FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Mohamed Simakan

RB Leipzig · Right Center Back · DEF

Matches observed2
Pass attempts129
Reliable sample

Actual completion

89.9%

116 completed passes

Pass difficulty

89.8%

How difficult a pass was to complete.

Actual vs. expected passing

+0.2 pp

+0.2 completions vs model expectation

Actual pass completion compared with the model's expected completion.

Player intelligence

Position profile

DEF 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

89.8%

73rd percentile among DEF players

n = 23 eligible peers · sample 129

Under-pressure pass rate

5.4%

9th percentile among DEF players

n = 23 eligible peers · sample 129

Progressive pass rate

11.6%

41st percentile among DEF players

n = 23 eligible peers · sample 129

Long-pass rate

19.4%

77th percentile among DEF players

n = 23 eligible peers · sample 129

Average forward distance

5.4 units

55th percentile among DEF players

n = 23 eligible peers · sample 129

Positive forward distance / 100 passes

858.0 units

59th percentile among DEF players

n = 23 eligible peers · sample 129

Final-third entries / 100 passes

10.078

73rd percentile among DEF players

n = 23 eligible peers · sample 129

Carry share of actions

44.9%

66th percentile among DEF players

n = 94 eligible peers · sample 227

Progressive carry rate

1.0%

35th percentile among DEF players

n = 87 eligible peers · sample 102

Progressive action rate

6.6%

30th percentile among DEF players

n = 94 eligible peers · sample 227

Under-pressure action rate

5.3%

8th percentile among DEF players

n = 94 eligible peers · sample 227

Shots / observed match

1.00 / match

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

xG / shot

5.3%

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

+0.2 pp

36th percentile among DEF players

n = 23 eligible peers · sample 129

Under-pressure completion above expected

+29.2 pp

Unavailable among DEF players

n = 13 eligible peers · sample 7

requires 20 pressure passes

Progressive completion above expected

+3.1 pp

Unavailable among DEF players

n = 17 eligible peers · sample 15

requires 20 progressive passes

Long-pass completion above expected

-7.7 pp

0th percentile among DEF players

n = 21 eligible peers · sample 25

Goals above expected

-0.106

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

Overall impact / 100 actions

0.041

71st percentile among DEF players

n = 94 eligible peers · sample 227

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

Passing impact / 100 passes

0.033

82nd percentile among DEF players

n = 94 eligible peers · sample 125

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

Carrying impact / 100 carries

0.051

35th percentile among DEF players

n = 87 eligible peers · sample 102

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

Progressive-action impact / 100 actions

0.039

70th percentile among DEF players

n = 94 eligible peers · sample 227

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

Under-pressure impact / 100 actions

0.077

94th percentile among DEF players

n = 94 eligible peers · sample 227

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

Playing style

Safe Circulator

Position-relative style among eligible DEF players.

Style separation0.305

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+1.02 z
Under-pressure pass rate-1.24 z
Progressive-pass rate-0.63 z
Long-pass rate+0.52 z
Positive forward distance / 100 passes-0.08 z
Carry share of actions+0.35 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

DEF role

How closely a player's playing style matches this role. Compared with Bayer Leverkusen's observed DEF role.

Role distance · lower is closer0.827
CloserFarther

Strongest alignment

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

Largest difference

Long Pass Rate

limited sampleObserved across 2 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

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
xG0.11
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

+0.041

Passing impact / 100 passes

+0.033

Carrying impact / 100 carries

+0.051

Progressive-action impact / 100 actions

+0.039

Under-pressure impact / 100 actions

+0.077

227 actions · 125 passes · 102 carries · 58.6% 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

7 attempts

Limited sample
Actual
100.0%
Pass difficulty
70.8%
Actual vs. expected passing
+29.2 pp

Limited sample — interpret this split cautiously.

Progressive passing

15 attempts

Limited sample
Actual
53.3%
Pass difficulty
50.2%
Actual vs. expected passing
+3.1 pp

Limited sample — interpret this split cautiously.

Long passing

25 attempts

Reliable sample
Actual
72.0%
Pass difficulty
79.7%

Progression profile

Progressive-pass rate

11.6%

Pressure-pass rate

5.4%

Average forward distance

5.4 m

Positive forward distance / 100

858.0 m

Final-third entries / 100

10.1

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
99.4%
Outcome
Completed
Attacking impact
0.0004
Value before
0.0031
Value after
0.0034
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

Maxence Lacroix

Wolfsburg · Left Center Back

Style similarity

77.6 / 100

Progressive Pass RateLong Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Dan-Axel Zagadou

VfB Stuttgart · Left Center Back

Style similarity

76.8 / 100

Actual vs. expected passing
-7.7 pp
Pressure Pass RateProgressive Pass RateExpected Completion Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#3 · Same position group

Willi Orban

RB Leipzig · Left Center Back

Style similarity

75.6 / 100

Carry Share Of ActionsProgressive Pass RateExpected Completion Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#4 · Same position group

Waldemar Anton

VfB Stuttgart · Right Center Back

Style similarity

74.2 / 100

Progressive Pass RatePressure Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Manuel Gulde

Freiburg · Left Center Back

Style similarity

71.8 / 100

Carry Share Of ActionsProgressive Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Min Jae Kim

Bayern Munich · Left Center Back

Style similarity

71.5 / 100

Positive Forward Distance Per 100 PassesExpected Completion RateCarry Share Of Actions

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.