FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Benjamin Henrichs

RB Leipzig · Right Back · DEF

Matches observed2
Pass attempts69
Limited sample

Actual completion

78.3%

54 completed passes

Pass difficulty

78.9%

How difficult a pass was to complete.

Actual vs. expected passing

-0.6 pp

-0.4 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

78.9%

Unavailable among DEF players

n = 23 eligible peers · sample 69

requires 100 passes

Under-pressure pass rate

5.8%

Unavailable among DEF players

n = 23 eligible peers · sample 69

requires 100 passes

Progressive pass rate

26.1%

Unavailable among DEF players

n = 23 eligible peers · sample 69

requires 100 passes

Long-pass rate

18.8%

Unavailable among DEF players

n = 23 eligible peers · sample 69

requires 100 passes

Average forward distance

5.5 units

Unavailable among DEF players

n = 23 eligible peers · sample 69

requires 100 passes

Positive forward distance / 100 passes

1005.5 units

Unavailable among DEF players

n = 23 eligible peers · sample 69

requires 100 passes

Final-third entries / 100 passes

10.145

Unavailable among DEF players

n = 23 eligible peers · sample 69

requires 100 passes

Carry share of actions

46.9%

88th percentile among DEF players

n = 94 eligible peers · sample 128

Progressive carry rate

5.0%

78th percentile among DEF players

n = 87 eligible peers · sample 60

Progressive action rate

16.4%

87th percentile among DEF players

n = 94 eligible peers · sample 128

Under-pressure action rate

15.6%

49th percentile among DEF players

n = 94 eligible peers · sample 128

Shots / observed match

3.00 / match

Unavailable among DEF players

n = 4 eligible peers · sample 6

requires 20 shots

xG / shot

6.4%

Unavailable among DEF players

n = 4 eligible peers · sample 6

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

-0.6 pp

Unavailable among DEF players

n = 23 eligible peers · sample 69

requires 100 passes

Under-pressure completion above expected

-23.1 pp

Unavailable among DEF players

n = 13 eligible peers · sample 4

requires 20 pressure passes

Progressive completion above expected

-4.4 pp

Unavailable among DEF players

n = 17 eligible peers · sample 18

requires 20 progressive passes

Long-pass completion above expected

+7.9 pp

Unavailable among DEF players

n = 21 eligible peers · sample 13

requires 20 long passes

Goals above expected

-0.384

Unavailable among DEF players

n = 4 eligible peers · sample 6

requires 20 shots

Overall impact / 100 actions

-0.033

17th percentile among DEF players

n = 94 eligible peers · sample 128

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

Passing impact / 100 passes

-0.253

8th percentile among DEF players

n = 94 eligible peers · sample 68

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

Carrying impact / 100 carries

0.215

94th percentile among DEF players

n = 87 eligible peers · sample 60

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

Progressive-action impact / 100 actions

-0.041

15th percentile among DEF players

n = 94 eligible peers · sample 128

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

Under-pressure impact / 100 actions

0.069

90th percentile among DEF players

n = 94 eligible peers · sample 128

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

Playing style

Direct Progressor

Position-relative style among eligible DEF players.

Style separation0.407

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty-0.85 z
Under-pressure pass rate-1.18 z
Progressive-pass rate+1.36 z
Long-pass rate+0.44 z
Positive forward distance / 100 passes+0.52 z
Carry share of actions+1.05 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 closer1.336
CloserFarther

Strongest alignment

  • Carry Share Of Actions
  • Pressure Pass Rate
  • Long Pass Rate

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

6

2 matches observed

Goals

0

Total xG

0.4

Goals above expected

-0.4

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.

Shots6
Goals0
xG0.38
xG0.00 – 1.00
Foot
Header
Corner
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

-0.033

Passing impact / 100 passes

-0.253

Carrying impact / 100 carries

+0.215

Progressive-action impact / 100 actions

-0.041

Under-pressure impact / 100 actions

+0.069

128 actions · 68 passes · 60 carries · 54.7% 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

4 attempts

Limited sample
Actual
50.0%
Pass difficulty
73.1%
Actual vs. expected passing
-23.1 pp

Limited sample — interpret this split cautiously.

Progressive passing

18 attempts

Limited sample
Actual
38.9%
Pass difficulty
43.3%
Actual vs. expected passing
-4.4 pp

Limited sample — interpret this split cautiously.

Long passing

13 attempts

Limited sample
Actual
46.2%
Pass difficulty
38.2%

Progression profile

Progressive-pass rate

26.1%

Pressure-pass rate

5.8%

Average forward distance

5.5 m

Positive forward distance / 100

1005.5 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 1–69 of 69 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
99.5%
Outcome
Completed
Attacking impact
-0.0001
Value before
0.0031
Value after
0.0031
Length
20.2 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

Niels Nkounkou

Eintracht Frankfurt · Left Wing Back

Style similarity

78.6 / 100

Long Pass RateCarry Share Of ActionsPositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Joseph Scally

Borussia Mönchengladbach · Right Center Back

Style similarity

76.7 / 100

Actual vs. expected passing
+7.9 pp

Limited sample — interpret this split cautiously.

Pressure Pass RateProgressive Pass RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Hiroki Ito

VfB Stuttgart · Left Center Back

Style similarity

71.8 / 100

Positive Forward Distance Per 100 PassesExpected Completion RateProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#4 · Same position group

Kiliann Sildillia

Freiburg · Right Back

Style similarity

67.3 / 100

Positive Forward Distance Per 100 PassesLong Pass RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Matthias Bader

Darmstadt 98 · Right Back

Style similarity

66.9 / 100

Expected Completion RateLong Pass RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Jeffrey Gouweleeuw

Augsburg · Right Center Back

Style similarity

65.6 / 100

Expected Completion RateCarry Share Of ActionsPositive 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.