FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Enzo Millot

VfB Stuttgart · Left Defensive Midfield · MID

Matches observed2
Pass attempts98
Limited sample

Actual completion

90.8%

89 completed passes

Pass difficulty

89.6%

How difficult a pass was to complete.

Actual vs. expected passing

+1.2 pp

+1.2 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

89.6%

Unavailable among MID players

n = 13 eligible peers · sample 98

requires 100 passes

Under-pressure pass rate

12.2%

Unavailable among MID players

n = 13 eligible peers · sample 98

requires 100 passes

Progressive pass rate

6.1%

Unavailable among MID players

n = 13 eligible peers · sample 98

requires 100 passes

Long-pass rate

10.2%

Unavailable among MID players

n = 13 eligible peers · sample 98

requires 100 passes

Average forward distance

-1.3 units

Unavailable among MID players

n = 13 eligible peers · sample 98

requires 100 passes

Positive forward distance / 100 passes

434.1 units

Unavailable among MID players

n = 13 eligible peers · sample 98

requires 100 passes

Final-third entries / 100 passes

7.143

Unavailable among MID players

n = 13 eligible peers · sample 98

requires 100 passes

Carry share of actions

48.1%

70th percentile among MID players

n = 61 eligible peers · sample 181

Progressive carry rate

0.0%

12th percentile among MID players

n = 66 eligible peers · sample 87

Progressive action rate

3.3%

15th percentile among MID players

n = 61 eligible peers · sample 181

Under-pressure action rate

18.8%

27th percentile among MID players

n = 61 eligible peers · sample 181

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

+1.2 pp

Unavailable among MID players

n = 13 eligible peers · sample 98

requires 100 passes

Under-pressure completion above expected

-0.2 pp

Unavailable among MID players

n = 10 eligible peers · sample 12

requires 20 pressure passes

Progressive completion above expected

-3.9 pp

Unavailable among MID players

n = 9 eligible peers · sample 6

requires 20 progressive passes

Long-pass completion above expected

-0.2 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

0.001

55th percentile among MID players

n = 61 eligible peers · sample 181

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

Passing impact / 100 passes

-0.012

70th percentile among MID players

n = 58 eligible peers · sample 94

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

Carrying impact / 100 carries

0.014

2nd percentile among MID players

n = 66 eligible peers · sample 87

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

Progressive-action impact / 100 actions

0.000

37th percentile among MID players

n = 61 eligible peers · sample 181

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

Under-pressure impact / 100 actions

0.008

18th percentile among MID players

n = 61 eligible peers · sample 181

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

Playing style

Safe Circulator

Position-relative style among eligible MID players.

Style separation0.626

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+0.77 z
Under-pressure pass rate-0.76 z
Progressive-pass rate-0.99 z
Long-pass rate-0.41 z
Positive forward distance / 100 passes-1.26 z
Carry share of actions+0.71 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 closer0.664
CloserFarther

Strongest alignment

  • Long Pass Rate
  • Expected Completion Rate
  • Carry Share Of Actions

Largest difference

Positive Forward Distance Per 100 Passes

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

+0.001

Passing impact / 100 passes

-0.012

Carrying impact / 100 carries

+0.014

Progressive-action impact / 100 actions

+0.000

Under-pressure impact / 100 actions

+0.008

181 actions · 94 passes · 87 carries · 41.4% 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

12 attempts

Limited sample
Actual
75.0%
Pass difficulty
75.2%
Actual vs. expected passing
-0.2 pp

Limited sample — interpret this split cautiously.

Progressive passing

6 attempts

Limited sample
Actual
33.3%
Pass difficulty
37.2%
Actual vs. expected passing
-3.9 pp

Limited sample — interpret this split cautiously.

Long passing

10 attempts

Limited sample
Actual
70.0%
Pass difficulty
70.2%

Progression profile

Progressive-pass rate

6.1%

Pressure-pass rate

12.2%

Average forward distance

-1.3 m

Positive forward distance / 100

434.1 m

Final-third entries / 100

7.1

Campos visualization

Pass map

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

Showing 1–98 of 98 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
97.5%
Outcome
Completed
Attacking impact
-0.0009
Value before
0.0122
Value after
0.0113
Length
11.6 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

Exequiel Alejandro Palacios

Bayer Leverkusen · Left Defensive Midfield

Style similarity

75.4 / 100

Expected Completion RatePressure Pass RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 24 matches

#2 · Same position group

Nicolas Seiwald

RB Leipzig · Right Defensive Midfield

Style similarity

73.2 / 100

Actual vs. expected passing
-0.2 pp

Limited sample — interpret this split cautiously.

Pressure Pass RateCarry Share Of ActionsLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Atakan Karazor

VfB Stuttgart · Right Defensive Midfield

Style similarity

71.9 / 100

Progressive Pass RatePressure Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Leon Goretzka

Bayern Munich · Left Defensive Midfield

Style similarity

70.4 / 100

Progressive Pass RateExpected Completion RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Bartol Franjić

Darmstadt 98 · Right Defensive Midfield

Style similarity

69.5 / 100

Progressive Pass RateExpected Completion RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Aleksandar Pavlović

Bayern Munich · Right Defensive Midfield

Style similarity

69.3 / 100

Progressive Pass RateCarry Share Of ActionsExpected Completion Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 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.