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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Lucas Silva Melo

Eintracht Frankfurt · Right Back · DEF

Matches observed2
Pass attempts127
Reliable sample

Actual completion

87.4%

111 completed passes

Pass difficulty

86.1%

How difficult a pass was to complete.

Actual vs. expected passing

+1.3 pp

+1.6 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.

102030405060708090Under-pressure pass rateProgressive pass rateLong-pass rateProgressive carry rateActual vs. expected passingCarrying impact / 100 carries
Style
Performance
0–100 empirical percentiles among eligible same-position peers.

Style

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

Pass difficulty

86.1%

36th percentile among DEF players

n = 23 eligible peers · sample 127

Under-pressure pass rate

14.2%

82nd percentile among DEF players

n = 23 eligible peers · sample 127

Progressive pass rate

11.8%

50th percentile among DEF players

n = 23 eligible peers · sample 127

Long-pass rate

13.4%

50th percentile among DEF players

n = 23 eligible peers · sample 127

Average forward distance

2.3 units

32nd percentile among DEF players

n = 23 eligible peers · sample 127

Positive forward distance / 100 passes

724.6 units

36th percentile among DEF players

n = 23 eligible peers · sample 127

Final-third entries / 100 passes

9.449

59th percentile among DEF players

n = 23 eligible peers · sample 127

Carry share of actions

46.1%

78th percentile among DEF players

n = 94 eligible peers · sample 230

Progressive carry rate

0.0%

16th percentile among DEF players

n = 87 eligible peers · sample 106

Progressive action rate

5.7%

19th percentile among DEF players

n = 94 eligible peers · sample 230

Under-pressure action rate

19.1%

69th percentile among DEF players

n = 94 eligible peers · sample 230

Shots / observed match

0.50 / match

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

xG / shot

8.6%

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

+1.3 pp

64th percentile among DEF players

n = 23 eligible peers · sample 127

Under-pressure completion above expected

+3.3 pp

Unavailable among DEF players

n = 13 eligible peers · sample 18

requires 20 pressure passes

Progressive completion above expected

-9.2 pp

Unavailable among DEF players

n = 17 eligible peers · sample 15

requires 20 progressive passes

Long-pass completion above expected

-7.4 pp

Unavailable among DEF players

n = 21 eligible peers · sample 17

requires 20 long passes

Goals above expected

-0.086

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

-0.051

12th percentile among DEF players

n = 94 eligible peers · sample 230

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

Passing impact / 100 passes

-0.113

24th percentile among DEF players

n = 94 eligible peers · sample 124

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

Carrying impact / 100 carries

0.020

8th percentile among DEF players

n = 87 eligible peers · sample 106

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

Progressive-action impact / 100 actions

-0.039

17th percentile among DEF players

n = 94 eligible peers · sample 230

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

Under-pressure impact / 100 actions

0.008

31st percentile among DEF players

n = 94 eligible peers · sample 230

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

Playing style

Safe Circulator

Position-relative style among eligible DEF players.

Style separation0.813

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+0.40 z
Under-pressure pass rate+0.34 z
Progressive-pass rate-0.61 z
Long-pass rate-0.38 z
Positive forward distance / 100 passes-0.63 z
Carry share of actions+0.76 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 closer0.289
CloserFarther

Strongest alignment

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

Largest difference

Long Pass Rate

limited sampleObserved across 2 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
xG0.09
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

-0.051

Passing impact / 100 passes

-0.113

Carrying impact / 100 carries

+0.020

Progressive-action impact / 100 actions

-0.039

Under-pressure impact / 100 actions

+0.008

230 actions · 124 passes · 106 carries · 49.6% 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

18 attempts

Limited sample
Actual
72.2%
Pass difficulty
69.0%
Actual vs. expected passing
+3.3 pp

Limited sample — interpret this split cautiously.

Progressive passing

15 attempts

Limited sample
Actual
33.3%
Pass difficulty
42.5%
Actual vs. expected passing
-9.2 pp

Limited sample — interpret this split cautiously.

Long passing

17 attempts

Limited sample
Actual
64.7%
Pass difficulty
72.1%

Progression profile

Progressive-pass rate

11.8%

Pressure-pass rate

14.2%

Average forward distance

2.3 m

Positive forward distance / 100

724.6 m

Final-third entries / 100

9.4

Campos visualization

Pass map

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

Showing 1–127 of 127 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
99.6%
Outcome
Completed
Attacking impact
0.0001
Value before
0.0067
Value after
0.0068
Length
11.3 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 2 observed matches, so nearest-neighbor rankings may be less stable.

#1 · Same position group

Josip Stanišić

Bayer Leverkusen · Right Center Back

Style similarity

90.0 / 100

Carry Share Of ActionsProgressive Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 20 matches

#2 · Same position group

Odilon Kossonou

Bayer Leverkusen · Right Center Back

Style similarity

80.1 / 100

Actual vs. expected passing
-7.4 pp

Limited sample — interpret this split cautiously.

Carry Share Of ActionsPositive Forward Distance Per 100 PassesProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 21 matches

#3 · Same position group

Kevin Akpoguma

Hoffenheim · Left Center Back

Style similarity

78.3 / 100

Progressive Pass RatePressure Pass RateExpected Completion Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#4 · Same position group

Robin Koch

Eintracht Frankfurt · Right Center Back

Style similarity

77.8 / 100

Carry Share Of ActionsPositive Forward Distance Per 100 PassesLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Julian Ryerson

Borussia Dortmund · Left Back

Style similarity

77.1 / 100

Long Pass RateExpected Completion RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Ozan Muhammed Kabak

Hoffenheim · Right Center Back

Style similarity

76.9 / 100

Expected Completion RatePressure Pass RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 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.