FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Marius Bülter

Hoffenheim · Left Wing Back · DEF

Matches observed2
Pass attempts51
Limited sample

Actual completion

60.8%

31 completed passes

Pass difficulty

67.3%

How difficult a pass was to complete.

Actual vs. expected passing

-6.5 pp

-3.3 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

67.3%

Unavailable among DEF players

n = 23 eligible peers · sample 51

requires 100 passes

Under-pressure pass rate

13.7%

Unavailable among DEF players

n = 23 eligible peers · sample 51

requires 100 passes

Progressive pass rate

37.3%

Unavailable among DEF players

n = 23 eligible peers · sample 51

requires 100 passes

Long-pass rate

29.4%

Unavailable among DEF players

n = 23 eligible peers · sample 51

requires 100 passes

Average forward distance

5.5 units

Unavailable among DEF players

n = 23 eligible peers · sample 51

requires 100 passes

Positive forward distance / 100 passes

864.1 units

Unavailable among DEF players

n = 23 eligible peers · sample 51

requires 100 passes

Final-third entries / 100 passes

5.882

Unavailable among DEF players

n = 23 eligible peers · sample 51

requires 100 passes

Carry share of actions

39.8%

11th percentile among DEF players

n = 94 eligible peers · sample 83

Progressive carry rate

12.1%

97th percentile among DEF players

n = 87 eligible peers · sample 33

Progressive action rate

27.7%

100th percentile among DEF players

n = 94 eligible peers · sample 83

Under-pressure action rate

18.1%

63rd percentile among DEF players

n = 94 eligible peers · sample 83

Shots / observed match

0.50 / match

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

xG / shot

3.7%

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

-6.5 pp

Unavailable among DEF players

n = 23 eligible peers · sample 51

requires 100 passes

Under-pressure completion above expected

-8.8 pp

Unavailable among DEF players

n = 13 eligible peers · sample 7

requires 20 pressure passes

Progressive completion above expected

-13.4 pp

Unavailable among DEF players

n = 17 eligible peers · sample 19

requires 20 progressive passes

Long-pass completion above expected

-24.7 pp

Unavailable among DEF players

n = 21 eligible peers · sample 15

requires 20 long passes

Goals above expected

-0.037

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

-0.307

1st percentile among DEF players

n = 94 eligible peers · sample 83

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

Passing impact / 100 passes

-0.686

0th percentile among DEF players

n = 94 eligible peers · sample 50

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

Carrying impact / 100 carries

0.267

97th percentile among DEF players

n = 87 eligible peers · sample 33

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

Progressive-action impact / 100 actions

-0.248

1st percentile among DEF players

n = 94 eligible peers · sample 83

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

Under-pressure impact / 100 actions

0.035

80th percentile among DEF players

n = 94 eligible peers · sample 83

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

Playing style

Direct Progressor

Position-relative style among eligible DEF players.

Style separation0.385

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty-2.84 z
Under-pressure pass rate+0.26 z
Progressive-pass rate+2.90 z
Long-pass rate+2.03 z
Positive forward distance / 100 passes-0.06 z
Carry share of actions-1.51 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 closer2.526
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

1

1 matches observed

Goals

0

Total xG

0.0

Goals above expected

-0.0

xG / shot

0.0

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
xG0.04
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

-0.307

Passing impact / 100 passes

-0.686

Carrying impact / 100 carries

+0.267

Progressive-action impact / 100 actions

-0.248

Under-pressure impact / 100 actions

+0.035

83 actions · 50 passes · 33 carries · 53.0% 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

7 attempts

Limited sample
Actual
42.9%
Pass difficulty
51.7%
Actual vs. expected passing
-8.8 pp

Limited sample — interpret this split cautiously.

Progressive passing

19 attempts

Limited sample
Actual
21.1%
Pass difficulty
34.4%
Actual vs. expected passing
-13.4 pp

Limited sample — interpret this split cautiously.

Long passing

15 attempts

Limited sample
Actual
6.7%
Pass difficulty
31.3%

Progression profile

Progressive-pass rate

37.3%

Pressure-pass rate

13.7%

Average forward distance

5.5 m

Positive forward distance / 100

864.1 m

Final-third entries / 100

5.9

Campos visualization

Pass map

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

Showing 1–51 of 51 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
97.0%
Outcome
Completed
Attacking impact
0.0004
Value before
0.0026
Value after
0.0030
Length
10.5 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

Marius Wolf

Borussia Dortmund · Right Back

Style similarity

58.9 / 100

Expected Completion RateCarry Share Of ActionsProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Jonas Föhrenbach

FC Heidenheim · Left Back

Style similarity

58.3 / 100

Actual vs. expected passing
-24.7 pp

Limited sample — interpret this split cautiously.

Pressure Pass RateExpected Completion RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Leart Paqarada

FC Köln · Left Back

Style similarity

58.1 / 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

Franck Honorat

Borussia Mönchengladbach · Right Wing Back

Style similarity

55.6 / 100

Positive Forward Distance Per 100 PassesCarry Share Of ActionsProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Omar Haktab Traorè

FC Heidenheim · Right Back

Style similarity

54.9 / 100

Carry Share Of ActionsPositive Forward Distance Per 100 PassesProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Kiliann Sildillia

Freiburg · Right Back

Style similarity

52.7 / 100

Pressure Pass RatePositive Forward Distance Per 100 PassesExpected Completion 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.