Pass difficulty
91.7%
Unavailable among MID players
n = 13 eligible peers · sample 97
requires 100 passes
Player profile
Borussia Mönchengladbach · Right Defensive Midfield · MID
Actual completion
89.7%
87 completed passes
Pass difficulty
91.7%
How difficult a pass was to complete.
Actual vs. expected passing
-2.0 pp
-2.0 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
91.7%
Unavailable among MID players
n = 13 eligible peers · sample 97
requires 100 passes
Under-pressure pass rate
9.3%
Unavailable among MID players
n = 13 eligible peers · sample 97
requires 100 passes
Progressive pass rate
8.2%
Unavailable among MID players
n = 13 eligible peers · sample 97
requires 100 passes
Long-pass rate
14.4%
Unavailable among MID players
n = 13 eligible peers · sample 97
requires 100 passes
Average forward distance
2.1 units
Unavailable among MID players
n = 13 eligible peers · sample 97
requires 100 passes
Positive forward distance / 100 passes
625.3 units
Unavailable among MID players
n = 13 eligible peers · sample 97
requires 100 passes
Final-third entries / 100 passes
7.216
Unavailable among MID players
n = 13 eligible peers · sample 97
requires 100 passes
Carry share of actions
40.5%
3rd percentile among MID players
n = 61 eligible peers · sample 153
Progressive carry rate
0.0%
12th percentile among MID players
n = 66 eligible peers · sample 62
Progressive action rate
3.9%
22nd percentile among MID players
n = 61 eligible peers · sample 153
Under-pressure action rate
13.7%
2nd percentile among MID players
n = 61 eligible peers · sample 153
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
-2.0 pp
Unavailable among MID players
n = 13 eligible peers · sample 97
requires 100 passes
Under-pressure completion above expected
-11.1 pp
Unavailable among MID players
n = 10 eligible peers · sample 9
requires 20 pressure passes
Progressive completion above expected
+5.1 pp
Unavailable among MID players
n = 9 eligible peers · sample 8
requires 20 progressive passes
Long-pass completion above expected
+0.3 pp
Unavailable among MID players
n = 9 eligible peers · sample 14
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
0.025
62nd percentile among MID players
n = 61 eligible peers · sample 153
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
0.000
75th percentile among MID players
n = 58 eligible peers · sample 91
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.061
31st percentile among MID players
n = 66 eligible peers · sample 62
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
0.020
53rd percentile among MID players
n = 61 eligible peers · sample 153
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
0.019
30th percentile among MID players
n = 61 eligible peers · sample 153
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.
Carry Share Of Actions
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.
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
+0.025
Passing impact / 100 passes
+0.000
Carrying impact / 100 carries
+0.061
Progressive-action impact / 100 actions
+0.020
Under-pressure impact / 100 actions
+0.019
153 actions · 91 passes · 62 carries · 48.4% increased attacking value
Campos visualization
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
9 attempts
Limited sample — interpret this split cautiously.
8 attempts
Limited sample — interpret this split cautiously.
14 attempts
Progressive-pass rate
8.2%
Pressure-pass rate
9.3%
Average forward distance
2.1 m
Positive forward distance / 100
625.3 m
Final-third entries / 100
7.2
Campos visualization
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–97 of 97 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
73.6 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 28 matches
Style similarity
68.8 / 100
Limited sample — interpret this split cautiously.
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
66.6 / 100
Sample support: Limited · 1 limiting matches
Observed: 2 vs 1 matches
Style similarity
64.5 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 33 matches
Style similarity
64.1 / 100
Sample support: Limited · 2 limiting matches
Observed: 2 vs 2 matches
Style similarity
63.5 / 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.