FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Patrik Schick

Bayer Leverkusen · Center Forward · FWD

Matches observed20
Pass attempts229
Reliable sample

Actual completion

82.1%

188 completed passes

Pass difficulty

85.2%

How difficult a pass was to complete.

Actual vs. expected passing

-3.1 pp

-7.0 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

85.2%

Unavailable among FWD players

n = 3 eligible peers · sample 229

requires 10 eligible position peers

Under-pressure pass rate

30.6%

Unavailable among FWD players

n = 3 eligible peers · sample 229

requires 10 eligible position peers

Progressive pass rate

5.7%

Unavailable among FWD players

n = 3 eligible peers · sample 229

requires 10 eligible position peers

Long-pass rate

3.9%

Unavailable among FWD players

n = 3 eligible peers · sample 229

requires 10 eligible position peers

Average forward distance

-2.0 units

Unavailable among FWD players

n = 3 eligible peers · sample 229

requires 10 eligible position peers

Positive forward distance / 100 passes

226.4 units

Unavailable among FWD players

n = 3 eligible peers · sample 229

requires 10 eligible position peers

Final-third entries / 100 passes

3.493

Unavailable among FWD players

n = 3 eligible peers · sample 229

requires 10 eligible position peers

Carry share of actions

49.4%

68th percentile among FWD players

n = 20 eligible peers · sample 437

Progressive carry rate

6.0%

63rd percentile among FWD players

n = 20 eligible peers · sample 216

Progressive action rate

5.9%

16th percentile among FWD players

n = 20 eligible peers · sample 437

Under-pressure action rate

44.9%

79th percentile among FWD players

n = 20 eligible peers · sample 437

Shots / observed match

1.95 / match

Unavailable among FWD players

n = 2 eligible peers · sample 39

requires 10 eligible position peers

xG / shot

12.9%

Unavailable among FWD players

n = 2 eligible peers · sample 39

requires 10 eligible position peers

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

-3.1 pp

Unavailable among FWD players

n = 3 eligible peers · sample 229

requires 10 eligible position peers

Under-pressure completion above expected

-6.2 pp

Unavailable among FWD players

n = 3 eligible peers · sample 70

requires 10 eligible position peers

Progressive completion above expected

+25.4 pp

Unavailable among FWD players

n = 3 eligible peers · sample 13

requires 20 progressive passes

Long-pass completion above expected

-1.6 pp

Unavailable among FWD players

n = 1 eligible peers · sample 9

requires 20 long passes

Goals above expected

0.988

Unavailable among FWD players

n = 2 eligible peers · sample 39

requires 10 eligible position peers

Overall impact / 100 actions

-0.200

26th percentile among FWD players

n = 20 eligible peers · sample 437

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

Passing impact / 100 passes

-0.639

0th percentile among FWD players

n = 19 eligible peers · sample 221

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

Carrying impact / 100 carries

0.249

84th percentile among FWD players

n = 20 eligible peers · sample 216

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

Progressive-action impact / 100 actions

0.072

63rd percentile among FWD players

n = 20 eligible peers · sample 437

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

Under-pressure impact / 100 actions

-0.017

21st percentile among FWD players

n = 20 eligible peers · sample 437

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

Playing style

Safe Circulator

Position-relative style among eligible FWD players.

Style separation0.609

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+1.30 z
Under-pressure pass rate+0.98 z
Progressive-pass rate-1.29 z
Long-pass rate-0.98 z
Positive forward distance / 100 passes-1.45 z
Carry share of actions+0.61 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 the observed role of Leverkusen's other FWD contributors.

Role distance · lower is closer0.723
CloserFarther

Strongest alignment

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

Largest difference

Carry Share Of Actions

higher sampleObserved across 20 matchesRole: 28 matches · 2 contributors

Limited contributor diversity: this leave-self-out role profile is based on 2 other contributing forwards across 28 observed matches.

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.

Reliable sample

Shots

39

16 matches observed

Goals

6

Total xG

5.0

Goals above expected

+1.0

xG / shot

0.1

15.4% goals / shot

Campos visualization

Shot map

Non-penalty xG is encoded by marker size and color. Preserved penalties have no modeled xG.

Shots40
Goals7
xG5.01
xG0.00 – 1.00
Foot
Header
Set piece
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

-0.200

Passing impact / 100 passes

-0.639

Carrying impact / 100 carries

+0.249

Progressive-action impact / 100 actions

+0.072

Under-pressure impact / 100 actions

-0.017

437 actions · 221 passes · 216 carries · 41.0% 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

70 attempts

Reliable sample
Actual
72.9%
Pass difficulty
79.0%
Actual vs. expected passing
-6.2 pp

Progressive passing

13 attempts

Limited sample
Actual
69.2%
Pass difficulty
43.8%
Actual vs. expected passing
+25.4 pp

Limited sample — interpret this split cautiously.

Long passing

9 attempts

Limited sample
Actual
66.7%
Pass difficulty
68.2%
Actual vs. expected passing

Progression profile

Progressive-pass rate

5.7%

Pressure-pass rate

30.6%

Average forward distance

-2.0 m

Positive forward distance / 100

226.4 m

Final-third entries / 100

3.5

Campos visualization

Pass map

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

Showing 1–200 of 229 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
78.2%
Outcome
Incomplete
Attacking impact
-0.0135
Value before
0.0135
Value after
0.0000
Length
17.8 m
Context
Under pressure
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.

#1 · Same position group

Serhou Guirassy

VfB Stuttgart · Left Center Forward

Style similarity

81.2 / 100

Long Pass RateProgressive Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 20 vs 2 matches

#2 · Same position group

Borja Iglesias Quintas

Bayer Leverkusen · Center Forward

Style similarity

73.1 / 100

Carry Share Of ActionsLong Pass Rate
-1.6 pp

Limited sample — interpret this split cautiously.

Positive Forward Distance Per 100 Passes

Sample support: Higher · 7 limiting matches

Observed: 20 vs 7 matches

#3 · Same position group

Jae-Sung Lee

FSV Mainz 05 · Left Wing

Style similarity

70.1 / 100

Pressure Pass RateProgressive Pass RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 20 vs 2 matches

#4 · Same position group

Victor Okoh Boniface

Bayer Leverkusen · Center Forward

Style similarity

64.8 / 100

Pressure Pass RateLong Pass RateExpected Completion Rate

Sample support: Higher · 20 limiting matches

Observed: 20 vs 23 matches

#5 · Same position group

Leroy Sané

Bayern Munich · Right Wing

Style similarity

49.9 / 100

Carry Share Of ActionsPositive Forward Distance Per 100 PassesExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 20 vs 2 matches

#6 · Same position group

Marvin Ducksch

Werder Bremen · Left Center Forward

Style similarity

38.1 / 100

Pressure Pass RateLong Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 20 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.