Pass difficulty
86.5%
41st percentile among DEF players
n = 23 eligible peers · sample 119
Player profile
Bayern Munich · Center Back · DEF
Actual completion
84.0%
100 completed passes
Pass difficulty
86.5%
How difficult a pass was to complete.
Actual vs. expected passing
-2.5 pp
-3.0 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
86.5%
41st percentile among DEF players
n = 23 eligible peers · sample 119
Under-pressure pass rate
10.1%
32nd percentile among DEF players
n = 23 eligible peers · sample 119
Progressive pass rate
11.8%
45th percentile among DEF players
n = 23 eligible peers · sample 119
Long-pass rate
19.3%
73rd percentile among DEF players
n = 23 eligible peers · sample 119
Average forward distance
11.6 units
100th percentile among DEF players
n = 23 eligible peers · sample 119
Positive forward distance / 100 passes
1286.1 units
100th percentile among DEF players
n = 23 eligible peers · sample 119
Final-third entries / 100 passes
12.605
95th percentile among DEF players
n = 23 eligible peers · sample 119
Carry share of actions
45.9%
75th percentile among DEF players
n = 94 eligible peers · sample 205
Progressive carry rate
3.2%
62nd percentile among DEF players
n = 87 eligible peers · sample 94
Progressive action rate
8.3%
43rd percentile among DEF players
n = 94 eligible peers · sample 205
Under-pressure action rate
7.3%
13th percentile among DEF players
n = 94 eligible peers · sample 205
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
-2.5 pp
9th percentile among DEF players
n = 23 eligible peers · sample 119
Under-pressure completion above expected
-10.6 pp
Unavailable among DEF players
n = 13 eligible peers · sample 12
requires 20 pressure passes
Progressive completion above expected
-7.7 pp
Unavailable among DEF players
n = 17 eligible peers · sample 14
requires 20 progressive passes
Long-pass completion above expected
-5.4 pp
15th percentile among DEF players
n = 21 eligible peers · sample 23
Goals above expected
0.000
Unavailable among DEF players
n = 4 eligible peers · sample 0
requires 20 shots
Overall impact / 100 actions
0.020
55th percentile among DEF players
n = 94 eligible peers · sample 205
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
-0.017
59th 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
0.064
50th percentile among DEF players
n = 87 eligible peers · sample 94
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
-0.038
19th percentile among DEF players
n = 94 eligible peers · sample 205
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
0.017
49th percentile among DEF players
n = 94 eligible peers · sample 205
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.
Positive Forward Distance Per 100 Passes
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
+0.020
Passing impact / 100 passes
-0.017
Carrying impact / 100 carries
+0.064
Progressive-action impact / 100 actions
-0.038
Under-pressure impact / 100 actions
+0.017
205 actions · 111 passes · 94 carries · 67.8% increased attacking value
Campos visualization
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
12 attempts
Limited sample — interpret this split cautiously.
14 attempts
Limited sample — interpret this split cautiously.
23 attempts
Progressive-pass rate
11.8%
Pressure-pass rate
10.1%
Average forward distance
11.6 m
Positive forward distance / 100
1286.1 m
Final-third entries / 100
12.6
Campos visualization
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–119 of 119 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 1 observed match, so nearest-neighbor rankings may be less stable.
Style similarity
78.6 / 100
Sample support: Limited · 1 limiting matches
Observed: 1 vs 2 matches
Style similarity
75.9 / 100
Sample support: Limited · 1 limiting matches
Observed: 1 vs 1 matches
Style similarity
74.9 / 100
Sample support: Limited · 1 limiting matches
Observed: 1 vs 2 matches
Style similarity
74.5 / 100
Sample support: Limited · 1 limiting matches
Observed: 1 vs 2 matches
Style similarity
73.9 / 100
Sample support: Limited · 1 limiting matches
Observed: 1 vs 2 matches
Style similarity
71.1 / 100
Sample support: Limited · 1 limiting matches
Observed: 1 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.