Pass difficulty
82.2%
0th percentile among MID players
n = 13 eligible peers · sample 465
Player profile
Bayer Leverkusen · Left Attacking Midfield · MID
Actual completion
80.4%
374 completed passes
Pass difficulty
82.2%
How difficult a pass was to complete.
Actual vs. expected passing
-1.8 pp
-8.3 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
82.2%
0th percentile among MID players
n = 13 eligible peers · sample 465
Under-pressure pass rate
17.2%
67th percentile among MID players
n = 13 eligible peers · sample 465
Progressive pass rate
16.3%
67th percentile among MID players
n = 13 eligible peers · sample 465
Long-pass rate
5.6%
8th percentile among MID players
n = 13 eligible peers · sample 465
Average forward distance
-1.0 units
8th percentile among MID players
n = 13 eligible peers · sample 465
Positive forward distance / 100 passes
369.9 units
0th percentile among MID players
n = 13 eligible peers · sample 465
Final-third entries / 100 passes
6.237
25th percentile among MID players
n = 13 eligible peers · sample 465
Carry share of actions
48.1%
72nd percentile among MID players
n = 61 eligible peers · sample 858
Progressive carry rate
9.9%
88th percentile among MID players
n = 66 eligible peers · sample 413
Progressive action rate
13.1%
78th percentile among MID players
n = 61 eligible peers · sample 858
Under-pressure action rate
24.4%
60th percentile among MID players
n = 61 eligible peers · sample 858
Shots / observed match
1.17 / match
Unavailable among MID players
n = 5 eligible peers · sample 27
requires 10 eligible position peers
xG / shot
9.1%
Unavailable among MID players
n = 5 eligible peers · sample 27
requires 10 eligible position peers
Observed execution or model-derived output relative to opportunities.
Actual vs. expected passing
-1.8 pp
25th percentile among MID players
n = 13 eligible peers · sample 465
Under-pressure completion above expected
-0.5 pp
33rd percentile among MID players
n = 10 eligible peers · sample 80
Progressive completion above expected
-3.3 pp
Unavailable among MID players
n = 9 eligible peers · sample 76
requires 10 eligible position peers
Long-pass completion above expected
-7.6 pp
Unavailable among MID players
n = 9 eligible peers · sample 26
requires 10 eligible position peers
Goals above expected
1.547
Unavailable among MID players
n = 5 eligible peers · sample 27
requires 10 eligible position peers
Overall impact / 100 actions
-0.001
53rd percentile among MID players
n = 61 eligible peers · sample 858
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
-0.237
11th percentile among MID players
n = 58 eligible peers · sample 445
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.254
92nd percentile among MID players
n = 66 eligible peers · sample 413
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
0.124
93rd percentile among MID players
n = 61 eligible peers · sample 858
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
0.094
93rd percentile among MID players
n = 61 eligible peers · sample 858
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
27
16 matches observed
Goals
4
Total xG
2.5
Goals above expected
+1.5
xG / shot
0.1
14.8% 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
-0.001
Passing impact / 100 passes
-0.237
Carrying impact / 100 carries
+0.254
Progressive-action impact / 100 actions
+0.124
Under-pressure impact / 100 actions
+0.094
858 actions · 445 passes · 413 carries · 47.8% increased attacking value
Campos visualization
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
80 attempts
76 attempts
26 attempts
Progressive-pass rate
16.3%
Pressure-pass rate
17.2%
Average forward distance
-1.0 m
Positive forward distance / 100
369.9 m
Final-third entries / 100
6.2
Campos visualization
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–200 of 465 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
73.8 / 100
Sample support: Higher · 23 limiting matches
Observed: 23 vs 32 matches
Style similarity
68.4 / 100
Sample support: Limited · 2 limiting matches
Observed: 23 vs 2 matches
Style similarity
62.5 / 100
Sample support: Limited · 2 limiting matches
Observed: 23 vs 2 matches
Style similarity
62.3 / 100
Sample support: Limited · 2 limiting matches
Observed: 23 vs 2 matches
Style similarity
61.4 / 100
Sample support: Limited · 2 limiting matches
Observed: 23 vs 2 matches
Style similarity
61.4 / 100
Sample support: Limited · 2 limiting matches
Observed: 23 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.