Pass difficulty
84.5%
42nd percentile among MID players
n = 13 eligible peers · sample 155
Player profile
Bayer Leverkusen · Right Attacking Midfield · MID
Actual completion
84.5%
131 completed passes
Pass difficulty
84.5%
How difficult a pass was to complete.
Actual vs. expected passing
+0.0 pp
+0.1 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
84.5%
42nd percentile among MID players
n = 13 eligible peers · sample 155
Under-pressure pass rate
31.6%
100th percentile among MID players
n = 13 eligible peers · sample 155
Progressive pass rate
9.7%
33rd percentile among MID players
n = 13 eligible peers · sample 155
Long-pass rate
8.4%
33rd percentile among MID players
n = 13 eligible peers · sample 155
Average forward distance
-0.7 units
17th percentile among MID players
n = 13 eligible peers · sample 155
Positive forward distance / 100 passes
438.8 units
17th percentile among MID players
n = 13 eligible peers · sample 155
Final-third entries / 100 passes
4.516
8th percentile among MID players
n = 13 eligible peers · sample 155
Carry share of actions
52.7%
92nd percentile among MID players
n = 61 eligible peers · sample 315
Progressive carry rate
7.2%
77th percentile among MID players
n = 66 eligible peers · sample 166
Progressive action rate
7.6%
47th percentile among MID players
n = 61 eligible peers · sample 315
Under-pressure action rate
46.7%
100th percentile among MID players
n = 61 eligible peers · sample 315
Shots / observed match
1.00 / match
Unavailable among MID players
n = 5 eligible peers · sample 19
requires 20 shots
xG / shot
14.4%
Unavailable among MID players
n = 5 eligible peers · sample 19
requires 20 shots
Observed execution or model-derived output relative to opportunities.
Actual vs. expected passing
+0.0 pp
58th percentile among MID players
n = 13 eligible peers · sample 155
Under-pressure completion above expected
+1.8 pp
67th percentile among MID players
n = 10 eligible peers · sample 49
Progressive completion above expected
+2.3 pp
Unavailable among MID players
n = 9 eligible peers · sample 15
requires 20 progressive passes
Long-pass completion above expected
-5.8 pp
Unavailable among MID players
n = 9 eligible peers · sample 13
requires 20 long passes
Goals above expected
-0.739
Unavailable among MID players
n = 5 eligible peers · sample 19
requires 20 shots
Overall impact / 100 actions
-0.020
43rd percentile among MID players
n = 61 eligible peers · sample 315
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
-0.146
35th percentile among MID players
n = 58 eligible peers · sample 149
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.093
55th percentile among MID players
n = 66 eligible peers · sample 166
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
0.143
97th percentile among MID players
n = 61 eligible peers · sample 315
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
0.052
75th percentile among MID players
n = 61 eligible peers · sample 315
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.
Passes under pressure
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
19
9 matches observed
Goals
2
Total xG
2.7
Goals above expected
-0.7
xG / shot
0.1
10.5% goals / shot
Limited sample: fewer than 20 non-penalty shots.
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
-0.020
Passing impact / 100 passes
-0.146
Carrying impact / 100 carries
+0.093
Progressive-action impact / 100 actions
+0.143
Under-pressure impact / 100 actions
+0.052
315 actions · 149 passes · 166 carries · 50.8% increased attacking value
Campos visualization
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
49 attempts
15 attempts
Limited sample — interpret this split cautiously.
13 attempts
Progressive-pass rate
9.7%
Pressure-pass rate
31.6%
Average forward distance
-0.7 m
Positive forward distance / 100
438.8 m
Final-third entries / 100
4.5
Campos visualization
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–155 of 155 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
70.6 / 100
Sample support: Limited · 2 limiting matches
Observed: 19 vs 2 matches
Style similarity
53.0 / 100
Limited sample — interpret this split cautiously.
Sample support: Higher · 19 limiting matches
Observed: 19 vs 32 matches
Style similarity
52.8 / 100
Sample support: Limited · 2 limiting matches
Observed: 19 vs 2 matches
Style similarity
52.3 / 100
Sample support: Higher · 8 limiting matches
Observed: 19 vs 8 matches
Style similarity
51.4 / 100
Sample support: Limited · 2 limiting matches
Observed: 19 vs 2 matches
Style similarity
50.2 / 100
Sample support: Higher · 19 limiting matches
Observed: 19 vs 23 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.