FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Yannik Keitel

Freiburg · Left Defensive Midfield · MID

Matches observed1
Pass attempts9
Limited sample

Actual completion

55.6%

5 completed passes

Pass difficulty

69.6%

How difficult a pass was to complete.

Actual vs. expected passing

-14.1 pp

-1.3 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.

Pass difficulty

69.6%

Unavailable among MID players

n = 13 eligible peers · sample 9

requires 100 passes

Under-pressure pass rate

22.2%

Unavailable among MID players

n = 13 eligible peers · sample 9

requires 100 passes

Progressive pass rate

22.2%

Unavailable among MID players

n = 13 eligible peers · sample 9

requires 100 passes

Long-pass rate

22.2%

Unavailable among MID players

n = 13 eligible peers · sample 9

requires 100 passes

Average forward distance

8.7 units

Unavailable among MID players

n = 13 eligible peers · sample 9

requires 100 passes

Positive forward distance / 100 passes

1093.3 units

Unavailable among MID players

n = 13 eligible peers · sample 9

requires 100 passes

Final-third entries / 100 passes

11.111

Unavailable among MID players

n = 13 eligible peers · sample 9

requires 100 passes

Carry share of actions

50.0%

Unavailable among MID players

n = 61 eligible peers · sample 18

requires 63 actions

Progressive carry rate

0.0%

Unavailable among MID players

n = 66 eligible peers · sample 9

requires 29 carries

Progressive action rate

11.1%

Unavailable among MID players

n = 61 eligible peers · sample 18

requires 63 actions

Under-pressure action rate

27.8%

Unavailable among MID players

n = 61 eligible peers · sample 18

requires 63 actions

Shots / observed match

2.00 / match

Unavailable among MID players

n = 5 eligible peers · sample 2

requires 20 shots

xG / shot

12.8%

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

-14.1 pp

Unavailable among MID players

n = 13 eligible peers · sample 9

requires 100 passes

Under-pressure completion above expected

+0.1 pp

Unavailable among MID players

n = 10 eligible peers · sample 2

requires 20 pressure passes

Progressive completion above expected

-20.2 pp

Unavailable among MID players

n = 9 eligible peers · sample 2

requires 20 progressive passes

Long-pass completion above expected

-14.0 pp

Unavailable among MID players

n = 9 eligible peers · sample 2

requires 20 long passes

Goals above expected

0.744

Unavailable among MID players

n = 5 eligible peers · sample 2

requires 20 shots

Overall impact / 100 actions

-0.876

Unavailable among MID players

n = 61 eligible peers · sample 18

requires 63 actions

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

Passing impact / 100 passes

-1.888

Unavailable among MID players

n = 58 eligible peers · sample 9

requires 36 passes

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

Carrying impact / 100 carries

0.137

Unavailable among MID players

n = 66 eligible peers · sample 9

requires 29 carries

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

Progressive-action impact / 100 actions

-0.599

Unavailable among MID players

n = 61 eligible peers · sample 18

requires 63 actions

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

Under-pressure impact / 100 actions

-0.451

Unavailable among MID players

n = 61 eligible peers · sample 18

requires 63 actions

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.

Limited sample

Shots

2

1 matches observed

Goals

1

Total xG

0.3

Goals above expected

+0.7

xG / shot

0.1

50.0% 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
Goals1
xG0.26
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.

Limited sample

Overall impact / 100 actions

-0.876

Passing impact / 100 passes

-1.888

Carrying impact / 100 carries

+0.137

Progressive-action impact / 100 actions

-0.599

Under-pressure impact / 100 actions

-0.451

18 actions · 9 passes · 9 carries · 38.9% 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

2 attempts

Limited sample
Actual
50.0%
Pass difficulty
49.9%
Actual vs. expected passing
+0.1 pp

Limited sample — interpret this split cautiously.

Progressive passing

2 attempts

Limited sample
Actual
0.0%
Pass difficulty
20.2%
Actual vs. expected passing
-20.2 pp

Limited sample — interpret this split cautiously.

Long passing

2 attempts

Limited sample
Actual
50.0%
Pass difficulty
64.0%

Progression profile

Progressive-pass rate

22.2%

Pressure-pass rate

22.2%

Average forward distance

8.7 m

Positive forward distance / 100

1093.3 m

Final-third entries / 100

11.1

Campos visualization

Pass map

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

Showing 1–9 of 9 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
88.8%
Outcome
Incomplete
Attacking impact
-0.0195
Value before
0.0195
Value after
0.0000
Length
7.8 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.

Actual vs. expected passing
-14.0 pp

Limited sample — interpret this split cautiously.