Pass difficulty
90.6%
83rd percentile among MID players
n = 13 eligible peers · sample 2022
Player profile
Bayer Leverkusen · Left Defensive Midfield · MID
Actual completion
92.3%
1,867 completed passes
Pass difficulty
90.6%
How difficult a pass was to complete.
Actual vs. expected passing
+1.8 pp
+35.9 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
90.6%
83rd percentile among MID players
n = 13 eligible peers · sample 2022
Under-pressure pass rate
13.5%
33rd percentile among MID players
n = 13 eligible peers · sample 2022
Progressive pass rate
8.4%
17th percentile among MID players
n = 13 eligible peers · sample 2022
Long-pass rate
7.4%
25th percentile among MID players
n = 13 eligible peers · sample 2022
Average forward distance
2.4 units
67th percentile among MID players
n = 13 eligible peers · sample 2022
Positive forward distance / 100 passes
553.1 units
58th percentile among MID players
n = 13 eligible peers · sample 2022
Final-third entries / 100 passes
9.298
67th percentile among MID players
n = 13 eligible peers · sample 2022
Carry share of actions
46.3%
48th percentile among MID players
n = 61 eligible peers · sample 3657
Progressive carry rate
1.2%
28th percentile among MID players
n = 66 eligible peers · sample 1694
Progressive action rate
4.8%
27th percentile among MID players
n = 61 eligible peers · sample 3657
Under-pressure action rate
17.8%
20th percentile among MID players
n = 61 eligible peers · sample 3657
Shots / observed match
0.79 / match
Unavailable among MID players
n = 5 eligible peers · sample 19
requires 20 shots
xG / shot
7.4%
Unavailable among MID players
n = 5 eligible peers · sample 19
requires 20 shots
Observed execution or model-derived output relative to opportunities.
Actual vs. expected passing
+1.8 pp
92nd percentile among MID players
n = 13 eligible peers · sample 2022
Under-pressure completion above expected
+2.4 pp
89th percentile among MID players
n = 10 eligible peers · sample 273
Progressive completion above expected
+6.8 pp
Unavailable among MID players
n = 9 eligible peers · sample 170
requires 10 eligible position peers
Long-pass completion above expected
+5.3 pp
Unavailable among MID players
n = 9 eligible peers · sample 149
requires 10 eligible position peers
Goals above expected
0.595
Unavailable among MID players
n = 5 eligible peers · sample 19
requires 20 shots
Overall impact / 100 actions
0.025
60th percentile among MID players
n = 61 eligible peers · sample 3657
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
0.001
77th percentile among MID players
n = 58 eligible peers · sample 1963
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.053
20th percentile among MID players
n = 66 eligible peers · sample 1694
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
0.028
63rd percentile among MID players
n = 61 eligible peers · sample 3657
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
0.020
33rd percentile among MID players
n = 61 eligible peers · sample 3657
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.
Leverkusen Role Fit
How closely a player's playing style matches this role. Compared with the observed role of Leverkusen's other MID contributors.
Progressive Pass Rate
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
19
10 matches observed
Goals
2
Total xG
1.4
Goals above expected
+0.6
xG / shot
0.1
10.5% goals / shot
Limited sample: fewer than 20 non-penalty shots.
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
+0.025
Passing impact / 100 passes
+0.001
Carrying impact / 100 carries
+0.053
Progressive-action impact / 100 actions
+0.028
Under-pressure impact / 100 actions
+0.020
3,657 actions · 1,963 passes · 1,694 carries · 51.1% increased attacking value
Campos visualization
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
273 attempts
170 attempts
149 attempts
Progressive-pass rate
8.4%
Pressure-pass rate
13.5%
Average forward distance
2.4 m
Positive forward distance / 100
553.1 m
Final-third entries / 100
9.3
Campos visualization
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–200 of 2,022 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
79.9 / 100
Sample support: Limited · 2 limiting matches
Observed: 24 vs 2 matches
Style similarity
78.9 / 100
Sample support: Limited · 2 limiting matches
Observed: 24 vs 2 matches
Style similarity
78.1 / 100
Sample support: Limited · 2 limiting matches
Observed: 24 vs 2 matches
Style similarity
77.5 / 100
Sample support: Limited · 1 limiting matches
Observed: 24 vs 1 matches
Style similarity
75.9 / 100
Sample support: Higher · 24 limiting matches
Observed: 24 vs 33 matches
Style similarity
75.5 / 100
Sample support: Limited · 2 limiting matches
Observed: 24 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.