Pass difficulty
84.2%
33rd percentile among MID players
n = 13 eligible peers · sample 1841
Player profile
Bayer Leverkusen · Left Attacking Midfield · MID
Actual completion
83.8%
1,543 completed passes
Pass difficulty
84.2%
How difficult a pass was to complete.
Actual vs. expected passing
-0.3 pp
-6.4 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
84.2%
33rd percentile among MID players
n = 13 eligible peers · sample 1841
Under-pressure pass rate
19.1%
75th percentile among MID players
n = 13 eligible peers · sample 1841
Progressive pass rate
18.6%
92nd percentile among MID players
n = 13 eligible peers · sample 1841
Long-pass rate
7.3%
17th percentile among MID players
n = 13 eligible peers · sample 1841
Average forward distance
1.5 units
33rd percentile among MID players
n = 13 eligible peers · sample 1841
Positive forward distance / 100 passes
516.4 units
33rd percentile among MID players
n = 13 eligible peers · sample 1841
Final-third entries / 100 passes
8.474
50th percentile among MID players
n = 13 eligible peers · sample 1841
Carry share of actions
48.6%
78th percentile among MID players
n = 61 eligible peers · sample 3509
Progressive carry rate
8.8%
83rd percentile among MID players
n = 66 eligible peers · sample 1707
Progressive action rate
13.8%
80th percentile among MID players
n = 61 eligible peers · sample 3509
Under-pressure action rate
30.0%
77th percentile among MID players
n = 61 eligible peers · sample 3509
Shots / observed match
2.19 / match
Unavailable among MID players
n = 5 eligible peers · sample 70
requires 10 eligible position peers
xG / shot
9.5%
Unavailable among MID players
n = 5 eligible peers · sample 70
requires 10 eligible position peers
Observed execution or model-derived output relative to opportunities.
Actual vs. expected passing
-0.3 pp
50th percentile among MID players
n = 13 eligible peers · sample 1841
Under-pressure completion above expected
+0.9 pp
56th percentile among MID players
n = 10 eligible peers · sample 352
Progressive completion above expected
+3.2 pp
Unavailable among MID players
n = 9 eligible peers · sample 342
requires 10 eligible position peers
Long-pass completion above expected
+1.6 pp
Unavailable among MID players
n = 9 eligible peers · sample 135
requires 10 eligible position peers
Goals above expected
3.320
Unavailable among MID players
n = 5 eligible peers · sample 70
requires 10 eligible position peers
Overall impact / 100 actions
0.044
72nd percentile among MID players
n = 61 eligible peers · sample 3509
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
-0.122
40th percentile among MID players
n = 58 eligible peers · sample 1802
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.219
83rd percentile among MID players
n = 66 eligible peers · sample 1707
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
0.106
87th percentile among MID players
n = 61 eligible peers · sample 3509
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
0.084
87th percentile among MID players
n = 61 eligible peers · sample 3509
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.
Progressive passing 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
70
28 matches observed
Goals
10
Total xG
6.7
Goals above expected
+3.3
xG / shot
0.1
14.3% 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
+0.044
Passing impact / 100 passes
-0.122
Carrying impact / 100 carries
+0.219
Progressive-action impact / 100 actions
+0.106
Under-pressure impact / 100 actions
+0.084
3,509 actions · 1,802 passes · 1,707 carries · 51.4% increased attacking value
Campos visualization
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
352 attempts
342 attempts
135 attempts
Progressive-pass rate
18.6%
Pressure-pass rate
19.1%
Average forward distance
1.5 m
Positive forward distance / 100
516.4 m
Final-third entries / 100
8.5
Campos visualization
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–200 of 1,841 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: 32 vs 23 matches
Style similarity
69.1 / 100
Sample support: Limited · 2 limiting matches
Observed: 32 vs 2 matches
Style similarity
69.0 / 100
Sample support: Limited · 2 limiting matches
Observed: 32 vs 2 matches
Style similarity
67.7 / 100
Sample support: Limited · 2 limiting matches
Observed: 32 vs 2 matches
Style similarity
67.7 / 100
Sample support: Limited · 2 limiting matches
Observed: 32 vs 2 matches
Style similarity
67.6 / 100
Sample support: Higher · 8 limiting matches
Observed: 32 vs 8 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.