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Tottenham

Iyenoma Destiny Udogie

Defender23 yrs
Non-penalty xG per 90
0.010 non-penalty goals from 4 shots
Expected assists per 90
0.081 assists, 12 key passes
Finishing
-0.19goals above what the league converts the same chances into
Build-up per 90
0.296% of Tottenham’s build-up value

Iyenoma Destiny Udogie ranks 301st of 398 qualified players for attacking involvement, shooting from 14.8m on average.

Against their position

119 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 2025/26.

Creating

per 90
Assists
0.07
Expected assists
0.08
Key passes
0.80
npxG + xA
0.09
xG chain
0.35
xG build-up
0.29
Assists against xA
-0.1

On the ball

per 90

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

Defending

per 90
Recoveries
4.72
Defensive contribution
4.58

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

Discipline

per 90
Yellow cards
4season 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 7

Next fixture

Gameweek 7

vs Coventry

Mon 19 Oct, 19:00 UTC

No shot record for Coventry in this season, so no opponent adjustment is possible. Newly promoted sides have no Premier League history to measure.

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

Shots

20 appearances
  • Over 0.54 of 2020%± 9
  • Over 1.50 of 200%± 0
  • Over 2.50 of 200%± 0
  • Over 3.50 of 200%± 0

The band is one standard error, the tick the estimate. Blanks count as misses, 16 of 20.

Shooting profile

4 shots

Where they shoot

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

Iyenoma Destiny Udogie, 2025/26, 4 shots in the final 35m, 0 scored.

left
100%
Centre
0%
right
0%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.055
Shots per 90
0.27
Key passes per 90
0.80
Average shot distance
14.8m
From set pieces
5%

How the chances arrive

Crosses
0%
Through balls
0%
Own dribble
22%
Headed
0%

Club role

Tottenham

What they are for

  • On the pitch39% of available minutes.

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

Chances received

who supplies them
  1. Xavi Simons0.1 xG1 shot, 0g
  2. João Palhinha0.0 xG1 shot, 0g
  3. Mohammed Kudus0.0 xG1 shot, 0g

Chances created

who they supply
  1. Mohammed Kudus0.3 xG1 shot, 0g
  2. Lucas Bergvall0.3 xG1 shot, 0g
  3. Mathys Tel0.1 xG2 shots, 1g
  4. Micky van de Ven0.1 xG2 shots, 0g
  5. Xavi Simons0.1 xG2 shots, 0g

Season record

2025/26

Involvement in build-up

excludes their own shots and final passes

Iyenoma Destiny Udogie carries 6.2% of Tottenham’s build-up value.

  • Build-up per 900.287
    69% of defenders
  • Possession value per 900.347
    69% 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

20 appearances, oldest first

v Bournemouth1 shot
0 on target

v Fulham1 shot
0 on target

v Man City1 shot
1 on target

v Everton1 shot
0 on target

16 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 16 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.