Pass difficulty
89.5%
68th percentile among DEF players
n = 23 eligible peers · sample 127
Player profile
Hoffenheim · Center Back · DEF
Actual completion
90.6%
115 completed passes
Pass difficulty
89.5%
How difficult a pass was to complete.
Actual vs. expected passing
+1.1 pp
+1.4 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
89.5%
68th percentile among DEF players
n = 23 eligible peers · sample 127
Under-pressure pass rate
10.2%
36th percentile among DEF players
n = 23 eligible peers · sample 127
Progressive pass rate
14.2%
59th percentile among DEF players
n = 23 eligible peers · sample 127
Long-pass rate
35.4%
100th percentile among DEF players
n = 23 eligible peers · sample 127
Average forward distance
10.6 units
95th percentile among DEF players
n = 23 eligible peers · sample 127
Positive forward distance / 100 passes
1238.1 units
95th percentile among DEF players
n = 23 eligible peers · sample 127
Final-third entries / 100 passes
7.874
41st percentile among DEF players
n = 23 eligible peers · sample 127
Carry share of actions
43.5%
39th percentile among DEF players
n = 94 eligible peers · sample 216
Progressive carry rate
2.1%
48th percentile among DEF players
n = 87 eligible peers · sample 94
Progressive action rate
8.3%
44th percentile among DEF players
n = 94 eligible peers · sample 216
Under-pressure action rate
12.5%
34th percentile among DEF players
n = 94 eligible peers · sample 216
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
+1.1 pp
55th percentile among DEF players
n = 23 eligible peers · sample 127
Under-pressure completion above expected
+13.7 pp
Unavailable among DEF players
n = 13 eligible peers · sample 13
requires 20 pressure passes
Progressive completion above expected
-5.3 pp
Unavailable among DEF players
n = 17 eligible peers · sample 18
requires 20 progressive passes
Long-pass completion above expected
-0.0 pp
70th percentile among DEF players
n = 21 eligible peers · sample 45
Goals above expected
0.000
Unavailable among DEF players
n = 4 eligible peers · sample 0
requires 20 shots
Overall impact / 100 actions
0.042
74th percentile among DEF players
n = 94 eligible peers · sample 216
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
0.040
84th percentile among DEF players
n = 94 eligible peers · sample 122
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.046
31st percentile among DEF players
n = 87 eligible peers · sample 94
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
0.005
57th percentile among DEF players
n = 94 eligible peers · sample 216
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
0.034
76th percentile among DEF players
n = 94 eligible peers · sample 216
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
+0.042
Passing impact / 100 passes
+0.040
Carrying impact / 100 carries
+0.046
Progressive-action impact / 100 actions
+0.005
Under-pressure impact / 100 actions
+0.034
216 actions · 122 passes · 94 carries · 59.3% increased attacking value
Campos visualization
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
13 attempts
Limited sample — interpret this split cautiously.
18 attempts
Limited sample — interpret this split cautiously.
45 attempts
Progressive-pass rate
14.2%
Pressure-pass rate
10.2%
Average forward distance
10.6 m
Positive forward distance / 100
1238.1 m
Final-third entries / 100
7.9
Campos visualization
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–127 of 127 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
65.7 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
62.7 / 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
58.8 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
56.5 / 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.