FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Marius Wolf

Borussia Dortmund · Right Back · DEF

Matches observed2
Pass attempts82
Limited sample

Actual completion

69.5%

57 completed passes

Pass difficulty

67.2%

How difficult a pass was to complete.

Actual vs. expected passing

+2.3 pp

+1.9 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

67.2%

Unavailable among DEF players

n = 23 eligible peers · sample 82

requires 100 passes

Under-pressure pass rate

6.1%

Unavailable among DEF players

n = 23 eligible peers · sample 82

requires 100 passes

Progressive pass rate

32.9%

Unavailable among DEF players

n = 23 eligible peers · sample 82

requires 100 passes

Long-pass rate

23.2%

Unavailable among DEF players

n = 23 eligible peers · sample 82

requires 100 passes

Average forward distance

7.8 units

Unavailable among DEF players

n = 23 eligible peers · sample 82

requires 100 passes

Positive forward distance / 100 passes

1233.2 units

Unavailable among DEF players

n = 23 eligible peers · sample 82

requires 100 passes

Final-third entries / 100 passes

12.195

Unavailable among DEF players

n = 23 eligible peers · sample 82

requires 100 passes

Carry share of actions

38.2%

5th percentile among DEF players

n = 94 eligible peers · sample 123

Progressive carry rate

2.1%

48th percentile among DEF players

n = 87 eligible peers · sample 47

Progressive action rate

21.1%

95th percentile among DEF players

n = 94 eligible peers · sample 123

Under-pressure action rate

8.9%

15th percentile among DEF players

n = 94 eligible peers · sample 123

Shots / observed match

0.50 / match

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

xG / shot

8.6%

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

+2.3 pp

Unavailable among DEF players

n = 23 eligible peers · sample 82

requires 100 passes

Under-pressure completion above expected

-21.3 pp

Unavailable among DEF players

n = 13 eligible peers · sample 5

requires 20 pressure passes

Progressive completion above expected

+13.4 pp

100th percentile among DEF players

n = 17 eligible peers · sample 27

Long-pass completion above expected

+17.8 pp

Unavailable among DEF players

n = 21 eligible peers · sample 19

requires 20 long passes

Goals above expected

-0.086

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

-0.073

11th percentile among DEF players

n = 94 eligible peers · sample 123

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

Passing impact / 100 passes

-0.143

19th percentile among DEF players

n = 94 eligible peers · sample 76

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

Carrying impact / 100 carries

0.041

24th percentile among DEF players

n = 87 eligible peers · sample 47

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

Progressive-action impact / 100 actions

0.026

68th percentile among DEF players

n = 94 eligible peers · sample 123

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

Under-pressure impact / 100 actions

-0.025

5th percentile among DEF players

n = 94 eligible peers · sample 123

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

Playing style

Direct Progressor

Position-relative style among eligible DEF players.

Style separation0.423

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty-2.87 z
Under-pressure pass rate-1.12 z
Progressive-pass rate+2.30 z
Long-pass rate+1.09 z
Positive forward distance / 100 passes+1.46 z
Carry share of actions-2.07 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 closer2.538
CloserFarther

Strongest alignment

  • Pressure Pass Rate
  • Long Pass Rate
  • Positive Forward Distance Per 100 Passes

Largest difference

Expected Completion 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

0.1

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.

Shots1
Goals0
xG0.09
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

-0.073

Passing impact / 100 passes

-0.143

Carrying impact / 100 carries

+0.041

Progressive-action impact / 100 actions

+0.026

Under-pressure impact / 100 actions

-0.025

123 actions · 76 passes · 47 carries · 56.9% 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

5 attempts

Limited sample
Actual
40.0%
Pass difficulty
61.3%
Actual vs. expected passing
-21.3 pp

Limited sample — interpret this split cautiously.

Progressive passing

27 attempts

Reliable sample
Actual
59.3%
Pass difficulty
45.9%
Actual vs. expected passing
+13.4 pp

Long passing

19 attempts

Limited sample
Actual
63.2%
Pass difficulty
45.4%
Actual vs. expected passing

Progression profile

Progressive-pass rate

32.9%

Pressure-pass rate

6.1%

Average forward distance

7.8 m

Positive forward distance / 100

1233.2 m

Final-third entries / 100

12.2

Campos visualization

Pass map

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

Showing 1–82 of 82 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
41.9%
Outcome
Completed
Attacking impact
0.0020
Value before
0.0124
Value after
0.0144
Length
4.0 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

Omar Haktab Traorè

FC Heidenheim · Right Back

Style similarity

61.9 / 100

Progressive Pass RatePressure Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Jonas Föhrenbach

FC Heidenheim · Left Back

Style similarity

60.5 / 100

+17.8 pp

Limited sample — interpret this split cautiously.

Long Pass RateProgressive Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Marius Bülter

Hoffenheim · Left Wing 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

#4 · Same position group

Kiliann Sildillia

Freiburg · Right Back

Style similarity

55.1 / 100

Progressive Pass RatePositive Forward Distance Per 100 PassesPressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Franck Honorat

Borussia Mönchengladbach · Right Wing Back

Style similarity

51.1 / 100

Progressive Pass RatePressure Pass RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Leart Paqarada

FC Köln · Left Back

Style similarity

49.8 / 100

Carry Share Of ActionsProgressive Pass RateExpected 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.