Pass difficulty
75.0%
Unavailable among MID players
n = 13 eligible peers · sample 62
requires 100 passes
Player profile
VfB Stuttgart · Left Attacking Midfield · MID
Actual completion
72.6%
45 completed passes
Pass difficulty
75.0%
How difficult a pass was to complete.
Actual vs. expected passing
-2.4 pp
-1.5 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
75.0%
Unavailable among MID players
n = 13 eligible peers · sample 62
requires 100 passes
Under-pressure pass rate
12.9%
Unavailable among MID players
n = 13 eligible peers · sample 62
requires 100 passes
Progressive pass rate
19.4%
Unavailable among MID players
n = 13 eligible peers · sample 62
requires 100 passes
Long-pass rate
11.3%
Unavailable among MID players
n = 13 eligible peers · sample 62
requires 100 passes
Average forward distance
2.2 units
Unavailable among MID players
n = 13 eligible peers · sample 62
requires 100 passes
Positive forward distance / 100 passes
589.2 units
Unavailable among MID players
n = 13 eligible peers · sample 62
requires 100 passes
Final-third entries / 100 passes
3.226
Unavailable among MID players
n = 13 eligible peers · sample 62
requires 100 passes
Carry share of actions
51.8%
90th percentile among MID players
n = 61 eligible peers · sample 110
Progressive carry rate
17.5%
98th percentile among MID players
n = 66 eligible peers · sample 57
Progressive action rate
17.3%
92nd percentile among MID players
n = 61 eligible peers · sample 110
Under-pressure action rate
20.9%
38th percentile among MID players
n = 61 eligible peers · sample 110
Shots / observed match
3.00 / match
Unavailable among MID players
n = 5 eligible peers · sample 6
requires 20 shots
xG / shot
13.0%
Unavailable among MID players
n = 5 eligible peers · sample 6
requires 20 shots
Observed execution or model-derived output relative to opportunities.
Actual vs. expected passing
-2.4 pp
Unavailable among MID players
n = 13 eligible peers · sample 62
requires 100 passes
Under-pressure completion above expected
-8.8 pp
Unavailable among MID players
n = 10 eligible peers · sample 8
requires 20 pressure passes
Progressive completion above expected
-3.9 pp
Unavailable among MID players
n = 9 eligible peers · sample 12
requires 20 progressive passes
Long-pass completion above expected
-2.9 pp
Unavailable among MID players
n = 9 eligible peers · sample 7
requires 20 long passes
Goals above expected
1.222
Unavailable among MID players
n = 5 eligible peers · sample 6
requires 20 shots
Overall impact / 100 actions
0.316
98th percentile among MID players
n = 61 eligible peers · sample 110
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
0.260
100th percentile among MID players
n = 58 eligible peers · sample 53
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.368
98th percentile among MID players
n = 66 eligible peers · sample 57
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
0.278
98th percentile among MID players
n = 61 eligible peers · sample 110
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
0.067
85th percentile among MID players
n = 61 eligible peers · sample 110
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 Bayer Leverkusen's observed MID role.
Expected Completion 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
6
2 matches observed
Goals
2
Total xG
0.8
Goals above expected
+1.2
xG / shot
0.1
33.3% 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
+0.316
Passing impact / 100 passes
+0.260
Carrying impact / 100 carries
+0.368
Progressive-action impact / 100 actions
+0.278
Under-pressure impact / 100 actions
+0.067
110 actions · 53 passes · 57 carries · 54.5% increased attacking value
Campos visualization
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
8 attempts
Limited sample — interpret this split cautiously.
12 attempts
Limited sample — interpret this split cautiously.
7 attempts
Progressive-pass rate
19.4%
Pressure-pass rate
12.9%
Average forward distance
2.2 m
Positive forward distance / 100
589.2 m
Final-third entries / 100
3.2
Campos visualization
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–62 of 62 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
59.5 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
58.5 / 100
Limited sample — interpret this split cautiously.
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
58.3 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
56.1 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 32 matches
Style similarity
53.4 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
52.6 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 23 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.