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.
Leverkusen Role Fit
How closely a player's playing style matches this role. Compared with the observed role of Leverkusen's other MID contributors.
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.
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.