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Igor Julio

Defender28 yrs
Unavailable
Non-penalty xG per 90
0.010 non-penalty goals from 5 shots
Expected assists per 90
0.030 assists, 7 key passes
Finishing
-0.21goals above what the league converts the same chances into
Build-up per 90
0.567% of Brighton’s build-up value

Igor Julio ranks 350th of 402 qualified players for attacking involvement, shooting from 20.3m on average, with 70% of their danger coming from set pieces.

Unavailable. Has joined Burnley permanently. The rates below describe what he did, not what he is about to do. Club status as of 17 Oct 2026.

Against their position

135 defenders

Shooting

per 90
Goals
0.00
Non-penalty goals
0.00
xG
0.01
Non-penalty xG
0.01
Shots
0.27
npxG per shot
–not ranked
Shot distance
–not ranked
Set-piece share
–not ranked
Goals against xG
-0.2

2 figures here come from match-event data, which is not recorded for 2023/24.

Creating

per 90
Assists
0.00
Expected assists
0.03
Key passes
0.38
npxG + xA
0.05
xG chain
0.57
xG build-up
0.56
Assists against xA
-0.6

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
4season count
Red cards
0season count

3 figures here come from match-event data, which is not recorded for 2023/24.

Ranked against 135 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.

This week

Gameweek 7

Next fixture

Gameweek 7

vs Crystal Palace

Sun 18 Oct, 13:00 UTC

Crystal Palace concede 12.1 shots a match and are 1.19× the league norm against defenders. Roughly an average matchup.

Projected shots
0.28

0.27 per 90 × 1.03

Projected on target
0.00

0.00 per 90 × 0.83

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

Shots

24 appearances
  • Over 0.54 of 2417%± 8
  • Over 1.51 of 244%± 4
  • Over 2.50 of 240%± 0
  • Over 3.50 of 240%± 0

The band is one standard error, the tick the estimate. Blanks count as misses, 20 of 24.

Shooting profile

5 shots

Where they shoot

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

Igor Julio, 2023/24, 5 shots in the final 35m, 0 scored.

left
65%
Centre
35%
right
0%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.044
Shots per 90
0.27
Key passes per 90
0.38
Average shot distance
20.3m
From set pieces
70%

How the chances arrive

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

Club role

Brighton

What they are for

  • On the pitch48% of available minutes.

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

Chances received

who supplies them
  1. Billy Gilmour0.1 xG1 shot, 0g
  2. Pascal Groß0.0 xG1 shot, 0g
  3. Carlos Baleba0.0 xG1 shot, 0g

Chances created

who they supply
  1. João Pedro0.4 xG2 shots, 0g
  2. Simon Adingra0.1 xG2 shots, 0g
  3. Carlos Baleba0.0 xG1 shot, 0g
  4. Valentín Barco0.0 xG1 shot, 0g
  5. Lewis Dunk0.0 xG1 shot, 0g

Season record

2023/24

Involvement in build-up

excludes their own shots and final passes

Igor Julio carries 6.6% of Brighton’s build-up value.

  • Build-up per 900.563
    95% of defenders
  • Possession value per 900.573
    87% of defenders

Ranked against 135 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

24 appearances, oldest first

v Fulham1 shot
0 on target

v Brentford1 shot
0 on target

at Brentford2 shots
0 on target

at Bournemouth1 shot
0 on target

20 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 20 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.