FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Ridle Bote Baku

Wolfsburg · Right Wing Back · DEF

Matches observed2
Pass attempts81
Limited sample

Actual completion

74.1%

60 completed passes

Pass difficulty

80.3%

How difficult a pass was to complete.

Actual vs. expected passing

-6.2 pp

-5.0 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

80.3%

Unavailable among DEF players

n = 23 eligible peers · sample 81

requires 100 passes

Under-pressure pass rate

11.1%

Unavailable among DEF players

n = 23 eligible peers · sample 81

requires 100 passes

Progressive pass rate

24.7%

Unavailable among DEF players

n = 23 eligible peers · sample 81

requires 100 passes

Long-pass rate

16.0%

Unavailable among DEF players

n = 23 eligible peers · sample 81

requires 100 passes

Average forward distance

0.9 units

Unavailable among DEF players

n = 23 eligible peers · sample 81

requires 100 passes

Positive forward distance / 100 passes

706.0 units

Unavailable among DEF players

n = 23 eligible peers · sample 81

requires 100 passes

Final-third entries / 100 passes

8.642

Unavailable among DEF players

n = 23 eligible peers · sample 81

requires 100 passes

Carry share of actions

44.0%

56th percentile among DEF players

n = 94 eligible peers · sample 141

Progressive carry rate

9.7%

91st percentile among DEF players

n = 87 eligible peers · sample 62

Progressive action rate

17.7%

89th percentile among DEF players

n = 94 eligible peers · sample 141

Under-pressure action rate

17.7%

62nd percentile among DEF players

n = 94 eligible peers · sample 141

Shots / observed match

1.00 / match

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

xG / shot

5.8%

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

-6.2 pp

Unavailable among DEF players

n = 23 eligible peers · sample 81

requires 100 passes

Under-pressure completion above expected

-13.9 pp

Unavailable among DEF players

n = 13 eligible peers · sample 9

requires 20 pressure passes

Progressive completion above expected

-4.7 pp

6th percentile among DEF players

n = 17 eligible peers · sample 20

Long-pass completion above expected

-9.1 pp

Unavailable among DEF players

n = 21 eligible peers · sample 13

requires 20 long passes

Goals above expected

-0.117

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

Overall impact / 100 actions

0.056

82nd percentile among DEF players

n = 94 eligible peers · sample 141

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

Passing impact / 100 passes

-0.028

53rd percentile among DEF players

n = 94 eligible peers · sample 79

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

Carrying impact / 100 carries

0.163

88th percentile among DEF players

n = 87 eligible peers · sample 62

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

Progressive-action impact / 100 actions

0.149

91st percentile among DEF players

n = 94 eligible peers · sample 141

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

Under-pressure impact / 100 actions

0.006

29th percentile among DEF players

n = 94 eligible peers · sample 141

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

Playing style

Direct Progressor

Position-relative style among eligible DEF players.

Style separation0.281

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty-0.61 z
Under-pressure pass rate-0.21 z
Progressive-pass rate+1.17 z
Long-pass rate+0.02 z
Positive forward distance / 100 passes-0.71 z
Carry share of actions+0.00 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 closer0.996
CloserFarther

Strongest alignment

  • Pressure Pass Rate
  • Positive Forward Distance Per 100 Passes
  • Carry Share Of Actions

Largest difference

Progressive 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

2

2 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.

Shots2
Goals0
xG0.12
xG0.00 – 1.00
Foot
Corner
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

+0.056

Passing impact / 100 passes

-0.028

Carrying impact / 100 carries

+0.163

Progressive-action impact / 100 actions

+0.149

Under-pressure impact / 100 actions

+0.006

141 actions · 79 passes · 62 carries · 44.0% 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
55.6%
Pass difficulty
69.4%
Actual vs. expected passing
-13.9 pp

Limited sample — interpret this split cautiously.

Progressive passing

20 attempts

Reliable sample
Actual
45.0%
Pass difficulty
49.7%
Actual vs. expected passing
-4.7 pp

Long passing

13 attempts

Limited sample
Actual
53.8%
Pass difficulty
62.9%
Actual vs. expected passing

Progression profile

Progressive-pass rate

24.7%

Pressure-pass rate

11.1%

Average forward distance

0.9 m

Positive forward distance / 100

706.0 m

Final-third entries / 100

8.6

Campos visualization

Pass map

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

Showing 1–81 of 81 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
95.9%
Outcome
Completed
Attacking impact
-0.0012
Value before
0.0100
Value after
0.0088
Length
8.4 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

Rasmus Carstensen

FC Köln · Right Back

Style similarity

71.4 / 100

Carry Share Of ActionsLong Pass RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Franck Honorat

Borussia Mönchengladbach · Right Wing Back

Style similarity

71.0 / 100

-9.1 pp

Limited sample — interpret this split cautiously.

Positive Forward Distance Per 100 PassesPressure Pass RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Maximilian Mittelstädt

VfB Stuttgart · Left Back

Style similarity

70.8 / 100

Positive Forward Distance Per 100 PassesExpected Completion RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Alejandro Grimaldo García

Bayer Leverkusen · Left Wing Back

Style similarity

70.7 / 100

Carry Share Of ActionsPressure Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 33 matches

#5 · Same position group

Niels Nkounkou

Eintracht Frankfurt · Left Wing Back

Style similarity

69.2 / 100

Expected Completion RatePressure Pass RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

David Raum

RB Leipzig · Left Back

Style similarity

68.8 / 100

Positive Forward Distance Per 100 PassesProgressive Pass RateLong 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.