FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Leon Goretzka

Bayern Munich · Left Defensive Midfield · MID

Matches observed2
Pass attempts110
Reliable sample

Actual completion

90.0%

99 completed passes

Pass difficulty

91.2%

How difficult a pass was to complete.

Actual vs. expected passing

-1.2 pp

-1.4 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

91.2%

100th percentile among MID players

n = 13 eligible peers · sample 110

Under-pressure pass rate

15.5%

46th percentile among MID players

n = 13 eligible peers · sample 110

Progressive pass rate

6.4%

8th percentile among MID players

n = 13 eligible peers · sample 110

Long-pass rate

12.7%

75th percentile among MID players

n = 13 eligible peers · sample 110

Average forward distance

1.9 units

50th percentile among MID players

n = 13 eligible peers · sample 110

Positive forward distance / 100 passes

536.8 units

42nd percentile among MID players

n = 13 eligible peers · sample 110

Final-third entries / 100 passes

5.455

17th percentile among MID players

n = 13 eligible peers · sample 110

Carry share of actions

44.1%

35th percentile among MID players

n = 61 eligible peers · sample 188

Progressive carry rate

3.6%

55th percentile among MID players

n = 66 eligible peers · sample 83

Progressive action rate

4.8%

28th percentile among MID players

n = 61 eligible peers · sample 188

Under-pressure action rate

18.6%

25th percentile among MID players

n = 61 eligible peers · sample 188

Shots / observed match

2.00 / match

Unavailable among MID players

n = 5 eligible peers · sample 4

requires 20 shots

xG / shot

12.5%

Unavailable among MID players

n = 5 eligible peers · sample 4

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

-1.2 pp

33rd percentile among MID players

n = 13 eligible peers · sample 110

Under-pressure completion above expected

-5.2 pp

Unavailable among MID players

n = 10 eligible peers · sample 17

requires 20 pressure passes

Progressive completion above expected

-5.0 pp

Unavailable among MID players

n = 9 eligible peers · sample 7

requires 20 progressive passes

Long-pass completion above expected

-1.1 pp

Unavailable among MID players

n = 9 eligible peers · sample 14

requires 20 long passes

Goals above expected

0.499

Unavailable among MID players

n = 5 eligible peers · sample 4

requires 20 shots

Overall impact / 100 actions

-0.092

10th percentile among MID players

n = 61 eligible peers · sample 188

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

Passing impact / 100 passes

-0.231

12th percentile among MID players

n = 58 eligible peers · sample 105

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

Carrying impact / 100 carries

0.085

51st percentile among MID players

n = 66 eligible peers · sample 83

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

Progressive-action impact / 100 actions

-0.059

7th percentile among MID players

n = 61 eligible peers · sample 188

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

Under-pressure impact / 100 actions

-0.049

3rd percentile among MID players

n = 61 eligible peers · sample 188

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

Playing style

Safe Circulator

Position-relative style among eligible MID players.

Style separation0.567

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+1.12 z
Under-pressure pass rate-0.20 z
Progressive-pass rate-0.95 z
Long-pass rate+0.06 z
Positive forward distance / 100 passes-0.44 z
Carry share of actions-0.40 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 closer0.564
CloserFarther

Strongest alignment

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

Largest difference

Progressive 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

4

2 matches observed

Goals

1

Total xG

0.5

Goals above expected

+0.5

xG / shot

0.1

25.0% 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.

Shots4
Goals1
xG0.50
xG0.00 – 1.00
Foot
Header
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

-0.092

Passing impact / 100 passes

-0.231

Carrying impact / 100 carries

+0.085

Progressive-action impact / 100 actions

-0.059

Under-pressure impact / 100 actions

-0.049

188 actions · 105 passes · 83 carries · 47.3% 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

17 attempts

Limited sample
Actual
70.6%
Pass difficulty
75.8%
Actual vs. expected passing
-5.2 pp

Limited sample — interpret this split cautiously.

Progressive passing

7 attempts

Limited sample
Actual
42.9%
Pass difficulty
47.9%
Actual vs. expected passing
-5.0 pp

Limited sample — interpret this split cautiously.

Long passing

14 attempts

Limited sample
Actual
92.9%
Pass difficulty
93.9%

Progression profile

Progressive-pass rate

6.4%

Pressure-pass rate

15.5%

Average forward distance

1.9 m

Positive forward distance / 100

536.8 m

Final-third entries / 100

5.5

Campos visualization

Pass map

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

Showing 1–110 of 110 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
98.9%
Outcome
Completed
Attacking impact
0.0004
Value before
0.0076
Value after
0.0080
Length
9.7 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

Bartol Franjić

Darmstadt 98 · Right Defensive Midfield

Style similarity

81.1 / 100

Carry Share Of ActionsProgressive Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Nicolas Höfler

Freiburg · Right Defensive Midfield

Style similarity

79.5 / 100

Actual vs. expected passing
-1.1 pp

Limited sample — interpret this split cautiously.

Positive Forward Distance Per 100 PassesLong Pass RatePressure 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

77.6 / 100

Expected Completion RatePressure Pass RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 33 matches

#4 · Same position group

Exequiel Alejandro Palacios

Bayer Leverkusen · 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: 2 vs 24 matches

#5 · Same position group

Robert Andrich

Bayer Leverkusen · Right Defensive Midfield

Style similarity

74.3 / 100

Carry Share Of ActionsLong Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 28 matches

#6 · Same position group

Aleksandar Pavlović

Bayern Munich · Right Defensive Midfield

Style similarity

73.7 / 100

Positive Forward Distance Per 100 PassesExpected Completion RateProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 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.