Pass difficulty
80.4%
Unavailable among MID players
n = 13 eligible peers · sample 85
requires 100 passes
Player profile
FC Heidenheim · Right Defensive Midfield · MID
Actual completion
72.9%
62 completed passes
Pass difficulty
80.4%
How difficult a pass was to complete.
Actual vs. expected passing
-7.4 pp
-6.3 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
80.4%
Unavailable among MID players
n = 13 eligible peers · sample 85
requires 100 passes
Under-pressure pass rate
16.5%
Unavailable among MID players
n = 13 eligible peers · sample 85
requires 100 passes
Progressive pass rate
8.2%
Unavailable among MID players
n = 13 eligible peers · sample 85
requires 100 passes
Long-pass rate
22.4%
Unavailable among MID players
n = 13 eligible peers · sample 85
requires 100 passes
Average forward distance
2.3 units
Unavailable among MID players
n = 13 eligible peers · sample 85
requires 100 passes
Positive forward distance / 100 passes
725.6 units
Unavailable among MID players
n = 13 eligible peers · sample 85
requires 100 passes
Final-third entries / 100 passes
12.941
Unavailable among MID players
n = 13 eligible peers · sample 85
requires 100 passes
Carry share of actions
44.2%
37th percentile among MID players
n = 61 eligible peers · sample 129
Progressive carry rate
1.8%
32nd percentile among MID players
n = 66 eligible peers · sample 57
Progressive action rate
4.7%
25th percentile among MID players
n = 61 eligible peers · sample 129
Under-pressure action rate
15.5%
13th percentile among MID players
n = 61 eligible peers · sample 129
Shots / observed match
0.00 / match
Unavailable among MID players
n = 5 eligible peers · sample 0
requires 20 shots
xG / shot
—
Unavailable among MID players
n = 5 eligible peers · sample 0
metric unavailable
Observed execution or model-derived output relative to opportunities.
Actual vs. expected passing
-7.4 pp
Unavailable among MID players
n = 13 eligible peers · sample 85
requires 100 passes
Under-pressure completion above expected
+0.9 pp
Unavailable among MID players
n = 10 eligible peers · sample 14
requires 20 pressure passes
Progressive completion above expected
-29.8 pp
Unavailable among MID players
n = 9 eligible peers · sample 7
requires 20 progressive passes
Long-pass completion above expected
-10.1 pp
Unavailable among MID players
n = 9 eligible peers · sample 19
requires 20 long passes
Goals above expected
0.000
Unavailable among MID players
n = 5 eligible peers · sample 0
requires 20 shots
Overall impact / 100 actions
-0.139
5th percentile among MID players
n = 61 eligible peers · sample 129
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
-0.288
7th percentile among MID players
n = 58 eligible peers · sample 72
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.049
17th percentile among MID players
n = 66 eligible peers · sample 57
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
-0.046
12th percentile among MID players
n = 61 eligible peers · sample 129
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
-0.006
12th percentile among MID players
n = 61 eligible peers · sample 129
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.
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.
Long-pass rate
Role Fit compares observed playing style. It does not predict player quality, transfer success, or future performance.
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
-0.139
Passing impact / 100 passes
-0.288
Carrying impact / 100 carries
+0.049
Progressive-action impact / 100 actions
-0.046
Under-pressure impact / 100 actions
-0.006
129 actions · 72 passes · 57 carries · 41.1% increased attacking value
Campos visualization
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
14 attempts
Limited sample — interpret this split cautiously.
7 attempts
Limited sample — interpret this split cautiously.
19 attempts
Progressive-pass rate
8.2%
Pressure-pass rate
16.5%
Average forward distance
2.3 m
Positive forward distance / 100
725.6 m
Final-third entries / 100
12.9
Campos visualization
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–85 of 85 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
57.1 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
56.5 / 100
Limited sample — interpret this split cautiously.
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
56.0 / 100
Sample support: Limited · 1 limiting matches
Observed: 2 vs 1 matches
Style similarity
55.6 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
54.7 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
54.5 / 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.