Pass difficulty
87.9%
59th percentile among DEF players
n = 23 eligible peers · sample 125
Player profile
Werder Bremen · Right Center Back · DEF
Actual completion
88.0%
110 completed passes
Pass difficulty
87.9%
How difficult a pass was to complete.
Actual vs. expected passing
+0.1 pp
+0.1 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
87.9%
59th percentile among DEF players
n = 23 eligible peers · sample 125
Under-pressure pass rate
24.0%
100th percentile among DEF players
n = 23 eligible peers · sample 125
Progressive pass rate
11.2%
36th percentile among DEF players
n = 23 eligible peers · sample 125
Long-pass rate
19.2%
68th percentile among DEF players
n = 23 eligible peers · sample 125
Average forward distance
5.8 units
64th percentile among DEF players
n = 23 eligible peers · sample 125
Positive forward distance / 100 passes
926.9 units
73rd percentile among DEF players
n = 23 eligible peers · sample 125
Final-third entries / 100 passes
4.800
14th percentile among DEF players
n = 23 eligible peers · sample 125
Carry share of actions
44.5%
59th percentile among DEF players
n = 94 eligible peers · sample 211
Progressive carry rate
1.1%
36th percentile among DEF players
n = 87 eligible peers · sample 94
Progressive action rate
6.2%
24th percentile among DEF players
n = 94 eligible peers · sample 211
Under-pressure action rate
28.0%
97th percentile among DEF players
n = 94 eligible peers · sample 211
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
+0.1 pp
32nd percentile among DEF players
n = 23 eligible peers · sample 125
Under-pressure completion above expected
-1.3 pp
8th percentile among DEF players
n = 13 eligible peers · sample 30
Progressive completion above expected
-1.8 pp
Unavailable among DEF players
n = 17 eligible peers · sample 14
requires 20 progressive passes
Long-pass completion above expected
-4.7 pp
20th percentile among DEF players
n = 21 eligible peers · sample 24
Goals above expected
0.000
Unavailable among DEF players
n = 4 eligible peers · sample 0
requires 20 shots
Overall impact / 100 actions
0.056
81st percentile among DEF players
n = 94 eligible peers · sample 211
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
0.038
83rd percentile among DEF players
n = 94 eligible peers · sample 117
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.078
64th percentile among DEF players
n = 87 eligible peers · sample 94
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
0.002
51st percentile among DEF players
n = 94 eligible peers · sample 211
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
0.050
86th percentile among DEF players
n = 94 eligible peers · sample 211
Weak split-half stability in the current 34-match product cohort.
Playing style
Position-relative style among eligible DEF players.
Progressive-pass rate (lower)
Pass difficulty (higher)
Positive forward distance / 100 passes (lower)
Long-pass rate (lower)
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.
Passes under pressure
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
+0.056
Passing impact / 100 passes
+0.038
Carrying impact / 100 carries
+0.078
Progressive-action impact / 100 actions
+0.002
Under-pressure impact / 100 actions
+0.050
211 actions · 117 passes · 94 carries · 50.7% increased attacking value
Campos visualization
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
30 attempts
14 attempts
Limited sample — interpret this split cautiously.
24 attempts
Progressive-pass rate
11.2%
Pressure-pass rate
24.0%
Average forward distance
5.8 m
Positive forward distance / 100
926.9 m
Final-third entries / 100
4.8
Campos visualization
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–125 of 125 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
77.9 / 100
Sample support: Limited · 1 limiting matches
Observed: 2 vs 1 matches
Style similarity
77.0 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
77.0 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
74.2 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
69.4 / 100
Sample support: Limited · 1 limiting matches
Observed: 2 vs 1 matches
Style similarity
67.4 / 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.