FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Leroy Sané

Bayern Munich · Right Wing · FWD

Matches observed2
Pass attempts107
Reliable sample

Actual completion

75.7%

81 completed passes

Pass difficulty

78.5%

How difficult a pass was to complete.

Actual vs. expected passing

-2.8 pp

-3.0 completions vs model expectation

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

Player intelligence

Position profile

FWD 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

78.5%

Unavailable among FWD players

n = 3 eligible peers · sample 107

requires 10 eligible position peers

Under-pressure pass rate

15.0%

Unavailable among FWD players

n = 3 eligible peers · sample 107

requires 10 eligible position peers

Progressive pass rate

22.4%

Unavailable among FWD players

n = 3 eligible peers · sample 107

requires 10 eligible position peers

Long-pass rate

16.8%

Unavailable among FWD players

n = 3 eligible peers · sample 107

requires 10 eligible position peers

Average forward distance

-0.9 units

Unavailable among FWD players

n = 3 eligible peers · sample 107

requires 10 eligible position peers

Positive forward distance / 100 passes

411.8 units

Unavailable among FWD players

n = 3 eligible peers · sample 107

requires 10 eligible position peers

Final-third entries / 100 passes

6.542

Unavailable among FWD players

n = 3 eligible peers · sample 107

requires 10 eligible position peers

Carry share of actions

50.0%

79th percentile among FWD players

n = 20 eligible peers · sample 210

Progressive carry rate

11.4%

79th percentile among FWD players

n = 20 eligible peers · sample 105

Progressive action rate

17.1%

79th percentile among FWD players

n = 20 eligible peers · sample 210

Under-pressure action rate

32.4%

26th percentile among FWD players

n = 20 eligible peers · sample 210

Shots / observed match

1.50 / match

Unavailable among FWD players

n = 2 eligible peers · sample 3

requires 20 shots

xG / shot

6.1%

Unavailable among FWD players

n = 2 eligible peers · sample 3

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

-2.8 pp

Unavailable among FWD players

n = 3 eligible peers · sample 107

requires 10 eligible position peers

Under-pressure completion above expected

-3.0 pp

Unavailable among FWD players

n = 3 eligible peers · sample 16

requires 20 pressure passes

Progressive completion above expected

+1.4 pp

Unavailable among FWD players

n = 3 eligible peers · sample 24

requires 10 eligible position peers

Long-pass completion above expected

-6.5 pp

Unavailable among FWD players

n = 1 eligible peers · sample 18

requires 20 long passes

Goals above expected

-0.182

Unavailable among FWD players

n = 2 eligible peers · sample 3

requires 20 shots

Overall impact / 100 actions

-0.076

53rd percentile among FWD players

n = 20 eligible peers · sample 210

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

Passing impact / 100 passes

-0.336

50th percentile among FWD players

n = 19 eligible peers · sample 105

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

Carrying impact / 100 carries

0.183

47th percentile among FWD players

n = 20 eligible peers · sample 105

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

Progressive-action impact / 100 actions

0.002

37th percentile among FWD players

n = 20 eligible peers · sample 210

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

Under-pressure impact / 100 actions

0.068

74th percentile among FWD players

n = 20 eligible peers · sample 210

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

Playing style

Safe Circulator

Position-relative style among eligible FWD players.

Style separation0.199

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+0.17 z
Under-pressure pass rate-1.02 z
Progressive-pass rate+0.30 z
Long-pass rate+0.25 z
Positive forward distance / 100 passes-0.65 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

FWD role

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

Role distance · lower is closer1.043
CloserFarther

Strongest alignment

  • Positive Forward Distance Per 100 Passes
  • Expected Completion Rate
  • Carry Share Of Actions

Largest difference

Pressure Pass Rate

limited sampleObserved across 2 matchesRole: 33 matches · 3 contributors

Limited contributor diversity: this role profile is based on three contributing forwards across 33 observed matches and is more sensitive to individual-player composition than the DEF and MID profiles.

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

3

2 matches observed

Goals

0

Total xG

0.2

Goals above expected

-0.2

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.

Shots3
Goals0
xG0.18
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

-0.076

Passing impact / 100 passes

-0.336

Carrying impact / 100 carries

+0.183

Progressive-action impact / 100 actions

+0.002

Under-pressure impact / 100 actions

+0.068

210 actions · 105 passes · 105 carries · 47.6% 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

16 attempts

Limited sample
Actual
75.0%
Pass difficulty
78.0%
Actual vs. expected passing
-3.0 pp

Limited sample — interpret this split cautiously.

Progressive passing

24 attempts

Reliable sample
Actual
45.8%
Pass difficulty
44.4%
Actual vs. expected passing
+1.4 pp

Long passing

18 attempts

Limited sample
Actual
50.0%
Pass difficulty
56.5%
Actual vs. expected passing

Progression profile

Progressive-pass rate

22.4%

Pressure-pass rate

15.0%

Average forward distance

-0.9 m

Positive forward distance / 100

411.8 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 1–107 of 107 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
99.2%
Outcome
Completed
Attacking impact
-0.0000
Value before
0.0103
Value after
0.0103
Length
16.5 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

Brajan Gruda

FSV Mainz 05 · Right Wing

Style similarity

59.8 / 100

Carry Share Of ActionsLong Pass RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Victor Okoh Boniface

Bayer Leverkusen · Center Forward

Style similarity

59.0 / 100

-6.5 pp

Limited sample — interpret this split cautiously.

Positive Forward Distance Per 100 PassesExpected Completion RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 23 matches

#3 · Same position group

Jae-Sung Lee

FSV Mainz 05 · Left Wing

Style similarity

55.1 / 100

Carry Share Of ActionsPositive Forward Distance Per 100 PassesExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Fares Chaïbi

Eintracht Frankfurt · Center Forward

Style similarity

52.4 / 100

Pressure Pass RateProgressive Pass RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Marvin Ducksch

Werder Bremen · Left Center Forward

Style similarity

52.4 / 100

Long Pass RateProgressive Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Borja Iglesias Quintas

Bayer Leverkusen · Center Forward

Style similarity

52.1 / 100

Carry Share Of ActionsExpected Completion RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 7 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.