FSFootyScout
PlayersTeam IntelligenceScoutingLeaderboardCompareArchetypesModel

FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Alejandro Grimaldo García

Bayer Leverkusen · Left Wing Back · DEF

Matches observed33
Pass attempts2,159
Reliable sample

Actual completion

82.6%

1,783 completed passes

Pass difficulty

81.8%

How difficult a pass was to complete.

Actual vs. expected passing

+0.8 pp

+17.7 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.

102030405060708090Under-pressure pass rateProgressive pass rateLong-pass rateProgressive carry rateActual vs. expected passingCarrying impact / 100 carries
Style
Performance
0–100 empirical percentiles among eligible same-position peers.

Style

Tendencies describe what a player attempts; higher is not automatically better.

Pass difficulty

81.8%

14th percentile among DEF players

n = 23 eligible peers · sample 2159

Under-pressure pass rate

12.5%

64th percentile among DEF players

n = 23 eligible peers · sample 2159

Progressive pass rate

18.5%

91st percentile among DEF players

n = 23 eligible peers · sample 2159

Long-pass rate

11.3%

27th percentile among DEF players

n = 23 eligible peers · sample 2159

Average forward distance

-1.2 units

14th percentile among DEF players

n = 23 eligible peers · sample 2159

Positive forward distance / 100 passes

452.5 units

9th percentile among DEF players

n = 23 eligible peers · sample 2159

Final-third entries / 100 passes

5.929

18th percentile among DEF players

n = 23 eligible peers · sample 2159

Carry share of actions

43.6%

42nd percentile among DEF players

n = 94 eligible peers · sample 3742

Progressive carry rate

3.6%

67th percentile among DEF players

n = 87 eligible peers · sample 1630

Progressive action rate

12.0%

67th percentile among DEF players

n = 94 eligible peers · sample 3742

Under-pressure action rate

17.6%

61st percentile among DEF players

n = 94 eligible peers · sample 3742

Shots / observed match

2.15 / match

Unavailable among DEF players

n = 4 eligible peers · sample 71

requires 10 eligible position peers

xG / shot

7.2%

Unavailable among DEF players

n = 4 eligible peers · sample 71

requires 10 eligible position peers

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

+0.8 pp

50th percentile among DEF players

n = 23 eligible peers · sample 2159

Under-pressure completion above expected

-2.2 pp

0th percentile among DEF players

n = 13 eligible peers · sample 269

Progressive completion above expected

+2.2 pp

44th percentile among DEF players

n = 17 eligible peers · sample 400

Long-pass completion above expected

-0.2 pp

65th percentile among DEF players

n = 21 eligible peers · sample 243

Goals above expected

4.897

Unavailable among DEF players

n = 4 eligible peers · sample 71

requires 10 eligible position peers

Overall impact / 100 actions

0.009

46th percentile among DEF players

n = 94 eligible peers · sample 3742

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

Passing impact / 100 passes

-0.060

39th percentile among DEF players

n = 94 eligible peers · sample 2112

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

Carrying impact / 100 carries

0.098

72nd percentile among DEF players

n = 87 eligible peers · sample 1630

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

Progressive-action impact / 100 actions

0.066

81st percentile among DEF players

n = 94 eligible peers · sample 3742

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

Under-pressure impact / 100 actions

0.009

34th percentile among DEF players

n = 94 eligible peers · sample 3742

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

Playing style

Safe Circulator

Position-relative style among eligible DEF players.

Style separation0.349

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty-0.36 z
Under-pressure pass rate+0.03 z
Progressive-pass rate+0.32 z
Long-pass rate-0.70 z
Positive forward distance / 100 passes-1.75 z
Carry share of actions-0.14 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 the observed role of Leverkusen's other DEF contributors.

Role distance · lower is closer0.927
CloserFarther

Strongest alignment

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

Largest difference

Expected Completion Rate

higher sampleObserved across 33 matchesRole: 34 matches · 8 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.

Reliable sample

Shots

71

30 matches observed

Goals

10

Total xG

5.1

Goals above expected

+4.9

xG / shot

0.1

14.1% goals / shot

Campos visualization

Shot map

Non-penalty xG is encoded by marker size and color. Preserved penalties have no modeled xG.

Shots71
Goals10
xG5.10
xG0.00 – 1.00
Foot
Header
Set piece
Corner
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

+0.009

Passing impact / 100 passes

-0.060

Carrying impact / 100 carries

+0.098

Progressive-action impact / 100 actions

+0.066

Under-pressure impact / 100 actions

+0.009

3,742 actions · 2,112 passes · 1,630 carries · 49.2% 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

269 attempts

Reliable sample
Actual
76.6%
Pass difficulty
78.8%
Actual vs. expected passing
-2.2 pp

Progressive passing

400 attempts

Reliable sample
Actual
47.3%
Pass difficulty
45.0%
Actual vs. expected passing
+2.2 pp

Long passing

243 attempts

Reliable sample
Actual
47.3%
Pass difficulty
47.5%
Actual vs. expected passing
-0.2 pp

Progression profile

Progressive-pass rate

18.5%

Pressure-pass rate

12.5%

Average forward distance

-1.2 m

Positive forward distance / 100

452.5 m

Final-third entries / 100

5.9

Campos visualization

Pass map

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

Showing 1–200 of 2,159 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
98.8%
Outcome
Completed
Attacking impact
-0.0046
Value before
0.0149
Value after
0.0104
Length
20.3 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.

#1 · Same position group

Aurélio Gabriel Ulineia Buta

Eintracht Frankfurt · Right Wing Back

Style similarity

73.4 / 100

Pressure Pass RateLong Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 33 vs 2 matches

#2 · Same position group

Maximilian Mittelstädt

VfB Stuttgart · Left Back

Style similarity

72.5 / 100

Expected Completion Rate
Long Pass Rate
Carry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 33 vs 2 matches

#3 · Same position group

Ridle Bote Baku

Wolfsburg · Right Wing Back

Style similarity

70.7 / 100

Carry Share Of ActionsPressure Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 33 vs 2 matches

#4 · Same position group

Noussair Mazraoui

Bayern Munich · Right Wing Back

Style similarity

70.2 / 100

Positive Forward Distance Per 100 PassesPressure Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 33 vs 2 matches

#5 · Same position group

Arthur Augusto de Matos Soares

Bayer Leverkusen · Left Wing Back

Style similarity

69.9 / 100

Positive Forward Distance Per 100 PassesLong Pass RateProgressive Pass Rate

Sample support: Higher · 4 limiting matches

Observed: 33 vs 4 matches

#6 · Same position group

Lucas Silva Melo

Eintracht Frankfurt · Right Back

Style similarity

65.4 / 100

Pressure Pass RateLong Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 33 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.