FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Atakan Karazor

VfB Stuttgart · Right Defensive Midfield · MID

Matches observed2
Pass attempts129
Reliable sample

Actual completion

89.1%

115 completed passes

Pass difficulty

88.7%

How difficult a pass was to complete.

Actual vs. expected passing

+0.4 pp

+0.5 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

88.7%

67th percentile among MID players

n = 13 eligible peers · sample 129

Under-pressure pass rate

12.4%

8th percentile among MID players

n = 13 eligible peers · sample 129

Progressive pass rate

6.2%

0th percentile among MID players

n = 13 eligible peers · sample 129

Long-pass rate

5.4%

0th percentile among MID players

n = 13 eligible peers · sample 129

Average forward distance

1.6 units

42nd percentile among MID players

n = 13 eligible peers · sample 129

Positive forward distance / 100 passes

482.2 units

25th percentile among MID players

n = 13 eligible peers · sample 129

Final-third entries / 100 passes

2.326

0th percentile among MID players

n = 13 eligible peers · sample 129

Carry share of actions

44.1%

33rd percentile among MID players

n = 61 eligible peers · sample 220

Progressive carry rate

0.0%

12th percentile among MID players

n = 66 eligible peers · sample 97

Progressive action rate

3.6%

19th percentile among MID players

n = 61 eligible peers · sample 220

Under-pressure action rate

16.4%

17th percentile among MID players

n = 61 eligible peers · sample 220

Shots / observed match

0.50 / match

Unavailable among MID players

n = 5 eligible peers · sample 1

requires 20 shots

xG / shot

3.9%

Unavailable among MID players

n = 5 eligible peers · sample 1

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

+0.4 pp

67th percentile among MID players

n = 13 eligible peers · sample 129

Under-pressure completion above expected

+2.2 pp

Unavailable among MID players

n = 10 eligible peers · sample 16

requires 20 pressure passes

Progressive completion above expected

+12.8 pp

Unavailable among MID players

n = 9 eligible peers · sample 8

requires 20 progressive passes

Long-pass completion above expected

-18.7 pp

Unavailable among MID players

n = 9 eligible peers · sample 7

requires 20 long passes

Goals above expected

-0.039

Unavailable among MID players

n = 5 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

-0.038

33rd percentile among MID players

n = 61 eligible peers · sample 220

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

Passing impact / 100 passes

-0.083

58th percentile among MID players

n = 58 eligible peers · sample 123

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

Carrying impact / 100 carries

0.019

5th percentile among MID players

n = 66 eligible peers · sample 97

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

Progressive-action impact / 100 actions

-0.004

33rd percentile among MID players

n = 61 eligible peers · sample 220

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

Under-pressure impact / 100 actions

0.010

20th percentile among MID players

n = 61 eligible peers · sample 220

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

Playing style

Safe Circulator

Position-relative style among eligible MID players.

Style separation0.557

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+0.57 z
Under-pressure pass rate-0.73 z
Progressive-pass rate-0.98 z
Long-pass rate-1.30 z
Positive forward distance / 100 passes-0.88 z
Carry share of actions-0.41 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 closer0.671
CloserFarther

Strongest alignment

  • Expected Completion Rate
  • Pressure Pass Rate
  • Carry Share Of Actions

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

1

1 matches observed

Goals

0

Total xG

0.0

Goals above expected

-0.0

xG / shot

0.0

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.

Shots1
Goals0
xG0.04
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

-0.038

Passing impact / 100 passes

-0.083

Carrying impact / 100 carries

+0.019

Progressive-action impact / 100 actions

-0.004

Under-pressure impact / 100 actions

+0.010

220 actions · 123 passes · 97 carries · 43.6% 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

16 attempts

Limited sample
Actual
75.0%
Pass difficulty
72.8%
Actual vs. expected passing
+2.2 pp

Limited sample — interpret this split cautiously.

Progressive passing

8 attempts

Limited sample
Actual
50.0%
Pass difficulty
37.2%
Actual vs. expected passing
+12.8 pp

Limited sample — interpret this split cautiously.

Long passing

7 attempts

Limited sample
Actual
57.1%
Pass difficulty
75.8%

Progression profile

Progressive-pass rate

6.2%

Pressure-pass rate

12.4%

Average forward distance

1.6 m

Positive forward distance / 100

482.2 m

Final-third entries / 100

2.3

Campos visualization

Pass map

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

Showing 1–129 of 129 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
96.3%
Outcome
Completed
Attacking impact
0.0001
Value before
0.0055
Value after
0.0056
Length
26.5 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

Exequiel Alejandro Palacios

Bayer Leverkusen · Left Defensive Midfield

Style similarity

78.9 / 100

Pressure Pass RateProgressive Pass RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 24 matches

#2 · Same position group

Bartol Franjić

Darmstadt 98 · Right Defensive Midfield

Style similarity

77.3 / 100

Actual vs. expected passing
-18.7 pp

Limited sample — interpret this split cautiously.

Positive Forward Distance Per 100 PassesCarry Share Of ActionsProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Nicolas Seiwald

RB Leipzig · Right Defensive Midfield

Style similarity

73.8 / 100

Pressure Pass RateLong Pass RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Enzo Millot

VfB Stuttgart · Left Defensive Midfield

Style similarity

71.9 / 100

Progressive Pass RatePressure Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Leon Goretzka

Bayern Munich · Left Defensive Midfield

Style similarity

70.0 / 100

Carry Share Of ActionsProgressive Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Patrick Osterhage

Bochum · Center Defensive Midfield

Style similarity

69.4 / 100

Long Pass RatePositive Forward Distance Per 100 PassesExpected Completion 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.