Pass difficulty
84.3%
Unavailable among MID players
n = 13 eligible peers · sample 61
requires 100 passes
Player profile
FC Köln · Center Attacking Midfield · MID
Actual completion
73.8%
45 completed passes
Pass difficulty
84.3%
How difficult a pass was to complete.
Actual vs. expected passing
-10.6 pp
-6.4 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
84.3%
Unavailable among MID players
n = 13 eligible peers · sample 61
requires 100 passes
Under-pressure pass rate
29.5%
Unavailable among MID players
n = 13 eligible peers · sample 61
requires 100 passes
Progressive pass rate
6.6%
Unavailable among MID players
n = 13 eligible peers · sample 61
requires 100 passes
Long-pass rate
11.5%
Unavailable among MID players
n = 13 eligible peers · sample 61
requires 100 passes
Average forward distance
0.9 units
Unavailable among MID players
n = 13 eligible peers · sample 61
requires 100 passes
Positive forward distance / 100 passes
501.8 units
Unavailable among MID players
n = 13 eligible peers · sample 61
requires 100 passes
Final-third entries / 100 passes
8.197
Unavailable among MID players
n = 13 eligible peers · sample 61
requires 100 passes
Carry share of actions
42.6%
20th percentile among MID players
n = 61 eligible peers · sample 94
Progressive carry rate
5.0%
65th percentile among MID players
n = 66 eligible peers · sample 40
Progressive action rate
5.3%
32nd percentile among MID players
n = 61 eligible peers · sample 94
Under-pressure action rate
33.0%
88th percentile among MID players
n = 61 eligible peers · sample 94
Shots / observed match
1.00 / match
Unavailable among MID players
n = 5 eligible peers · sample 2
requires 20 shots
xG / shot
9.7%
Unavailable among MID players
n = 5 eligible peers · sample 2
requires 20 shots
Observed execution or model-derived output relative to opportunities.
Actual vs. expected passing
-10.6 pp
Unavailable among MID players
n = 13 eligible peers · sample 61
requires 100 passes
Under-pressure completion above expected
-12.0 pp
Unavailable among MID players
n = 10 eligible peers · sample 18
requires 20 pressure passes
Progressive completion above expected
-8.4 pp
Unavailable among MID players
n = 9 eligible peers · sample 4
requires 20 progressive passes
Long-pass completion above expected
+0.2 pp
Unavailable among MID players
n = 9 eligible peers · sample 7
requires 20 long passes
Goals above expected
-0.193
Unavailable among MID players
n = 5 eligible peers · sample 2
requires 20 shots
Overall impact / 100 actions
0.030
67th percentile among MID players
n = 61 eligible peers · sample 94
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
-0.011
72nd percentile among MID players
n = 58 eligible peers · sample 54
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.087
52nd percentile among MID players
n = 66 eligible peers · sample 40
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
0.116
92nd percentile among MID players
n = 61 eligible peers · sample 94
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
0.020
35th percentile among MID players
n = 61 eligible peers · sample 94
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.
Pressure 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
2
2 matches observed
Goals
0
Total xG
0.2
Goals above expected
-0.2
xG / shot
0.1
0.0% 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
+0.030
Passing impact / 100 passes
-0.011
Carrying impact / 100 carries
+0.087
Progressive-action impact / 100 actions
+0.116
Under-pressure impact / 100 actions
+0.020
94 actions · 54 passes · 40 carries · 46.8% increased attacking value
Campos visualization
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
18 attempts
Limited sample — interpret this split cautiously.
4 attempts
Limited sample — interpret this split cautiously.
7 attempts
Progressive-pass rate
6.6%
Pressure-pass rate
29.5%
Average forward distance
0.9 m
Positive forward distance / 100
501.8 m
Final-third entries / 100
8.2
Campos visualization
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–61 of 61 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
64.0 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
60.9 / 100
Limited sample — interpret this split cautiously.
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
59.5 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
57.2 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
57.1 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
55.6 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 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.