FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Dan-Axel Zagadou

VfB Stuttgart · Left Center Back · DEF

Matches observed1
Pass attempts77
Limited sample

Actual completion

92.2%

71 completed passes

Pass difficulty

88.4%

How difficult a pass was to complete.

Actual vs. expected passing

+3.8 pp

+3.0 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

88.4%

Unavailable among DEF players

n = 23 eligible peers · sample 77

requires 100 passes

Under-pressure pass rate

5.2%

Unavailable among DEF players

n = 23 eligible peers · sample 77

requires 100 passes

Progressive pass rate

13.0%

Unavailable among DEF players

n = 23 eligible peers · sample 77

requires 100 passes

Long-pass rate

16.9%

Unavailable among DEF players

n = 23 eligible peers · sample 77

requires 100 passes

Average forward distance

8.6 units

Unavailable among DEF players

n = 23 eligible peers · sample 77

requires 100 passes

Positive forward distance / 100 passes

1110.1 units

Unavailable among DEF players

n = 23 eligible peers · sample 77

requires 100 passes

Final-third entries / 100 passes

6.494

Unavailable among DEF players

n = 23 eligible peers · sample 77

requires 100 passes

Carry share of actions

45.9%

77th percentile among DEF players

n = 94 eligible peers · sample 135

Progressive carry rate

0.0%

16th percentile among DEF players

n = 87 eligible peers · sample 62

Progressive action rate

7.4%

35th percentile among DEF players

n = 94 eligible peers · sample 135

Under-pressure action rate

4.4%

5th percentile among DEF players

n = 94 eligible peers · sample 135

Shots / observed match

1.00 / match

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

xG / shot

11.2%

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

+3.8 pp

Unavailable among DEF players

n = 23 eligible peers · sample 77

requires 100 passes

Under-pressure completion above expected

+4.4 pp

Unavailable among DEF players

n = 13 eligible peers · sample 4

requires 20 pressure passes

Progressive completion above expected

+18.3 pp

Unavailable among DEF players

n = 17 eligible peers · sample 10

requires 20 progressive passes

Long-pass completion above expected

+14.2 pp

Unavailable among DEF players

n = 21 eligible peers · sample 13

requires 20 long passes

Goals above expected

-0.112

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

0.060

84th percentile among DEF players

n = 94 eligible peers · sample 135

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

Passing impact / 100 passes

0.088

91st percentile among DEF players

n = 94 eligible peers · sample 73

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

Carrying impact / 100 carries

0.028

15th percentile among DEF players

n = 87 eligible peers · sample 62

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

Progressive-action impact / 100 actions

0.003

56th percentile among DEF players

n = 94 eligible peers · sample 135

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

Under-pressure impact / 100 actions

0.008

33rd percentile among DEF players

n = 94 eligible peers · sample 135

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

Playing style

Safe Circulator

Position-relative style among eligible DEF players.

Style separation0.120

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+0.78 z
Under-pressure pass rate-1.29 z
Progressive-pass rate-0.45 z
Long-pass rate+0.15 z
Positive forward distance / 100 passes+0.95 z
Carry share of actions+0.71 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 closer0.974
CloserFarther

Strongest alignment

  • Carry Share Of Actions
  • Progressive Pass Rate
  • Expected Completion 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.

Expected Goals

Non-penalty shooting

Goals above expected is descriptive for this observed sample, not a definitive finishing-skill rating.

Limited sample

Shots

1

1 matches observed

Goals

0

Total xG

0.1

Goals above expected

-0.1

xG / shot

0.1

0.0% goals / shot

Limited sample: fewer than 20 non-penalty shots.

Campos visualization

Shot map

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

Shots1
Goals0
xG0.11
xG0.00 – 1.00
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

+0.060

Passing impact / 100 passes

+0.088

Carrying impact / 100 carries

+0.028

Progressive-action impact / 100 actions

+0.003

Under-pressure impact / 100 actions

+0.008

135 actions · 73 passes · 62 carries · 60.7% 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

4 attempts

Limited sample
Actual
75.0%
Pass difficulty
70.6%
Actual vs. expected passing
+4.4 pp

Limited sample — interpret this split cautiously.

Progressive passing

10 attempts

Limited sample
Actual
70.0%
Pass difficulty
51.7%
Actual vs. expected passing
+18.3 pp

Limited sample — interpret this split cautiously.

Long passing

13 attempts

Limited sample
Actual
76.9%
Pass difficulty
62.7%

Progression profile

Progressive-pass rate

13.0%

Pressure-pass rate

5.2%

Average forward distance

8.6 m

Positive forward distance / 100

1110.1 m

Final-third entries / 100

6.5

Campos visualization

Pass map

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

Showing 1–77 of 77 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
30.4%
Outcome
Completed
Attacking impact
0.0118
Value before
0.0025
Value after
0.0143
Length
60.5 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

Maximilian Wöber

Borussia Mönchengladbach · Left Center Back

Style similarity

78.6 / 100

Positive Forward Distance Per 100 PassesCarry Share Of ActionsProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 1 matches

#2 · Same position group

Waldemar Anton

VfB Stuttgart · Right Center Back

Style similarity

77.3 / 100

Actual vs. expected passing
+14.2 pp

Limited sample — interpret this split cautiously.

Pressure Pass RateLong Pass RateExpected Completion Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#3 · Same position group

Mohamed Simakan

RB Leipzig · Right Center Back

Style similarity

76.8 / 100

Pressure Pass RateProgressive Pass RateExpected Completion Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#4 · Same position group

Eric Dier

Bayern Munich · Center Back

Style similarity

75.9 / 100

Carry Share Of ActionsProgressive Pass RateExpected Completion Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 1 matches

#5 · Same position group

Manuel Gulde

Freiburg · Left Center Back

Style similarity

75.4 / 100

Progressive Pass RatePositive Forward Distance Per 100 PassesExpected Completion Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#6 · Same position group

Maxence Lacroix

Wolfsburg · Left Center Back

Style similarity

72.2 / 100

Expected Completion RateProgressive Pass RateLong 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.