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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Marvin Friedrich

Borussia Mönchengladbach · Center Back · DEF

Matches observed2
Pass attempts80
Limited sample

Actual completion

90.0%

72 completed passes

Pass difficulty

88.4%

How difficult a pass was to complete.

Actual vs. expected passing

+1.6 pp

+1.3 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

88.4%

Unavailable among DEF players

n = 23 eligible peers · sample 80

requires 100 passes

Under-pressure pass rate

2.5%

Unavailable among DEF players

n = 23 eligible peers · sample 80

requires 100 passes

Progressive pass rate

7.5%

Unavailable among DEF players

n = 23 eligible peers · sample 80

requires 100 passes

Long-pass rate

10.0%

Unavailable among DEF players

n = 23 eligible peers · sample 80

requires 100 passes

Average forward distance

4.6 units

Unavailable among DEF players

n = 23 eligible peers · sample 80

requires 100 passes

Positive forward distance / 100 passes

820.9 units

Unavailable among DEF players

n = 23 eligible peers · sample 80

requires 100 passes

Final-third entries / 100 passes

8.750

Unavailable among DEF players

n = 23 eligible peers · sample 80

requires 100 passes

Carry share of actions

43.8%

53rd percentile among DEF players

n = 94 eligible peers · sample 130

Progressive carry rate

0.0%

16th percentile among DEF players

n = 87 eligible peers · sample 57

Progressive action rate

3.1%

4th percentile among DEF players

n = 94 eligible peers · sample 130

Under-pressure action rate

6.9%

11th percentile among DEF players

n = 94 eligible peers · sample 130

Shots / observed match

2.00 / match

Unavailable among DEF players

n = 4 eligible peers · sample 4

requires 20 shots

xG / shot

6.4%

Unavailable among DEF players

n = 4 eligible peers · sample 4

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

+1.6 pp

Unavailable among DEF players

n = 23 eligible peers · sample 80

requires 100 passes

Under-pressure completion above expected

+0.4 pp

Unavailable among DEF players

n = 13 eligible peers · sample 2

requires 20 pressure passes

Progressive completion above expected

-32.5 pp

Unavailable among DEF players

n = 17 eligible peers · sample 6

requires 20 progressive passes

Long-pass completion above expected

-18.7 pp

Unavailable among DEF players

n = 21 eligible peers · sample 8

requires 20 long passes

Goals above expected

-0.255

Unavailable among DEF players

n = 4 eligible peers · sample 4

requires 20 shots

Overall impact / 100 actions

0.003

39th percentile among DEF players

n = 94 eligible peers · sample 130

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

Passing impact / 100 passes

-0.051

45th percentile among DEF players

n = 94 eligible peers · sample 73

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

Carrying impact / 100 carries

0.073

62nd percentile among DEF players

n = 87 eligible peers · sample 57

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

Progressive-action impact / 100 actions

-0.028

24th percentile among DEF players

n = 94 eligible peers · sample 130

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

Under-pressure impact / 100 actions

0.027

65th percentile among DEF players

n = 94 eligible peers · sample 130

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

Playing style

Safe Circulator

Position-relative style among eligible DEF players.

Style separation0.388

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+0.79 z
Under-pressure pass rate-1.77 z
Progressive-pass rate-1.20 z
Long-pass rate-0.89 z
Positive forward distance / 100 passes-0.24 z
Carry share of actions-0.04 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 closer0.840
CloserFarther

Strongest alignment

  • Long Pass Rate
  • Expected Completion Rate
  • Progressive Pass Rate

Largest difference

Pressure 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

4

1 matches observed

Goals

0

Total xG

0.3

Goals above expected

-0.3

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.

Shots4
Goals0
xG0.26
xG0.00 – 1.00
Foot
Header
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

+0.003

Passing impact / 100 passes

-0.051

Carrying impact / 100 carries

+0.073

Progressive-action impact / 100 actions

-0.028

Under-pressure impact / 100 actions

+0.027

130 actions · 73 passes · 57 carries · 54.6% 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

2 attempts

Limited sample
Actual
100.0%
Pass difficulty
99.6%
Actual vs. expected passing
+0.4 pp

Limited sample — interpret this split cautiously.

Progressive passing

6 attempts

Limited sample
Actual
0.0%
Pass difficulty
32.5%
Actual vs. expected passing
-32.5 pp

Limited sample — interpret this split cautiously.

Long passing

8 attempts

Limited sample
Actual
37.5%
Pass difficulty
56.2%

Progression profile

Progressive-pass rate

7.5%

Pressure-pass rate

2.5%

Average forward distance

4.6 m

Positive forward distance / 100

820.9 m

Final-third entries / 100

8.8

Campos visualization

Pass map

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

Showing 1–80 of 80 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
92.2%
Outcome
Completed
Attacking impact
-0.0002
Value before
0.0053
Value after
0.0050
Length
20.7 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

Willi Orban

RB Leipzig · Left Center Back

Style similarity

84.6 / 100

Pressure Pass RatePositive Forward Distance Per 100 PassesLong Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#2 · Same position group

Min Jae Kim

Bayern Munich · Left Center Back

Style similarity

74.5 / 100

Actual vs. expected passing
-18.7 pp

Limited sample — interpret this split cautiously.

Carry Share Of ActionsProgressive Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Piero Martín Hincapié Reyna

Bayer Leverkusen · Left Center Back

Style similarity

71.0 / 100

Progressive Pass RateLong Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 25 matches

#4 · Same position group

Mohamed Simakan

RB Leipzig · Right Center Back

Style similarity

69.1 / 100

Positive Forward Distance Per 100 PassesExpected Completion RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Waldemar Anton

VfB Stuttgart · Right Center Back

Style similarity

68.5 / 100

Pressure Pass RateExpected Completion RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Junior Castello Lukeba

RB Leipzig · Left Center Back

Style similarity

68.0 / 100

Long Pass RateExpected Completion RatePressure 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.