FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Ellyes Joris Skhiri

Eintracht Frankfurt · Left Defensive Midfield · MID

Matches observed2
Pass attempts63
Limited sample

Actual completion

92.1%

58 completed passes

Pass difficulty

90.3%

How difficult a pass was to complete.

Actual vs. expected passing

+1.7 pp

+1.1 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

90.3%

Unavailable among MID players

n = 13 eligible peers · sample 63

requires 100 passes

Under-pressure pass rate

17.5%

Unavailable among MID players

n = 13 eligible peers · sample 63

requires 100 passes

Progressive pass rate

17.5%

Unavailable among MID players

n = 13 eligible peers · sample 63

requires 100 passes

Long-pass rate

14.3%

Unavailable among MID players

n = 13 eligible peers · sample 63

requires 100 passes

Average forward distance

2.8 units

Unavailable among MID players

n = 13 eligible peers · sample 63

requires 100 passes

Positive forward distance / 100 passes

682.7 units

Unavailable among MID players

n = 13 eligible peers · sample 63

requires 100 passes

Final-third entries / 100 passes

6.349

Unavailable among MID players

n = 13 eligible peers · sample 63

requires 100 passes

Carry share of actions

42.3%

18th percentile among MID players

n = 61 eligible peers · sample 104

Progressive carry rate

0.0%

12th percentile among MID players

n = 66 eligible peers · sample 44

Progressive action rate

9.6%

60th percentile among MID players

n = 61 eligible peers · sample 104

Under-pressure action rate

19.2%

33rd percentile among MID players

n = 61 eligible peers · sample 104

Shots / observed match

0.00 / match

Unavailable among MID players

n = 5 eligible peers · sample 0

requires 20 shots

xG / shot

—

Unavailable among MID players

n = 5 eligible peers · sample 0

metric unavailable

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

+1.7 pp

Unavailable among MID players

n = 13 eligible peers · sample 63

requires 100 passes

Under-pressure completion above expected

+3.8 pp

Unavailable among MID players

n = 10 eligible peers · sample 11

requires 20 pressure passes

Progressive completion above expected

+3.7 pp

Unavailable among MID players

n = 9 eligible peers · sample 11

requires 20 progressive passes

Long-pass completion above expected

+9.2 pp

Unavailable among MID players

n = 9 eligible peers · sample 9

requires 20 long passes

Goals above expected

0.000

Unavailable among MID players

n = 5 eligible peers · sample 0

requires 20 shots

Overall impact / 100 actions

0.023

58th percentile among MID players

n = 61 eligible peers · sample 104

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

Passing impact / 100 passes

0.011

82nd percentile among MID players

n = 58 eligible peers · sample 60

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

Carrying impact / 100 carries

0.038

15th percentile among MID players

n = 66 eligible peers · sample 44

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

Progressive-action impact / 100 actions

0.021

55th percentile among MID players

n = 61 eligible peers · sample 104

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

Under-pressure impact / 100 actions

0.027

45th percentile among MID players

n = 61 eligible peers · sample 104

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

Playing style

Direct Progressor

Position-relative style among eligible MID players.

Style separation0.290

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty+0.93 z
Under-pressure pass rate+0.14 z
Progressive-pass rate+0.75 z
Long-pass rate+0.35 z
Positive forward distance / 100 passes+0.72 z
Carry share of actions-0.92 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 closer0.785
CloserFarther

Strongest alignment

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

Largest difference

Carry Share Of Actions

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.

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

+0.023

Passing impact / 100 passes

+0.011

Carrying impact / 100 carries

+0.038

Progressive-action impact / 100 actions

+0.021

Under-pressure impact / 100 actions

+0.027

104 actions · 60 passes · 44 carries · 55.8% 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

11 attempts

Limited sample
Actual
100.0%
Pass difficulty
96.2%
Actual vs. expected passing
+3.8 pp

Limited sample — interpret this split cautiously.

Progressive passing

11 attempts

Limited sample
Actual
63.6%
Pass difficulty
60.0%
Actual vs. expected passing
+3.7 pp

Limited sample — interpret this split cautiously.

Long passing

9 attempts

Limited sample
Actual
77.8%
Pass difficulty
68.6%

Progression profile

Progressive-pass rate

17.5%

Pressure-pass rate

17.5%

Average forward distance

2.8 m

Positive forward distance / 100

682.7 m

Final-third entries / 100

6.3

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
58.5%
Outcome
Completed
Attacking impact
0.0057
Value before
0.0056
Value after
0.0113
Length
49.9 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

Grischa Prömel

Hoffenheim · Left Center Midfield

Style similarity

74.5 / 100

Long Pass RatePositive Forward Distance Per 100 PassesProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Robert Andrich

Bayer Leverkusen · Right Defensive Midfield

Style similarity

69.8 / 100

Actual vs. expected passing
+9.2 pp

Limited sample — interpret this split cautiously.

Positive Forward Distance Per 100 PassesExpected Completion RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 28 matches

#3 · Same position group

Granit Xhaka

Bayer Leverkusen · Right Defensive Midfield

Style similarity

68.2 / 100

Expected Completion RatePositive Forward Distance Per 100 PassesPressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 33 matches

#4 · Same position group

Joshua Kimmich

Bayern Munich · Right Defensive Midfield

Style similarity

66.8 / 100

Progressive Pass RatePositive Forward Distance Per 100 PassesCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Mario Götze

Eintracht Frankfurt · Right Defensive Midfield

Style similarity

65.1 / 100

Progressive Pass RateCarry Share Of ActionsPressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Niklas Dorsch

Augsburg · Center Defensive Midfield

Style similarity

62.5 / 100

Positive Forward Distance Per 100 PassesLong Pass RateExpected 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.