FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Dejan Ljubicic

FC Köln · Center Attacking Midfield · MID

Matches observed2
Pass attempts61
Limited sample

Actual completion

73.8%

45 completed passes

Pass difficulty

84.3%

How difficult a pass was to complete.

Actual vs. expected passing

-10.6 pp

-6.4 completions vs model expectation

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

Player intelligence

Position profile

MID 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

84.3%

Unavailable among MID players

n = 13 eligible peers · sample 61

requires 100 passes

Under-pressure pass rate

29.5%

Unavailable among MID players

n = 13 eligible peers · sample 61

requires 100 passes

Progressive pass rate

6.6%

Unavailable among MID players

n = 13 eligible peers · sample 61

requires 100 passes

Long-pass rate

11.5%

Unavailable among MID players

n = 13 eligible peers · sample 61

requires 100 passes

Average forward distance

0.9 units

Unavailable among MID players

n = 13 eligible peers · sample 61

requires 100 passes

Positive forward distance / 100 passes

501.8 units

Unavailable among MID players

n = 13 eligible peers · sample 61

requires 100 passes

Final-third entries / 100 passes

8.197

Unavailable among MID players

n = 13 eligible peers · sample 61

requires 100 passes

Carry share of actions

42.6%

20th percentile among MID players

n = 61 eligible peers · sample 94

Progressive carry rate

5.0%

65th percentile among MID players

n = 66 eligible peers · sample 40

Progressive action rate

5.3%

32nd percentile among MID players

n = 61 eligible peers · sample 94

Under-pressure action rate

33.0%

88th percentile among MID players

n = 61 eligible peers · sample 94

Shots / observed match

1.00 / match

Unavailable among MID players

n = 5 eligible peers · sample 2

requires 20 shots

xG / shot

9.7%

Unavailable among MID players

n = 5 eligible peers · sample 2

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

-10.6 pp

Unavailable among MID players

n = 13 eligible peers · sample 61

requires 100 passes

Under-pressure completion above expected

-12.0 pp

Unavailable among MID players

n = 10 eligible peers · sample 18

requires 20 pressure passes

Progressive completion above expected

-8.4 pp

Unavailable among MID players

n = 9 eligible peers · sample 4

requires 20 progressive passes

Long-pass completion above expected

+0.2 pp

Unavailable among MID players

n = 9 eligible peers · sample 7

requires 20 long passes

Goals above expected

-0.193

Unavailable among MID players

n = 5 eligible peers · sample 2

requires 20 shots

Overall impact / 100 actions

0.030

67th percentile among MID players

n = 61 eligible peers · sample 94

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

Passing impact / 100 passes

-0.011

72nd percentile among MID players

n = 58 eligible peers · sample 54

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

Carrying impact / 100 carries

0.087

52nd percentile among MID players

n = 66 eligible peers · sample 40

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

Progressive-action impact / 100 actions

0.116

92nd percentile among MID players

n = 61 eligible peers · sample 94

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

Under-pressure impact / 100 actions

0.020

35th percentile among MID players

n = 61 eligible peers · sample 94

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

Playing style

Safe Circulator

Position-relative style among eligible MID players.

Style separation0.225

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty-0.39 z
Under-pressure pass rate+2.24 z
Progressive-pass rate-0.92 z
Long-pass rate-0.18 z
Positive forward distance / 100 passes-0.72 z
Carry share of actions-0.85 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

MID role

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

Role distance · lower is closer1.212
CloserFarther

Strongest alignment

  • Long Pass Rate
  • Positive Forward Distance Per 100 Passes
  • Expected Completion Rate

Largest difference

Pressure Pass Rate

limited sampleObserved across 2 matchesRole: 34 matches · 10 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

2 matches observed

Goals

0

Total xG

0.2

Goals above expected

-0.2

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
xG0.19
xG0.00 – 1.00
Foot
Header
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

+0.030

Passing impact / 100 passes

-0.011

Carrying impact / 100 carries

+0.087

Progressive-action impact / 100 actions

+0.116

Under-pressure impact / 100 actions

+0.020

94 actions · 54 passes · 40 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

18 attempts

Limited sample
Actual
72.2%
Pass difficulty
84.2%
Actual vs. expected passing
-12.0 pp

Limited sample — interpret this split cautiously.

Progressive passing

4 attempts

Limited sample
Actual
25.0%
Pass difficulty
33.4%
Actual vs. expected passing
-8.4 pp

Limited sample — interpret this split cautiously.

Long passing

7 attempts

Limited sample
Actual
71.4%
Pass difficulty
71.2%

Progression profile

Progressive-pass rate

6.6%

Pressure-pass rate

29.5%

Average forward distance

0.9 m

Positive forward distance / 100

501.8 m

Final-third entries / 100

8.2

Campos visualization

Pass map

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

Showing 1–61 of 61 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
99.3%
Outcome
Completed
Attacking impact
-0.0016
Value before
0.0056
Value after
0.0041
Length
9.1 m
Context
Standard
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

Leandro Barreiro Martins

FSV Mainz 05 · Right Defensive Midfield

Style similarity

64.0 / 100

Progressive Pass RateExpected Completion RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Julian Brandt

Borussia Dortmund · Center Attacking Midfield

Style similarity

60.9 / 100

Actual vs. expected passing
+0.2 pp

Limited sample — interpret this split cautiously.

Expected Completion RateProgressive Pass RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Nicolas Höfler

Freiburg · Right Defensive Midfield

Style similarity

59.5 / 100

Long Pass RateCarry Share Of ActionsPositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Grischa Prömel

Hoffenheim · Left Center Midfield

Style similarity

57.2 / 100

Long Pass RateExpected Completion RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Bartol Franjić

Darmstadt 98 · Right Defensive Midfield

Style similarity

57.1 / 100

Positive Forward Distance Per 100 PassesProgressive Pass RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Emre Can

Borussia Dortmund · Center Defensive Midfield

Style similarity

55.6 / 100

Progressive Pass RatePositive Forward Distance Per 100 PassesExpected Completion 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.