FSFootyScout
PlayersTeam IntelligenceScoutingLeaderboardCompareArchetypesModel

FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Leandro Barreiro Martins

FSV Mainz 05 · Right Defensive Midfield · MID

Matches observed2
Pass attempts71
Limited sample

Actual completion

85.9%

61 completed passes

Pass difficulty

86.8%

How difficult a pass was to complete.

Actual vs. expected passing

-0.8 pp

-0.6 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

86.8%

Unavailable among MID players

n = 13 eligible peers · sample 71

requires 100 passes

Under-pressure pass rate

21.1%

Unavailable among MID players

n = 13 eligible peers · sample 71

requires 100 passes

Progressive pass rate

8.5%

Unavailable among MID players

n = 13 eligible peers · sample 71

requires 100 passes

Long-pass rate

7.0%

Unavailable among MID players

n = 13 eligible peers · sample 71

requires 100 passes

Average forward distance

1.3 units

Unavailable among MID players

n = 13 eligible peers · sample 71

requires 100 passes

Positive forward distance / 100 passes

592.3 units

Unavailable among MID players

n = 13 eligible peers · sample 71

requires 100 passes

Final-third entries / 100 passes

4.225

Unavailable among MID players

n = 13 eligible peers · sample 71

requires 100 passes

Carry share of actions

44.8%

40th percentile among MID players

n = 61 eligible peers · sample 116

Progressive carry rate

0.0%

12th percentile among MID players

n = 66 eligible peers · sample 52

Progressive action rate

4.3%

23rd percentile among MID players

n = 61 eligible peers · sample 116

Under-pressure action rate

21.6%

47th percentile among MID players

n = 61 eligible peers · sample 116

Shots / observed match

1.00 / match

Unavailable among MID players

n = 5 eligible peers · sample 2

requires 20 shots

xG / shot

10.0%

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

-0.8 pp

Unavailable among MID players

n = 13 eligible peers · sample 71

requires 100 passes

Under-pressure completion above expected

-1.1 pp

Unavailable among MID players

n = 10 eligible peers · sample 15

requires 20 pressure passes

Progressive completion above expected

+4.4 pp

Unavailable among MID players

n = 9 eligible peers · sample 6

requires 20 progressive passes

Long-pass completion above expected

-24.0 pp

Unavailable among MID players

n = 9 eligible peers · sample 5

requires 20 long passes

Goals above expected

-0.200

Unavailable among MID players

n = 5 eligible peers · sample 2

requires 20 shots

Overall impact / 100 actions

-0.108

8th percentile among MID players

n = 61 eligible peers · sample 116

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

Passing impact / 100 passes

-0.226

14th percentile among MID players

n = 58 eligible peers · sample 64

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

Carrying impact / 100 carries

0.037

14th percentile among MID players

n = 66 eligible peers · sample 52

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

Progressive-action impact / 100 actions

-0.048

8th percentile among MID players

n = 61 eligible peers · sample 116

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

Under-pressure impact / 100 actions

0.019

32nd percentile among MID players

n = 61 eligible peers · sample 116

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

Playing style

Safe Circulator

Position-relative style among eligible MID players.

Style separation0.542

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+0.14 z
Under-pressure pass rate+0.78 z
Progressive-pass rate-0.63 z
Long-pass rate-1.00 z
Positive forward distance / 100 passes+0.00 z
Carry share of actions-0.21 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 closer0.574
CloserFarther

Strongest alignment

  • Positive Forward Distance Per 100 Passes
  • Expected Completion Rate
  • Carry Share Of Actions

Largest difference

Pressure Pass Rate

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

0.2

Goals above expected

-0.2

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.

Shots2
Goals0
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

-0.108

Passing impact / 100 passes

-0.226

Carrying impact / 100 carries

+0.037

Progressive-action impact / 100 actions

-0.048

Under-pressure impact / 100 actions

+0.019

116 actions · 64 passes · 52 carries · 45.7% 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

15 attempts

Limited sample
Actual
80.0%
Pass difficulty
81.1%
Actual vs. expected passing
-1.1 pp

Limited sample — interpret this split cautiously.

Progressive passing

6 attempts

Limited sample
Actual
33.3%
Pass difficulty
29.0%
Actual vs. expected passing
+4.4 pp

Limited sample — interpret this split cautiously.

Long passing

5 attempts

Limited sample
Actual
60.0%
Pass difficulty
84.0%

Progression profile

Progressive-pass rate

8.5%

Pressure-pass rate

21.1%

Average forward distance

1.3 m

Positive forward distance / 100

592.3 m

Final-third entries / 100

4.2

Campos visualization

Pass map

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

Showing 1–71 of 71 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
16.6%
Outcome
Completed
Attacking impact
0.0574
Value before
0.0488
Value after
0.1062
Length
5.9 m
Context
Progressive · 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

Emre Can

Borussia Dortmund · Center Defensive Midfield

Style similarity

76.9 / 100

Pressure Pass RatePositive Forward Distance Per 100 PassesLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Aleksandar Pavlović

Bayern Munich · Right Defensive Midfield

Style similarity

74.9 / 100

Actual vs. expected passing
-24.0 pp

Limited sample — interpret this split cautiously.

Long Pass RatePressure Pass RateProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#3 · Same position group

Patrick Osterhage

Bochum · Center Defensive Midfield

Style similarity

73.6 / 100

Long Pass RateCarry Share Of ActionsPressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Bartol Franjić

Darmstadt 98 · Right Defensive Midfield

Style similarity

72.3 / 100

Long Pass RateCarry Share Of ActionsProgressive Pass 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

72.1 / 100

Progressive Pass RateExpected Completion RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Nicolas Höfler

Freiburg · Right Defensive Midfield

Style similarity

71.2 / 100

Positive Forward Distance Per 100 PassesExpected Completion RatePressure 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.