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.
Role Fit
How closely a player's playing style matches this role. Compared with the observed role of Leverkusen's other MID contributors.
Lower distance means closer stylistic resemblance.
Forward distance per 100 passes
Role Fit compares observed playing style. It does not predict player quality, 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.