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Gonzalo García

Forward22 yrsPenalties 1st
Non-penalty xG per 90
0.571 non-penalty goals from 19 shots
Expected assists per 90
0.160 assists, 5 key passes
Finishing
-2.40goals above what the league converts the same chances into
Build-up per 90
0.285% of Fulham’s build-up value

Gonzalo García ranks 6th of 138 qualified players for attacking involvement, shooting from 13.8m on average. They carry 19% of Fulham’s attacking involvement, the largest share in the squad.

Against their position

23 forwards

Average match rating6.97

Shooting

per 90
Goals
0.15
Non-penalty goals
0.15
xG
0.57
Non-penalty xG
0.57
Shots
2.84
Shots on target
0.33
Shot accuracy
9%not ranked
npxG per shot
0.20
Shot distance
13.8m
Set-piece share
6%
Goals against xG
-2.8

Creating

per 90
Assists
0.00
Expected assists
0.16
Key passes
0.75
npxG + xA
0.73
xG chain
0.91
xG build-up
0.28
Assists against xA
-1.1

On the ball

per 90
Touches
39.33
Passes
22.00
Pass completion
79%
Take-ons attempted
2.67
Take-on success
–not ranked
Dispossessed
1.33

Defending

per 90
Tackles
2.00
Tackles won
–not ranked
Interceptions
0.33
Clearances
1.00
Aerials won
3.33
Aerial success
53%
Dribbled past
1.33

Discipline

per 90
Fouls committed
1.67
Caught offside
0.33
Errors
0season count
Yellow cards
0season count
Red cards
0season count

Ranked against 23 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 8

Next fixture

Gameweek 8

away to Coventry

Sat 24 Oct, 14:00 UTC

Coventry concede 17.7 shots a match and are 1.21× the league norm against central attack (34 shots so far). A favourable draw.

Projected shots
3.53

2.84 per 90 × 1.24

Projected on target
0.28

0.30 per 90 × 0.93

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

Shots

7 appearances
  • Over 0.56 of 786%± 13
  • Over 1.55 of 771%± 17
  • Over 2.55 of 771%± 17
  • Over 3.51 of 714%± 13

The band is one standard error, the tick the estimate. Blanks count as misses, 1 of 7.

Shooting profile

19 shots

Where they shoot

19 shots
Opponent goalLeftRight
GoalNo goalMark area is the chance’s expected goals

Gonzalo García, 2026/27, 18 shots in the final 35m, 1 scored.

left
17%
Centre
79%
right
4%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.200
Shots per 90
2.84
Key passes per 90
0.75
Average shot distance
13.8m
From set pieces
6%

How the chances arrive

Crosses
10%
Through balls
25%
Own dribble
1%
Headed
29%

Club role

Fulham

What they are for

  • 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 Gonzalo García’soutput.

Chances received

who supplies them
  1. Joshua King0.8 xG2 shots, 0g
  2. Alex Iwobi0.7 xG3 shots, 0g
  3. Sander Berge0.4 xG2 shots, 0g
  4. Oscar Bobb0.4 xG3 shots, 0g
  5. Antonee Robinson0.2 xG3 shots, 0g

Chances created

who they supply
  1. Alex Iwobi0.5 xG2 shots, 0g
  2. César Palacios0.1 xG1 shot, 0g

Season record

2026/27

Involvement in build-up

excludes their own shots and final passes

Gonzalo García carries 4.9% of Fulham’s build-up value.

  • Build-up per 900.276
    75% of forwards
  • Possession value per 900.906
    81% of forwards

Ranked against 16 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

7 appearances, oldest first
1g

v Chelsea3 shots
1 on target

at Sunderland3 shots
0 on target

v Palace5 shots
0 on target

at Liverpool1 shot
0 on target

v Man Utd3 shots
0 on target

at Ipswich3 shots
1 on target

1 blankno 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 one 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.