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Chelsea

Jorrel Hato

Defender20 yrs
Non-penalty xG per 90
0.030 non-penalty goals from 4 shots
Expected assists per 90
0.060 assists, 8 key passes
Finishing
-0.30goals above what the league converts the same chances into
Build-up per 90
0.464% of Chelsea’s build-up value

Jorrel Hato ranks 310th of 398 qualified players for attacking involvement, shooting from 13.5m on average, with 58% of their danger coming from set pieces.

Against their position

119 defenders

Shooting

per 90
Goals
0.00
Non-penalty goals
0.00
xG
0.03
Non-penalty xG
0.03
Shots
0.32
npxG per shot
–not ranked
Shot distance
–not ranked
Set-piece share
–not ranked
Goals against xG
-0.3

2 figures here come from match-event data, which is not recorded for 2025/26.

Creating

per 90
Assists
0.00
Expected assists
0.06
Key passes
0.64
npxG + xA
0.08
xG chain
0.49
xG build-up
0.46
Assists against xA
-0.7

On the ball

per 90

6 figures here come from match-event data, which is not recorded for 2025/26.

Defending

per 90
Recoveries
3.95
Defensive contribution
7.82

7 figures here come from match-event data, which is not recorded for 2025/26.

Discipline

per 90
Yellow cards
7season 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

vs Tottenham

Sat 24 Oct, 16:30 UTC

Tottenham concede 12.3 shots a match and are 1.30× the league norm against defenders. A favourable draw.

Projected shots
0.36

0.32 per 90 × 1.14

Projected on target
0.00

0.00 per 90 × 0.98

Season rate times what this opponent concedes, over a full ninety minutes. Check availability.

Shots

22 appearances
  • Over 0.53 of 2214%± 7
  • Over 1.51 of 225%± 4
  • Over 2.50 of 220%± 0
  • Over 3.50 of 220%± 0

The band is one standard error, the tick the estimate. Blanks count as misses, 19 of 22.

Shooting profile

4 shots

Where they shoot

4 shots
Every shotBy zone
Opponent goalLeftRight
GoalNo goalMark area is the chance’s expected goals

Jorrel Hato, 2025/26, 4 shots in the final 35m, 0 scored.

left
40%
Centre
60%
right
0%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.085
Shots per 90
0.32
Key passes per 90
0.64
Average shot distance
13.5m
From set pieces
58%

How the chances arrive

Crosses
0%
Through balls
0%
Own dribble
0%
Headed
0%

Club role

Chelsea

What they are for

  • On the pitch33% of available minutes.

What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Jorrel Hato’soutput.

Chances received

who supplies them
  1. Enzo Fernández0.1 xG1 shot, 0g
  2. Alejandro Garnacho0.1 xG1 shot, 0g

Chances created

who they supply
  1. João Pedro0.3 xG1 shot, 0g
  2. Pedro Neto0.1 xG2 shots, 0g
  3. Cole Palmer0.1 xG2 shots, 0g
  4. Moisés Caicedo0.1 xG1 shot, 0g
  5. Enzo Fernández0.0 xG1 shot, 0g

Season record

2025/26

Involvement in build-up

excludes their own shots and final passes

Jorrel Hato carries 3.6% of Chelsea’s build-up value.

  • Build-up per 900.463
    92% of defenders
  • Possession value per 900.491
    91% 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

22 appearances, oldest first

at Fulham2 shots
0 on target

v Burnley1 shot
0 on target

at Villa1 shot
0 on target

19 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 19 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.