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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Pavao Pervan

Wolfsburg · Goalkeeper · GK

Matches observed1
Pass attempts42
Limited sample

Actual completion

61.9%

26 completed passes

Pass difficulty

70.0%

How difficult a pass was to complete.

Actual vs. expected passing

-8.1 pp

-3.4 completions vs model expectation

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

Player intelligence

Position profile

GK context · Each percentile is an empirical rank among eligible players in the same broad position group. Percentiles are not ratings.

Limited goalkeeper profile: FootyScout does not yet have enough goalkeeper-specific metrics for a meaningful radar.

Style

Tendencies describe what a player attempts; higher is not automatically better.

Pass difficulty

70.0%

Unavailable among GK players

n = 4 eligible peers · sample 42

requires 100 passes

Under-pressure pass rate

14.3%

Unavailable among GK players

n = 4 eligible peers · sample 42

requires 100 passes

Progressive pass rate

40.5%

Unavailable among GK players

n = 4 eligible peers · sample 42

requires 100 passes

Long-pass rate

59.5%

Unavailable among GK players

n = 4 eligible peers · sample 42

requires 100 passes

Average forward distance

28.4 units

Unavailable among GK players

n = 4 eligible peers · sample 42

requires 100 passes

Positive forward distance / 100 passes

2842.1 units

Unavailable among GK players

n = 4 eligible peers · sample 42

requires 100 passes

Final-third entries / 100 passes

9.524

Unavailable among GK players

n = 4 eligible peers · sample 42

requires 100 passes

Carry share of actions

38.1%

73rd percentile among GK players

n = 16 eligible peers · sample 63

Progressive carry rate

0.0%

Unavailable among GK players

n = 14 eligible peers · sample 24

requires 29 carries

Progressive action rate

22.2%

40th percentile among GK players

n = 16 eligible peers · sample 63

Under-pressure action rate

17.5%

33rd percentile among GK players

n = 16 eligible peers · sample 63

Shots / observed match

0.00 / match

Unavailable among GK players

n = 0 eligible peers · sample 0

requires 20 shots

xG / shot

—

Unavailable among GK players

n = 0 eligible peers · sample 0

metric unavailable

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

-8.1 pp

Unavailable among GK players

n = 4 eligible peers · sample 42

requires 100 passes

Under-pressure completion above expected

-19.4 pp

Unavailable among GK players

n = 4 eligible peers · sample 6

requires 20 pressure passes

Progressive completion above expected

-17.9 pp

Unavailable among GK players

n = 17 eligible peers · sample 17

requires 20 progressive passes

Long-pass completion above expected

-15.1 pp

0th percentile among GK players

n = 19 eligible peers · sample 25

Goals above expected

0.000

Unavailable among GK players

n = 0 eligible peers · sample 0

requires 20 shots

Overall impact / 100 actions

-0.103

13th percentile among GK players

n = 16 eligible peers · sample 63

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

Passing impact / 100 passes

-0.175

13th percentile among GK players

n = 17 eligible peers · sample 39

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

Carrying impact / 100 carries

0.014

Unavailable among GK players

n = 14 eligible peers · sample 24

requires 29 carries

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

Progressive-action impact / 100 actions

-0.093

20th percentile among GK players

n = 16 eligible peers · sample 63

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

Under-pressure impact / 100 actions

-0.018

0th percentile among GK players

n = 16 eligible peers · sample 63

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

Playing style

Archetype unavailable

Goalkeepers are excluded from the outfield archetype model.

Archetypes describe outfield playing tendencies, not quality, ability, or rank.

Role Fit — Bayer Leverkusen

Role Fit unavailable

Role Fit is currently available for outfield DEF, MID, and FWD players only.

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

-0.103

Passing impact / 100 passes

-0.175

Carrying impact / 100 carries

+0.014

Progressive-action impact / 100 actions

-0.093

Under-pressure impact / 100 actions

-0.018

63 actions · 39 passes · 24 carries · 44.4% 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

6 attempts

Limited sample
Actual
33.3%
Pass difficulty
52.8%
Actual vs. expected passing
-19.4 pp

Limited sample — interpret this split cautiously.

Progressive passing

17 attempts

Limited sample
Actual
23.5%
Pass difficulty
41.5%
Actual vs. expected passing
-17.9 pp

Limited sample — interpret this split cautiously.

Long passing

25 attempts

Reliable sample
Actual
40.0%
Pass difficulty
55.1%

Progression profile

Progressive-pass rate

40.5%

Pressure-pass rate

14.3%

Average forward distance

28.4 m

Positive forward distance / 100

2842.1 m

Final-third entries / 100

9.5

Campos visualization

Pass map

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

Showing 1–42 of 42 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
32.8%
Outcome
Incomplete
Attacking impact
-0.0046
Value before
0.0046
Value after
0.0000
Length
47.0 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.

Playing-style similarity unavailable

V3.3B similarity requires an outfield player with at least 50 passes and 29 carries.

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.

Actual vs. expected passing
-15.1 pp