Pass difficulty
91.0%
92nd percentile among MID players
n = 13 eligible peers · sample 3299
Player profile
Bayer Leverkusen · Right Defensive Midfield · MID
Actual completion
92.3%
3,045 completed passes
Pass difficulty
91.0%
How difficult a pass was to complete.
Actual vs. expected passing
+1.3 pp
+44.2 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
91.0%
92nd percentile among MID players
n = 13 eligible peers · sample 3299
Under-pressure pass rate
16.0%
58th percentile among MID players
n = 13 eligible peers · sample 3299
Progressive pass rate
9.1%
25th percentile among MID players
n = 13 eligible peers · sample 3299
Long-pass rate
11.9%
67th percentile among MID players
n = 13 eligible peers · sample 3299
Average forward distance
3.3 units
75th percentile among MID players
n = 13 eligible peers · sample 3299
Positive forward distance / 100 passes
654.3 units
75th percentile among MID players
n = 13 eligible peers · sample 3299
Final-third entries / 100 passes
12.761
92nd percentile among MID players
n = 13 eligible peers · sample 3299
Carry share of actions
45.9%
43rd percentile among MID players
n = 61 eligible peers · sample 5969
Progressive carry rate
2.2%
34th percentile among MID players
n = 66 eligible peers · sample 2738
Progressive action rate
5.7%
33rd percentile among MID players
n = 61 eligible peers · sample 5969
Under-pressure action rate
20.9%
40th percentile among MID players
n = 61 eligible peers · sample 5969
Shots / observed match
1.33 / match
Unavailable among MID players
n = 5 eligible peers · sample 44
requires 10 eligible position peers
xG / shot
4.3%
Unavailable among MID players
n = 5 eligible peers · sample 44
requires 10 eligible position peers
Observed execution or model-derived output relative to opportunities.
Actual vs. expected passing
+1.3 pp
83rd percentile among MID players
n = 13 eligible peers · sample 3299
Under-pressure completion above expected
+2.1 pp
78th percentile among MID players
n = 10 eligible peers · sample 528
Progressive completion above expected
+5.1 pp
Unavailable among MID players
n = 9 eligible peers · sample 299
requires 10 eligible position peers
Long-pass completion above expected
+4.6 pp
Unavailable among MID players
n = 9 eligible peers · sample 391
requires 10 eligible position peers
Goals above expected
1.107
Unavailable among MID players
n = 5 eligible peers · sample 44
requires 10 eligible position peers
Overall impact / 100 actions
0.028
63rd percentile among MID players
n = 61 eligible peers · sample 5969
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
-0.015
68th percentile among MID players
n = 58 eligible peers · sample 3231
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.078
43rd percentile among MID players
n = 66 eligible peers · sample 2738
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
0.023
57th percentile among MID players
n = 61 eligible peers · sample 5969
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
0.033
55th percentile among MID players
n = 61 eligible peers · sample 5969
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
44
25 matches observed
Goals
3
Total xG
1.9
Goals above expected
+1.1
xG / shot
0.0
6.8% 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
+0.028
Passing impact / 100 passes
-0.015
Carrying impact / 100 carries
+0.078
Progressive-action impact / 100 actions
+0.023
Under-pressure impact / 100 actions
+0.033
5,969 actions · 3,231 passes · 2,738 carries · 51.4% increased attacking value
Campos visualization
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
528 attempts
299 attempts
391 attempts
Progressive-pass rate
9.1%
Pressure-pass rate
16.0%
Average forward distance
3.3 m
Positive forward distance / 100
654.3 m
Final-third entries / 100
12.8
Campos visualization
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–200 of 3,299 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
81.8 / 100
Sample support: Higher · 28 limiting matches
Observed: 33 vs 28 matches
Style similarity
77.6 / 100
Sample support: Limited · 2 limiting matches
Observed: 33 vs 2 matches
Style similarity
77.1 / 100
Sample support: Limited · 2 limiting matches
Observed: 33 vs 2 matches
Style similarity
75.9 / 100
Sample support: Higher · 24 limiting matches
Observed: 33 vs 24 matches
Style similarity
72.5 / 100
Sample support: Limited · 1 limiting matches
Observed: 33 vs 1 matches
Style similarity
71.7 / 100
Sample support: Limited · 2 limiting matches
Observed: 33 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.