FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Matej Maglica

Darmstadt 98 · Left Center Back · DEF

Matches observed2
Pass attempts49
Limited sample

Actual completion

71.4%

35 completed passes

Pass difficulty

76.0%

How difficult a pass was to complete.

Actual vs. expected passing

-4.6 pp

-2.3 completions vs model expectation

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

Player intelligence

Position profile

DEF 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

76.0%

Unavailable among DEF players

n = 23 eligible peers · sample 49

requires 100 passes

Under-pressure pass rate

8.2%

Unavailable among DEF players

n = 23 eligible peers · sample 49

requires 100 passes

Progressive pass rate

22.4%

Unavailable among DEF players

n = 23 eligible peers · sample 49

requires 100 passes

Long-pass rate

22.4%

Unavailable among DEF players

n = 23 eligible peers · sample 49

requires 100 passes

Average forward distance

13.6 units

Unavailable among DEF players

n = 23 eligible peers · sample 49

requires 100 passes

Positive forward distance / 100 passes

1561.6 units

Unavailable among DEF players

n = 23 eligible peers · sample 49

requires 100 passes

Final-third entries / 100 passes

12.245

Unavailable among DEF players

n = 23 eligible peers · sample 49

requires 100 passes

Carry share of actions

44.0%

57th percentile among DEF players

n = 94 eligible peers · sample 75

Progressive carry rate

0.0%

16th percentile among DEF players

n = 87 eligible peers · sample 33

Progressive action rate

10.7%

57th percentile among DEF players

n = 94 eligible peers · sample 75

Under-pressure action rate

9.3%

16th percentile among DEF players

n = 94 eligible peers · sample 75

Shots / observed match

0.00 / match

Unavailable among DEF players

n = 4 eligible peers · sample 0

requires 20 shots

xG / shot

—

Unavailable among DEF players

n = 4 eligible peers · sample 0

metric unavailable

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

-4.6 pp

Unavailable among DEF players

n = 23 eligible peers · sample 49

requires 100 passes

Under-pressure completion above expected

-4.0 pp

Unavailable among DEF players

n = 13 eligible peers · sample 4

requires 20 pressure passes

Progressive completion above expected

-9.7 pp

Unavailable among DEF players

n = 17 eligible peers · sample 11

requires 20 progressive passes

Long-pass completion above expected

-17.5 pp

Unavailable among DEF players

n = 21 eligible peers · sample 11

requires 20 long passes

Goals above expected

0.000

Unavailable among DEF players

n = 4 eligible peers · sample 0

requires 20 shots

Overall impact / 100 actions

-0.110

6th percentile among DEF players

n = 94 eligible peers · sample 75

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

Passing impact / 100 passes

-0.218

13th percentile among DEF players

n = 94 eligible peers · sample 42

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

Carrying impact / 100 carries

0.028

16th percentile among DEF players

n = 87 eligible peers · sample 33

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

Progressive-action impact / 100 actions

-0.055

8th percentile among DEF players

n = 94 eligible peers · sample 75

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

Under-pressure impact / 100 actions

-0.006

13th percentile among DEF players

n = 94 eligible peers · sample 75

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

Playing style

Archetype unavailable

Limited sample for archetype analysis: requires 50 passes.

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

Role Fit — Bayer Leverkusen

Role Fit unavailable

Role Fit requires at least 50 passes and 29 carries in the product sample.

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

-0.110

Passing impact / 100 passes

-0.218

Carrying impact / 100 carries

+0.028

Progressive-action impact / 100 actions

-0.055

Under-pressure impact / 100 actions

-0.006

75 actions · 42 passes · 33 carries · 49.3% 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

4 attempts

Limited sample
Actual
50.0%
Pass difficulty
54.0%
Actual vs. expected passing
-4.0 pp

Limited sample — interpret this split cautiously.

Progressive passing

11 attempts

Limited sample
Actual
27.3%
Pass difficulty
36.9%
Actual vs. expected passing
-9.7 pp

Limited sample — interpret this split cautiously.

Long passing

11 attempts

Limited sample
Actual
36.4%
Pass difficulty
53.8%

Progression profile

Progressive-pass rate

22.4%

Pressure-pass rate

8.2%

Average forward distance

13.6 m

Positive forward distance / 100

1561.6 m

Final-third entries / 100

12.2

Campos visualization

Pass map

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

Showing 1–49 of 49 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
81.5%
Outcome
Completed
Attacking impact
0.0042
Value before
0.0054
Value after
0.0096
Length
24.8 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.

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
-17.5 pp

Limited sample — interpret this split cautiously.