FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Omar Haktab Traorè

FC Heidenheim · Right Back · DEF

Matches observed2
Pass attempts89
Limited sample

Actual completion

77.5%

69 completed passes

Pass difficulty

74.5%

How difficult a pass was to complete.

Actual vs. expected passing

+3.0 pp

+2.7 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.

Insufficient eligible position metrics for a meaningful radar.

Style

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

Pass difficulty

74.5%

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Under-pressure pass rate

9.0%

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Progressive pass rate

32.6%

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Long-pass rate

15.7%

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Average forward distance

6.4 units

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Positive forward distance / 100 passes

1015.7 units

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Final-third entries / 100 passes

14.607

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Carry share of actions

40.7%

18th percentile among DEF players

n = 94 eligible peers · sample 140

Progressive carry rate

5.3%

81st percentile among DEF players

n = 87 eligible peers · sample 57

Progressive action rate

21.4%

96th percentile among DEF players

n = 94 eligible peers · sample 140

Under-pressure action rate

20.0%

76th percentile among DEF players

n = 94 eligible peers · sample 140

Shots / observed match

0.50 / match

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

xG / shot

3.6%

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

+3.0 pp

Unavailable among DEF players

n = 23 eligible peers · sample 89

requires 100 passes

Under-pressure completion above expected

+12.7 pp

Unavailable among DEF players

n = 13 eligible peers · sample 8

requires 20 pressure passes

Progressive completion above expected

+8.0 pp

81st percentile among DEF players

n = 17 eligible peers · sample 29

Long-pass completion above expected

+0.9 pp

Unavailable among DEF players

n = 21 eligible peers · sample 14

requires 20 long passes

Goals above expected

-0.036

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

0.015

49th percentile among DEF players

n = 94 eligible peers · sample 140

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

Passing impact / 100 passes

-0.059

40th percentile among DEF players

n = 94 eligible peers · sample 83

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

Carrying impact / 100 carries

0.122

80th percentile among DEF players

n = 87 eligible peers · sample 57

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

Progressive-action impact / 100 actions

0.040

71st percentile among DEF players

n = 94 eligible peers · sample 140

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

Under-pressure impact / 100 actions

0.026

60th percentile among DEF players

n = 94 eligible peers · sample 140

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

Playing style

Direct Progressor

Position-relative style among eligible DEF players.

Style separation0.505

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty-1.60 z
Under-pressure pass rate-0.60 z
Progressive-pass rate+2.26 z
Long-pass rate-0.03 z
Positive forward distance / 100 passes+0.57 z
Carry share of actions-1.17 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 closer1.811
CloserFarther

Strongest alignment

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

Largest difference

Progressive 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

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

+0.015

Passing impact / 100 passes

-0.059

Carrying impact / 100 carries

+0.122

Progressive-action impact / 100 actions

+0.040

Under-pressure impact / 100 actions

+0.026

140 actions · 83 passes · 57 carries · 56.4% 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

8 attempts

Limited sample
Actual
62.5%
Pass difficulty
49.8%
Actual vs. expected passing
+12.7 pp

Limited sample — interpret this split cautiously.

Progressive passing

29 attempts

Reliable sample
Actual
58.6%
Pass difficulty
50.7%
Actual vs. expected passing
+8.0 pp

Long passing

14 attempts

Limited sample
Actual
57.1%
Pass difficulty
56.2%
Actual vs. expected passing

Progression profile

Progressive-pass rate

32.6%

Pressure-pass rate

9.0%

Average forward distance

6.4 m

Positive forward distance / 100

1015.7 m

Final-third entries / 100

14.6

Campos visualization

Pass map

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

Showing 1–89 of 89 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
79.0%
Outcome
Completed
Attacking impact
0.0101
Value before
0.0140
Value after
0.0241
Length
19.1 m
Context
Progressive
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

Kiliann Sildillia

Freiburg · Right Back

Style similarity

74.5 / 100

Positive Forward Distance Per 100 PassesLong Pass RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Franck Honorat

Borussia Mönchengladbach · Right Wing Back

Style similarity

71.8 / 100

+0.9 pp

Limited sample — interpret this split cautiously.

Pressure Pass RateProgressive Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Anthony Caci

FSV Mainz 05 · Left Wing Back

Style similarity

65.8 / 100

Carry Share Of ActionsPositive Forward Distance Per 100 PassesExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

David Raum

RB Leipzig · Left Back

Style similarity

65.0 / 100

Carry Share Of ActionsLong Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Matthias Bader

Darmstadt 98 · Right Back

Style similarity

61.9 / 100

Positive Forward Distance Per 100 PassesExpected Completion RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Marius Wolf

Borussia Dortmund · Right Back

Style similarity

61.9 / 100

Progressive Pass RatePressure Pass RatePositive Forward Distance Per 100 Passes

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.