FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Noussair Mazraoui

Bayern Munich · Right Wing Back · DEF

Matches observed2
Pass attempts80
Limited sample

Actual completion

85.0%

68 completed passes

Pass difficulty

85.2%

How difficult a pass was to complete.

Actual vs. expected passing

-0.2 pp

-0.2 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

85.2%

Unavailable among DEF players

n = 23 eligible peers · sample 80

requires 100 passes

Under-pressure pass rate

11.3%

Unavailable among DEF players

n = 23 eligible peers · sample 80

requires 100 passes

Progressive pass rate

13.8%

Unavailable among DEF players

n = 23 eligible peers · sample 80

requires 100 passes

Long-pass rate

5.0%

Unavailable among DEF players

n = 23 eligible peers · sample 80

requires 100 passes

Average forward distance

-1.0 units

Unavailable among DEF players

n = 23 eligible peers · sample 80

requires 100 passes

Positive forward distance / 100 passes

441.3 units

Unavailable among DEF players

n = 23 eligible peers · sample 80

requires 100 passes

Final-third entries / 100 passes

7.500

Unavailable among DEF players

n = 23 eligible peers · sample 80

requires 100 passes

Carry share of actions

46.2%

81st percentile among DEF players

n = 94 eligible peers · sample 143

Progressive carry rate

7.6%

88th percentile among DEF players

n = 87 eligible peers · sample 66

Progressive action rate

11.2%

62nd percentile among DEF players

n = 94 eligible peers · sample 143

Under-pressure action rate

16.8%

54th percentile among DEF players

n = 94 eligible peers · sample 143

Shots / observed match

0.50 / match

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

xG / shot

3.3%

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

-0.2 pp

Unavailable among DEF players

n = 23 eligible peers · sample 80

requires 100 passes

Under-pressure completion above expected

+3.3 pp

Unavailable among DEF players

n = 13 eligible peers · sample 9

requires 20 pressure passes

Progressive completion above expected

+2.3 pp

Unavailable among DEF players

n = 17 eligible peers · sample 11

requires 20 progressive passes

Long-pass completion above expected

+23.8 pp

Unavailable among DEF players

n = 21 eligible peers · sample 4

requires 20 long passes

Goals above expected

-0.033

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

0.071

87th percentile among DEF players

n = 94 eligible peers · sample 143

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

Passing impact / 100 passes

0.023

74th percentile among DEF players

n = 94 eligible peers · sample 77

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

Carrying impact / 100 carries

0.127

81st percentile among DEF players

n = 87 eligible peers · sample 66

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

Progressive-action impact / 100 actions

0.111

88th percentile among DEF players

n = 94 eligible peers · sample 143

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

Under-pressure impact / 100 actions

0.018

52nd percentile among DEF players

n = 94 eligible peers · sample 143

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

Playing style

Safe Circulator

Position-relative style among eligible DEF players.

Style separation0.533

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+0.24 z
Under-pressure pass rate-0.19 z
Progressive-pass rate-0.34 z
Long-pass rate-1.64 z
Positive forward distance / 100 passes-1.80 z
Carry share of actions+0.79 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 closer0.538
CloserFarther

Strongest alignment

  • Carry Share Of Actions
  • Pressure Pass Rate
  • Progressive Pass Rate

Largest difference

Positive Forward Distance Per 100 Passes

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
xG0.03
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

+0.071

Passing impact / 100 passes

+0.023

Carrying impact / 100 carries

+0.127

Progressive-action impact / 100 actions

+0.111

Under-pressure impact / 100 actions

+0.018

143 actions · 77 passes · 66 carries · 49.0% 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
66.7%
Pass difficulty
63.4%
Actual vs. expected passing
+3.3 pp

Limited sample — interpret this split cautiously.

Progressive passing

11 attempts

Limited sample
Actual
45.5%
Pass difficulty
43.1%
Actual vs. expected passing
+2.3 pp

Limited sample — interpret this split cautiously.

Long passing

4 attempts

Limited sample
Actual
50.0%
Pass difficulty
26.2%

Progression profile

Progressive-pass rate

13.8%

Pressure-pass rate

11.3%

Average forward distance

-1.0 m

Positive forward distance / 100

441.3 m

Final-third entries / 100

7.5

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
99.3%
Outcome
Completed
Attacking impact
-0.0024
Value before
0.0127
Value after
0.0103
Length
14.0 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

Aurélio Gabriel Ulineia Buta

Eintracht Frankfurt · Right Wing Back

Style similarity

81.9 / 100

Expected Completion RateCarry Share Of ActionsProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Alphonso Davies

Bayern Munich · Left Back

Style similarity

76.1 / 100

Actual vs. expected passing
+23.8 pp

Limited sample — interpret this split cautiously.

Long Pass RatePositive Forward Distance Per 100 PassesProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#3 · Same position group

Arthur Augusto de Matos Soares

Bayer Leverkusen · Left Wing Back

Style similarity

73.1 / 100

Expected Completion RatePositive Forward Distance Per 100 PassesPressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 4 matches

#4 · Same position group

Josip Stanišić

Bayer Leverkusen · Right Center Back

Style similarity

71.6 / 100

Carry Share Of ActionsPressure Pass RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 20 matches

#5 · Same position group

Alejandro Grimaldo García

Bayer Leverkusen · Left Wing Back

Style similarity

70.2 / 100

Positive Forward Distance Per 100 PassesPressure Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 33 matches

#6 · Same position group

Julian Ryerson

Borussia Dortmund · Left Back

Style similarity

69.1 / 100

Carry Share Of ActionsPressure 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.