+3.73goals above what the league converts the same chances into
Build-up per 90
0.113% of Crystal Palace’s build-up value
league 0.28
Jean-Philippe Mateta ranks 50th of 402 qualified players for attacking involvement, shooting from 12.3m on average, with 21% of their danger coming from set pieces. They carry 13% of Crystal Palace’s attacking involvement, the 2nd largest share in the squad.
Injured. Hamstring injury - Expected back 18 Oct. The rates below describe what he did, not what he is about to do. Club status as of 17 Oct 2026.
Against their position
107 forwards
Shooting
per 90
Goals
0.6389th
Non-penalty goals
0.5589th
xG
0.4876th
Non-penalty xG
0.4269th
Shots
1.8017th
npxG per shot
0.2396th
Shot distance
12.3m91st
Set-piece share
21%64th
Goals against xG
+3.293rd
2 figures here come from match-event data, which is not recorded for 2023/24.
Creating
per 90
Assists
0.2062nd
Expected assists
0.1442nd
Key passes
1.2554th
npxG + xA
0.5657th
xG chain
0.6153rd
xG build-up
0.1120th
Assists against xA
+1.585th
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
3season count
Red cards
0season count
3 figures here come from match-event data, which is not recorded for 2023/24.
Ranked against 107 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 toBrighton
Sun 18 Oct, 13:00 UTC
Brighton concede 12.4 shots a match and are 1.04× the league norm against forwards. Roughly an average matchup.
Projected shots
1.74
1.80 per 90 × 0.97
Projected on target
0.96
1.06 per 90 × 0.91
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
35 appearances
Over 0.525 of 3571%± 8
Over 1.512 of 3534%± 8
Over 2.56 of 3517%± 6
Over 3.53 of 359%± 5
The band is one standard error, the tick the estimate. Blanks count as misses, 10 of 35.
Ranked against 107 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
35 appearances, oldest first
over 1.5
v Fulham1 shot 1 on target
v Forest2 shots 1 on target
at Newcastle1 shot 0 on target
at Luton1 shot 1 on target
1g
v Liverpool2 shots 1 on target
1g
at Man City1 shot 1 on target
v Brighton4 shots 1 on target
at Chelsea1 shot 1 on target
v Sheffield Utd1 shot 0 on target
1g
at Brighton1 shot 1 on target
v Chelsea2 shots 1 on target
at Everton2 shots 0 on target
1g
v Burnley2 shots 1 on target
at Spurs1 shot 0 on target
1g
v Luton4 shots 2 on target
1g
at Forest2 shots 1 on target
at Bournemouth1 shot 1 on target
1g
v Man City1 shot 1 on target
at Liverpool3 shots 1 on target
2g
v West Ham3 shots 3 on target
2g
v Newcastle4 shots 3 on target
at Fulham1 shot 0 on target
1g
v Man Utd1 shot 1 on target
1g
at Wolves1 shot 1 on target
3g
v Villa3 shots 3 on target
10 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 10 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.
