FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Arne Maier

Augsburg · Right Center Midfield · MID

Matches observed2
Pass attempts54
Limited sample

Actual completion

72.2%

39 completed passes

Pass difficulty

78.9%

How difficult a pass was to complete.

Actual vs. expected passing

-6.7 pp

-3.6 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.

Insufficient eligible position metrics for a meaningful radar.

Style

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

Pass difficulty

78.9%

Unavailable among MID players

n = 13 eligible peers · sample 54

requires 100 passes

Under-pressure pass rate

14.8%

Unavailable among MID players

n = 13 eligible peers · sample 54

requires 100 passes

Progressive pass rate

27.8%

Unavailable among MID players

n = 13 eligible peers · sample 54

requires 100 passes

Long-pass rate

18.5%

Unavailable among MID players

n = 13 eligible peers · sample 54

requires 100 passes

Average forward distance

1.1 units

Unavailable among MID players

n = 13 eligible peers · sample 54

requires 100 passes

Positive forward distance / 100 passes

591.3 units

Unavailable among MID players

n = 13 eligible peers · sample 54

requires 100 passes

Final-third entries / 100 passes

7.407

Unavailable among MID players

n = 13 eligible peers · sample 54

requires 100 passes

Carry share of actions

47.3%

65th percentile among MID players

n = 61 eligible peers · sample 93

Progressive carry rate

4.5%

62nd percentile among MID players

n = 66 eligible peers · sample 44

Progressive action rate

15.1%

85th percentile among MID players

n = 61 eligible peers · sample 93

Under-pressure action rate

21.5%

45th percentile among MID players

n = 61 eligible peers · sample 93

Shots / observed match

0.00 / match

Unavailable among MID players

n = 5 eligible peers · sample 0

requires 20 shots

xG / shot

—

Unavailable among MID players

n = 5 eligible peers · sample 0

metric unavailable

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

-6.7 pp

Unavailable among MID players

n = 13 eligible peers · sample 54

requires 100 passes

Under-pressure completion above expected

-6.1 pp

Unavailable among MID players

n = 10 eligible peers · sample 8

requires 20 pressure passes

Progressive completion above expected

-17.6 pp

Unavailable among MID players

n = 9 eligible peers · sample 15

requires 20 progressive passes

Long-pass completion above expected

-19.8 pp

Unavailable among MID players

n = 9 eligible peers · sample 10

requires 20 long passes

Goals above expected

0.000

Unavailable among MID players

n = 5 eligible peers · sample 0

requires 20 shots

Overall impact / 100 actions

-0.115

7th percentile among MID players

n = 61 eligible peers · sample 93

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

Passing impact / 100 passes

-0.294

5th percentile among MID players

n = 58 eligible peers · sample 49

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

Carrying impact / 100 carries

0.083

48th percentile among MID players

n = 66 eligible peers · sample 44

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

Progressive-action impact / 100 actions

-0.073

3rd percentile among MID players

n = 61 eligible peers · sample 93

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

Under-pressure impact / 100 actions

-0.061

2nd percentile among MID players

n = 61 eligible peers · sample 93

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

Playing style

Direct Progressor

Position-relative style among eligible MID players.

Style separation0.461

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty-1.58 z
Under-pressure pass rate-0.32 z
Progressive-pass rate+2.34 z
Long-pass rate+1.14 z
Positive forward distance / 100 passes-0.01 z
Carry share of actions+0.49 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 Bayer Leverkusen's observed MID role.

Role distance · lower is closer1.430
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 · 10 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.

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

-0.115

Passing impact / 100 passes

-0.294

Carrying impact / 100 carries

+0.083

Progressive-action impact / 100 actions

-0.073

Under-pressure impact / 100 actions

-0.061

93 actions · 49 passes · 44 carries · 50.5% 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

8 attempts

Limited sample
Actual
62.5%
Pass difficulty
68.6%
Actual vs. expected passing
-6.1 pp

Limited sample — interpret this split cautiously.

Progressive passing

15 attempts

Limited sample
Actual
33.3%
Pass difficulty
50.9%
Actual vs. expected passing
-17.6 pp

Limited sample — interpret this split cautiously.

Long passing

10 attempts

Limited sample
Actual
30.0%
Pass difficulty
49.8%

Progression profile

Progressive-pass rate

27.8%

Pressure-pass rate

14.8%

Average forward distance

1.1 m

Positive forward distance / 100

591.3 m

Final-third entries / 100

7.4

Campos visualization

Pass map

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

Showing 1–54 of 54 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
50.8%
Outcome
Incomplete
Attacking impact
—
Value before
—
Value after
—
Length
16.0 m
Context
Progressive
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

Kevin Stöger

Bochum · Left Center Midfield

Style similarity

64.1 / 100

Long Pass RateCarry Share Of ActionsProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#2 · Same position group

Daniel Olmo Carvajal

RB Leipzig · Left Attacking Midfield

Style similarity

60.1 / 100

Actual vs. expected passing
-19.8 pp

Limited sample — interpret this split cautiously.

Progressive Pass RateExpected Completion RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Chris Führich

VfB Stuttgart · Left Attacking Midfield

Style similarity

58.5 / 100

Positive Forward Distance Per 100 PassesPressure Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Jonas Hofmann

Bayer Leverkusen · Right Attacking Midfield

Style similarity

57.2 / 100

Pressure Pass RateLong Pass RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 32 matches

#5 · Same position group

Yannick Gerhardt

Wolfsburg · Right Center Midfield

Style similarity

54.8 / 100

Pressure Pass RateCarry Share Of ActionsPositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Florian Wirtz

Bayer Leverkusen · Left Attacking Midfield

Style similarity

52.1 / 100

Carry Share Of ActionsPositive Forward Distance Per 100 PassesPressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 32 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.