FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Anthony Jung

Werder Bremen · Left Center Back · DEF

Matches observed1
Pass attempts62
Limited sample

Actual completion

93.5%

58 completed passes

Pass difficulty

87.0%

How difficult a pass was to complete.

Actual vs. expected passing

+6.5 pp

+4.0 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

87.0%

Unavailable among DEF players

n = 23 eligible peers · sample 62

requires 100 passes

Under-pressure pass rate

16.1%

Unavailable among DEF players

n = 23 eligible peers · sample 62

requires 100 passes

Progressive pass rate

12.9%

Unavailable among DEF players

n = 23 eligible peers · sample 62

requires 100 passes

Long-pass rate

17.7%

Unavailable among DEF players

n = 23 eligible peers · sample 62

requires 100 passes

Average forward distance

8.7 units

Unavailable among DEF players

n = 23 eligible peers · sample 62

requires 100 passes

Positive forward distance / 100 passes

1103.4 units

Unavailable among DEF players

n = 23 eligible peers · sample 62

requires 100 passes

Final-third entries / 100 passes

9.677

Unavailable among DEF players

n = 23 eligible peers · sample 62

requires 100 passes

Carry share of actions

43.8%

51st percentile among DEF players

n = 94 eligible peers · sample 105

Progressive carry rate

0.0%

16th percentile among DEF players

n = 87 eligible peers · sample 46

Progressive action rate

6.7%

31st percentile among DEF players

n = 94 eligible peers · sample 105

Under-pressure action rate

22.9%

86th percentile among DEF players

n = 94 eligible peers · sample 105

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

+6.5 pp

Unavailable among DEF players

n = 23 eligible peers · sample 62

requires 100 passes

Under-pressure completion above expected

+7.4 pp

Unavailable among DEF players

n = 13 eligible peers · sample 10

requires 20 pressure passes

Progressive completion above expected

+15.6 pp

Unavailable among DEF players

n = 17 eligible peers · sample 8

requires 20 progressive passes

Long-pass completion above expected

+6.6 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

0.078

90th percentile among DEF players

n = 94 eligible peers · sample 105

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

Passing impact / 100 passes

0.088

90th percentile among DEF players

n = 94 eligible peers · sample 59

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

Carrying impact / 100 carries

0.065

55th percentile among DEF players

n = 87 eligible peers · sample 46

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

Progressive-action impact / 100 actions

0.011

58th percentile among DEF players

n = 94 eligible peers · sample 105

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

Under-pressure impact / 100 actions

0.039

84th percentile among DEF players

n = 94 eligible peers · sample 105

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

Playing style

Safe Circulator

Position-relative style among eligible DEF players.

Style separation0.102

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+0.55 z
Under-pressure pass rate+0.69 z
Progressive-pass rate-0.46 z
Long-pass rate+0.27 z
Positive forward distance / 100 passes+0.93 z
Carry share of actions-0.05 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

DEF role

How closely a player's playing style matches this role. Compared with Bayer Leverkusen's observed DEF role.

Role distance · lower is closer0.979
CloserFarther

Strongest alignment

  • Expected Completion Rate
  • Progressive Pass Rate
  • Pressure Pass Rate

Largest difference

Positive Forward Distance Per 100 Passes

limited sampleObserved across 1 matchesRole: 34 matches · 9 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

+0.078

Passing impact / 100 passes

+0.088

Carrying impact / 100 carries

+0.065

Progressive-action impact / 100 actions

+0.011

Under-pressure impact / 100 actions

+0.039

105 actions · 59 passes · 46 carries · 65.7% 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
92.6%
Actual vs. expected passing
+7.4 pp

Limited sample — interpret this split cautiously.

Progressive passing

8 attempts

Limited sample
Actual
62.5%
Pass difficulty
46.9%
Actual vs. expected passing
+15.6 pp

Limited sample — interpret this split cautiously.

Long passing

11 attempts

Limited sample
Actual
72.7%
Pass difficulty
66.1%

Progression profile

Progressive-pass rate

12.9%

Pressure-pass rate

16.1%

Average forward distance

8.7 m

Positive forward distance / 100

1103.4 m

Final-third entries / 100

9.7

Campos visualization

Pass map

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

Showing 1–62 of 62 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
24.8%
Outcome
Incomplete
Attacking impact
-0.0070
Value before
0.0070
Value after
0.0000
Length
64.9 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 1 observed match, so nearest-neighbor rankings may be less stable.

#1 · Same position group

Timo Hübers

FC Köln · Right Center Back

Style similarity

85.8 / 100

Positive Forward Distance Per 100 PassesProgressive Pass RateCarry Share Of Actions

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#2 · Same position group

Diogo Filipe Monteiro Pinto Leite

Union Berlin · Left Center Back

Style similarity

84.8 / 100

Actual vs. expected passing
+6.6 pp

Limited sample — interpret this split cautiously.

Carry Share Of ActionsLong Pass RateExpected Completion Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#3 · Same position group

Patrick Mainka

FC Heidenheim · Right Center Back

Style similarity

82.1 / 100

Positive Forward Distance Per 100 PassesLong Pass RateCarry Share Of Actions

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#4 · Same position group

Moritz Jenz

Wolfsburg · Center Back

Style similarity

80.5 / 100

Carry Share Of ActionsExpected Completion RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#5 · Same position group

Ozan Muhammed Kabak

Hoffenheim · Right Center Back

Style similarity

78.9 / 100

Carry Share Of ActionsExpected Completion RateProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#6 · Same position group

Willian Joel Pacho Tenorio

Eintracht Frankfurt · Left Center Back

Style similarity

78.4 / 100

Carry Share Of ActionsExpected Completion RatePositive Forward Distance Per 100 Passes

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.