FSFootyScout
PlayersTeam IntelligenceScoutingLeaderboardCompareArchetypesModel

FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Marcel Sabitzer

Borussia Dortmund · Right Center Midfield · MID

Matches observed2
Pass attempts56
Limited sample

Actual completion

76.8%

43 completed passes

Pass difficulty

77.1%

How difficult a pass was to complete.

Actual vs. expected passing

-0.3 pp

-0.2 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.

Insufficient eligible position metrics for a meaningful radar.

Style

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

Pass difficulty

77.1%

Unavailable among MID players

n = 13 eligible peers · sample 56

requires 100 passes

Under-pressure pass rate

16.1%

Unavailable among MID players

n = 13 eligible peers · sample 56

requires 100 passes

Progressive pass rate

10.7%

Unavailable among MID players

n = 13 eligible peers · sample 56

requires 100 passes

Long-pass rate

8.9%

Unavailable among MID players

n = 13 eligible peers · sample 56

requires 100 passes

Average forward distance

3.6 units

Unavailable among MID players

n = 13 eligible peers · sample 56

requires 100 passes

Positive forward distance / 100 passes

691.4 units

Unavailable among MID players

n = 13 eligible peers · sample 56

requires 100 passes

Final-third entries / 100 passes

7.143

Unavailable among MID players

n = 13 eligible peers · sample 56

requires 100 passes

Carry share of actions

41.2%

10th percentile among MID players

n = 61 eligible peers · sample 85

Progressive carry rate

11.4%

91st percentile among MID players

n = 66 eligible peers · sample 35

Progressive action rate

9.4%

58th percentile among MID players

n = 61 eligible peers · sample 85

Under-pressure action rate

21.2%

42nd percentile among MID players

n = 61 eligible peers · sample 85

Shots / observed match

1.00 / match

Unavailable among MID players

n = 5 eligible peers · sample 2

requires 20 shots

xG / shot

6.1%

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

-0.3 pp

Unavailable among MID players

n = 13 eligible peers · sample 56

requires 100 passes

Under-pressure completion above expected

+1.3 pp

Unavailable among MID players

n = 10 eligible peers · sample 9

requires 20 pressure passes

Progressive completion above expected

+4.7 pp

Unavailable among MID players

n = 9 eligible peers · sample 6

requires 20 progressive passes

Long-pass completion above expected

-13.3 pp

Unavailable among MID players

n = 9 eligible peers · sample 5

requires 20 long passes

Goals above expected

-0.122

Unavailable among MID players

n = 5 eligible peers · sample 2

requires 20 shots

Overall impact / 100 actions

-0.016

47th percentile among MID players

n = 61 eligible peers · sample 85

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

Passing impact / 100 passes

-0.038

63rd percentile among MID players

n = 58 eligible peers · sample 50

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

Carrying impact / 100 carries

0.015

3rd percentile among MID players

n = 66 eligible peers · sample 35

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

Progressive-action impact / 100 actions

0.130

95th percentile among MID players

n = 61 eligible peers · sample 85

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

Under-pressure impact / 100 actions

-0.093

0th percentile among MID players

n = 61 eligible peers · sample 85

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

Playing style

Direct Progressor

Position-relative style among eligible MID players.

Style separation0.320

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty-1.98 z
Under-pressure pass rate-0.10 z
Progressive-pass rate-0.28 z
Long-pass rate-0.65 z
Positive forward distance / 100 passes+0.79 z
Carry share of actions-1.24 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 closer1.222
CloserFarther

Strongest alignment

  • Pressure Pass Rate
  • Long Pass Rate
  • Progressive Pass Rate

Largest difference

Expected Completion 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

0.1

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
xG0.12
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

-0.016

Passing impact / 100 passes

-0.038

Carrying impact / 100 carries

+0.015

Progressive-action impact / 100 actions

+0.130

Under-pressure impact / 100 actions

-0.093

85 actions · 50 passes · 35 carries · 52.9% 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

9 attempts

Limited sample
Actual
55.6%
Pass difficulty
54.2%
Actual vs. expected passing
+1.3 pp

Limited sample — interpret this split cautiously.

Progressive passing

6 attempts

Limited sample
Actual
50.0%
Pass difficulty
45.3%
Actual vs. expected passing
+4.7 pp

Limited sample — interpret this split cautiously.

Long passing

5 attempts

Limited sample
Actual
60.0%
Pass difficulty
73.3%

Progression profile

Progressive-pass rate

10.7%

Pressure-pass rate

16.1%

Average forward distance

3.6 m

Positive forward distance / 100

691.4 m

Final-third entries / 100

7.1

Campos visualization

Pass map

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

Showing 1–56 of 56 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
99.6%
Outcome
Completed
Attacking impact
-0.0019
Value before
0.0075
Value after
0.0056
Length
26.4 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

Mario Götze

Eintracht Frankfurt · Right Defensive Midfield

Style similarity

60.3 / 100

Long Pass RatePressure Pass RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Yannick Gerhardt

Wolfsburg · Right Center Midfield

Style similarity

60.0 / 100

Actual vs. expected passing
-13.3 pp

Limited sample — interpret this split cautiously.

Progressive Pass RatePressure Pass RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Aïssa Bilal Laïdouni

Union Berlin · Left Defensive Midfield

Style similarity

58.9 / 100

Pressure Pass RateLong Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Leandro Barreiro Martins

FSV Mainz 05 · Right Defensive Midfield

Style similarity

55.4 / 100

Progressive Pass RateLong Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Florian Neuhaus

Borussia Mönchengladbach · Left Defensive Midfield

Style similarity

54.3 / 100

Long Pass RateProgressive Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Lennard Maloney

FC Heidenheim · Right Defensive Midfield

Style similarity

54.2 / 100

Pressure Pass RatePositive Forward Distance Per 100 PassesProgressive 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.