Pass difficulty
91.2%
100th percentile among MID players
n = 13 eligible peers · sample 110
Player profile
Bayern Munich · Left Defensive Midfield · MID
Actual completion
90.0%
99 completed passes
Pass difficulty
91.2%
How difficult a pass was to complete.
Actual vs. expected passing
-1.2 pp
-1.4 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
91.2%
100th percentile among MID players
n = 13 eligible peers · sample 110
Under-pressure pass rate
15.5%
46th percentile among MID players
n = 13 eligible peers · sample 110
Progressive pass rate
6.4%
8th percentile among MID players
n = 13 eligible peers · sample 110
Long-pass rate
12.7%
75th percentile among MID players
n = 13 eligible peers · sample 110
Average forward distance
1.9 units
50th percentile among MID players
n = 13 eligible peers · sample 110
Positive forward distance / 100 passes
536.8 units
42nd percentile among MID players
n = 13 eligible peers · sample 110
Final-third entries / 100 passes
5.455
17th percentile among MID players
n = 13 eligible peers · sample 110
Carry share of actions
44.1%
35th percentile among MID players
n = 61 eligible peers · sample 188
Progressive carry rate
3.6%
55th percentile among MID players
n = 66 eligible peers · sample 83
Progressive action rate
4.8%
28th percentile among MID players
n = 61 eligible peers · sample 188
Under-pressure action rate
18.6%
25th percentile among MID players
n = 61 eligible peers · sample 188
Shots / observed match
2.00 / match
Unavailable among MID players
n = 5 eligible peers · sample 4
requires 20 shots
xG / shot
12.5%
Unavailable among MID players
n = 5 eligible peers · sample 4
requires 20 shots
Observed execution or model-derived output relative to opportunities.
Actual vs. expected passing
-1.2 pp
33rd percentile among MID players
n = 13 eligible peers · sample 110
Under-pressure completion above expected
-5.2 pp
Unavailable among MID players
n = 10 eligible peers · sample 17
requires 20 pressure passes
Progressive completion above expected
-5.0 pp
Unavailable among MID players
n = 9 eligible peers · sample 7
requires 20 progressive passes
Long-pass completion above expected
-1.1 pp
Unavailable among MID players
n = 9 eligible peers · sample 14
requires 20 long passes
Goals above expected
0.499
Unavailable among MID players
n = 5 eligible peers · sample 4
requires 20 shots
Overall impact / 100 actions
-0.092
10th percentile among MID players
n = 61 eligible peers · sample 188
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
-0.231
12th percentile among MID players
n = 58 eligible peers · sample 105
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.085
51st percentile among MID players
n = 66 eligible peers · sample 83
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
-0.059
7th percentile among MID players
n = 61 eligible peers · sample 188
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
-0.049
3rd percentile among MID players
n = 61 eligible peers · sample 188
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 Bayer Leverkusen's observed MID role.
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
4
2 matches observed
Goals
1
Total xG
0.5
Goals above expected
+0.5
xG / shot
0.1
25.0% 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
-0.092
Passing impact / 100 passes
-0.231
Carrying impact / 100 carries
+0.085
Progressive-action impact / 100 actions
-0.059
Under-pressure impact / 100 actions
-0.049
188 actions · 105 passes · 83 carries · 47.3% increased attacking value
Campos visualization
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
17 attempts
Limited sample — interpret this split cautiously.
7 attempts
Limited sample — interpret this split cautiously.
14 attempts
Progressive-pass rate
6.4%
Pressure-pass rate
15.5%
Average forward distance
1.9 m
Positive forward distance / 100
536.8 m
Final-third entries / 100
5.5
Campos visualization
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–110 of 110 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.
Limited sample: this player's style profile is based on 2 observed matches, so nearest-neighbor rankings may be less stable.
Style similarity
81.1 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
79.5 / 100
Limited sample — interpret this split cautiously.
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
77.6 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 33 matches
Style similarity
75.5 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 24 matches
Style similarity
74.3 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 28 matches
Style similarity
73.7 / 100
Sample support: Limited · 1 limiting matches
Observed: 2 vs 1 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.