FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Edimilson Fernandes

FSV Mainz 05 · Left Center Back · DEF

Matches observed1
Pass attempts65
Limited sample

Actual completion

86.2%

56 completed passes

Pass difficulty

82.5%

How difficult a pass was to complete.

Actual vs. expected passing

+3.6 pp

+2.4 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

82.5%

Unavailable among DEF players

n = 23 eligible peers · sample 65

requires 100 passes

Under-pressure pass rate

15.4%

Unavailable among DEF players

n = 23 eligible peers · sample 65

requires 100 passes

Progressive pass rate

23.1%

Unavailable among DEF players

n = 23 eligible peers · sample 65

requires 100 passes

Long-pass rate

20.0%

Unavailable among DEF players

n = 23 eligible peers · sample 65

requires 100 passes

Average forward distance

7.5 units

Unavailable among DEF players

n = 23 eligible peers · sample 65

requires 100 passes

Positive forward distance / 100 passes

1050.8 units

Unavailable among DEF players

n = 23 eligible peers · sample 65

requires 100 passes

Final-third entries / 100 passes

16.923

Unavailable among DEF players

n = 23 eligible peers · sample 65

requires 100 passes

Carry share of actions

46.2%

81st percentile among DEF players

n = 94 eligible peers · sample 117

Progressive carry rate

1.9%

44th percentile among DEF players

n = 87 eligible peers · sample 54

Progressive action rate

12.0%

66th percentile among DEF players

n = 94 eligible peers · sample 117

Under-pressure action rate

19.7%

72nd percentile among DEF players

n = 94 eligible peers · sample 117

Shots / observed match

1.00 / match

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

xG / shot

4.5%

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

+3.6 pp

Unavailable among DEF players

n = 23 eligible peers · sample 65

requires 100 passes

Under-pressure completion above expected

+16.8 pp

Unavailable among DEF players

n = 13 eligible peers · sample 10

requires 20 pressure passes

Progressive completion above expected

+10.0 pp

Unavailable among DEF players

n = 17 eligible peers · sample 15

requires 20 progressive passes

Long-pass completion above expected

+1.8 pp

Unavailable among DEF players

n = 21 eligible peers · sample 13

requires 20 long passes

Goals above expected

-0.045

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

0.113

92nd percentile among DEF players

n = 94 eligible peers · sample 117

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

Passing impact / 100 passes

0.170

96th percentile among DEF players

n = 94 eligible peers · sample 63

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

Carrying impact / 100 carries

0.047

33rd percentile among DEF players

n = 87 eligible peers · sample 54

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

Progressive-action impact / 100 actions

0.099

87th percentile among DEF players

n = 94 eligible peers · sample 117

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

Under-pressure impact / 100 actions

0.030

71st percentile among DEF players

n = 94 eligible peers · sample 117

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

Playing style

Direct Progressor

Position-relative style among eligible DEF players.

Style separation0.402

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty-0.23 z
Under-pressure pass rate+0.56 z
Progressive-pass rate+0.94 z
Long-pass rate+0.61 z
Positive forward distance / 100 passes+0.71 z
Carry share of actions+0.79 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 closer1.159
CloserFarther

Strongest alignment

  • Carry Share Of Actions
  • Pressure 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

0.0

Goals above expected

-0.0

xG / shot

0.0

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
xG0.04
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

+0.113

Passing impact / 100 passes

+0.170

Carrying impact / 100 carries

+0.047

Progressive-action impact / 100 actions

+0.099

Under-pressure impact / 100 actions

+0.030

117 actions · 63 passes · 54 carries · 57.3% 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

10 attempts

Limited sample
Actual
90.0%
Pass difficulty
73.2%
Actual vs. expected passing
+16.8 pp

Limited sample — interpret this split cautiously.

Progressive passing

15 attempts

Limited sample
Actual
46.7%
Pass difficulty
36.7%
Actual vs. expected passing
+10.0 pp

Limited sample — interpret this split cautiously.

Long passing

13 attempts

Limited sample
Actual
46.2%
Pass difficulty
44.3%

Progression profile

Progressive-pass rate

23.1%

Pressure-pass rate

15.4%

Average forward distance

7.5 m

Positive forward distance / 100

1050.8 m

Final-third entries / 100

16.9

Campos visualization

Pass map

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

Showing 1–65 of 65 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
93.8%
Outcome
Completed
Attacking impact
0.0022
Value before
0.0060
Value after
0.0082
Length
16.2 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

Matthias Bader

Darmstadt 98 · Right Back

Style similarity

75.6 / 100

Long Pass RateProgressive Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#2 · Same position group

Niels Nkounkou

Eintracht Frankfurt · Left Wing Back

Style similarity

75.6 / 100

Actual vs. expected passing
+1.8 pp

Limited sample — interpret this split cautiously.

Long Pass RateProgressive Pass RateExpected Completion Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#3 · Same position group

Matthias Ginter

Freiburg · Right Center Back

Style similarity

74.0 / 100

Positive Forward Distance Per 100 PassesExpected Completion RateLong Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#4 · Same position group

Jeffrey Gouweleeuw

Augsburg · Right Center Back

Style similarity

71.8 / 100

Expected Completion RateCarry Share Of ActionsPositive Forward Distance Per 100 Passes

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#5 · Same position group

Diogo Filipe Monteiro Pinto Leite

Union Berlin · Left Center Back

Style similarity

70.8 / 100

Positive Forward Distance Per 100 PassesPressure Pass RateLong Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#6 · Same position group

Rasmus Carstensen

FC Köln · Right Back

Style similarity

70.6 / 100

Pressure Pass RateLong Pass 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.