Pass difficulty
76.7%
0th percentile among DEF players
n = 23 eligible peers · sample 137
Player profile
RB Leipzig · Left Back · DEF
Actual completion
73.0%
100 completed passes
Pass difficulty
76.7%
How difficult a pass was to complete.
Actual vs. expected passing
-3.7 pp
-5.1 completions vs model expectation
Actual pass completion compared with the model's expected completion.
Player intelligence
DEF context · Each percentile is an empirical rank among eligible players in the same broad position group. Percentiles are not ratings.
Tendencies describe what a player attempts; higher is not automatically better.
Pass difficulty
76.7%
0th percentile among DEF players
n = 23 eligible peers · sample 137
Under-pressure pass rate
5.1%
5th percentile among DEF players
n = 23 eligible peers · sample 137
Progressive pass rate
23.4%
100th percentile among DEF players
n = 23 eligible peers · sample 137
Long-pass rate
17.5%
64th percentile among DEF players
n = 23 eligible peers · sample 137
Average forward distance
2.3 units
27th percentile among DEF players
n = 23 eligible peers · sample 137
Positive forward distance / 100 passes
718.2 units
27th percentile among DEF players
n = 23 eligible peers · sample 137
Final-third entries / 100 passes
6.569
32nd percentile among DEF players
n = 23 eligible peers · sample 137
Carry share of actions
40.9%
19th percentile among DEF players
n = 94 eligible peers · sample 225
Progressive carry rate
1.1%
37th percentile among DEF players
n = 87 eligible peers · sample 92
Progressive action rate
14.7%
83rd percentile among DEF players
n = 94 eligible peers · sample 225
Under-pressure action rate
12.0%
32nd percentile among DEF players
n = 94 eligible peers · sample 225
Shots / observed match
0.00 / match
Unavailable among DEF players
n = 4 eligible peers · sample 0
requires 20 shots
xG / shot
—
Unavailable among DEF players
n = 4 eligible peers · sample 0
metric unavailable
Observed execution or model-derived output relative to opportunities.
Actual vs. expected passing
-3.7 pp
5th percentile among DEF players
n = 23 eligible peers · sample 137
Under-pressure completion above expected
-11.9 pp
Unavailable among DEF players
n = 13 eligible peers · sample 7
requires 20 pressure passes
Progressive completion above expected
+5.9 pp
69th percentile among DEF players
n = 17 eligible peers · sample 32
Long-pass completion above expected
+8.0 pp
100th percentile among DEF players
n = 21 eligible peers · sample 24
Goals above expected
0.000
Unavailable among DEF players
n = 4 eligible peers · sample 0
requires 20 shots
Overall impact / 100 actions
0.071
86th percentile among DEF players
n = 94 eligible peers · sample 225
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
0.090
92nd percentile among DEF players
n = 94 eligible peers · sample 133
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.043
27th percentile among DEF players
n = 87 eligible peers · sample 92
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
0.126
89th percentile among DEF players
n = 94 eligible peers · sample 225
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
0.002
23rd percentile among DEF players
n = 94 eligible peers · sample 225
Weak split-half stability in the current 34-match product cohort.
Playing style
Position-relative style among eligible DEF players.
Progressive-pass rate (higher)
Pass difficulty (lower)
Positive forward distance / 100 passes (higher)
Long-pass rate (higher)
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
How closely a player's playing style matches this role. Compared with Bayer Leverkusen's observed DEF role.
Carry Share Of Actions
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.
Attacking impact
Measures how much each pass or carry changed the expected attacking value of a possession. Positive values improved the attack; negative values reduced it.
Overall impact / 100 actions
+0.071
Passing impact / 100 passes
+0.090
Carrying impact / 100 carries
+0.043
Progressive-action impact / 100 actions
+0.126
Under-pressure impact / 100 actions
+0.002
225 actions · 133 passes · 92 carries · 48.4% increased attacking value
Campos visualization
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
7 attempts
Limited sample — interpret this split cautiously.
32 attempts
24 attempts
Progressive-pass rate
23.4%
Pressure-pass rate
5.1%
Average forward distance
2.3 m
Positive forward distance / 100
718.2 m
Final-third entries / 100
6.6
Campos visualization
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–137 of 137 passes
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.
Style similarity
75.1 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
68.8 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
66.9 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
65.8 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
65.0 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
62.6 / 100
Sample support: Limited · 1 limiting matches
Observed: 2 vs 1 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.