FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Anthony Caci

FSV Mainz 05 · Left Wing Back · DEF

Matches observed2
Pass attempts85
Limited sample

Actual completion

74.1%

63 completed passes

Pass difficulty

77.2%

How difficult a pass was to complete.

Actual vs. expected passing

-3.1 pp

-2.6 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

77.2%

Unavailable among DEF players

n = 23 eligible peers · sample 85

requires 100 passes

Under-pressure pass rate

16.5%

Unavailable among DEF players

n = 23 eligible peers · sample 85

requires 100 passes

Progressive pass rate

25.9%

Unavailable among DEF players

n = 23 eligible peers · sample 85

requires 100 passes

Long-pass rate

10.6%

Unavailable among DEF players

n = 23 eligible peers · sample 85

requires 100 passes

Average forward distance

6.1 units

Unavailable among DEF players

n = 23 eligible peers · sample 85

requires 100 passes

Positive forward distance / 100 passes

941.2 units

Unavailable among DEF players

n = 23 eligible peers · sample 85

requires 100 passes

Final-third entries / 100 passes

12.941

Unavailable among DEF players

n = 23 eligible peers · sample 85

requires 100 passes

Carry share of actions

40.5%

16th percentile among DEF players

n = 94 eligible peers · sample 131

Progressive carry rate

0.0%

16th percentile among DEF players

n = 87 eligible peers · sample 53

Progressive action rate

14.5%

80th percentile among DEF players

n = 94 eligible peers · sample 131

Under-pressure action rate

21.4%

78th percentile among DEF players

n = 94 eligible peers · sample 131

Shots / observed match

0.50 / match

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

xG / shot

3.4%

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

-3.1 pp

Unavailable among DEF players

n = 23 eligible peers · sample 85

requires 100 passes

Under-pressure completion above expected

-0.9 pp

Unavailable among DEF players

n = 13 eligible peers · sample 14

requires 20 pressure passes

Progressive completion above expected

-6.3 pp

0th percentile among DEF players

n = 17 eligible peers · sample 22

Long-pass completion above expected

+6.0 pp

Unavailable among DEF players

n = 21 eligible peers · sample 9

requires 20 long passes

Goals above expected

-0.034

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

-0.041

14th percentile among DEF players

n = 94 eligible peers · sample 131

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

Passing impact / 100 passes

-0.114

23rd percentile among DEF players

n = 94 eligible peers · sample 78

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

Carrying impact / 100 carries

0.065

56th percentile among DEF players

n = 87 eligible peers · sample 53

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

Progressive-action impact / 100 actions

-0.054

9th percentile among DEF players

n = 94 eligible peers · sample 131

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

Under-pressure impact / 100 actions

0.014

46th percentile among DEF players

n = 94 eligible peers · sample 131

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

Playing style

Direct Progressor

Position-relative style among eligible DEF players.

Style separation0.353

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty-1.14 z
Under-pressure pass rate+0.76 z
Progressive-pass rate+1.33 z
Long-pass rate-0.80 z
Positive forward distance / 100 passes+0.26 z
Carry share of actions-1.26 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 closer1.464
CloserFarther

Strongest alignment

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

Largest difference

Carry Share Of Actions

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

0

Total xG

0.0

Goals above expected

-0.0

xG / shot

0.0

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.

Shots1
Goals0
xG0.03
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

-0.041

Passing impact / 100 passes

-0.114

Carrying impact / 100 carries

+0.065

Progressive-action impact / 100 actions

-0.054

Under-pressure impact / 100 actions

+0.014

131 actions · 78 passes · 53 carries · 55.7% 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

14 attempts

Limited sample
Actual
71.4%
Pass difficulty
72.4%
Actual vs. expected passing
-0.9 pp

Limited sample — interpret this split cautiously.

Progressive passing

22 attempts

Reliable sample
Actual
45.5%
Pass difficulty
51.7%
Actual vs. expected passing
-6.3 pp

Long passing

9 attempts

Limited sample
Actual
55.6%
Pass difficulty
49.5%
Actual vs. expected passing

Progression profile

Progressive-pass rate

25.9%

Pressure-pass rate

16.5%

Average forward distance

6.1 m

Positive forward distance / 100

941.2 m

Final-third entries / 100

12.9

Campos visualization

Pass map

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

Showing 1–85 of 85 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
98.8%
Outcome
Completed
Attacking impact
-0.0002
Value before
0.0062
Value after
0.0060
Length
10.0 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

Felix Agu

Werder Bremen · Left Wing Back

Style similarity

71.8 / 100

Carry Share Of ActionsProgressive Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Iago Amaral Borduchi

Augsburg · Left Back

Style similarity

71.5 / 100

+6.0 pp

Limited sample — interpret this split cautiously.

Long Pass RatePressure Pass RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Omar Haktab Traorè

FC Heidenheim · Right Back

Style similarity

65.8 / 100

Carry Share Of ActionsPositive Forward Distance Per 100 PassesExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Rasmus Carstensen

FC Köln · Right Back

Style similarity

65.8 / 100

Positive Forward Distance Per 100 PassesExpected Completion RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Leart Paqarada

FC Köln · Left Back

Style similarity

63.9 / 100

Positive Forward Distance Per 100 PassesPressure Pass RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Ridle Bote Baku

Wolfsburg · Right Wing Back

Style similarity

62.8 / 100

Progressive Pass RateExpected Completion RateLong Pass 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.