Pass difficulty
53.0%
Unavailable among GK players
n = 4 eligible peers · sample 37
requires 100 passes
Player profile
Moritz Nicolas
Borussia Mönchengladbach · Goalkeeper · GK
Matches observed1
Pass attempts37
Limited sampleActual completion
56.8%
21 completed passes
Pass difficulty
53.0%
How difficult a pass was to complete.
Actual vs. expected passing
+3.7 pp
+1.4 completions vs model expectation
Actual pass completion compared with the model's expected completion.
Player intelligence
Position profile
GK context · Each percentile is an empirical rank among eligible players in the same broad position group. Percentiles are not ratings.
Limited goalkeeper profile: FootyScout does not yet have enough goalkeeper-specific metrics for a meaningful radar.
Style
Tendencies describe what a player attempts; higher is not automatically better.
Under-pressure pass rate
18.9%
Unavailable among GK players
n = 4 eligible peers · sample 37
requires 100 passes
Progressive pass rate
70.3%
Unavailable among GK players
n = 4 eligible peers · sample 37
requires 100 passes
Long-pass rate
73.0%
Unavailable among GK players
n = 4 eligible peers · sample 37
requires 100 passes
Average forward distance
41.3 units
Unavailable among GK players
n = 4 eligible peers · sample 37
requires 100 passes
Positive forward distance / 100 passes
4133.5 units
Unavailable among GK players
n = 4 eligible peers · sample 37
requires 100 passes
Final-third entries / 100 passes
5.405
Unavailable among GK players
n = 4 eligible peers · sample 37
requires 100 passes
Carry share of actions
31.4%
Unavailable among GK players
n = 16 eligible peers · sample 51
requires 63 actions
Progressive carry rate
0.0%
Unavailable among GK players
n = 14 eligible peers · sample 16
requires 29 carries
Progressive action rate
47.1%
Unavailable among GK players
n = 16 eligible peers · sample 51
requires 63 actions
Under-pressure action rate
29.4%
Unavailable among GK players
n = 16 eligible peers · sample 51
requires 63 actions
Shots / observed match
0.00 / match
Unavailable among GK players
n = 0 eligible peers · sample 0
requires 20 shots
xG / shot
—
Unavailable among GK players
n = 0 eligible peers · sample 0
metric unavailable
Performance
Observed execution or model-derived output relative to opportunities.
Actual vs. expected passing
+3.7 pp
Unavailable among GK players
n = 4 eligible peers · sample 37
requires 100 passes
Under-pressure completion above expected
+12.5 pp
Unavailable among GK players
n = 4 eligible peers · sample 7
requires 20 pressure passes
Progressive completion above expected
+7.3 pp
69th percentile among GK players
n = 17 eligible peers · sample 26
Long-pass completion above expected
+4.4 pp
67th percentile among GK players
n = 19 eligible peers · sample 27
Goals above expected
0.000
Unavailable among GK players
n = 0 eligible peers · sample 0
requires 20 shots
Overall impact / 100 actions
-0.073
Unavailable among GK players
n = 16 eligible peers · sample 51
requires 63 actions
Weak split-half stability in the current 34-match product cohort.
Passing impact / 100 passes
-0.143
Unavailable among GK players
n = 17 eligible peers · sample 35
requires 36 passes
Weak split-half stability in the current 34-match product cohort.
Carrying impact / 100 carries
0.081
Unavailable among GK players
n = 14 eligible peers · sample 16
requires 29 carries
Moderate split-half stability; descriptive rather than latent ability.
Progressive-action impact / 100 actions
-0.102
Unavailable among GK players
n = 16 eligible peers · sample 51
requires 63 actions
Weak split-half stability in the current 34-match product cohort.
Under-pressure impact / 100 actions
0.022
Unavailable among GK players
n = 16 eligible peers · sample 51
requires 63 actions
Weak split-half stability in the current 34-match product cohort.
Playing style
Archetype unavailable
Goalkeepers are excluded from the outfield archetype model.
Archetypes describe outfield playing tendencies, not quality, ability, or rank.
Role Fit — Bayer Leverkusen
Role Fit unavailable
Role Fit is currently available for outfield DEF, MID, and FWD players only.
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
-0.073
Passing impact / 100 passes
-0.143
Carrying impact / 100 carries
+0.081
Progressive-action impact / 100 actions
-0.102
Under-pressure impact / 100 actions
+0.022
51 actions · 35 passes · 16 carries · 56.9% 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
7 attempts
- Actual
- 71.4%
- Pass difficulty
- 58.9%
- Actual vs. expected passing
- +12.5 pp
Limited sample — interpret this split cautiously.
Progressive passing
26 attempts
- Actual
- 42.3%
- Pass difficulty
- 35.0%
- Actual vs. expected passing
- +7.3 pp
Long passing
27 attempts
- Actual
- 40.7%
- Pass difficulty
- 36.3%
- Actual vs. expected passing
Progression profile
Progressive-pass rate
70.3%
Pressure-pass rate
18.9%
Average forward distance
41.3 m
Positive forward distance / 100
4133.5 m
Final-third entries / 100
5.4
Campos visualization
Pass map
Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.
Showing 1–37 of 37 passes
CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
- Pass difficulty
- 99.4%
- Outcome
- Completed
- Attacking impact
- 0.0000
- Value before
- 0.0060
- Value after
- 0.0060
- Length
- 29.4 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.