FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Exequiel Alejandro Palacios

Bayer Leverkusen · Left Defensive Midfield · MID

Matches observed24
Pass attempts2,022
Reliable sample

Actual completion

92.3%

1,867 completed passes

Pass difficulty

90.6%

How difficult a pass was to complete.

Actual vs. expected passing

+1.8 pp

+35.9 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.

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

90.6%

83rd percentile among MID players

n = 13 eligible peers · sample 2022

Under-pressure pass rate

13.5%

33rd percentile among MID players

n = 13 eligible peers · sample 2022

Progressive pass rate

8.4%

17th percentile among MID players

n = 13 eligible peers · sample 2022

Long-pass rate

7.4%

25th percentile among MID players

n = 13 eligible peers · sample 2022

Average forward distance

2.4 units

67th percentile among MID players

n = 13 eligible peers · sample 2022

Positive forward distance / 100 passes

553.1 units

58th percentile among MID players

n = 13 eligible peers · sample 2022

Final-third entries / 100 passes

9.298

67th percentile among MID players

n = 13 eligible peers · sample 2022

Carry share of actions

46.3%

48th percentile among MID players

n = 61 eligible peers · sample 3657

Progressive carry rate

1.2%

28th percentile among MID players

n = 66 eligible peers · sample 1694

Progressive action rate

4.8%

27th percentile among MID players

n = 61 eligible peers · sample 3657

Under-pressure action rate

17.8%

20th percentile among MID players

n = 61 eligible peers · sample 3657

Shots / observed match

0.79 / match

Unavailable among MID players

n = 5 eligible peers · sample 19

requires 20 shots

xG / shot

7.4%

Unavailable among MID players

n = 5 eligible peers · sample 19

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

+1.8 pp

92nd percentile among MID players

n = 13 eligible peers · sample 2022

Under-pressure completion above expected

+2.4 pp

89th percentile among MID players

n = 10 eligible peers · sample 273

Progressive completion above expected

+6.8 pp

Unavailable among MID players

n = 9 eligible peers · sample 170

requires 10 eligible position peers

Long-pass completion above expected

+5.3 pp

Unavailable among MID players

n = 9 eligible peers · sample 149

requires 10 eligible position peers

Goals above expected

0.595

Unavailable among MID players

n = 5 eligible peers · sample 19

requires 20 shots

Overall impact / 100 actions

0.025

60th percentile among MID players

n = 61 eligible peers · sample 3657

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

Passing impact / 100 passes

0.001

77th percentile among MID players

n = 58 eligible peers · sample 1963

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

Carrying impact / 100 carries

0.053

20th percentile among MID players

n = 66 eligible peers · sample 1694

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

Progressive-action impact / 100 actions

0.028

63rd percentile among MID players

n = 61 eligible peers · sample 3657

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

Under-pressure impact / 100 actions

0.020

33rd percentile among MID players

n = 61 eligible peers · sample 3657

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

Playing style

Safe Circulator

Position-relative style among eligible MID players.

Style separation0.682

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+0.97 z
Under-pressure pass rate-0.54 z
Progressive-pass rate-0.64 z
Long-pass rate-0.94 z
Positive forward distance / 100 passes-0.31 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 the observed role of Leverkusen's other MID contributors.

Role distance · lower is closer0.511
CloserFarther

Strongest alignment

  • Carry Share Of Actions
  • Positive Forward Distance Per 100 Passes
  • Pressure Pass Rate

Largest difference

Progressive Pass Rate

higher sampleObserved across 24 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

19

10 matches observed

Goals

2

Total xG

1.4

Goals above expected

+0.6

xG / shot

0.1

10.5% 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.

Shots21
Goals4
xG1.41
xG0.00 – 1.00
Foot
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

+0.025

Passing impact / 100 passes

+0.001

Carrying impact / 100 carries

+0.053

Progressive-action impact / 100 actions

+0.028

Under-pressure impact / 100 actions

+0.020

3,657 actions · 1,963 passes · 1,694 carries · 51.1% 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

273 attempts

Reliable sample
Actual
87.2%
Pass difficulty
84.8%
Actual vs. expected passing
+2.4 pp

Progressive passing

170 attempts

Reliable sample
Actual
68.2%
Pass difficulty
61.4%
Actual vs. expected passing
+6.8 pp

Long passing

149 attempts

Reliable sample
Actual
82.6%
Pass difficulty
77.3%
Actual vs. expected passing
+5.3 pp

Progression profile

Progressive-pass rate

8.4%

Pressure-pass rate

13.5%

Average forward distance

2.4 m

Positive forward distance / 100

553.1 m

Final-third entries / 100

9.3

Campos visualization

Pass map

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

Showing 1–200 of 2,022 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
79.2%
Outcome
Completed
Attacking impact
0.0154
Value before
0.0208
Value after
0.0362
Length
16.3 m
Context
Progressive
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

Nicolas Seiwald

RB Leipzig · Right Defensive Midfield

Style similarity

79.9 / 100

Positive Forward Distance Per 100 PassesLong Pass RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 24 vs 2 matches

#2 · Same position group

Atakan Karazor

VfB Stuttgart · Right Defensive Midfield

Style similarity

78.9 / 100

Pressure Pass RateProgressive Pass Rate
Long Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 24 vs 2 matches

#3 · Same position group

Patrick Osterhage

Bochum · Center Defensive Midfield

Style similarity

78.1 / 100

Carry Share Of ActionsExpected Completion RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 24 vs 2 matches

#4 · Same position group

Aleksandar Pavlović

Bayern Munich · Right Defensive Midfield

Style similarity

77.5 / 100

Long Pass RatePositive Forward Distance Per 100 PassesCarry Share Of Actions

Sample support: Limited · 1 limiting matches

Observed: 24 vs 1 matches

#5 · Same position group

Granit Xhaka

Bayer Leverkusen · Right Defensive Midfield

Style similarity

75.9 / 100

Expected Completion RateProgressive Pass RateCarry Share Of Actions

Sample support: Higher · 24 limiting matches

Observed: 24 vs 33 matches

#6 · Same position group

Leon Goretzka

Bayern Munich · Left Defensive Midfield

Style similarity

75.5 / 100

Positive Forward Distance Per 100 PassesExpected Completion RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 24 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.