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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Nadiem Amiri

Bayer Leverkusen · Left Defensive Midfield · MID

Matches observed8
Pass attempts155
Reliable sample

Actual completion

87.1%

135 completed passes

Pass difficulty

83.6%

How difficult a pass was to complete.

Actual vs. expected passing

+3.5 pp

+5.4 completions vs model expectation

Actual pass completion compared with the model's expected completion.

Player intelligence

Position profile

MID context · Each percentile is an empirical rank among eligible players in the same broad position group. Percentiles are not ratings.

102030405060708090Under-pressure pass rateProgressive pass rateLong-pass rateProgressive carry rateActual vs. expected passingCarrying impact / 100 carries
Style
Performance
0–100 empirical percentiles among eligible same-position peers.

Style

Tendencies describe what a player attempts; higher is not automatically better.

Pass difficulty

83.6%

25th percentile among MID players

n = 13 eligible peers · sample 155

Under-pressure pass rate

23.2%

83rd percentile among MID players

n = 13 eligible peers · sample 155

Progressive pass rate

15.5%

50th percentile among MID players

n = 13 eligible peers · sample 155

Long-pass rate

11.0%

50th percentile among MID players

n = 13 eligible peers · sample 155

Average forward distance

3.5 units

92nd percentile among MID players

n = 13 eligible peers · sample 155

Positive forward distance / 100 passes

691.5 units

92nd percentile among MID players

n = 13 eligible peers · sample 155

Final-third entries / 100 passes

13.548

100th percentile among MID players

n = 13 eligible peers · sample 155

Carry share of actions

48.5%

73rd percentile among MID players

n = 61 eligible peers · sample 291

Progressive carry rate

5.7%

68th percentile among MID players

n = 66 eligible peers · sample 141

Progressive action rate

10.0%

67th percentile among MID players

n = 61 eligible peers · sample 291

Under-pressure action rate

29.6%

75th percentile among MID players

n = 61 eligible peers · sample 291

Shots / observed match

0.50 / match

Unavailable among MID players

n = 5 eligible peers · sample 4

requires 20 shots

xG / shot

5.6%

Unavailable among MID players

n = 5 eligible peers · sample 4

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

+3.5 pp

100th percentile among MID players

n = 13 eligible peers · sample 155

Under-pressure completion above expected

+10.1 pp

100th percentile among MID players

n = 10 eligible peers · sample 36

Progressive completion above expected

+13.4 pp

Unavailable among MID players

n = 9 eligible peers · sample 24

requires 10 eligible position peers

Long-pass completion above expected

+2.1 pp

Unavailable among MID players

n = 9 eligible peers · sample 17

requires 20 long passes

Goals above expected

-0.224

Unavailable among MID players

n = 5 eligible peers · sample 4

requires 20 shots

Overall impact / 100 actions

0.069

82nd percentile among MID players

n = 61 eligible peers · sample 291

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

Passing impact / 100 passes

0.004

79th percentile among MID players

n = 58 eligible peers · sample 150

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

Carrying impact / 100 carries

0.138

66th percentile among MID players

n = 66 eligible peers · sample 141

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

Progressive-action impact / 100 actions

0.106

88th percentile among MID players

n = 61 eligible peers · sample 291

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

Under-pressure impact / 100 actions

0.050

70th percentile among MID players

n = 61 eligible peers · sample 291

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

Playing style

Direct Progressor

Position-relative style among eligible MID players.

Style separation0.117

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty-0.54 z
Under-pressure pass rate+1.15 z
Progressive-pass rate+0.45 z
Long-pass rate-0.27 z
Positive forward distance / 100 passes+0.79 z
Carry share of actions+0.82 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

MID role

How closely a player's playing style matches this role. Compared with the observed role of Leverkusen's other MID contributors.

Role distance · lower is closer1.161
CloserFarther

Strongest alignment

  • Expected Completion Rate
  • Pressure Pass Rate
  • Progressive Pass Rate

Largest difference

Long Pass Rate

higher sampleObserved across 7 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

3 matches observed

Goals

0

Total xG

0.2

Goals above expected

-0.2

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
xG0.22
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

+0.069

Passing impact / 100 passes

+0.004

Carrying impact / 100 carries

+0.138

Progressive-action impact / 100 actions

+0.106

Under-pressure impact / 100 actions

+0.050

291 actions · 150 passes · 141 carries · 47.8% 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

36 attempts

Reliable sample
Actual
88.9%
Pass difficulty
78.8%
Actual vs. expected passing
+10.1 pp

Progressive passing

24 attempts

Reliable sample
Actual
62.5%
Pass difficulty
49.1%
Actual vs. expected passing
+13.4 pp

Long passing

17 attempts

Limited sample
Actual
52.9%
Pass difficulty
50.9%
Actual vs. expected passing
+2.1 pp

Limited sample — interpret this split cautiously.

Progression profile

Progressive-pass rate

15.5%

Pressure-pass rate

23.2%

Average forward distance

3.5 m

Positive forward distance / 100

691.5 m

Final-third entries / 100

13.5

Campos visualization

Pass map

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

Showing 1–155 of 155 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
10.6%
Outcome
Incomplete
Attacking impact
—
Value before
—
Value after
—
Length
25.8 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.

#1 · Same position group

Romano Schmid

Werder Bremen · Left Center Midfield

Style similarity

72.9 / 100

Carry Share Of ActionsExpected Completion RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 8 vs 2 matches

#2 · Same position group

Aïssa Bilal Laïdouni

Union Berlin · Left Defensive Midfield

Style similarity

69.5 / 100

Positive Forward Distance Per 100 Passes
Expected Completion Rate
Long Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 8 vs 2 matches

#3 · Same position group

Florian Wirtz

Bayer Leverkusen · Left Attacking Midfield

Style similarity

67.6 / 100

Carry Share Of ActionsExpected Completion RateProgressive Pass Rate

Sample support: Higher · 8 limiting matches

Observed: 8 vs 32 matches

#4 · Same position group

Leandro Barreiro Martins

FSV Mainz 05 · Right Defensive Midfield

Style similarity

64.4 / 100

Pressure Pass RateExpected Completion RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 8 vs 2 matches

#5 · Same position group

Yannick Gerhardt

Wolfsburg · Right Center Midfield

Style similarity

63.2 / 100

Long Pass RateExpected Completion RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 8 vs 2 matches

#6 · Same position group

Niklas Dorsch

Augsburg · Center Defensive Midfield

Style similarity

61.4 / 100

Positive Forward Distance Per 100 PassesCarry Share Of ActionsPressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 8 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.