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.
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
+0.041
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.