Pass difficulty
84.6%
27th percentile among DEF players
n = 23 eligible peers · sample 115
Player profile
Borussia Dortmund · Left Center Back · DEF
Actual completion
85.2%
98 completed passes
Pass difficulty
84.6%
How difficult a pass was to complete.
Actual vs. expected passing
+0.6 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
84.6%
27th percentile among DEF players
n = 23 eligible peers · sample 115
Under-pressure pass rate
13.9%
77th percentile among DEF players
n = 23 eligible peers · sample 115
Progressive pass rate
14.8%
68th percentile among DEF players
n = 23 eligible peers · sample 115
Long-pass rate
22.6%
91st percentile among DEF players
n = 23 eligible peers · sample 115
Average forward distance
7.5 units
77th percentile among DEF players
n = 23 eligible peers · sample 115
Positive forward distance / 100 passes
1111.0 units
91st percentile among DEF players
n = 23 eligible peers · sample 115
Final-third entries / 100 passes
10.435
77th percentile among DEF players
n = 23 eligible peers · sample 115
Carry share of actions
40.0%
13th percentile among DEF players
n = 94 eligible peers · sample 185
Progressive carry rate
4.1%
73rd percentile among DEF players
n = 87 eligible peers · sample 74
Progressive action rate
10.8%
60th percentile among DEF players
n = 94 eligible peers · sample 185
Under-pressure action rate
17.3%
58th percentile among DEF players
n = 94 eligible peers · sample 185
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
+0.6 pp
45th percentile among DEF players
n = 23 eligible peers · sample 115
Under-pressure completion above expected
-2.1 pp
Unavailable among DEF players
n = 13 eligible peers · sample 16
requires 20 pressure passes
Progressive completion above expected
+5.5 pp
Unavailable among DEF players
n = 17 eligible peers · sample 17
requires 20 progressive passes
Long-pass completion above expected
+3.9 pp
85th percentile among DEF players
n = 21 eligible peers · sample 26
Goals above expected
0.000
Unavailable among DEF players
n = 4 eligible peers · sample 0
requires 20 shots
Overall impact / 100 actions
0.041
72nd percentile among DEF players
n = 94 eligible peers · sample 185
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
0.020
73rd percentile among DEF players
n = 94 eligible peers · sample 111
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.072
60th percentile among DEF players
n = 87 eligible peers · sample 74
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
0.019
61st percentile among DEF players
n = 94 eligible peers · sample 185
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
0.030
70th percentile among DEF players
n = 94 eligible peers · sample 185
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.
Carry involvement
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
+0.041
Passing impact / 100 passes
+0.020
Carrying impact / 100 carries
+0.072
Progressive-action impact / 100 actions
+0.019
Under-pressure impact / 100 actions
+0.030
185 actions · 111 passes · 74 carries · 57.8% increased attacking value
Campos visualization
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
16 attempts
Limited sample — interpret this split cautiously.
17 attempts
Limited sample — interpret this split cautiously.
26 attempts
Progressive-pass rate
14.8%
Pressure-pass rate
13.9%
Average forward distance
7.5 m
Positive forward distance / 100
1111.0 m
Final-third entries / 100
10.4
Campos visualization
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–115 of 115 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
81.8 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
75.8 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
74.1 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
73.0 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
72.8 / 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
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.