FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Aïssa Bilal Laïdouni

Union Berlin · Left Defensive Midfield · MID

Matches observed2
Pass attempts63
Limited sample

Actual completion

81.0%

51 completed passes

Pass difficulty

84.7%

How difficult a pass was to complete.

Actual vs. expected passing

-3.7 pp

-2.3 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

84.7%

Unavailable among MID players

n = 13 eligible peers · sample 63

requires 100 passes

Under-pressure pass rate

15.9%

Unavailable among MID players

n = 13 eligible peers · sample 63

requires 100 passes

Progressive pass rate

9.5%

Unavailable among MID players

n = 13 eligible peers · sample 63

requires 100 passes

Long-pass rate

9.5%

Unavailable among MID players

n = 13 eligible peers · sample 63

requires 100 passes

Average forward distance

4.0 units

Unavailable among MID players

n = 13 eligible peers · sample 63

requires 100 passes

Positive forward distance / 100 passes

676.0 units

Unavailable among MID players

n = 13 eligible peers · sample 63

requires 100 passes

Final-third entries / 100 passes

7.937

Unavailable among MID players

n = 13 eligible peers · sample 63

requires 100 passes

Carry share of actions

47.3%

63rd percentile among MID players

n = 61 eligible peers · sample 110

Progressive carry rate

5.8%

69th percentile among MID players

n = 66 eligible peers · sample 52

Progressive action rate

7.3%

43rd percentile among MID players

n = 61 eligible peers · sample 110

Under-pressure action rate

23.6%

57th percentile among MID players

n = 61 eligible peers · sample 110

Shots / observed match

0.50 / match

Unavailable among MID players

n = 5 eligible peers · sample 1

requires 20 shots

xG / shot

3.3%

Unavailable among MID players

n = 5 eligible peers · sample 1

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

-3.7 pp

Unavailable among MID players

n = 13 eligible peers · sample 63

requires 100 passes

Under-pressure completion above expected

-10.0 pp

Unavailable among MID players

n = 10 eligible peers · sample 10

requires 20 pressure passes

Progressive completion above expected

+5.4 pp

Unavailable among MID players

n = 9 eligible peers · sample 6

requires 20 progressive passes

Long-pass completion above expected

-1.9 pp

Unavailable among MID players

n = 9 eligible peers · sample 6

requires 20 long passes

Goals above expected

-0.033

Unavailable among MID players

n = 5 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

-0.013

48th percentile among MID players

n = 61 eligible peers · sample 110

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

Passing impact / 100 passes

-0.106

47th percentile among MID players

n = 58 eligible peers · sample 58

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

Carrying impact / 100 carries

0.090

54th percentile among MID players

n = 66 eligible peers · sample 52

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

Progressive-action impact / 100 actions

0.018

52nd percentile among MID players

n = 61 eligible peers · sample 110

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

Under-pressure impact / 100 actions

0.014

27th percentile among MID players

n = 61 eligible peers · sample 110

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

Playing style

Safe Circulator

Position-relative style among eligible MID players.

Style separation0.213

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty-0.32 z
Under-pressure pass rate-0.13 z
Progressive-pass rate-0.47 z
Long-pass rate-0.54 z
Positive forward distance / 100 passes+0.67 z
Carry share of actions+0.48 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 closer0.529
CloserFarther

Strongest alignment

  • Pressure Pass Rate
  • Long Pass Rate
  • Carry Share Of Actions

Largest difference

Positive Forward Distance Per 100 Passes

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

1

1 matches observed

Goals

0

Total xG

0.0

Goals above expected

-0.0

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.

Shots1
Goals0
xG0.03
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

-0.013

Passing impact / 100 passes

-0.106

Carrying impact / 100 carries

+0.090

Progressive-action impact / 100 actions

+0.018

Under-pressure impact / 100 actions

+0.014

110 actions · 58 passes · 52 carries · 50.0% 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

10 attempts

Limited sample
Actual
80.0%
Pass difficulty
90.0%
Actual vs. expected passing
-10.0 pp

Limited sample — interpret this split cautiously.

Progressive passing

6 attempts

Limited sample
Actual
50.0%
Pass difficulty
44.6%
Actual vs. expected passing
+5.4 pp

Limited sample — interpret this split cautiously.

Long passing

6 attempts

Limited sample
Actual
66.7%
Pass difficulty
68.6%

Progression profile

Progressive-pass rate

9.5%

Pressure-pass rate

15.9%

Average forward distance

4.0 m

Positive forward distance / 100

676.0 m

Final-third entries / 100

7.9

Campos visualization

Pass map

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

Showing 1–63 of 63 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
98.9%
Outcome
Completed
Attacking impact
-0.0029
Value before
0.0132
Value after
0.0102
Length
10.7 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

Nicolas Seiwald

RB Leipzig · Right Defensive Midfield

Style similarity

76.6 / 100

Carry Share Of ActionsProgressive Pass RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Florian Neuhaus

Borussia Mönchengladbach · Left Defensive Midfield

Style similarity

74.2 / 100

Actual vs. expected passing
-1.9 pp

Limited sample — interpret this split cautiously.

Long Pass RateCarry Share Of ActionsExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Yannick Gerhardt

Wolfsburg · Right Center Midfield

Style similarity

73.6 / 100

Carry Share Of ActionsPressure Pass RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Leandro Barreiro Martins

FSV Mainz 05 · Right Defensive Midfield

Style similarity

72.1 / 100

Progressive Pass RateExpected Completion RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Xaver Schlager

RB Leipzig · Left Defensive Midfield

Style similarity

71.7 / 100

Progressive Pass RateLong Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Granit Xhaka

Bayer Leverkusen · Right Defensive Midfield

Style similarity

71.7 / 100

Pressure Pass RateProgressive Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 33 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.