Pass difficulty
90.8%
86th percentile among DEF players
n = 23 eligible peers · sample 117
Player profile
Eintracht Frankfurt · Right Center Back · DEF
Actual completion
89.7%
105 completed passes
Pass difficulty
90.8%
How difficult a pass was to complete.
Actual vs. expected passing
-1.0 pp
-1.2 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
90.8%
86th percentile among DEF players
n = 23 eligible peers · sample 117
Under-pressure pass rate
17.1%
91st percentile among DEF players
n = 23 eligible peers · sample 117
Progressive pass rate
8.5%
18th percentile among DEF players
n = 23 eligible peers · sample 117
Long-pass rate
15.4%
59th percentile among DEF players
n = 23 eligible peers · sample 117
Average forward distance
5.3 units
50th percentile among DEF players
n = 23 eligible peers · sample 117
Positive forward distance / 100 passes
778.7 units
55th percentile among DEF players
n = 23 eligible peers · sample 117
Final-third entries / 100 passes
5.983
23rd percentile among DEF players
n = 23 eligible peers · sample 117
Carry share of actions
46.7%
86th percentile among DEF players
n = 94 eligible peers · sample 210
Progressive carry rate
0.0%
16th percentile among DEF players
n = 87 eligible peers · sample 98
Progressive action rate
3.8%
8th percentile among DEF players
n = 94 eligible peers · sample 210
Under-pressure action rate
16.7%
53rd percentile among DEF players
n = 94 eligible peers · sample 210
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
-1.0 pp
18th percentile among DEF players
n = 23 eligible peers · sample 117
Under-pressure completion above expected
+3.7 pp
67th percentile among DEF players
n = 13 eligible peers · sample 20
Progressive completion above expected
-25.8 pp
Unavailable among DEF players
n = 17 eligible peers · sample 10
requires 20 progressive passes
Long-pass completion above expected
-15.5 pp
Unavailable among DEF players
n = 21 eligible peers · sample 18
requires 20 long passes
Goals above expected
0.000
Unavailable among DEF players
n = 4 eligible peers · sample 0
requires 20 shots
Overall impact / 100 actions
-0.009
30th percentile among DEF players
n = 94 eligible peers · sample 210
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
-0.062
34th percentile among DEF players
n = 94 eligible peers · sample 112
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.053
38th percentile among DEF players
n = 87 eligible peers · sample 98
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
-0.043
12th percentile among DEF players
n = 94 eligible peers · sample 210
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
0.032
75th percentile among DEF players
n = 94 eligible peers · sample 210
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.
Leverkusen Role Fit
How closely a player's playing style matches this role. Compared with Bayer Leverkusen's observed DEF role.
Pressure Pass Rate
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
-0.009
Passing impact / 100 passes
-0.062
Carrying impact / 100 carries
+0.053
Progressive-action impact / 100 actions
-0.043
Under-pressure impact / 100 actions
+0.032
210 actions · 112 passes · 98 carries · 58.6% increased attacking value
Campos visualization
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
20 attempts
10 attempts
Limited sample — interpret this split cautiously.
18 attempts
Progressive-pass rate
8.5%
Pressure-pass rate
17.1%
Average forward distance
5.3 m
Positive forward distance / 100
778.7 m
Final-third entries / 100
6.0
Campos visualization
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–117 of 117 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
77.8 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
77.0 / 100
Limited sample — interpret this split cautiously.
Sample support: Limited · 1 limiting matches
Observed: 2 vs 1 matches
Style similarity
75.9 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 20 matches
Style similarity
74.9 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 27 matches
Style similarity
73.0 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 21 matches
Style similarity
72.1 / 100
Sample support: Limited · 1 limiting matches
Observed: 2 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.