FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Christoph Zimmermann

Darmstadt 98 · Right Center Back · DEF

Matches observed2
Pass attempts55
Limited sample

Actual completion

83.6%

46 completed passes

Pass difficulty

82.3%

How difficult a pass was to complete.

Actual vs. expected passing

+1.4 pp

+0.8 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

82.3%

Unavailable among DEF players

n = 23 eligible peers · sample 55

requires 100 passes

Under-pressure pass rate

10.9%

Unavailable among DEF players

n = 23 eligible peers · sample 55

requires 100 passes

Progressive pass rate

16.4%

Unavailable among DEF players

n = 23 eligible peers · sample 55

requires 100 passes

Long-pass rate

21.8%

Unavailable among DEF players

n = 23 eligible peers · sample 55

requires 100 passes

Average forward distance

7.6 units

Unavailable among DEF players

n = 23 eligible peers · sample 55

requires 100 passes

Positive forward distance / 100 passes

1110.7 units

Unavailable among DEF players

n = 23 eligible peers · sample 55

requires 100 passes

Final-third entries / 100 passes

7.273

Unavailable among DEF players

n = 23 eligible peers · sample 55

requires 100 passes

Carry share of actions

38.5%

6th percentile among DEF players

n = 94 eligible peers · sample 78

Progressive carry rate

3.3%

65th percentile among DEF players

n = 87 eligible peers · sample 30

Progressive action rate

10.3%

54th percentile among DEF players

n = 94 eligible peers · sample 78

Under-pressure action rate

11.5%

28th percentile among DEF players

n = 94 eligible peers · sample 78

Shots / observed match

0.50 / match

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

xG / shot

6.8%

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

+1.4 pp

Unavailable among DEF players

n = 23 eligible peers · sample 55

requires 100 passes

Under-pressure completion above expected

-2.7 pp

Unavailable among DEF players

n = 13 eligible peers · sample 6

requires 20 pressure passes

Progressive completion above expected

+5.8 pp

Unavailable among DEF players

n = 17 eligible peers · sample 9

requires 20 progressive passes

Long-pass completion above expected

+1.3 pp

Unavailable among DEF players

n = 21 eligible peers · sample 12

requires 20 long passes

Goals above expected

-0.068

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

0.029

62nd percentile among DEF players

n = 94 eligible peers · sample 78

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

Passing impact / 100 passes

0.023

75th percentile among DEF players

n = 94 eligible peers · sample 48

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

Carrying impact / 100 carries

0.039

22nd percentile among DEF players

n = 87 eligible peers · sample 30

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

Progressive-action impact / 100 actions

0.015

60th percentile among DEF players

n = 94 eligible peers · sample 78

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

Under-pressure impact / 100 actions

-0.022

6th percentile among DEF players

n = 94 eligible peers · sample 78

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

Playing style

Direct Progressor

Position-relative style among eligible DEF players.

Style separation0.456

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty-0.27 z
Under-pressure pass rate-0.25 z
Progressive-pass rate+0.02 z
Long-pass rate+0.89 z
Positive forward distance / 100 passes+0.96 z
Carry share of actions-1.98 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 closer1.579
CloserFarther

Strongest alignment

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

Largest difference

Carry Share Of Actions

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

1

1 matches observed

Goals

0

Total xG

0.1

Goals above expected

-0.1

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.

Shots1
Goals0
xG0.07
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

+0.029

Passing impact / 100 passes

+0.023

Carrying impact / 100 carries

+0.039

Progressive-action impact / 100 actions

+0.015

Under-pressure impact / 100 actions

-0.022

78 actions · 48 passes · 30 carries · 60.3% 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

6 attempts

Limited sample
Actual
66.7%
Pass difficulty
69.4%
Actual vs. expected passing
-2.7 pp

Limited sample — interpret this split cautiously.

Progressive passing

9 attempts

Limited sample
Actual
44.4%
Pass difficulty
38.6%
Actual vs. expected passing
+5.8 pp

Limited sample — interpret this split cautiously.

Long passing

12 attempts

Limited sample
Actual
66.7%
Pass difficulty
65.3%

Progression profile

Progressive-pass rate

16.4%

Pressure-pass rate

10.9%

Average forward distance

7.6 m

Positive forward distance / 100

1110.7 m

Final-third entries / 100

7.3

Campos visualization

Pass map

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

Showing 1–55 of 55 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
46.0%
Outcome
Completed
Attacking impact
0.0079
Value before
0.0066
Value after
0.0144
Length
53.9 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

81.8 / 100

Positive Forward Distance Per 100 PassesLong Pass RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Felix Uduokhai

Augsburg · Left Center Back

Style similarity

68.1 / 100

Actual vs. expected passing
+1.3 pp

Limited sample — interpret this split cautiously.

Pressure Pass RateExpected Completion RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Julian Chabot

FC Köln · Left 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

Patrick Mainka

FC Heidenheim · Right Center Back

Style similarity

65.1 / 100

Positive Forward Distance Per 100 PassesProgressive Pass RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Matthias Ginter

Freiburg · Right Center Back

Style similarity

64.3 / 100

Positive Forward Distance Per 100 PassesExpected Completion RatePressure 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

64.1 / 100

Positive Forward Distance Per 100 PassesLong 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.