Pass difficulty
89.6%
75th percentile among MID players
n = 13 eligible peers · sample 1501
Player profile
Bayer Leverkusen · Right Defensive Midfield · MID
Actual completion
90.5%
1,359 completed passes
Pass difficulty
89.6%
How difficult a pass was to complete.
Actual vs. expected passing
+0.9 pp
+13.4 completions vs model expectation
Actual pass completion compared with the model's expected completion.
Player intelligence
MID 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
89.6%
75th percentile among MID players
n = 13 eligible peers · sample 1501
Under-pressure pass rate
12.7%
25th percentile among MID players
n = 13 eligible peers · sample 1501
Progressive pass rate
9.8%
42nd percentile among MID players
n = 13 eligible peers · sample 1501
Long-pass rate
11.0%
58th percentile among MID players
n = 13 eligible peers · sample 1501
Average forward distance
3.9 units
100th percentile among MID players
n = 13 eligible peers · sample 1501
Positive forward distance / 100 passes
666.4 units
83rd percentile among MID players
n = 13 eligible peers · sample 1501
Final-third entries / 100 passes
9.727
75th percentile among MID players
n = 13 eligible peers · sample 1501
Carry share of actions
43.7%
30th percentile among MID players
n = 61 eligible peers · sample 2571
Progressive carry rate
1.5%
29th percentile among MID players
n = 66 eligible peers · sample 1124
Progressive action rate
5.9%
35th percentile among MID players
n = 61 eligible peers · sample 2571
Under-pressure action rate
15.4%
10th percentile among MID players
n = 61 eligible peers · sample 2571
Shots / observed match
0.82 / match
Unavailable among MID players
n = 5 eligible peers · sample 23
requires 10 eligible position peers
xG / shot
8.2%
Unavailable among MID players
n = 5 eligible peers · sample 23
requires 10 eligible position peers
Observed execution or model-derived output relative to opportunities.
Actual vs. expected passing
+0.9 pp
75th percentile among MID players
n = 13 eligible peers · sample 1501
Under-pressure completion above expected
+0.0 pp
44th percentile among MID players
n = 10 eligible peers · sample 190
Progressive completion above expected
-0.8 pp
Unavailable among MID players
n = 9 eligible peers · sample 147
requires 10 eligible position peers
Long-pass completion above expected
-2.3 pp
Unavailable among MID players
n = 9 eligible peers · sample 165
requires 10 eligible position peers
Goals above expected
2.124
Unavailable among MID players
n = 5 eligible peers · sample 23
requires 10 eligible position peers
Overall impact / 100 actions
0.029
65th percentile among MID players
n = 61 eligible peers · sample 2571
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
-0.003
74th percentile among MID players
n = 58 eligible peers · sample 1447
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.069
34th percentile among MID players
n = 66 eligible peers · sample 1124
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
0.007
42nd percentile among MID players
n = 61 eligible peers · sample 2571
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
0.024
40th percentile among MID players
n = 61 eligible peers · sample 2571
Weak split-half stability in the current 34-match product cohort.
Playing style
Position-relative style among eligible MID 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 the observed role of Leverkusen's other MID contributors.
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.
Expected Goals
Goals above expected is descriptive for this observed sample, not a definitive finishing-skill rating.
Shots
23
11 matches observed
Goals
4
Total xG
1.9
Goals above expected
+2.1
xG / shot
0.1
17.4% goals / shot
Campos visualization
Non-penalty xG is encoded by marker size and color. Preserved penalties have no modeled xG.
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
+0.029
Passing impact / 100 passes
-0.003
Carrying impact / 100 carries
+0.069
Progressive-action impact / 100 actions
+0.007
Under-pressure impact / 100 actions
+0.024
2,571 actions · 1,447 passes · 1,124 carries · 53.5% increased attacking value
Campos visualization
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
190 attempts
147 attempts
165 attempts
Progressive-pass rate
9.8%
Pressure-pass rate
12.7%
Average forward distance
3.9 m
Positive forward distance / 100
666.4 m
Final-third entries / 100
9.7
Campos visualization
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–200 of 1,501 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.
Style similarity
81.8 / 100
Sample support: Higher · 28 limiting matches
Observed: 28 vs 33 matches
Style similarity
74.3 / 100
Sample support: Limited · 2 limiting matches
Observed: 28 vs 2 matches
Style similarity
73.7 / 100
Sample support: Higher · 24 limiting matches
Observed: 28 vs 24 matches
Style similarity
73.6 / 100
Sample support: Limited · 2 limiting matches
Observed: 28 vs 2 matches
Style similarity
70.2 / 100
Sample support: Limited · 2 limiting matches
Observed: 28 vs 2 matches
Style similarity
69.9 / 100
Sample support: Limited · 2 limiting matches
Observed: 28 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.