Pass difficulty
83.6%
25th percentile among MID players
n = 13 eligible peers · sample 155
Player profile
Bayer Leverkusen · Left Defensive Midfield · MID
Actual completion
87.1%
135 completed passes
Pass difficulty
83.6%
How difficult a pass was to complete.
Actual vs. expected passing
+3.5 pp
+5.4 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
83.6%
25th percentile among MID players
n = 13 eligible peers · sample 155
Under-pressure pass rate
23.2%
83rd percentile among MID players
n = 13 eligible peers · sample 155
Progressive pass rate
15.5%
50th percentile among MID players
n = 13 eligible peers · sample 155
Long-pass rate
11.0%
50th percentile among MID players
n = 13 eligible peers · sample 155
Average forward distance
3.5 units
92nd percentile among MID players
n = 13 eligible peers · sample 155
Positive forward distance / 100 passes
691.5 units
92nd percentile among MID players
n = 13 eligible peers · sample 155
Final-third entries / 100 passes
13.548
100th percentile among MID players
n = 13 eligible peers · sample 155
Carry share of actions
48.5%
73rd percentile among MID players
n = 61 eligible peers · sample 291
Progressive carry rate
5.7%
68th percentile among MID players
n = 66 eligible peers · sample 141
Progressive action rate
10.0%
67th percentile among MID players
n = 61 eligible peers · sample 291
Under-pressure action rate
29.6%
75th percentile among MID players
n = 61 eligible peers · sample 291
Shots / observed match
0.50 / match
Unavailable among MID players
n = 5 eligible peers · sample 4
requires 20 shots
xG / shot
5.6%
Unavailable among MID players
n = 5 eligible peers · sample 4
requires 20 shots
Observed execution or model-derived output relative to opportunities.
Actual vs. expected passing
+3.5 pp
100th percentile among MID players
n = 13 eligible peers · sample 155
Under-pressure completion above expected
+10.1 pp
100th percentile among MID players
n = 10 eligible peers · sample 36
Progressive completion above expected
+13.4 pp
Unavailable among MID players
n = 9 eligible peers · sample 24
requires 10 eligible position peers
Long-pass completion above expected
+2.1 pp
Unavailable among MID players
n = 9 eligible peers · sample 17
requires 20 long passes
Goals above expected
-0.224
Unavailable among MID players
n = 5 eligible peers · sample 4
requires 20 shots
Overall impact / 100 actions
0.069
82nd percentile among MID players
n = 61 eligible peers · sample 291
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
0.004
79th percentile among MID players
n = 58 eligible peers · sample 150
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.138
66th percentile among MID players
n = 66 eligible peers · sample 141
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
0.106
88th percentile among MID players
n = 61 eligible peers · sample 291
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
0.050
70th percentile among MID players
n = 61 eligible peers · sample 291
Weak split-half stability in the current 34-match product cohort.
Playing style
Position-relative style among eligible MID players.
Progressive-pass rate (higher)
Pass difficulty (lower)
Positive forward distance / 100 passes (higher)
Long-pass rate (higher)
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.
Long 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
4
3 matches observed
Goals
0
Total xG
0.2
Goals above expected
-0.2
xG / shot
0.1
0.0% 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
+0.069
Passing impact / 100 passes
+0.004
Carrying impact / 100 carries
+0.138
Progressive-action impact / 100 actions
+0.106
Under-pressure impact / 100 actions
+0.050
291 actions · 150 passes · 141 carries · 47.8% increased attacking value
Campos visualization
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
36 attempts
24 attempts
17 attempts
Limited sample — interpret this split cautiously.
Progressive-pass rate
15.5%
Pressure-pass rate
23.2%
Average forward distance
3.5 m
Positive forward distance / 100
691.5 m
Final-third entries / 100
13.5
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
72.9 / 100
Sample support: Limited · 2 limiting matches
Observed: 8 vs 2 matches
Style similarity
69.5 / 100
Sample support: Limited · 2 limiting matches
Observed: 8 vs 2 matches
Style similarity
67.6 / 100
Sample support: Higher · 8 limiting matches
Observed: 8 vs 32 matches
Style similarity
64.4 / 100
Sample support: Limited · 2 limiting matches
Observed: 8 vs 2 matches
Style similarity
63.2 / 100
Sample support: Limited · 2 limiting matches
Observed: 8 vs 2 matches
Style similarity
61.4 / 100
Sample support: Limited · 2 limiting matches
Observed: 8 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.