FSFootyScout
PlayersTeam IntelligenceScoutingLeaderboardCompareArchetypesModel

FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Julian Chabot

FC Köln · Left Center Back · DEF

Matches observed2
Pass attempts83
Limited sample

Actual completion

85.5%

71 completed passes

Pass difficulty

86.6%

How difficult a pass was to complete.

Actual vs. expected passing

-1.1 pp

-0.9 completions vs model expectation

Actual pass completion compared with the model's expected completion.

Player intelligence

Position profile

DEF context · Each percentile is an empirical rank among eligible players in the same broad position group. Percentiles are not ratings.

Insufficient eligible position metrics for a meaningful radar.

Style

Tendencies describe what a player attempts; higher is not automatically better.

Pass difficulty

86.6%

Unavailable among DEF players

n = 23 eligible peers · sample 83

requires 100 passes

Under-pressure pass rate

16.9%

Unavailable among DEF players

n = 23 eligible peers · sample 83

requires 100 passes

Progressive pass rate

16.9%

Unavailable among DEF players

n = 23 eligible peers · sample 83

requires 100 passes

Long-pass rate

26.5%

Unavailable among DEF players

n = 23 eligible peers · sample 83

requires 100 passes

Average forward distance

10.0 units

Unavailable among DEF players

n = 23 eligible peers · sample 83

requires 100 passes

Positive forward distance / 100 passes

1317.6 units

Unavailable among DEF players

n = 23 eligible peers · sample 83

requires 100 passes

Final-third entries / 100 passes

7.229

Unavailable among DEF players

n = 23 eligible peers · sample 83

requires 100 passes

Carry share of actions

39.5%

9th percentile among DEF players

n = 94 eligible peers · sample 124

Progressive carry rate

0.0%

16th percentile among DEF players

n = 87 eligible peers · sample 49

Progressive action rate

8.1%

41st percentile among DEF players

n = 94 eligible peers · sample 124

Under-pressure action rate

18.5%

66th percentile among DEF players

n = 94 eligible peers · sample 124

Shots / observed match

1.00 / match

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

xG / shot

14.6%

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

-1.1 pp

Unavailable among DEF players

n = 23 eligible peers · sample 83

requires 100 passes

Under-pressure completion above expected

-0.5 pp

Unavailable among DEF players

n = 13 eligible peers · sample 14

requires 20 pressure passes

Progressive completion above expected

-12.0 pp

Unavailable among DEF players

n = 17 eligible peers · sample 14

requires 20 progressive passes

Long-pass completion above expected

-4.6 pp

25th percentile among DEF players

n = 21 eligible peers · sample 22

Goals above expected

-0.291

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

Overall impact / 100 actions

-0.018

26th percentile among DEF players

n = 94 eligible peers · sample 124

Weak split-half stability in the current 34-match product cohort.

Passing impact / 100 passes

-0.052

44th percentile among DEF players

n = 94 eligible peers · sample 75

Weak split-half stability in the current 34-match product cohort.

Carrying impact / 100 carries

0.034

20th percentile among DEF players

n = 87 eligible peers · sample 49

Moderate split-half stability; descriptive rather than latent ability.

Progressive-action impact / 100 actions

-0.039

18th percentile among DEF players

n = 94 eligible peers · sample 124

Weak split-half stability in the current 34-match product cohort.

Under-pressure impact / 100 actions

0.019

55th percentile among DEF players

n = 94 eligible peers · sample 124

Weak split-half stability in the current 34-match product cohort.

Playing style

Direct Progressor

Position-relative style among eligible DEF players.

Style separation0.346

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty+0.48 z
Under-pressure pass rate+0.83 z
Progressive-pass rate+0.09 z
Long-pass rate+1.59 z
Positive forward distance / 100 passes+1.81 z
Carry share of actions-1.60 z

Bars are z-scores relative to eligible positional peers, not percentiles or ratings. Distance-based style separation, not a probability. Smaller values mean the player lies nearer the boundary between the two archetypes.

