Pass difficulty
83.4%
Unavailable among MID players
n = 13 eligible peers · sample 48
requires 100 passes
Player profile
Alex Král
Union Berlin · Right Defensive Midfield · MID
Matches observed2
Pass attempts48
Limited sampleActual completion
79.2%
38 completed passes
Pass difficulty
83.4%
How difficult a pass was to complete.
Actual vs. expected passing
-4.2 pp
-2.0 completions vs model expectation
Actual pass completion compared with the model's expected completion.
Player intelligence
Position profile
MID context · Each percentile is an empirical rank among eligible players in the same broad position group. Percentiles are not ratings.
Insufficient eligible position metrics for a meaningful radar.
Style
Tendencies describe what a player attempts; higher is not automatically better.
Under-pressure pass rate
18.8%
Unavailable among MID players
n = 13 eligible peers · sample 48
requires 100 passes
Progressive pass rate
12.5%
Unavailable among MID players
n = 13 eligible peers · sample 48
requires 100 passes
Long-pass rate
10.4%
Unavailable among MID players
n = 13 eligible peers · sample 48
requires 100 passes
Average forward distance
1.7 units
Unavailable among MID players
n = 13 eligible peers · sample 48
requires 100 passes
Positive forward distance / 100 passes
667.9 units
Unavailable among MID players
n = 13 eligible peers · sample 48
requires 100 passes
Final-third entries / 100 passes
10.417
Unavailable among MID players
n = 13 eligible peers · sample 48
requires 100 passes
Carry share of actions
41.7%
14th percentile among MID players
n = 61 eligible peers · sample 72
Progressive carry rate
3.3%
49th percentile among MID players
n = 66 eligible peers · sample 30
Progressive action rate
6.9%
40th percentile among MID players
n = 61 eligible peers · sample 72
Under-pressure action rate
29.2%
72nd percentile among MID players
n = 61 eligible peers · sample 72
Shots / observed match
1.00 / match
Unavailable among MID players
n = 5 eligible peers · sample 2
requires 20 shots
xG / shot
3.7%
Unavailable among MID players
n = 5 eligible peers · sample 2
requires 20 shots
Performance
Observed execution or model-derived output relative to opportunities.
Actual vs. expected passing
-4.2 pp
Unavailable among MID players
n = 13 eligible peers · sample 48
requires 100 passes
Under-pressure completion above expected
+6.7 pp
Unavailable among MID players
n = 10 eligible peers · sample 9
requires 20 pressure passes
Progressive completion above expected
+10.6 pp
Unavailable among MID players
n = 9 eligible peers · sample 6
requires 20 progressive passes
Long-pass completion above expected
-11.5 pp
Unavailable among MID players
n = 9 eligible peers · sample 5
requires 20 long passes
Goals above expected
-0.074
Unavailable among MID players
n = 5 eligible peers · sample 2
requires 20 shots
Overall impact / 100 actions
-0.066
17th percentile among MID players
n = 61 eligible peers · sample 72
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
-0.155
33rd percentile among MID players
n = 58 eligible peers · sample 42
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.057
26th percentile among MID players
n = 66 eligible peers · sample 30
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
0.007
43rd percentile among MID players
n = 61 eligible peers · sample 72
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
0.033
53rd percentile among MID players
n = 61 eligible peers · sample 72
Weak split-half stability in the current 34-match product cohort.
Playing style
Archetype unavailable
Limited sample for archetype analysis: requires 50 passes.
Archetypes describe outfield playing tendencies, not quality, ability, or rank.
Role Fit — Bayer Leverkusen
Role Fit unavailable
Role Fit requires at least 50 passes and 29 carries in the product sample.
Expected Goals
Non-penalty shooting
Goals above expected is descriptive for this observed sample, not a definitive finishing-skill rating.
Shots
2
1 matches observed
Goals
0
Total xG
0.1
Goals above expected
-0.1
xG / shot
0.0
0.0% goals / shot
Limited sample: fewer than 20 non-penalty shots.
Campos visualization
Shot map
Non-penalty xG is encoded by marker size and color. Preserved penalties have no modeled xG.
Shots2
Goals0
xG0.07
xG0.00 – 1.00
Foot
Header
Green outline = GoalNormal outline = Non-goal
Attacking impact
Impact of passes and carries
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
-0.066
Passing impact / 100 passes
-0.155
Carrying impact / 100 carries
+0.057
Progressive-action impact / 100 actions
+0.007
Under-pressure impact / 100 actions
+0.033
72 actions · 42 passes · 30 carries · 40.3% increased attacking value
Campos visualization
Carry value map
Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.
Situational execution
Under pressure
9 attempts
- Actual
- 88.9%
- Pass difficulty
- 82.2%
- Actual vs. expected passing
- +6.7 pp
Limited sample — interpret this split cautiously.
Progressive passing
6 attempts
- Actual
- 50.0%
- Pass difficulty
- 39.4%
- Actual vs. expected passing
- +10.6 pp
Limited sample — interpret this split cautiously.
Long passing
5 attempts
- Actual
- 40.0%
- Pass difficulty
- 51.5%
Progression profile
Progressive-pass rate
12.5%
Pressure-pass rate
18.8%
Average forward distance
1.7 m
Positive forward distance / 100
667.9 m
Final-third entries / 100
10.4
Campos visualization
Pass map
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–48 of 48 passes
CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
- Pass difficulty
- 74.8%
- Outcome
- Completed
- Attacking impact
- 0.0000
- Value before
- 0.0063
- Value after
- 0.0063
- Length
- 3.8 m
- Context
- Standard
Event clocks are not retained in the pass API.
Similar playing styles
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.
Playing-style similarity unavailable
V3.3B similarity requires an outfield player with at least 50 passes and 29 carries.
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.