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Tottenham

Kevin Danso

Defender28 yrs
Non-penalty xG per 90
0.030 non-penalty goals from 11 shots
Expected assists per 90
0.010 assists, 2 key passes
Finishing
-0.46goals above what the league converts the same chances into
Build-up per 90
0.102% of Tottenham’s build-up value

Kevin Danso ranks 354th of 398 qualified players for attacking involvement, shooting from 11.7m on average, with 100% 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
0.66
npxG per shot
0.05
Shot distance
11.7m
Set-piece share
100%
Goals against xG
-0.5

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

Creating

per 90
Assists
0.00
Expected assists
0.01
Key passes
0.12
npxG + xA
0.04
xG chain
0.10
xG build-up
0.10
Assists against xA
-0.2

On the ball

per 90

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

Defending

per 90
Recoveries
2.72
Defensive contribution
11.61

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

Discipline

per 90
Yellow cards
8season 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

away to Bournemouth

Sun 18 Oct, 13:00 UTC

Bournemouth concede 12.6 shots a match and are 0.91× the league norm against defenders. Roughly an average matchup.

Projected shots
0.64

0.66 per 90 × 0.96

Projected on target
0.12

0.12 per 90 × 1.02

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

Shots

24 appearances
  • Over 0.56 of 2425%± 9
  • Over 1.53 of 2413%± 7
  • Over 2.51 of 244%± 4
  • Over 3.51 of 244%± 4

The band is one standard error, the tick the estimate. Blanks count as misses, 18 of 24.

Shooting profile

11 shots

Where they shoot

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

Kevin Danso, 2025/26, 11 shots in the final 35m, 0 scored.

left
46%
Centre
52%
right
2%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.048
Shots per 90
0.66
Key passes per 90
0.12
Average shot distance
11.7m
From set pieces
100%

How the chances arrive

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

Club role

Tottenham

What they are for

  • On the pitch44% of available minutes.

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

Chances received

who supplies them
  1. Pedro Porro0.2 xG5 shots, 0g
  2. Mathys Tel0.2 xG3 shots, 0g
  3. João Palhinha0.1 xG1 shot, 0g
  4. Richarlison0.0 xG1 shot, 0g

Chances created

who they supply
  1. Richarlison0.2 xG2 shots, 0g

Season record

2025/26

Involvement in build-up

excludes their own shots and final passes

Kevin Danso carries 2.3% of Tottenham’s build-up value.

  • Build-up per 900.096
    4% of defenders
  • Possession value per 900.100
    3% 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

24 appearances, oldest first

v Brentford1 shot
0 on target

v Palace2 shots
1 on target

v Forest1 shot
0 on target

at Villa2 shots
1 on target

v Leeds1 shot
0 on target

v Everton4 shots
0 on target

18 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 18 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.