Leverkusen Role Fit

DEF role

How closely a player's playing style matches this role. Compared with Bayer Leverkusen's observed DEF role.

Role distance · lower is closer1.824
CloserFarther

Strongest alignment

  • Expected Completion Rate
  • Progressive Pass Rate
  • Pressure Pass Rate

Largest difference

Positive Forward Distance Per 100 Passes

limited sampleObserved across 2 matchesRole: 34 matches · 9 contributors

Role Fit measures how closely a player's observed playing style resembles Bayer Leverkusen's observed positional-role style. It does not predict transfer success or future performance.

Expected Goals

Non-penalty shooting

Goals above expected is descriptive for this observed sample, not a definitive finishing-skill rating.

Limited sample

Shots

2

1 matches observed

Goals

0

Total xG

0.3

Goals above expected

-0.3

xG / shot

0.1

0.0% goals / shot

Limited sample: fewer than 20 non-penalty shots.

Campos visualization

Shot map

Non-penalty xG is encoded by marker size and color. Preserved penalties have no modeled xG.

Shots2
Goals0
xG0.29
xG0.00 – 1.00
Green outline = GoalNormal outline = Non-goal

Attacking impact

Impact of passes and carries

Measures how much each pass or carry changed the expected attacking value of a possession. Positive values improved the attack; negative values reduced it.

Reliable sample

Overall impact / 100 actions

-0.018

Passing impact / 100 passes

-0.052

Carrying impact / 100 carries

+0.034

Progressive-action impact / 100 actions

-0.039

Under-pressure impact / 100 actions

+0.019

124 actions · 75 passes · 49 carries · 46.8% increased attacking value

Campos visualization

Carry value map

Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.

Situational execution

Under pressure

14 attempts

Limited sample
Actual
85.7%
Pass difficulty
86.2%
Actual vs. expected passing
-0.5 pp

Limited sample — interpret this split cautiously.

Progressive passing

14 attempts

Limited sample
Actual
28.6%
Pass difficulty
40.6%
Actual vs. expected passing
-12.0 pp

Limited sample — interpret this split cautiously.

Long passing

22 attempts

Reliable sample
Actual
59.1%
Pass difficulty
63.7%

Progression profile

Progressive-pass rate

16.9%

Pressure-pass rate

16.9%

Average forward distance

10.0 m

Positive forward distance / 100

1317.6 m

Final-third entries / 100

7.2

Campos visualization

Pass map

Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.

Showing 1–83 of 83 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
25.6%
Outcome
Incomplete
Attacking impact
-0.0037
Value before
0.0037
Value after
0.0000
Length
49.0 m
Context
Progressive
Event clocks are not retained in the pass API.

Similar playing styles

Style similarity compares position-relative playing style across passing and carrying tendencies. Scores are not ability ratings.

100 means identical observed profiles; 50 is about the median same-position playing style match. Not a probability.

Limited sample: this player's style profile is based on 2 observed matches, so nearest-neighbor rankings may be less stable.

#1 · Same position group

Nico Schlotterbeck

Borussia Dortmund · Left Center Back

Style similarity

75.8 / 100

Carry Share Of ActionsProgressive Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Felix Uduokhai

Augsburg · Left Center Back

Style similarity

68.5 / 100

Actual vs. expected passing
-4.6 pp
Long Pass RatePositive Forward Distance Per 100 PassesProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Christoph Zimmermann

Darmstadt 98 · Right Center Back

Style similarity

67.9 / 100

Progressive Pass RateCarry Share Of ActionsLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Moritz Jenz

Wolfsburg · Center Back

Style similarity

64.5 / 100

Expected Completion RateLong Pass RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Willian Joel Pacho Tenorio

Eintracht Frankfurt · Left Center Back

Style similarity

63.6 / 100

Expected Completion RateProgressive Pass RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Timo Hübers

FC Köln · Right Center Back

Style similarity

61.7 / 100

Expected Completion RateProgressive Pass RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

Sample support uses the lower observed-match count in each pair. Lower coverage means a measured profile may vary more with additional matches; it never changes the style similarity or ranking.