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.
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.
Long-pass rate
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
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.