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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Aleksandar Pavlović

Bayern Munich · Right Defensive Midfield · MID

Matches observed1
Pass attempts51
Limited sample

Actual completion

90.2%

46 completed passes

Pass difficulty

91.3%

How difficult a pass was to complete.

Actual vs. expected passing

-1.1 pp

-0.5 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

91.3%

Unavailable among MID players

n = 13 eligible peers · sample 51

requires 100 passes

Under-pressure pass rate

19.6%

Unavailable among MID players

n = 13 eligible peers · sample 51

requires 100 passes

Progressive pass rate

5.9%

Unavailable among MID players

n = 13 eligible peers · sample 51

requires 100 passes

Long-pass rate

7.8%

Unavailable among MID players

n = 13 eligible peers · sample 51

requires 100 passes

Average forward distance

1.1 units

Unavailable among MID players

n = 13 eligible peers · sample 51

requires 100 passes

Positive forward distance / 100 passes

537.6 units

Unavailable among MID players

n = 13 eligible peers · sample 51

requires 100 passes

Final-third entries / 100 passes

15.686

Unavailable among MID players

n = 13 eligible peers · sample 51

requires 100 passes

Carry share of actions

46.8%

53rd percentile among MID players

n = 61 eligible peers · sample 94

Progressive carry rate

0.0%

12th percentile among MID players

n = 66 eligible peers · sample 44

Progressive action rate

3.2%

13th percentile among MID players

n = 61 eligible peers · sample 94

Under-pressure action rate

22.3%

48th percentile among MID players

n = 61 eligible peers · sample 94

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

-1.1 pp

Unavailable among MID players

n = 13 eligible peers · sample 51

requires 100 passes

Under-pressure completion above expected

+8.5 pp

Unavailable among MID players

n = 10 eligible peers · sample 10

requires 20 pressure passes

Progressive completion above expected

+1.7 pp

Unavailable among MID players

n = 9 eligible peers · sample 3

requires 20 progressive passes

Long-pass completion above expected

-9.2 pp

Unavailable among MID players

n = 9 eligible peers · sample 4

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

-0.047

28th percentile among MID players

n = 61 eligible peers · sample 94

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

Passing impact / 100 passes

-0.112

44th percentile among MID players

n = 58 eligible peers · sample 50

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

Carrying impact / 100 carries

0.027

9th percentile among MID players

n = 66 eligible peers · sample 44

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

Progressive-action impact / 100 actions

-0.003

35th percentile among MID players

n = 61 eligible peers · sample 94

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

Under-pressure impact / 100 actions

0.033

52nd percentile among MID players

n = 61 eligible peers · sample 94

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

Playing style

Safe Circulator

Position-relative style among eligible MID players.

Style separation0.744

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+1.13 z
Under-pressure pass rate+0.52 z
Progressive-pass rate-1.03 z
Long-pass rate-0.85 z
Positive forward distance / 100 passes-0.43 z
Carry share of actions+0.35 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 closer0.615
CloserFarther

Strongest alignment

  • Carry Share Of Actions
  • Positive Forward Distance Per 100 Passes
  • Long Pass Rate

Largest difference

Progressive Pass Rate

limited sampleObserved across 1 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

-0.047

Passing impact / 100 passes

-0.112

Carrying impact / 100 carries

+0.027

Progressive-action impact / 100 actions

-0.003

Under-pressure impact / 100 actions

+0.033

94 actions · 50 passes · 44 carries · 36.2% 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
100.0%
Pass difficulty
91.5%
Actual vs. expected passing
+8.5 pp

Limited sample — interpret this split cautiously.

Progressive passing

3 attempts

Limited sample
Actual
66.7%
Pass difficulty
64.9%
Actual vs. expected passing
+1.7 pp

Limited sample — interpret this split cautiously.

Long passing

4 attempts

Limited sample
Actual
50.0%
Pass difficulty
59.2%

Progression profile

Progressive-pass rate

5.9%

Pressure-pass rate

19.6%

Average forward distance

1.1 m

Positive forward distance / 100

537.6 m

Final-third entries / 100

15.7

Campos visualization

Pass map

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

Showing 1–51 of 51 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
99.2%
Outcome
Completed
Attacking impact
-0.0030
Value before
0.0053
Value after
0.0024
Length
29.0 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 1 observed match, so nearest-neighbor rankings may be less stable.

#1 · Same position group

Bartol Franjić

Darmstadt 98 · Right Defensive Midfield

Style similarity

78.9 / 100

Progressive Pass RateLong Pass RateExpected Completion Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#2 · Same position group

Exequiel Alejandro Palacios

Bayer Leverkusen · Left Defensive Midfield

Style similarity

77.5 / 100

Actual vs. expected passing
-9.2 pp

Limited sample — interpret this split cautiously.

Long Pass RatePositive Forward Distance Per 100 PassesCarry Share Of Actions

Sample support: Limited · 1 limiting matches

Observed: 1 vs 24 matches

#3 · Same position group

Emre Can

Borussia Dortmund · Center Defensive Midfield

Style similarity

77.2 / 100

Carry Share Of ActionsProgressive Pass RateExpected Completion Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#4 · Same position group

Patrick Osterhage

Bochum · Center Defensive Midfield

Style similarity

76.6 / 100

Carry Share Of ActionsPositive Forward Distance Per 100 PassesLong Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#5 · Same position group

Leandro Barreiro Martins

FSV Mainz 05 · Right Defensive Midfield

Style similarity

74.9 / 100

Long Pass RatePressure Pass RateProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#6 · Same position group

Leon Goretzka

Bayern Munich · Left Defensive Midfield

Style similarity

73.7 / 100

Positive Forward Distance Per 100 PassesExpected Completion RateProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 1 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.