FSFootyScout
PlayersTeam IntelligenceScoutingLeaderboardCompareArchetypesModel

FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Leonardo Bittencourt

Werder Bremen · Right Center Midfield · MID

Matches observed2
Pass attempts99
Limited sample

Actual completion

85.9%

85 completed passes

Pass difficulty

88.3%

How difficult a pass was to complete.

Actual vs. expected passing

-2.5 pp

-2.5 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

88.3%

Unavailable among MID players

n = 13 eligible peers · sample 99

requires 100 passes

Under-pressure pass rate

12.1%

Unavailable among MID players

n = 13 eligible peers · sample 99

requires 100 passes

Progressive pass rate

15.2%

Unavailable among MID players

n = 13 eligible peers · sample 99

requires 100 passes

Long-pass rate

17.2%

Unavailable among MID players

n = 13 eligible peers · sample 99

requires 100 passes

Average forward distance

3.5 units

Unavailable among MID players

n = 13 eligible peers · sample 99

requires 100 passes

Positive forward distance / 100 passes

746.4 units

Unavailable among MID players

n = 13 eligible peers · sample 99

requires 100 passes

Final-third entries / 100 passes

16.162

Unavailable among MID players

n = 13 eligible peers · sample 99

requires 100 passes

Carry share of actions

50.3%

87th percentile among MID players

n = 61 eligible peers · sample 187

Progressive carry rate

1.1%

26th percentile among MID players

n = 66 eligible peers · sample 94

Progressive action rate

7.5%

45th percentile among MID players

n = 61 eligible peers · sample 187

Under-pressure action rate

20.9%

37th percentile among MID players

n = 61 eligible peers · sample 187

Shots / observed match

1.00 / match

Unavailable among MID players

n = 5 eligible peers · sample 2

requires 20 shots

xG / shot

3.9%

Unavailable among MID players

n = 5 eligible peers · sample 2

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

-2.5 pp

Unavailable among MID players

n = 13 eligible peers · sample 99

requires 100 passes

Under-pressure completion above expected

-1.1 pp

Unavailable among MID players

n = 10 eligible peers · sample 12

requires 20 pressure passes

Progressive completion above expected

-4.8 pp

Unavailable among MID players

n = 9 eligible peers · sample 15

requires 20 progressive passes

Long-pass completion above expected

+4.5 pp

Unavailable among MID players

n = 9 eligible peers · sample 17

requires 20 long passes

Goals above expected

-0.077

Unavailable among MID players

n = 5 eligible peers · sample 2

requires 20 shots

Overall impact / 100 actions

-0.004

52nd percentile among MID players

n = 61 eligible peers · sample 187

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

Passing impact / 100 passes

-0.121

42nd percentile among MID players

n = 58 eligible peers · sample 93

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

Carrying impact / 100 carries

0.112

58th percentile among MID players

n = 66 eligible peers · sample 94

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

Progressive-action impact / 100 actions

0.016

50th percentile among MID players

n = 61 eligible peers · sample 187

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

Under-pressure impact / 100 actions

0.040

60th percentile among MID players

n = 61 eligible peers · sample 187

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

Playing style

Direct Progressor

Position-relative style among eligible MID players.

Style separation0.188

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty+0.49 z
Under-pressure pass rate-0.78 z
Progressive-pass rate+0.40 z
Long-pass rate+0.89 z
Positive forward distance / 100 passes+1.23 z
Carry share of actions+1.33 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 closer0.974
CloserFarther

Strongest alignment

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

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.

Expected Goals

Non-penalty shooting

Goals above expected is descriptive for this observed sample, not a definitive finishing-skill rating.

Limited sample

Shots

2

1 matches observed

Goals

0

Total xG

0.1

Goals above expected

-0.1

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.

Shots2
Goals0
xG0.08
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

-0.004

Passing impact / 100 passes

-0.121

Carrying impact / 100 carries

+0.112

Progressive-action impact / 100 actions

+0.016

Under-pressure impact / 100 actions

+0.040

187 actions · 93 passes · 94 carries · 48.1% 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
84.4%
Actual vs. expected passing
-1.1 pp

Limited sample — interpret this split cautiously.

Progressive passing

15 attempts

Limited sample
Actual
46.7%
Pass difficulty
51.5%
Actual vs. expected passing
-4.8 pp

Limited sample — interpret this split cautiously.

Long passing

17 attempts

Limited sample
Actual
76.5%
Pass difficulty
71.9%

Progression profile

Progressive-pass rate

15.2%

Pressure-pass rate

12.1%

Average forward distance

3.5 m

Positive forward distance / 100

746.4 m

Final-third entries / 100

16.2

Campos visualization

Pass map

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

Showing 1–99 of 99 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
98.8%
Outcome
Completed
Attacking impact
-0.0001
Value before
0.0075
Value after
0.0074
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

Xaver Schlager

RB Leipzig · Left Defensive Midfield

Style similarity

64.8 / 100

Expected Completion RateCarry Share Of ActionsPressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Xavi Simons

RB Leipzig · Right Attacking Midfield

Style similarity

62.3 / 100

Actual vs. expected passing
+4.5 pp

Limited sample — interpret this split cautiously.

Long Pass RatePositive Forward Distance Per 100 PassesProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Granit Xhaka

Bayer Leverkusen · Right Defensive Midfield

Style similarity

62.0 / 100

Expected Completion RatePressure Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 33 matches

#4 · Same position group

Niklas Dorsch

Augsburg · Center Defensive Midfield

Style similarity

61.7 / 100

Long Pass RatePositive Forward Distance Per 100 PassesExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Aïssa Bilal Laïdouni

Union Berlin · Left Defensive Midfield

Style similarity

61.5 / 100

Positive Forward Distance Per 100 PassesPressure Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Florian Neuhaus

Borussia Mönchengladbach · Left Defensive Midfield

Style similarity

61.3 / 100

Progressive Pass RatePressure Pass RateExpected 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.