FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Lennard Maloney

FC Heidenheim · Right Defensive Midfield · MID

Matches observed2
Pass attempts85
Limited sample

Actual completion

72.9%

62 completed passes

Pass difficulty

80.4%

How difficult a pass was to complete.

Actual vs. expected passing

-7.4 pp

-6.3 completions vs model expectation

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

Player intelligence

Position profile

MID 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

80.4%

Unavailable among MID players

n = 13 eligible peers · sample 85

requires 100 passes

Under-pressure pass rate

16.5%

Unavailable among MID players

n = 13 eligible peers · sample 85

requires 100 passes

Progressive pass rate

8.2%

Unavailable among MID players

n = 13 eligible peers · sample 85

requires 100 passes

Long-pass rate

22.4%

Unavailable among MID players

n = 13 eligible peers · sample 85

requires 100 passes

Average forward distance

2.3 units

Unavailable among MID players

n = 13 eligible peers · sample 85

requires 100 passes

Positive forward distance / 100 passes

725.6 units

Unavailable among MID players

n = 13 eligible peers · sample 85

requires 100 passes

Final-third entries / 100 passes

12.941

Unavailable among MID players

n = 13 eligible peers · sample 85

requires 100 passes

Carry share of actions

44.2%

37th percentile among MID players

n = 61 eligible peers · sample 129

Progressive carry rate

1.8%

32nd percentile among MID players

n = 66 eligible peers · sample 57

Progressive action rate

4.7%

25th percentile among MID players

n = 61 eligible peers · sample 129

Under-pressure action rate

15.5%

13th percentile among MID players

n = 61 eligible peers · sample 129

Shots / observed match

0.00 / match

Unavailable among MID players

n = 5 eligible peers · sample 0

requires 20 shots

xG / shot

—

Unavailable among MID players

n = 5 eligible peers · sample 0

metric unavailable

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

-7.4 pp

Unavailable among MID players

n = 13 eligible peers · sample 85

requires 100 passes

Under-pressure completion above expected

+0.9 pp

Unavailable among MID players

n = 10 eligible peers · sample 14

requires 20 pressure passes

Progressive completion above expected

-29.8 pp

Unavailable among MID players

n = 9 eligible peers · sample 7

requires 20 progressive passes

Long-pass completion above expected

-10.1 pp

Unavailable among MID players

n = 9 eligible peers · sample 19

requires 20 long passes

Goals above expected

0.000

Unavailable among MID players

n = 5 eligible peers · sample 0

requires 20 shots

Overall impact / 100 actions

-0.139

5th percentile among MID players

n = 61 eligible peers · sample 129

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

Passing impact / 100 passes

-0.288

7th percentile among MID players

n = 58 eligible peers · sample 72

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

Carrying impact / 100 carries

0.049

17th percentile among MID players

n = 66 eligible peers · sample 57

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

Progressive-action impact / 100 actions

-0.046

12th percentile among MID players

n = 61 eligible peers · sample 129

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

Under-pressure impact / 100 actions

-0.006

12th percentile among MID players

n = 61 eligible peers · sample 129

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

Playing style

Direct Progressor

Position-relative style among eligible MID players.

Style separation0.431

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty-1.26 z
Under-pressure pass rate-0.03 z
Progressive-pass rate-0.66 z
Long-pass rate+1.85 z
Positive forward distance / 100 passes+1.07 z
Carry share of actions-0.39 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

MID role

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

Role distance · lower is closer1.319
CloserFarther

Strongest alignment

  • Pressure Pass Rate
  • Carry Share Of Actions
  • Progressive Pass Rate

Largest difference

Long Pass Rate

limited sampleObserved across 2 matchesRole: 34 matches · 10 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

-0.139

Passing impact / 100 passes

-0.288

Carrying impact / 100 carries

+0.049

Progressive-action impact / 100 actions

-0.046

Under-pressure impact / 100 actions

-0.006

129 actions · 72 passes · 57 carries · 41.1% 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

14 attempts

Limited sample
Actual
57.1%
Pass difficulty
56.2%
Actual vs. expected passing
+0.9 pp

Limited sample — interpret this split cautiously.

Progressive passing

7 attempts

Limited sample
Actual
0.0%
Pass difficulty
29.8%
Actual vs. expected passing
-29.8 pp

Limited sample — interpret this split cautiously.

Long passing

19 attempts

Limited sample
Actual
63.2%
Pass difficulty
73.3%

Progression profile

Progressive-pass rate

8.2%

Pressure-pass rate

16.5%

Average forward distance

2.3 m

Positive forward distance / 100

725.6 m

Final-third entries / 100

12.9

Campos visualization

Pass map

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

Showing 1–85 of 85 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
4.4%
Outcome
Incomplete
Attacking impact
-0.0056
Value before
0.0056
Value after
0.0000
Length
59.8 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.

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

Yannick Gerhardt

Wolfsburg · Right Center Midfield

Style similarity

57.1 / 100

Pressure Pass RateExpected Completion RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Maximilian Arnold

Wolfsburg · Center Defensive Midfield

Style similarity

56.5 / 100

Actual vs. expected passing
-10.1 pp

Limited sample — interpret this split cautiously.

Pressure Pass RatePositive Forward Distance Per 100 PassesLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Angelo Stiller

VfB Stuttgart · Left Defensive Midfield

Style similarity

56.0 / 100

Carry Share Of ActionsPositive Forward Distance Per 100 PassesProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#4 · Same position group

Joshua Kimmich

Bayern Munich · Right Defensive Midfield

Style similarity

55.6 / 100

Positive Forward Distance Per 100 PassesLong Pass RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Romano Schmid

Werder Bremen · Left Center Midfield

Style similarity

54.7 / 100

Positive Forward Distance Per 100 PassesExpected Completion RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Aïssa Bilal Laïdouni

Union Berlin · Left Defensive Midfield

Style similarity

54.5 / 100

Pressure Pass RateProgressive Pass RatePositive Forward Distance Per 100 Passes

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.