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.
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
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.