FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Emir Karic

Darmstadt 98 · Left Back · DEF

Matches observed2
Pass attempts89
Limited sample

Actual completion

79.8%

71 completed passes

Pass difficulty

80.6%

How difficult a pass was to complete.

Actual vs. expected passing

-0.8 pp

-0.7 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

80.6%

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Under-pressure pass rate

6.7%

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Progressive pass rate

19.1%

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Long-pass rate

14.6%

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Average forward distance

7.6 units

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Positive forward distance / 100 passes

1073.0 units

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Final-third entries / 100 passes

16.854

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Carry share of actions

42.7%

25th percentile among DEF players

n = 94 eligible peers · sample 143

Progressive carry rate

3.3%

63rd percentile among DEF players

n = 87 eligible peers · sample 61

Progressive action rate

11.2%

62nd percentile among DEF players

n = 94 eligible peers · sample 143

Under-pressure action rate

13.3%

38th percentile among DEF players

n = 94 eligible peers · sample 143

Shots / observed match

1.00 / match

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

xG / shot

7.8%

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

-0.8 pp

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Under-pressure completion above expected

-16.6 pp

Unavailable among DEF players

n = 13 eligible peers · sample 6

requires 20 pressure passes

Progressive completion above expected

-2.9 pp

Unavailable among DEF players

n = 17 eligible peers · sample 17

requires 20 progressive passes

Long-pass completion above expected

+4.7 pp

Unavailable among DEF players

n = 21 eligible peers · sample 13

requires 20 long passes

Goals above expected

-0.155

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

Overall impact / 100 actions

0.032

63rd percentile among DEF players

n = 94 eligible peers · sample 143

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

Passing impact / 100 passes

-0.020

58th percentile among DEF players

n = 94 eligible peers · sample 82

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

Carrying impact / 100 carries

0.101

73rd percentile among DEF players

n = 87 eligible peers · sample 61

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

Progressive-action impact / 100 actions

0.021

65th percentile among DEF players

n = 94 eligible peers · sample 143

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

Under-pressure impact / 100 actions

0.008

32nd percentile among DEF players

n = 94 eligible peers · sample 143

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

Playing style

Direct Progressor

Position-relative style among eligible DEF players.

Style separation0.501

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty-0.56 z
Under-pressure pass rate-1.01 z
Progressive-pass rate+0.40 z
Long-pass rate-0.20 z
Positive forward distance / 100 passes+0.80 z
Carry share of actions-0.47 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 closer1.142
CloserFarther

Strongest alignment

  • Long Pass Rate
  • Pressure Pass Rate
  • Progressive 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

0.2

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
xG0.16
xG0.00 – 1.00
Foot
Corner
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

+0.032

Passing impact / 100 passes

-0.020

Carrying impact / 100 carries

+0.101

Progressive-action impact / 100 actions

+0.021

Under-pressure impact / 100 actions

+0.008

143 actions · 82 passes · 61 carries · 55.9% 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
50.0%
Pass difficulty
66.6%
Actual vs. expected passing
-16.6 pp

Limited sample — interpret this split cautiously.

Progressive passing

17 attempts

Limited sample
Actual
41.2%
Pass difficulty
44.1%
Actual vs. expected passing
-2.9 pp

Limited sample — interpret this split cautiously.

Long passing

13 attempts

Limited sample
Actual
46.2%
Pass difficulty
41.4%

Progression profile

Progressive-pass rate

19.1%

Pressure-pass rate

6.7%

Average forward distance

7.6 m

Positive forward distance / 100

1073.0 m

Final-third entries / 100

16.9

Campos visualization

Pass map

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

Showing 1–89 of 89 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
27.8%
Outcome
Completed
Attacking impact
0.0136
Value before
0.0135
Value after
0.0271
Length
35.0 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

Matthias Ginter

Freiburg · Right Center Back

Style similarity

78.0 / 100

Positive Forward Distance Per 100 PassesProgressive Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Jeffrey Gouweleeuw

Augsburg · Right Center Back

Style similarity

74.3 / 100

Actual vs. expected passing
+4.7 pp

Limited sample — interpret this split cautiously.

Progressive Pass RateExpected Completion RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Patrick Mainka

FC Heidenheim · Right Center Back

Style similarity

72.0 / 100

Positive Forward Distance Per 100 PassesCarry Share Of ActionsProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Matthias Bader

Darmstadt 98 · Right Back

Style similarity

70.3 / 100

Positive Forward Distance Per 100 PassesExpected Completion RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Maximilian Mittelstädt

VfB Stuttgart · Left Back

Style similarity

70.2 / 100

Carry Share Of ActionsExpected Completion RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Diogo Filipe Monteiro Pinto Leite

Union Berlin · Left Center Back

Style similarity

69.8 / 100

Positive Forward Distance Per 100 PassesLong Pass RateCarry Share Of Actions

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.