Pass difficulty
83.6%
17th percentile among MID players
n = 13 eligible peers · sample 1528
Player profile
Bayer Leverkusen · Right Attacking Midfield · MID
Actual completion
81.1%
1,239 completed passes
Pass difficulty
83.6%
How difficult a pass was to complete.
Actual vs. expected passing
-2.5 pp
-37.8 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%
17th percentile among MID players
n = 13 eligible peers · sample 1528
Under-pressure pass rate
12.4%
17th percentile among MID players
n = 13 eligible peers · sample 1528
Progressive pass rate
18.9%
100th percentile among MID players
n = 13 eligible peers · sample 1528
Long-pass rate
15.0%
83rd percentile among MID players
n = 13 eligible peers · sample 1528
Average forward distance
-1.5 units
0th percentile among MID players
n = 13 eligible peers · sample 1528
Positive forward distance / 100 passes
415.9 units
8th percentile among MID players
n = 13 eligible peers · sample 1528
Final-third entries / 100 passes
7.134
33rd percentile among MID players
n = 13 eligible peers · sample 1528
Carry share of actions
43.9%
32nd percentile among MID players
n = 61 eligible peers · sample 2675
Progressive carry rate
4.7%
63rd percentile among MID players
n = 66 eligible peers · sample 1173
Progressive action rate
12.5%
73rd percentile among MID players
n = 61 eligible peers · sample 2675
Under-pressure action rate
18.4%
23rd percentile among MID players
n = 61 eligible peers · sample 2675
Shots / observed match
1.94 / match
Unavailable among MID players
n = 5 eligible peers · sample 62
requires 10 eligible position peers
xG / shot
9.2%
Unavailable among MID players
n = 5 eligible peers · sample 62
requires 10 eligible position peers
Observed execution or model-derived output relative to opportunities.
Actual vs. expected passing
-2.5 pp
8th percentile among MID players
n = 13 eligible peers · sample 1528
Under-pressure completion above expected
-5.9 pp
11th percentile among MID players
n = 10 eligible peers · sample 190
Progressive completion above expected
-5.5 pp
Unavailable among MID players
n = 9 eligible peers · sample 289
requires 10 eligible position peers
Long-pass completion above expected
-2.7 pp
Unavailable among MID players
n = 9 eligible peers · sample 229
requires 10 eligible position peers
Goals above expected
-1.707
Unavailable among MID players
n = 5 eligible peers · sample 62
requires 10 eligible position peers
Overall impact / 100 actions
-0.058
22nd percentile among MID players
n = 61 eligible peers · sample 2675
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
-0.200
18th percentile among MID players
n = 58 eligible peers · sample 1502
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.123
62nd percentile among MID players
n = 66 eligible peers · sample 1173
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
0.043
65th percentile among MID players
n = 61 eligible peers · sample 2675
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
0.014
23rd percentile among MID players
n = 61 eligible peers · sample 2675
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.
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
62
26 matches observed
Goals
4
Total xG
5.7
Goals above expected
-1.7
xG / shot
0.1
6.5% 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
-0.058
Passing impact / 100 passes
-0.200
Carrying impact / 100 carries
+0.123
Progressive-action impact / 100 actions
+0.043
Under-pressure impact / 100 actions
+0.014
2,675 actions · 1,502 passes · 1,173 carries · 43.3% increased attacking value
Campos visualization
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
190 attempts
289 attempts
229 attempts
Progressive-pass rate
18.9%
Pressure-pass rate
12.4%
Average forward distance
-1.5 m
Positive forward distance / 100
415.9 m
Final-third entries / 100
7.1
Campos visualization
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–200 of 1,528 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
68.8 / 100
Sample support: Limited · 2 limiting matches
Observed: 32 vs 2 matches
Style similarity
67.8 / 100
Sample support: Limited · 2 limiting matches
Observed: 32 vs 2 matches
Style similarity
63.4 / 100
Sample support: Limited · 1 limiting matches
Observed: 32 vs 1 matches
Style similarity
61.5 / 100
Sample support: Limited · 2 limiting matches
Observed: 32 vs 2 matches
Style similarity
60.2 / 100
Sample support: Limited · 2 limiting matches
Observed: 32 vs 2 matches
Style similarity
59.4 / 100
Sample support: Limited · 2 limiting matches
Observed: 32 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.