FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Maxence Lacroix

Wolfsburg · Left Center Back · DEF

Matches observed2
Pass attempts95
Limited sample

Actual completion

82.1%

78 completed passes

Pass difficulty

88.6%

How difficult a pass was to complete.

Actual vs. expected passing

-6.4 pp

-6.1 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

88.6%

Unavailable among DEF players

n = 23 eligible peers · sample 95

requires 100 passes

Under-pressure pass rate

9.5%

Unavailable among DEF players

n = 23 eligible peers · sample 95

requires 100 passes

Progressive pass rate

11.6%

Unavailable among DEF players

n = 23 eligible peers · sample 95

requires 100 passes

Long-pass rate

18.9%

Unavailable among DEF players

n = 23 eligible peers · sample 95

requires 100 passes

Average forward distance

6.7 units

Unavailable among DEF players

n = 23 eligible peers · sample 95

requires 100 passes

Positive forward distance / 100 passes

976.1 units

Unavailable among DEF players

n = 23 eligible peers · sample 95

requires 100 passes

Final-third entries / 100 passes

10.526

Unavailable among DEF players

n = 23 eligible peers · sample 95

requires 100 passes

Carry share of actions

42.9%

29th percentile among DEF players

n = 94 eligible peers · sample 156

Progressive carry rate

0.0%

16th percentile among DEF players

n = 87 eligible peers · sample 67

Progressive action rate

7.1%

33rd percentile among DEF players

n = 94 eligible peers · sample 156

Under-pressure action rate

10.3%

18th percentile among DEF players

n = 94 eligible peers · sample 156

Shots / observed match

0.50 / match

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

xG / shot

19.6%

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

-6.4 pp

Unavailable among DEF players

n = 23 eligible peers · sample 95

requires 100 passes

Under-pressure completion above expected

-21.7 pp

Unavailable among DEF players

n = 13 eligible peers · sample 9

requires 20 pressure passes

Progressive completion above expected

-27.5 pp

Unavailable among DEF players

n = 17 eligible peers · sample 11

requires 20 progressive passes

Long-pass completion above expected

-11.9 pp

Unavailable among DEF players

n = 21 eligible peers · sample 18

requires 20 long passes

Goals above expected

0.804

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

-0.030

18th percentile among DEF players

n = 94 eligible peers · sample 156

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

Passing impact / 100 passes

-0.096

27th percentile among DEF players

n = 94 eligible peers · sample 89

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

Carrying impact / 100 carries

0.058

45th percentile among DEF players

n = 87 eligible peers · sample 67

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

Progressive-action impact / 100 actions

-0.041

14th percentile among DEF players

n = 94 eligible peers · sample 156

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

Under-pressure impact / 100 actions

0.017

51st percentile among DEF players

n = 94 eligible peers · sample 156

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

Playing style

Safe Circulator

Position-relative style among eligible DEF players.

Style separation0.192

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+0.81 z
Under-pressure pass rate-0.51 z
Progressive-pass rate-0.64 z
Long-pass rate+0.46 z
Positive forward distance / 100 passes+0.40 z
Carry share of actions-0.36 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 closer0.891
CloserFarther

Strongest alignment

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

Largest difference

Long Pass Rate

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

1

Total xG

0.2

Goals above expected

+0.8

xG / shot

0.2

100.0% 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
Goals1
xG0.20
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

-0.030

Passing impact / 100 passes

-0.096

Carrying impact / 100 carries

+0.058

Progressive-action impact / 100 actions

-0.041

Under-pressure impact / 100 actions

+0.017

156 actions · 89 passes · 67 carries · 53.2% 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
55.6%
Pass difficulty
77.3%
Actual vs. expected passing
-21.7 pp

Limited sample — interpret this split cautiously.

Progressive passing

11 attempts

Limited sample
Actual
36.4%
Pass difficulty
63.8%
Actual vs. expected passing
-27.5 pp

Limited sample — interpret this split cautiously.

Long passing

18 attempts

Limited sample
Actual
72.2%
Pass difficulty
84.1%

Progression profile

Progressive-pass rate

11.6%

Pressure-pass rate

9.5%

Average forward distance

6.7 m

Positive forward distance / 100

976.1 m

Final-third entries / 100

10.5

Campos visualization

Pass map

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

Showing 1–95 of 95 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
74.5%
Outcome
Completed
Attacking impact
0.0000
Value before
0.0060
Value after
0.0060
Length
8.9 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

Timo Hübers

FC Köln · Right Center Back

Style similarity

81.0 / 100

Progressive Pass RateLong Pass RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Ozan Muhammed Kabak

Hoffenheim · Right Center Back

Style similarity

78.9 / 100

Actual vs. expected passing
-11.9 pp

Limited sample — interpret this split cautiously.

Progressive Pass RatePositive Forward Distance Per 100 PassesCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Patrick Mainka

FC Heidenheim · Right Center Back

Style similarity

77.7 / 100

Long Pass RateCarry Share Of ActionsPressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Mohamed Simakan

RB Leipzig · Right Center Back

Style similarity

77.6 / 100

Progressive Pass RateLong Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Diogo Filipe Monteiro Pinto Leite

Union Berlin · Left Center Back

Style similarity

77.4 / 100

Positive Forward Distance Per 100 PassesCarry Share Of ActionsLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Moritz Jenz

Wolfsburg · Center Back

Style similarity

75.8 / 100

Progressive Pass RateCarry Share Of ActionsExpected 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.