FSFootyScout
PlayersTeam IntelligenceScoutingLeaderboardCompareArchetypesModel

FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Marvin Schwäbe

FC Köln · Goalkeeper · GK

Matches observed2
Pass attempts79
Limited sample

Actual completion

69.6%

55 completed passes

Pass difficulty

71.7%

How difficult a pass was to complete.

Actual vs. expected passing

-2.1 pp

-1.6 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.

Pass difficulty

71.7%

Unavailable among GK players

n = 4 eligible peers · sample 79

requires 100 passes

Under-pressure pass rate

16.5%

Unavailable among GK players

n = 4 eligible peers · sample 79

requires 100 passes

Progressive pass rate

39.2%

Unavailable among GK players

n = 4 eligible peers · sample 79

requires 100 passes

Long-pass rate

60.8%

Unavailable among GK players

n = 4 eligible peers · sample 79

requires 100 passes

Average forward distance

30.0 units

Unavailable among GK players

n = 4 eligible peers · sample 79

requires 100 passes

Positive forward distance / 100 passes

3003.2 units

Unavailable among GK players

n = 4 eligible peers · sample 79

requires 100 passes

Final-third entries / 100 passes

7.595

Unavailable among GK players

n = 4 eligible peers · sample 79

requires 100 passes

Carry share of actions

37.1%

60th percentile among GK players

n = 16 eligible peers · sample 116

Progressive carry rate

0.0%

50th percentile among GK players

n = 14 eligible peers · sample 43

Progressive action rate

21.6%

33rd percentile among GK players

n = 16 eligible peers · sample 116

Under-pressure action rate

21.6%

53rd percentile among GK players

n = 16 eligible peers · sample 116

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

-2.1 pp

Unavailable among GK players

n = 4 eligible peers · sample 79

requires 100 passes

Under-pressure completion above expected

+16.8 pp

Unavailable among GK players

n = 4 eligible peers · sample 13

requires 20 pressure passes

Progressive completion above expected

-9.0 pp

6th percentile among GK players

n = 17 eligible peers · sample 31

Long-pass completion above expected

-4.9 pp

17th percentile among GK players

n = 19 eligible peers · sample 48

Goals above expected

0.000

Unavailable among GK players

n = 0 eligible peers · sample 0

requires 20 shots

Overall impact / 100 actions

-0.020

73rd percentile among GK players

n = 16 eligible peers · sample 116

Weak split-half stability in the current 34-match product cohort.

Passing impact / 100 passes

-0.069

63rd percentile among GK players

n = 17 eligible peers · sample 73

Weak split-half stability in the current 34-match product cohort.

Carrying impact / 100 carries

0.064

77th percentile among GK players

n = 14 eligible peers · sample 43

Moderate split-half stability; descriptive rather than latent ability.

Progressive-action impact / 100 actions

-0.053

73rd percentile among GK players

n = 16 eligible peers · sample 116

Weak split-half stability in the current 34-match product cohort.

Under-pressure impact / 100 actions

0.048

93rd percentile among GK players

n = 16 eligible peers · sample 116

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.

Reliable sample

Overall impact / 100 actions

-0.020

Passing impact / 100 passes

-0.069

Carrying impact / 100 carries

+0.064

Progressive-action impact / 100 actions

-0.053

Under-pressure impact / 100 actions

+0.048

116 actions · 73 passes · 43 carries · 57.8% 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

13 attempts

Limited sample
Actual
76.9%
Pass difficulty
60.1%
Actual vs. expected passing
+16.8 pp

Limited sample — interpret this split cautiously.

Progressive passing

31 attempts

Reliable sample
Actual
29.0%
Pass difficulty
38.1%
Actual vs. expected passing
-9.0 pp

Long passing

48 attempts

Reliable sample
Actual
50.0%
Pass difficulty
54.9%
Actual vs. expected passing

Progression profile

Progressive-pass rate

39.2%

Pressure-pass rate

16.5%

Average forward distance

30.0 m

Positive forward distance / 100

3003.2 m

Final-third entries / 100

7.6

Campos visualization

Pass map

Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.

Showing 1–79 of 79 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
98.8%
Outcome
Completed
Attacking impact
0.0001
Value before
0.0036
Value after
0.0037
Length
30.4 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.

-4.9 pp