goals
0.4580th
Non-penalty goals
0.2251st
xG
0.4675th
Non-penalty xG
0.2645th
Shots
2.8786th
npxG per shot
0.0920th
Shot distance
18.9m19th
Set-piece share
50%97th
Goals against xG
-0.757th
2 figures here come from match-event data, which is not recorded for 2025/26.
Creating
per 90
Assists
0.0424th
Expected assists
0.1036th
Key passes
1.0858th
npxG + xA
0.3533rd
xG chain
0.7686th
xG build-up
0.4797th
Assists against xA
-1.129th
On the ball
per 90
6 figures here come from match-event data, which is not recorded for 2025/26.
Defending
per 90
Recoveries
3.8233rd
Defensive contribution
6.2220th
7 figures here come from match-event data, which is not recorded for 2025/26.
Discipline
per 90
Yellow cards
5season count
Red cards
0season count
3 figures here come from match-event data, which is not recorded for 2025/26.
Ranked against 109 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. Recoveries and defensive contribution come from the FPL feed and are ranked in its own positions.
This week
Gameweek 8
Next fixture
Gameweek 8
vsTottenham
Sat 24 Oct, 16:30 UTC
Tottenham concede 12.3 shots a match and are 1.05× the league norm against forwards. Roughly an average matchup.
Projected shots
2.90
2.87 per 90 × 1.01
Projected on target
1.09
1.12 per 90 × 0.98
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
26 appearances
Over 0.524 of 2692%± 5
Over 1.517 of 2665%± 9
Over 2.513 of 2650%± 10
Over 3.57 of 2627%± 9
The band is one standard error, the tick the estimate. Blanks count as misses, 2 of 26.
Ranked against 109 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
26 appearances, oldest first
over 1.5
v Palace4 shots 0 on target
1g
at Brentford5 shots 2 on target
at Leeds1 shot 0 on target
at Bournemouth1 shot 1 on target
1g
v Everton1 shot 1 on target
at Newcastle1 shot 0 on target
v Villa3 shots 1 on target
1g
v Bournemouth2 shots 1 on target
at Man City1 shot 0 on target
at Fulham2 shots 2 on target
1g
v Brentford2 shots 1 on target
v West Ham3 shots 1 on target
3g
at Wolves3 shots 3 on target
1g
v Leeds5 shots 2 on target
v Burnley4 shots 1 on target
at Arsenal1 shot 0 on target
1g
at Villa2 shots 2 on target
v Newcastle3 shots 1 on target
at Everton1 shot 0 on target
v Man City4 shots 1 on target
v Man Utd4 shots 0 on target
v Forest5 shots 2 on target
v Spurs3 shots 1 on target
1g
at Sunderland3 shots 2 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.
