FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Diogo Filipe Monteiro Pinto Leite

Union Berlin · Left Center Back · DEF

Matches observed2
Pass attempts89
Limited sample

Actual completion

84.3%

75 completed passes

Pass difficulty

85.5%

How difficult a pass was to complete.

Actual vs. expected passing

-1.2 pp

-1.1 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

85.5%

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Under-pressure pass rate

13.5%

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Progressive pass rate

15.7%

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Long-pass rate

16.9%

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Average forward distance

6.8 units

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Positive forward distance / 100 passes

1034.7 units

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Final-third entries / 100 passes

14.607

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Carry share of actions

43.6%

44th percentile among DEF players

n = 94 eligible peers · sample 149

Progressive carry rate

1.5%

41st percentile among DEF players

n = 87 eligible peers · sample 65

Progressive action rate

10.1%

51st percentile among DEF players

n = 94 eligible peers · sample 149

Under-pressure action rate

15.4%

48th percentile among DEF players

n = 94 eligible peers · sample 149

Shots / observed match

0.50 / match

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

xG / shot

6.3%

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

-1.2 pp

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Under-pressure completion above expected

+5.5 pp

Unavailable among DEF players

n = 13 eligible peers · sample 12

requires 20 pressure passes

Progressive completion above expected

-10.2 pp

Unavailable among DEF players

n = 17 eligible peers · sample 14

requires 20 progressive passes

Long-pass completion above expected

-11.6 pp

Unavailable among DEF players

n = 21 eligible peers · sample 15

requires 20 long passes

Goals above expected

-0.063

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

-0.045

13th percentile among DEF players

n = 94 eligible peers · sample 149

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

Passing impact / 100 passes

-0.098

25th percentile among DEF players

n = 94 eligible peers · sample 84

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

Carrying impact / 100 carries

0.024

10th percentile among DEF players

n = 87 eligible peers · sample 65

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

Progressive-action impact / 100 actions

-0.050

10th percentile among DEF players

n = 94 eligible peers · sample 149

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

Under-pressure impact / 100 actions

0.004

26th percentile among DEF players

n = 94 eligible peers · sample 149

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

Playing style

Direct Progressor

Position-relative style among eligible DEF players.

Style separation0.077

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty+0.28 z
Under-pressure pass rate+0.22 z
Progressive-pass rate-0.07 z
Long-pass rate+0.14 z
Positive forward distance / 100 passes+0.64 z
Carry share of actions-0.12 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 closer0.865
CloserFarther

Strongest alignment

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

Largest difference

Positive Forward Distance Per 100 Passes

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
xG0.06
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

-0.045

Passing impact / 100 passes

-0.098

Carrying impact / 100 carries

+0.024

Progressive-action impact / 100 actions

-0.050

Under-pressure impact / 100 actions

+0.004

149 actions · 84 passes · 65 carries · 49.0% 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
83.3%
Pass difficulty
77.8%
Actual vs. expected passing
+5.5 pp

Limited sample — interpret this split cautiously.

Progressive passing

14 attempts

Limited sample
Actual
28.6%
Pass difficulty
38.8%
Actual vs. expected passing
-10.2 pp

Limited sample — interpret this split cautiously.

Long passing

15 attempts

Limited sample
Actual
40.0%
Pass difficulty
51.6%

Progression profile

Progressive-pass rate

15.7%

Pressure-pass rate

13.5%

Average forward distance

6.8 m

Positive forward distance / 100

1034.7 m

Final-third entries / 100

14.6

Campos visualization

Pass map

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

Showing 1–89 of 89 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
87.4%
Outcome
Completed
Attacking impact
0.0000
Value before
0.0045
Value after
0.0045
Length
3.6 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

Patrick Mainka

FC Heidenheim · Right Center Back

Style similarity

90.1 / 100

Progressive Pass RateExpected Completion RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Timo Hübers

FC Köln · Right Center Back

Style similarity

85.7 / 100

Actual vs. expected passing
-11.6 pp

Limited sample — interpret this split cautiously.

Expected Completion RatePressure Pass RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Anthony Jung

Werder Bremen · Left Center Back

Style similarity

84.8 / 100

Carry Share Of ActionsLong Pass RateExpected Completion Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#4 · Same position group

Matthias Ginter

Freiburg · Right Center Back

Style similarity

83.3 / 100

Long Pass RateCarry Share Of ActionsPositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Ozan Muhammed Kabak

Hoffenheim · Right Center Back

Style similarity

81.3 / 100

Pressure Pass RateCarry Share Of ActionsExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Maxence Lacroix

Wolfsburg · 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

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.