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.
Leverkusen Role Fit
How closely a player's playing style matches this role. Compared with the observed role of Leverkusen's other MID contributors.
Positive Forward Distance Per 100 Passes
Role Fit measures how closely a player's observed playing style resembles Bayer Leverkusen's observed positional-role style. It does not predict 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.