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Tottenham

Timo Werner

Forward
Non-penalty xG per 90
0.180 non-penalty goals from 8 shots
Expected assists per 90
0.573 assists, 10 key passes
Finishing
-0.86goals above what the league converts the same chances into
Build-up per 90
0.321% of Tottenham’s build-up value

Timo Werner ranks 11th of 397 qualified players for attacking involvement, shooting from 19.3m on average. They carry 3% of Tottenham’s attacking involvement, the 11th largest share in the squad.

Against their position

104 forwards

Shooting

per 90
Goals
0.00
Non-penalty goals
0.00
xG
0.18
Non-penalty xG
0.18
Shots
1.48
npxG per shot
–not ranked
Shot distance
–not ranked
Set-piece share
–not ranked
Goals against xG
-1.0

2 figures here come from match-event data, which is not recorded for 2024/25.

Creating

per 90
Assists
0.55
Expected assists
0.57
Key passes
1.84
npxG + xA
0.74
xG chain
1.05
xG build-up
0.32
Assists against xA
-0.1

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
0season 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

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

18 appearances
  • Over 0.55 of 1828%± 11
  • Over 1.53 of 1817%± 9
  • Over 2.50 of 180%± 0
  • Over 3.50 of 180%± 0

The band is one standard error, the tick the estimate. Blanks count as misses, 13 of 18.

Shooting profile

8 shots

Where they shoot

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

Timo Werner, 2024/25, 8 shots in the final 35m, 0 scored.

left
77%
Centre
23%
right
0%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.119
Shots per 90
1.48
Key passes per 90
1.84
Average shot distance
19.3m
From set pieces
0%

How the chances arrive

Crosses
3%
Through balls
40%
Own dribble
0%
Headed
3%

Club role

Tottenham

What they are for

  • On the pitch14% of available minutes.

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

Chances received

who supplies them
  1. Dejan Kulusevski0.6 xG2 shots, 0g
  2. Son Heung-Min0.1 xG1 shot, 0g
  3. Lucas Bergvall0.0 xG1 shot, 0g
  4. Pedro Porro0.0 xG2 shots, 0g
  5. Iyenoma Destiny Udogie0.0 xG1 shot, 0g

Chances created

who they supply
  1. Brennan Johnson1.9 xG3 shots, 2g
  2. Son Heung-Min0.7 xG2 shots, 0g
  3. Dominic Solanke0.2 xG2 shots, 0g
  4. James Maddison0.2 xG2 shots, 1g
  5. Iyenoma Destiny Udogie0.1 xG1 shot, 0g

Season record

2024/25

Involvement in build-up

excludes their own shots and final passes

Timo Werner carries 1.4% of Tottenham’s build-up value.

  • Build-up per 900.316
    84% of forwards
  • Possession value per 901.045
    98% of forwards

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

18 appearances, oldest first

at Man Utd2 shots
2 on target

at Brighton2 shots
0 on target

v West Ham1 shot
1 on target

v Ipswich2 shots
0 on target

at Bournemouth1 shot
0 on target

13 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 13 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.