FSFootyScout
PlayersTeam IntelligenceScoutingLeaderboardCompareArchetypesModel

FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Jae-Sung Lee

FSV Mainz 05 · Left Wing · FWD

Matches observed2
Pass attempts62
Limited sample

Actual completion

77.4%

48 completed passes

Pass difficulty

82.6%

How difficult a pass was to complete.

Actual vs. expected passing

-5.2 pp

-3.2 completions vs model expectation

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

Player intelligence

Position profile

FWD 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

82.6%

Unavailable among FWD players

n = 3 eligible peers · sample 62

requires 100 passes

Under-pressure pass rate

29.0%

Unavailable among FWD players

n = 3 eligible peers · sample 62

requires 100 passes

Progressive pass rate

8.1%

Unavailable among FWD players

n = 3 eligible peers · sample 62

requires 100 passes

Long-pass rate

6.5%

Unavailable among FWD players

n = 3 eligible peers · sample 62

requires 100 passes

Average forward distance

1.7 units

Unavailable among FWD players

n = 3 eligible peers · sample 62

requires 100 passes

Positive forward distance / 100 passes

560.0 units

Unavailable among FWD players

n = 3 eligible peers · sample 62

requires 100 passes

Final-third entries / 100 passes

11.290

Unavailable among FWD players

n = 3 eligible peers · sample 62

requires 100 passes

Carry share of actions

46.7%

53rd percentile among FWD players

n = 20 eligible peers · sample 105

Progressive carry rate

2.0%

5th percentile among FWD players

n = 20 eligible peers · sample 49

Progressive action rate

3.8%

5th percentile among FWD players

n = 20 eligible peers · sample 105

Under-pressure action rate

41.9%

74th percentile among FWD players

n = 20 eligible peers · sample 105

Shots / observed match

1.00 / match

Unavailable among FWD players

n = 2 eligible peers · sample 2

requires 20 shots

xG / shot

4.9%

Unavailable among FWD players

n = 2 eligible peers · sample 2

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

-5.2 pp

Unavailable among FWD players

n = 3 eligible peers · sample 62

requires 100 passes

Under-pressure completion above expected

-4.6 pp

Unavailable among FWD players

n = 3 eligible peers · sample 18

requires 20 pressure passes

Progressive completion above expected

+1.3 pp

Unavailable among FWD players

n = 3 eligible peers · sample 5

requires 20 progressive passes

Long-pass completion above expected

-17.8 pp

Unavailable among FWD players

n = 1 eligible peers · sample 4

requires 20 long passes

Goals above expected

-0.099

Unavailable among FWD players

n = 2 eligible peers · sample 2

requires 20 shots

Overall impact / 100 actions

-0.140

37th percentile among FWD players

n = 20 eligible peers · sample 105

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

Passing impact / 100 passes

-0.364

44th percentile among FWD players

n = 19 eligible peers · sample 56

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

Carrying impact / 100 carries

0.115

21st percentile among FWD players

n = 20 eligible peers · sample 49

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

Progressive-action impact / 100 actions

0.044

53rd percentile among FWD players

n = 20 eligible peers · sample 105

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

Under-pressure impact / 100 actions

-0.005

42nd percentile among FWD players

n = 20 eligible peers · sample 105

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

Playing style

Safe Circulator

Position-relative style among eligible FWD players.

Style separation0.664

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+0.86 z
Under-pressure pass rate+0.79 z
Progressive-pass rate-1.06 z
Long-pass rate-0.74 z
Positive forward distance / 100 passes-0.02 z
Carry share of actions+0.13 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

FWD role

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

Role distance · lower is closer0.650
CloserFarther

Strongest alignment

  • Expected Completion Rate
  • Long Pass Rate
  • Pressure Pass Rate

Largest difference

Carry Share Of Actions

limited sampleObserved across 2 matchesRole: 33 matches · 3 contributors

Limited contributor diversity: this role profile is based on three contributing forwards across 33 observed matches and is more sensitive to individual-player composition than the DEF and MID profiles.

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

0.1

Goals above expected

-0.1

xG / shot

0.0

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
xG0.10
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

-0.140

Passing impact / 100 passes

-0.364

Carrying impact / 100 carries

+0.115

Progressive-action impact / 100 actions

+0.044

Under-pressure impact / 100 actions

-0.005

105 actions · 56 passes · 49 carries · 40.0% 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
77.8%
Pass difficulty
82.3%
Actual vs. expected passing
-4.6 pp

Limited sample — interpret this split cautiously.

Progressive passing

5 attempts

Limited sample
Actual
60.0%
Pass difficulty
58.7%
Actual vs. expected passing
+1.3 pp

Limited sample — interpret this split cautiously.

Long passing

4 attempts

Limited sample
Actual
50.0%
Pass difficulty
67.8%

Progression profile

Progressive-pass rate

8.1%

Pressure-pass rate

29.0%

Average forward distance

1.7 m

Positive forward distance / 100

560.0 m

Final-third entries / 100

11.3

Campos visualization

Pass map

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

Showing 1–62 of 62 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
79.4%
Outcome
Completed
Attacking impact
-0.0550
Value before
0.1203
Value after
0.0653
Length
7.9 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

Serhou Guirassy

VfB Stuttgart · Left Center Forward

Style similarity

72.4 / 100

Pressure Pass RateLong Pass RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Patrik Schick

Bayer Leverkusen · Center Forward

Style similarity

70.1 / 100

Actual vs. expected passing
-17.8 pp

Limited sample — interpret this split cautiously.

Pressure Pass RateProgressive Pass RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 20 matches

#3 · Same position group

Borja Iglesias Quintas

Bayer Leverkusen · Center Forward

Style similarity

68.8 / 100

Expected Completion RateLong Pass RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 7 matches

#4 · Same position group

Victor Okoh Boniface

Bayer Leverkusen · Center Forward

Style similarity

64.4 / 100

Expected Completion RateLong Pass RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 23 matches

#5 · Same position group

Leroy Sané

Bayern Munich · Right Wing

Style similarity

55.1 / 100

Carry Share Of ActionsPositive Forward Distance Per 100 PassesExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Lucas Höler

Freiburg · Right Wing

Style similarity

50.1 / 100

Long Pass RatePressure Pass RateProgressive 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.