FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Sacha Boey

Bayern Munich · Left Wing Back · DEF

Matches observed1
Pass attempts55
Limited sample

Actual completion

87.3%

48 completed passes

Pass difficulty

88.0%

How difficult a pass was to complete.

Actual vs. expected passing

-0.8 pp

-0.4 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

88.0%

Unavailable among DEF players

n = 23 eligible peers · sample 55

requires 100 passes

Under-pressure pass rate

16.4%

Unavailable among DEF players

n = 23 eligible peers · sample 55

requires 100 passes

Progressive pass rate

3.6%

Unavailable among DEF players

n = 23 eligible peers · sample 55

requires 100 passes

Long-pass rate

0.0%

Unavailable among DEF players

n = 23 eligible peers · sample 55

requires 100 passes

Average forward distance

-1.6 units

Unavailable among DEF players

n = 23 eligible peers · sample 55

requires 100 passes

Positive forward distance / 100 passes

388.7 units

Unavailable among DEF players

n = 23 eligible peers · sample 55

requires 100 passes

Final-third entries / 100 passes

0.000

Unavailable among DEF players

n = 23 eligible peers · sample 55

requires 100 passes

Carry share of actions

43.5%

37th percentile among DEF players

n = 94 eligible peers · sample 92

Progressive carry rate

5.0%

78th percentile among DEF players

n = 87 eligible peers · sample 40

Progressive action rate

4.3%

10th percentile among DEF players

n = 94 eligible peers · sample 92

Under-pressure action rate

33.7%

99th percentile among DEF players

n = 94 eligible peers · sample 92

Shots / observed match

1.00 / match

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

xG / shot

26.3%

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

-0.8 pp

Unavailable among DEF players

n = 23 eligible peers · sample 55

requires 100 passes

Under-pressure completion above expected

-11.5 pp

Unavailable among DEF players

n = 13 eligible peers · sample 9

requires 20 pressure passes

Progressive completion above expected

-12.2 pp

Unavailable among DEF players

n = 17 eligible peers · sample 2

requires 20 progressive passes

Long-pass completion above expected

—

Unavailable among DEF players

n = 21 eligible peers · sample 0

metric unavailable

Goals above expected

-0.263

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

-0.099

8th percentile among DEF players

n = 94 eligible peers · sample 92

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

Passing impact / 100 passes

-0.242

9th percentile among DEF players

n = 94 eligible peers · sample 52

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

Carrying impact / 100 carries

0.085

70th percentile among DEF players

n = 87 eligible peers · sample 40

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

Progressive-action impact / 100 actions

-0.022

28th percentile among DEF players

n = 94 eligible peers · sample 92

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

Under-pressure impact / 100 actions

0.015

47th percentile among DEF players

n = 94 eligible peers · sample 92

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

Playing style

Safe Circulator

Position-relative style among eligible DEF players.

Style separation0.461

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+0.72 z
Under-pressure pass rate+0.74 z
Progressive-pass rate-1.74 z
Long-pass rate-2.39 z
Positive forward distance / 100 passes-2.01 z
Carry share of actions-0.17 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 closer1.054
CloserFarther

Strongest alignment

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

Largest difference

Long Pass Rate

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

0.3

Goals above expected

-0.3

xG / shot

0.3

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
xG0.26
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

-0.099

Passing impact / 100 passes

-0.242

Carrying impact / 100 carries

+0.085

Progressive-action impact / 100 actions

-0.022

Under-pressure impact / 100 actions

+0.015

92 actions · 52 passes · 40 carries · 43.5% 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

9 attempts

Limited sample
Actual
77.8%
Pass difficulty
89.3%
Actual vs. expected passing
-11.5 pp

Limited sample — interpret this split cautiously.

Progressive passing

2 attempts

Limited sample
Actual
50.0%
Pass difficulty
62.2%
Actual vs. expected passing
-12.2 pp

Limited sample — interpret this split cautiously.

Long passing

0 attempts

Limited sample
Actual
—
Pass difficulty
—

Progression profile

Progressive-pass rate

3.6%

Pressure-pass rate

16.4%

Average forward distance

-1.6 m

Positive forward distance / 100

388.7 m

Final-third entries / 100

0.0

Campos visualization

Pass map

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

Showing 1–55 of 55 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
99.4%
Outcome
Completed
Attacking impact
0.0016
Value before
0.0038
Value after
0.0054
Length
28.5 m
Context
Under pressure
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

Konrad Laimer

Bayern Munich · Right Back

Style similarity

76.6 / 100

Progressive Pass RateLong Pass RateCarry Share Of Actions

Sample support: Limited · 1 limiting matches

Observed: 1 vs 1 matches

#2 · Same position group

Aurélio Gabriel Ulineia Buta

Eintracht Frankfurt · Right Wing Back

Style similarity

62.7 / 100

Actual vs. expected passing
—

Limited sample — interpret this split cautiously.

Positive Forward Distance Per 100 PassesPressure Pass RateExpected Completion Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#3 · Same position group

Noussair Mazraoui

Bayern Munich · Right Wing Back

Style similarity

62.4 / 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

Christian Groß

Werder Bremen · Center Back

Style similarity

60.2 / 100

Pressure Pass RateCarry Share Of ActionsProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 1 matches

#5 · Same position group

Jonathan Tah

Bayer Leverkusen · Center Back

Style similarity

57.8 / 100

Progressive Pass RateExpected Completion RateCarry Share Of Actions

Sample support: Limited · 1 limiting matches

Observed: 1 vs 31 matches

#6 · Same position group

Mads Pedersen

Augsburg · Right Back

Style similarity

57.0 / 100

Expected Completion RateCarry Share Of ActionsPressure Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 1 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.