FSFootyScout
PlayersTeam IntelligenceScoutingLeaderboardCompareArchetypesModel

FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Gregor Kobel

Borussia Dortmund · Goalkeeper · GK

Matches observed2
Pass attempts97
Limited sample

Actual completion

74.2%

72 completed passes

Pass difficulty

69.0%

How difficult a pass was to complete.

Actual vs. expected passing

+5.3 pp

+5.1 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

69.0%

Unavailable among GK players

n = 4 eligible peers · sample 97

requires 100 passes

Under-pressure pass rate

11.3%

Unavailable among GK players

n = 4 eligible peers · sample 97

requires 100 passes

Progressive pass rate

44.3%

Unavailable among GK players

n = 4 eligible peers · sample 97

requires 100 passes

Long-pass rate

59.8%

Unavailable among GK players

n = 4 eligible peers · sample 97

requires 100 passes

Average forward distance

30.6 units

Unavailable among GK players

n = 4 eligible peers · sample 97

requires 100 passes

Positive forward distance / 100 passes

3066.9 units

Unavailable among GK players

n = 4 eligible peers · sample 97

requires 100 passes

Final-third entries / 100 passes

2.062

Unavailable among GK players

n = 4 eligible peers · sample 97

requires 100 passes

Carry share of actions

34.5%

33rd percentile among GK players

n = 16 eligible peers · sample 142

Progressive carry rate

0.0%

50th percentile among GK players

n = 14 eligible peers · sample 49

Progressive action rate

28.2%

53rd percentile among GK players

n = 16 eligible peers · sample 142

Under-pressure action rate

13.4%

27th percentile among GK players

n = 16 eligible peers · sample 142

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

+5.3 pp

Unavailable among GK players

n = 4 eligible peers · sample 97

requires 100 passes

Under-pressure completion above expected

+21.0 pp

Unavailable among GK players

n = 4 eligible peers · sample 11

requires 20 pressure passes

Progressive completion above expected

+10.2 pp

81st percentile among GK players

n = 17 eligible peers · sample 43

Long-pass completion above expected

+8.4 pp

89th percentile among GK players

n = 19 eligible peers · sample 58

Goals above expected

0.000

Unavailable among GK players

n = 0 eligible peers · sample 0

requires 20 shots

Overall impact / 100 actions

-0.062

33rd percentile among GK players

n = 16 eligible peers · sample 142

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

Passing impact / 100 passes

-0.117

38th percentile among GK players

n = 17 eligible peers · sample 93

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

Carrying impact / 100 carries

0.041

23rd percentile among GK players

n = 14 eligible peers · sample 49

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

Progressive-action impact / 100 actions

-0.089

27th percentile among GK players

n = 16 eligible peers · sample 142

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

Under-pressure impact / 100 actions

0.017

47th percentile among GK players

n = 16 eligible peers · sample 142

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

-0.062

Passing impact / 100 passes

-0.117

Carrying impact / 100 carries

+0.041

Progressive-action impact / 100 actions

-0.089

Under-pressure impact / 100 actions

+0.017

142 actions · 93 passes · 49 carries · 62.7% 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

11 attempts

Limited sample
Actual
81.8%
Pass difficulty
60.9%
Actual vs. expected passing
+21.0 pp

Limited sample — interpret this split cautiously.

Progressive passing

43 attempts

Reliable sample
Actual
44.2%
Pass difficulty
34.0%
Actual vs. expected passing
+10.2 pp

Long passing

58 attempts

Reliable sample
Actual
58.6%
Pass difficulty
50.2%
Actual vs. expected passing

Progression profile

Progressive-pass rate

44.3%

Pressure-pass rate

11.3%

Average forward distance

30.6 m

Positive forward distance / 100

3066.9 m

Final-third entries / 100

2.1

Campos visualization

Pass map

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

Showing 1–97 of 97 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
94.4%
Outcome
Completed
Attacking impact
0.0032
Value before
0.0027
Value after
0.0059
Length
26.4 m
Context
Under pressure
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.

+8.4 pp