FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Min Jae Kim

Bayern Munich · Left Center Back · DEF

Matches observed2
Pass attempts178
Reliable sample

Actual completion

92.7%

165 completed passes

Pass difficulty

90.9%

How difficult a pass was to complete.

Actual vs. expected passing

+1.8 pp

+3.2 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.

102030405060708090Under-pressure pass rateProgressive pass rateLong-pass rateProgressive carry rateActual vs. expected passingCarrying impact / 100 carries
Style
Performance
0–100 empirical percentiles among eligible same-position peers.

Style

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

Pass difficulty

90.9%

91st percentile among DEF players

n = 23 eligible peers · sample 178

Under-pressure pass rate

9.0%

23rd percentile among DEF players

n = 23 eligible peers · sample 178

Progressive pass rate

6.2%

9th percentile among DEF players

n = 23 eligible peers · sample 178

Long-pass rate

12.4%

36th percentile among DEF players

n = 23 eligible peers · sample 178

Average forward distance

7.3 units

73rd percentile among DEF players

n = 23 eligible peers · sample 178

Positive forward distance / 100 passes

884.7 units

64th percentile among DEF players

n = 23 eligible peers · sample 178

Final-third entries / 100 passes

6.180

27th percentile among DEF players

n = 23 eligible peers · sample 178

Carry share of actions

43.8%

48th percentile among DEF players

n = 94 eligible peers · sample 313

Progressive carry rate

0.7%

34th percentile among DEF players

n = 87 eligible peers · sample 137

Progressive action rate

3.5%

6th percentile among DEF players

n = 94 eligible peers · sample 313

Under-pressure action rate

7.7%

14th percentile among DEF players

n = 94 eligible peers · sample 313

Shots / observed match

0.50 / match

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

xG / shot

12.9%

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

+1.8 pp

77th percentile among DEF players

n = 23 eligible peers · sample 178

Under-pressure completion above expected

-1.1 pp

Unavailable among DEF players

n = 13 eligible peers · sample 16

requires 20 pressure passes

Progressive completion above expected

+5.6 pp

Unavailable among DEF players

n = 17 eligible peers · sample 11

requires 20 progressive passes

Long-pass completion above expected

-1.3 pp

55th percentile among DEF players

n = 21 eligible peers · sample 22

Goals above expected

-0.129

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

0.006

44th percentile among DEF players

n = 94 eligible peers · sample 313

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

Passing impact / 100 passes

0.005

68th percentile among DEF players

n = 94 eligible peers · sample 176

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

Carrying impact / 100 carries

0.006

0th percentile among DEF players

n = 87 eligible peers · sample 137

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

Progressive-action impact / 100 actions

-0.014

33rd percentile among DEF players

n = 94 eligible peers · sample 313

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

Under-pressure impact / 100 actions

-0.004

14th percentile among DEF players

n = 94 eligible peers · sample 313

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

Playing style

Safe Circulator

Position-relative style among eligible DEF players.

Style separation0.553

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+1.21 z
Under-pressure pass rate-0.60 z
Progressive-pass rate-1.39 z
Long-pass rate-0.53 z
Positive forward distance / 100 passes+0.03 z
Carry share of actions-0.07 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 closer0.685
CloserFarther

Strongest alignment

  • Long Pass Rate
  • Pressure Pass Rate
  • Expected Completion 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

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
xG0.13
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

+0.006

Passing impact / 100 passes

+0.005

Carrying impact / 100 carries

+0.006

Progressive-action impact / 100 actions

-0.014

Under-pressure impact / 100 actions

-0.004

313 actions · 176 passes · 137 carries · 64.9% 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

16 attempts

Limited sample
Actual
68.8%
Pass difficulty
69.9%
Actual vs. expected passing
-1.1 pp

Limited sample — interpret this split cautiously.

Progressive passing

11 attempts

Limited sample
Actual
45.5%
Pass difficulty
39.8%
Actual vs. expected passing
+5.6 pp

Limited sample — interpret this split cautiously.

Long passing

22 attempts

Reliable sample
Actual
72.7%
Pass difficulty
74.0%

Progression profile

Progressive-pass rate

6.2%

Pressure-pass rate

9.0%

Average forward distance

7.3 m

Positive forward distance / 100

884.7 m

Final-third entries / 100

6.2

Campos visualization

Pass map

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

Showing 1–178 of 178 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
98.6%
Outcome
Completed
Attacking impact
0.0009
Value before
0.0091
Value after
0.0100
Length
18.4 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

Piero Martín Hincapié Reyna

Bayer Leverkusen · Left Center Back

Style similarity

79.6 / 100

Expected Completion RatePressure Pass RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 25 matches

#2 · Same position group

Jonathan Tah

Bayer Leverkusen · Center Back

Style similarity

79.4 / 100

Actual vs. expected passing
-1.3 pp
Progressive Pass RateExpected Completion RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 31 matches

#3 · Same position group

Odilon Kossonou

Bayer Leverkusen · Right Center Back

Style similarity

75.7 / 100

Expected Completion RateLong Pass RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 21 matches

#4 · Same position group

Ozan Muhammed Kabak

Hoffenheim · Right Center Back

Style similarity

75.4 / 100

Carry Share Of ActionsPositive Forward Distance Per 100 PassesLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Stefan Bell

FSV Mainz 05 · Center Back

Style similarity

75.0 / 100

Long Pass RatePositive Forward Distance Per 100 PassesProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#6 · Same position group

Marvin Friedrich

Borussia Mönchengladbach · Center Back

Style similarity

74.5 / 100

Carry Share Of ActionsProgressive Pass RatePositive Forward Distance Per 100 Passes

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.