Pass difficulty
84.4%
23rd percentile among DEF players
n = 23 eligible peers · sample 104
Player profile
Borussia Dortmund · Right Center Back · DEF
Actual completion
83.7%
87 completed passes
Pass difficulty
84.4%
How difficult a pass was to complete.
Actual vs. expected passing
-0.7 pp
-0.7 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
84.4%
23rd percentile among DEF players
n = 23 eligible peers · sample 104
Under-pressure pass rate
7.7%
14th percentile among DEF players
n = 23 eligible peers · sample 104
Progressive pass rate
14.4%
64th percentile among DEF players
n = 23 eligible peers · sample 104
Long-pass rate
32.7%
95th percentile among DEF players
n = 23 eligible peers · sample 104
Average forward distance
7.8 units
86th percentile among DEF players
n = 23 eligible peers · sample 104
Positive forward distance / 100 passes
1056.1 units
82nd percentile among DEF players
n = 23 eligible peers · sample 104
Final-third entries / 100 passes
9.615
64th percentile among DEF players
n = 23 eligible peers · sample 104
Carry share of actions
42.9%
28th percentile among DEF players
n = 94 eligible peers · sample 170
Progressive carry rate
1.4%
40th percentile among DEF players
n = 87 eligible peers · sample 73
Progressive action rate
8.8%
45th percentile among DEF players
n = 94 eligible peers · sample 170
Under-pressure action rate
11.8%
30th percentile among DEF players
n = 94 eligible peers · sample 170
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
-0.7 pp
23rd percentile among DEF players
n = 23 eligible peers · sample 104
Under-pressure completion above expected
+0.2 pp
Unavailable among DEF players
n = 13 eligible peers · sample 8
requires 20 pressure passes
Progressive completion above expected
-12.2 pp
Unavailable among DEF players
n = 17 eligible peers · sample 15
requires 20 progressive passes
Long-pass completion above expected
-4.2 pp
35th percentile among DEF players
n = 21 eligible peers · sample 34
Goals above expected
0.000
Unavailable among DEF players
n = 4 eligible peers · sample 0
requires 20 shots
Overall impact / 100 actions
-0.026
20th percentile among DEF players
n = 94 eligible peers · sample 170
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
-0.085
28th percentile among DEF players
n = 94 eligible peers · sample 97
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.053
37th percentile among DEF players
n = 87 eligible peers · sample 73
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
-0.048
11th percentile among DEF players
n = 94 eligible peers · sample 170
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
0.007
30th percentile among DEF players
n = 94 eligible peers · sample 170
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.
Long Pass Rate
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
-0.026
Passing impact / 100 passes
-0.085
Carrying impact / 100 carries
+0.053
Progressive-action impact / 100 actions
-0.048
Under-pressure impact / 100 actions
+0.007
170 actions · 97 passes · 73 carries · 57.1% increased attacking value
Campos visualization
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
8 attempts
Limited sample — interpret this split cautiously.
15 attempts
Limited sample — interpret this split cautiously.
34 attempts
Progressive-pass rate
14.4%
Pressure-pass rate
7.7%
Average forward distance
7.8 m
Positive forward distance / 100
1056.1 m
Final-third entries / 100
9.6
Campos visualization
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–104 of 104 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
74.7 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
70.4 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
67.2 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
65.1 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
61.9 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
61.5 / 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.