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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Mario Götze

Eintracht Frankfurt · Right Defensive Midfield · MID

Matches observed2
Pass attempts110
Reliable sample

Actual completion

82.7%

91 completed passes

Pass difficulty

84.8%

How difficult a pass was to complete.

Actual vs. expected passing

-2.0 pp

-2.2 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

84.8%

50th 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

16.4%

75th percentile among MID players

n = 13 eligible peers · sample 110

Long-pass rate

9.1%

42nd percentile among MID players

n = 13 eligible peers · sample 110

Average forward distance

1.2 units

25th percentile among MID players

n = 13 eligible peers · sample 110

Positive forward distance / 100 passes

552.0 units

50th percentile among MID players

n = 13 eligible peers · sample 110

Final-third entries / 100 passes

7.273

42nd percentile among MID players

n = 13 eligible peers · sample 110

Carry share of actions

43.5%

25th percentile among MID players

n = 61 eligible peers · sample 193

Progressive carry rate

2.4%

37th percentile among MID players

n = 66 eligible peers · sample 84

Progressive action rate

9.8%

63rd percentile among MID players

n = 61 eligible peers · sample 193

Under-pressure action rate

17.1%

18th percentile among MID players

n = 61 eligible peers · sample 193

Shots / observed match

1.00 / match

Unavailable among MID players

n = 5 eligible peers · sample 2

requires 20 shots

xG / shot

6.8%

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

-2.0 pp

17th percentile among MID players

n = 13 eligible peers · sample 110

Under-pressure completion above expected

-2.1 pp

Unavailable among MID players

n = 10 eligible peers · sample 17

requires 20 pressure passes

Progressive completion above expected

-8.2 pp

Unavailable among MID players

n = 9 eligible peers · sample 18

requires 20 progressive passes

Long-pass completion above expected

-28.8 pp

Unavailable among MID players

n = 9 eligible peers · sample 10

requires 20 long passes

Goals above expected

-0.137

Unavailable among MID players

n = 5 eligible peers · sample 2

requires 20 shots

Overall impact / 100 actions

-0.031

37th percentile among MID players

n = 61 eligible peers · sample 193

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

Passing impact / 100 passes

-0.083

56th percentile among MID players

n = 58 eligible peers · sample 109

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

Carrying impact / 100 carries

0.036

12th percentile among MID players

n = 66 eligible peers · sample 84

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

Progressive-action impact / 100 actions

0.008

45th percentile among MID players

n = 61 eligible peers · sample 193

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

Under-pressure impact / 100 actions

0.014

25th percentile among MID players

n = 61 eligible peers · sample 193

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

Playing style

Direct Progressor

Position-relative style among eligible MID players.

Style separation0.071

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty-0.30 z
Under-pressure pass rate-0.20 z
Progressive-pass rate+0.59 z
Long-pass rate-0.62 z
Positive forward distance / 100 passes-0.32 z
Carry share of actions-0.57 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 closer0.503
CloserFarther

Strongest alignment

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

Largest difference

Carry Share Of Actions

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

0.1

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
xG0.14
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

-0.031

Passing impact / 100 passes

-0.083

Carrying impact / 100 carries

+0.036

Progressive-action impact / 100 actions

+0.008

Under-pressure impact / 100 actions

+0.014

193 actions · 109 passes · 84 carries · 45.6% 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
72.6%
Actual vs. expected passing
-2.1 pp

Limited sample — interpret this split cautiously.

Progressive passing

18 attempts

Limited sample
Actual
38.9%
Pass difficulty
47.1%
Actual vs. expected passing
-8.2 pp

Limited sample — interpret this split cautiously.

Long passing

10 attempts

Limited sample
Actual
30.0%
Pass difficulty
58.8%

Progression profile

Progressive-pass rate

16.4%

Pressure-pass rate

15.5%

Average forward distance

1.2 m

Positive forward distance / 100

552.0 m

Final-third entries / 100

7.3

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
79.5%
Outcome
Incomplete
Attacking impact
-0.0177
Value before
0.0177
Value after
0.0000
Length
31.6 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

Yannick Gerhardt

Wolfsburg · Right Center Midfield

Style similarity

74.2 / 100

Positive Forward Distance Per 100 PassesPressure Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Florian Neuhaus

Borussia Mönchengladbach · Left Defensive Midfield

Style similarity

71.7 / 100

Actual vs. expected passing
-28.8 pp

Limited sample — interpret this split cautiously.

Expected Completion RateLong Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Nicolas Seiwald

RB Leipzig · Right Defensive Midfield

Style similarity

69.7 / 100

Positive Forward Distance Per 100 PassesLong Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Florian Wirtz

Bayer Leverkusen · Left Attacking Midfield

Style similarity

69.1 / 100

Expected Completion RatePositive Forward Distance Per 100 PassesLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 32 matches

#5 · Same position group

Patrick Osterhage

Bochum · Center Defensive Midfield

Style similarity

69.1 / 100

Positive Forward Distance Per 100 PassesPressure Pass RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Jonas Hofmann

Bayer Leverkusen · Right Attacking Midfield

Style similarity

68.8 / 100

Carry Share Of ActionsExpected Completion RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 32 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.