FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Frederik Rønnow

Union Berlin · Goalkeeper · GK

Matches observed2
Pass attempts81
Limited sample

Actual completion

63.0%

51 completed passes

Pass difficulty

64.0%

How difficult a pass was to complete.

Actual vs. expected passing

-1.1 pp

-0.9 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

64.0%

Unavailable among GK players

n = 4 eligible peers · sample 81

requires 100 passes

Under-pressure pass rate

19.8%

Unavailable among GK players

n = 4 eligible peers · sample 81

requires 100 passes

Progressive pass rate

49.4%

Unavailable among GK players

n = 4 eligible peers · sample 81

requires 100 passes

Long-pass rate

59.3%

Unavailable among GK players

n = 4 eligible peers · sample 81

requires 100 passes

Average forward distance

35.1 units

Unavailable among GK players

n = 4 eligible peers · sample 81

requires 100 passes

Positive forward distance / 100 passes

3513.6 units

Unavailable among GK players

n = 4 eligible peers · sample 81

requires 100 passes

Final-third entries / 100 passes

14.815

Unavailable among GK players

n = 4 eligible peers · sample 81

requires 100 passes

Carry share of actions

37.8%

67th percentile among GK players

n = 16 eligible peers · sample 127

Progressive carry rate

0.0%

50th percentile among GK players

n = 14 eligible peers · sample 48

Progressive action rate

30.7%

73rd percentile among GK players

n = 16 eligible peers · sample 127

Under-pressure action rate

22.8%

73rd percentile among GK players

n = 16 eligible peers · sample 127

Shots / observed match

1.00 / match

Unavailable among GK players

n = 0 eligible peers · sample 2

requires 20 shots

xG / shot

9.5%

Unavailable among GK players

n = 0 eligible peers · sample 2

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

-1.1 pp

Unavailable among GK players

n = 4 eligible peers · sample 81

requires 100 passes

Under-pressure completion above expected

-6.3 pp

Unavailable among GK players

n = 4 eligible peers · sample 16

requires 20 pressure passes

Progressive completion above expected

+0.1 pp

44th percentile among GK players

n = 17 eligible peers · sample 40

Long-pass completion above expected

-2.3 pp

33rd percentile among GK players

n = 19 eligible peers · sample 48

Goals above expected

-0.190

Unavailable among GK players

n = 0 eligible peers · sample 2

requires 20 shots

Overall impact / 100 actions

-0.077

20th percentile among GK players

n = 16 eligible peers · sample 127

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

Passing impact / 100 passes

-0.145

25th percentile among GK players

n = 17 eligible peers · sample 79

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

Carrying impact / 100 carries

0.034

15th percentile among GK players

n = 14 eligible peers · sample 48

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

Progressive-action impact / 100 actions

-0.085

40th percentile among GK players

n = 16 eligible peers · sample 127

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

Under-pressure impact / 100 actions

0.002

13th percentile among GK players

n = 16 eligible peers · sample 127

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.

Expected Goals

Non-penalty shooting

Goals above expected is descriptive for this observed sample, not a definitive finishing-skill rating.

Limited sample

Shots

2

1 matches observed

Goals

0

Total xG

0.2

Goals above expected

-0.2

xG / shot

0.1

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
xG0.19
xG0.00 – 1.00
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.

Reliable sample

Overall impact / 100 actions

-0.077

Passing impact / 100 passes

-0.145

Carrying impact / 100 carries

+0.034

Progressive-action impact / 100 actions

-0.085

Under-pressure impact / 100 actions

+0.002

127 actions · 79 passes · 48 carries · 44.9% 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

16 attempts

Limited sample
Actual
43.8%
Pass difficulty
50.1%
Actual vs. expected passing
-6.3 pp

Limited sample — interpret this split cautiously.

Progressive passing

40 attempts

Reliable sample
Actual
35.0%
Pass difficulty
34.9%
Actual vs. expected passing
+0.1 pp

Long passing

48 attempts

Reliable sample
Actual
39.6%
Pass difficulty
41.9%
Actual vs. expected passing

Progression profile

Progressive-pass rate

49.4%

Pressure-pass rate

19.8%

Average forward distance

35.1 m

Positive forward distance / 100

3513.6 m

Final-third entries / 100

14.8

Campos visualization

Pass map

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

Showing 1–81 of 81 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
19.9%
Outcome
Incomplete
Attacking impact
—
Value before
—
Value after
—
Length
63.2 m
Context
Progressive · 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.

-2.3 pp