+0.78goals above what the league converts the same chances into
Build-up per 90
0.296% of Brighton’s build-up value
league 0.27
Kaoru Mitoma ranks 52nd of 397 qualified players for attacking involvement, shooting from 15.1m on average. They carry 14% of Brighton’s attacking involvement, the 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
104 forwards
Shooting
per 90
Goals
0.3560th
Non-penalty goals
0.3565th
xG
0.3556th
Non-penalty xG
0.3560th
Shots
1.9735th
npxG per shot
0.1876th
Shot distance
15.1m59th
Set-piece share
1%3rd
Goals against xG
-0.265th
2 figures here come from match-event data, which is not recorded for 2024/25.
Creating
per 90
Assists
0.1448th
Expected assists
0.1758th
Key passes
1.2853rd
npxG + xA
0.5257th
xG chain
0.7478th
xG build-up
0.2978th
Assists against xA
-0.932nd
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
1season count
Red cards
0season count
3 figures here come from match-event data, which is not recorded for 2024/25.
Ranked against 104 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
vsCrystal Palace
Sun 18 Oct, 13:00 UTC
Crystal Palace concede 12.8 shots a match and are 1.09× the league norm against forwards. Roughly an average matchup.
Projected shots
2.04
1.97 per 90 × 1.04
Projected on target
0.83
0.93 per 90 × 0.89
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
36 appearances
Over 0.528 of 3678%± 7
Over 1.520 of 3656%± 8
Over 2.57 of 3619%± 7
Over 3.52 of 366%± 4
The band is one standard error, the tick the estimate. Blanks count as misses, 8 of 36.
Ranked against 104 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
36 appearances, oldest first
over 1.5
1g
at Everton4 shots 3 on target
at Arsenal1 shot 0 on target
v Ipswich3 shots 2 on target
at Chelsea2 shots 0 on target
v Spurs3 shots 1 on target
at Newcastle2 shots 1 on target
v Wolves4 shots 1 on target
at Liverpool2 shots 0 on target
v Man City1 shot 1 on target
1g
at Bournemouth1 shot 1 on target
1g
v Southampton2 shots 1 on target
at Fulham1 shot 0 on target
at Leicester1 shot 0 on target
v Palace3 shots 1 on target
at West Ham2 shots 1 on target
v Brentford2 shots 0 on target
1g
at Ipswich2 shots 2 on target
1g
at Man Utd1 shot 1 on target
v Everton2 shots 0 on target
1g
v Chelsea2 shots 2 on target
1g
at Southampton2 shots 1 on target
v Bournemouth2 shots 0 on target
at Man City2 shots 2 on target
v Villa2 shots 2 on target
at Palace1 shot 0 on target
1g
at Brentford3 shots 1 on target
1g
v West Ham1 shot 1 on target
1g
v Liverpool3 shots 2 on target
8 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 8 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.