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.
Role Fit
How closely a player's playing style matches this role. Compared with Bayer Leverkusen's observed DEF role.
Lower distance means closer stylistic resemblance.
Long-pass rate
Role Fit compares observed playing style. It does not predict player quality, 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.