FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Chris Führich

VfB Stuttgart · Left Attacking Midfield · MID

Matches observed2
Pass attempts62
Limited sample

Actual completion

72.6%

45 completed passes

Pass difficulty

75.0%

How difficult a pass was to complete.

Actual vs. expected passing

-2.4 pp

-1.5 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

75.0%

Unavailable among MID players

n = 13 eligible peers · sample 62

requires 100 passes

Under-pressure pass rate

12.9%

Unavailable among MID players

n = 13 eligible peers · sample 62

requires 100 passes

Progressive pass rate

19.4%

Unavailable among MID players

n = 13 eligible peers · sample 62

requires 100 passes

Long-pass rate

11.3%

Unavailable among MID players

n = 13 eligible peers · sample 62

requires 100 passes

Average forward distance

2.2 units

Unavailable among MID players

n = 13 eligible peers · sample 62

requires 100 passes

Positive forward distance / 100 passes

589.2 units

Unavailable among MID players

n = 13 eligible peers · sample 62

requires 100 passes

Final-third entries / 100 passes

3.226

Unavailable among MID players

n = 13 eligible peers · sample 62

requires 100 passes

Carry share of actions

51.8%

90th percentile among MID players

n = 61 eligible peers · sample 110

Progressive carry rate

17.5%

98th percentile among MID players

n = 66 eligible peers · sample 57

Progressive action rate

17.3%

92nd percentile among MID players

n = 61 eligible peers · sample 110

Under-pressure action rate

20.9%

38th percentile among MID players

n = 61 eligible peers · sample 110

Shots / observed match

3.00 / match

Unavailable among MID players

n = 5 eligible peers · sample 6

requires 20 shots

xG / shot

13.0%

Unavailable among MID players

n = 5 eligible peers · sample 6

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

-2.4 pp

Unavailable among MID players

n = 13 eligible peers · sample 62

requires 100 passes

Under-pressure completion above expected

-8.8 pp

Unavailable among MID players

n = 10 eligible peers · sample 8

requires 20 pressure passes

Progressive completion above expected

-3.9 pp

Unavailable among MID players

n = 9 eligible peers · sample 12

requires 20 progressive passes

Long-pass completion above expected

-2.9 pp

Unavailable among MID players

n = 9 eligible peers · sample 7

requires 20 long passes

Goals above expected

1.222

Unavailable among MID players

n = 5 eligible peers · sample 6

requires 20 shots

Overall impact / 100 actions

0.316

98th percentile among MID players

n = 61 eligible peers · sample 110

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

Passing impact / 100 passes

0.260

100th percentile among MID players

n = 58 eligible peers · sample 53

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

Carrying impact / 100 carries

0.368

98th percentile among MID players

n = 66 eligible peers · sample 57

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

Progressive-action impact / 100 actions

0.278

98th percentile among MID players

n = 61 eligible peers · sample 110

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

Under-pressure impact / 100 actions

0.067

85th percentile among MID players

n = 61 eligible peers · sample 110

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

Playing style

Direct Progressor

Position-relative style among eligible MID players.

Style separation0.205

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty-2.43 z
Under-pressure pass rate-0.65 z
Progressive-pass rate+1.05 z
Long-pass rate-0.21 z
Positive forward distance / 100 passes-0.02 z
Carry share of actions+1.76 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 closer1.423
CloserFarther

Strongest alignment

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

Largest difference

Expected Completion 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.

Expected Goals

Non-penalty shooting

Goals above expected is descriptive for this observed sample, not a definitive finishing-skill rating.

Limited sample

Shots

6

2 matches observed

Goals

2

Total xG

0.8

Goals above expected

+1.2

xG / shot

0.1

33.3% 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.

Shots6
Goals2
xG0.78
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

+0.316

Passing impact / 100 passes

+0.260

Carrying impact / 100 carries

+0.368

Progressive-action impact / 100 actions

+0.278

Under-pressure impact / 100 actions

+0.067

110 actions · 53 passes · 57 carries · 54.5% 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
75.0%
Pass difficulty
83.8%
Actual vs. expected passing
-8.8 pp

Limited sample — interpret this split cautiously.

Progressive passing

12 attempts

Limited sample
Actual
41.7%
Pass difficulty
45.6%
Actual vs. expected passing
-3.9 pp

Limited sample — interpret this split cautiously.

Long passing

7 attempts

Limited sample
Actual
42.9%
Pass difficulty
45.8%

Progression profile

Progressive-pass rate

19.4%

Pressure-pass rate

12.9%

Average forward distance

2.2 m

Positive forward distance / 100

589.2 m

Final-third entries / 100

3.2

Campos visualization

Pass map

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

Showing 1–62 of 62 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
99.3%
Outcome
Completed
Attacking impact
-0.0036
Value before
0.0097
Value after
0.0061
Length
16.5 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

Daniel Olmo Carvajal

RB Leipzig · Left Attacking Midfield

Style similarity

59.5 / 100

Carry Share Of ActionsExpected Completion RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Arne Maier

Augsburg · Right Center Midfield

Style similarity

58.5 / 100

Actual vs. expected passing
-2.9 pp

Limited sample — interpret this split cautiously.

Positive Forward Distance Per 100 PassesPressure Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Yannick Gerhardt

Wolfsburg · Right Center Midfield

Style similarity

58.3 / 100

Long Pass RatePressure Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Florian Wirtz

Bayer Leverkusen · Left Attacking Midfield

Style similarity

56.1 / 100

Progressive Pass RatePositive Forward Distance Per 100 PassesLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 32 matches

#5 · Same position group

Florian Neuhaus

Borussia Mönchengladbach · Left Defensive Midfield

Style similarity

53.4 / 100

Positive Forward Distance Per 100 PassesLong Pass RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Amine Adli

Bayer Leverkusen · Left Attacking Midfield

Style similarity

52.6 / 100

Progressive Pass RatePressure Pass RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 23 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.