FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Iago Amaral Borduchi

Augsburg · Left Back · DEF

Matches observed2
Pass attempts58
Limited sample

Actual completion

79.3%

46 completed passes

Pass difficulty

81.9%

How difficult a pass was to complete.

Actual vs. expected passing

-2.5 pp

-1.5 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

81.9%

Unavailable among DEF players

n = 23 eligible peers · sample 58

requires 100 passes

Under-pressure pass rate

17.2%

Unavailable among DEF players

n = 23 eligible peers · sample 58

requires 100 passes

Progressive pass rate

17.2%

Unavailable among DEF players

n = 23 eligible peers · sample 58

requires 100 passes

Long-pass rate

10.3%

Unavailable among DEF players

n = 23 eligible peers · sample 58

requires 100 passes

Average forward distance

3.7 units

Unavailable among DEF players

n = 23 eligible peers · sample 58

requires 100 passes

Positive forward distance / 100 passes

829.5 units

Unavailable among DEF players

n = 23 eligible peers · sample 58

requires 100 passes

Final-third entries / 100 passes

8.621

Unavailable among DEF players

n = 23 eligible peers · sample 58

requires 100 passes

Carry share of actions

40.9%

20th percentile among DEF players

n = 94 eligible peers · sample 88

Progressive carry rate

2.8%

54th percentile among DEF players

n = 87 eligible peers · sample 36

Progressive action rate

9.1%

46th percentile among DEF players

n = 94 eligible peers · sample 88

Under-pressure action rate

19.3%

70th percentile among DEF players

n = 94 eligible peers · sample 88

Shots / observed match

0.50 / match

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

xG / shot

7.2%

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

-2.5 pp

Unavailable among DEF players

n = 23 eligible peers · sample 58

requires 100 passes

Under-pressure completion above expected

-26.6 pp

Unavailable among DEF players

n = 13 eligible peers · sample 10

requires 20 pressure passes

Progressive completion above expected

-10.3 pp

Unavailable among DEF players

n = 17 eligible peers · sample 10

requires 20 progressive passes

Long-pass completion above expected

-23.2 pp

Unavailable among DEF players

n = 21 eligible peers · sample 6

requires 20 long passes

Goals above expected

-0.072

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

0.017

51st percentile among DEF players

n = 94 eligible peers · sample 88

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

Passing impact / 100 passes

-0.013

62nd percentile among DEF players

n = 94 eligible peers · sample 52

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

Carrying impact / 100 carries

0.062

49th percentile among DEF players

n = 87 eligible peers · sample 36

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

Progressive-action impact / 100 actions

0.080

84th percentile among DEF players

n = 94 eligible peers · sample 88

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

Under-pressure impact / 100 actions

0.012

40th percentile among DEF players

n = 94 eligible peers · sample 88

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

Playing style

Safe Circulator

Position-relative style among eligible DEF players.

Style separation0.082

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty-0.34 z
Under-pressure pass rate+0.90 z
Progressive-pass rate+0.14 z
Long-pass rate-0.84 z
Positive forward distance / 100 passes-0.20 z
Carry share of actions-1.10 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 closer1.029
CloserFarther

Strongest alignment

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

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

0.1

Goals above expected

-0.1

xG / shot

0.1

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
xG0.07
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

+0.017

Passing impact / 100 passes

-0.013

Carrying impact / 100 carries

+0.062

Progressive-action impact / 100 actions

+0.080

Under-pressure impact / 100 actions

+0.012

88 actions · 52 passes · 36 carries · 53.4% 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

10 attempts

Limited sample
Actual
50.0%
Pass difficulty
76.6%
Actual vs. expected passing
-26.6 pp

Limited sample — interpret this split cautiously.

Progressive passing

10 attempts

Limited sample
Actual
50.0%
Pass difficulty
60.3%
Actual vs. expected passing
-10.3 pp

Limited sample — interpret this split cautiously.

Long passing

6 attempts

Limited sample
Actual
50.0%
Pass difficulty
73.2%

Progression profile

Progressive-pass rate

17.2%

Pressure-pass rate

17.2%

Average forward distance

3.7 m

Positive forward distance / 100

829.5 m

Final-third entries / 100

8.6

Campos visualization

Pass map

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

Showing 1–58 of 58 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
99.2%
Outcome
Completed
Attacking impact
0.0028
Value before
0.0033
Value after
0.0062
Length
17.9 m
Context
Under pressure
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

Anthony Caci

FSV Mainz 05 · Left Wing Back

Style similarity

71.5 / 100

Long Pass RatePressure Pass RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Kevin Akpoguma

Hoffenheim · Left Center Back

Style similarity

69.0 / 100

Actual vs. expected passing
-23.2 pp

Limited sample — interpret this split cautiously.

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

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#3 · Same position group

Dominik Kohr

FSV Mainz 05 · Right Center Back

Style similarity

67.7 / 100

Positive Forward Distance Per 100 PassesPressure Pass RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Mads Pedersen

Augsburg · Right Back

Style similarity

67.2 / 100

Progressive Pass RatePressure Pass RateCarry Share Of Actions

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#5 · Same position group

Sepp van den Berg

FSV Mainz 05 · Right Center Back

Style similarity

67.0 / 100

Expected Completion RatePositive Forward Distance Per 100 PassesLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Felix Agu

Werder Bremen · Left Wing Back

Style similarity

66.9 / 100

Carry Share Of ActionsPositive Forward Distance Per 100 PassesPressure 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.