Pass difficulty
88.7%
67th percentile among MID players
n = 13 eligible peers · sample 129
Player profile
VfB Stuttgart · Right Defensive Midfield · MID
Actual completion
89.1%
115 completed passes
Pass difficulty
88.7%
How difficult a pass was to complete.
Actual vs. expected passing
+0.4 pp
+0.5 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
88.7%
67th percentile among MID players
n = 13 eligible peers · sample 129
Under-pressure pass rate
12.4%
8th percentile among MID players
n = 13 eligible peers · sample 129
Progressive pass rate
6.2%
0th percentile among MID players
n = 13 eligible peers · sample 129
Long-pass rate
5.4%
0th percentile among MID players
n = 13 eligible peers · sample 129
Average forward distance
1.6 units
42nd percentile among MID players
n = 13 eligible peers · sample 129
Positive forward distance / 100 passes
482.2 units
25th percentile among MID players
n = 13 eligible peers · sample 129
Final-third entries / 100 passes
2.326
0th percentile among MID players
n = 13 eligible peers · sample 129
Carry share of actions
44.1%
33rd percentile among MID players
n = 61 eligible peers · sample 220
Progressive carry rate
0.0%
12th percentile among MID players
n = 66 eligible peers · sample 97
Progressive action rate
3.6%
19th percentile among MID players
n = 61 eligible peers · sample 220
Under-pressure action rate
16.4%
17th percentile among MID players
n = 61 eligible peers · sample 220
Shots / observed match
0.50 / match
Unavailable among MID players
n = 5 eligible peers · sample 1
requires 20 shots
xG / shot
3.9%
Unavailable among MID players
n = 5 eligible peers · sample 1
requires 20 shots
Observed execution or model-derived output relative to opportunities.
Actual vs. expected passing
+0.4 pp
67th percentile among MID players
n = 13 eligible peers · sample 129
Under-pressure completion above expected
+2.2 pp
Unavailable among MID players
n = 10 eligible peers · sample 16
requires 20 pressure passes
Progressive completion above expected
+12.8 pp
Unavailable among MID players
n = 9 eligible peers · sample 8
requires 20 progressive passes
Long-pass completion above expected
-18.7 pp
Unavailable among MID players
n = 9 eligible peers · sample 7
requires 20 long passes
Goals above expected
-0.039
Unavailable among MID players
n = 5 eligible peers · sample 1
requires 20 shots
Overall impact / 100 actions
-0.038
33rd percentile among MID players
n = 61 eligible peers · sample 220
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
-0.083
58th percentile among MID players
n = 58 eligible peers · sample 123
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.019
5th percentile among MID players
n = 66 eligible peers · sample 97
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
-0.004
33rd percentile among MID players
n = 61 eligible peers · sample 220
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
0.010
20th percentile among MID players
n = 61 eligible peers · sample 220
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 Bayer Leverkusen's observed MID role.
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
1
1 matches observed
Goals
0
Total xG
0.0
Goals above expected
-0.0
xG / shot
0.0
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
-0.038
Passing impact / 100 passes
-0.083
Carrying impact / 100 carries
+0.019
Progressive-action impact / 100 actions
-0.004
Under-pressure impact / 100 actions
+0.010
220 actions · 123 passes · 97 carries · 43.6% increased attacking value
Campos visualization
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
16 attempts
Limited sample — interpret this split cautiously.
8 attempts
Limited sample — interpret this split cautiously.
7 attempts
Progressive-pass rate
6.2%
Pressure-pass rate
12.4%
Average forward distance
1.6 m
Positive forward distance / 100
482.2 m
Final-third entries / 100
2.3
Campos visualization
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–129 of 129 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
78.9 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 24 matches
Style similarity
77.3 / 100
Limited sample — interpret this split cautiously.
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
73.8 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
71.9 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
70.0 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
69.4 / 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.