FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Timo Werner

RB Leipzig · Left Midfield · MID

Matches observed1
Pass attempts16
Limited sample

Actual completion

50.0%

8 completed passes

Pass difficulty

76.3%

How difficult a pass was to complete.

Actual vs. expected passing

-26.3 pp

-4.2 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

76.3%

Unavailable among MID players

n = 13 eligible peers · sample 16

requires 100 passes

Under-pressure pass rate

6.3%

Unavailable among MID players

n = 13 eligible peers · sample 16

requires 100 passes

Progressive pass rate

18.8%

Unavailable among MID players

n = 13 eligible peers · sample 16

requires 100 passes

Long-pass rate

18.8%

Unavailable among MID players

n = 13 eligible peers · sample 16

requires 100 passes

Average forward distance

1.4 units

Unavailable among MID players

n = 13 eligible peers · sample 16

requires 100 passes

Positive forward distance / 100 passes

801.2 units

Unavailable among MID players

n = 13 eligible peers · sample 16

requires 100 passes

Final-third entries / 100 passes

12.500

Unavailable among MID players

n = 13 eligible peers · sample 16

requires 100 passes

Carry share of actions

59.4%

Unavailable among MID players

n = 61 eligible peers · sample 32

requires 63 actions

Progressive carry rate

10.5%

Unavailable among MID players

n = 66 eligible peers · sample 19

requires 29 carries

Progressive action rate

9.4%

Unavailable among MID players

n = 61 eligible peers · sample 32

requires 63 actions

Under-pressure action rate

34.4%

Unavailable among MID players

n = 61 eligible peers · sample 32

requires 63 actions

Shots / observed match

1.00 / match

Unavailable among MID players

n = 5 eligible peers · sample 1

requires 20 shots

xG / shot

4.5%

Unavailable among MID players

n = 5 eligible peers · sample 1

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

-26.3 pp

Unavailable among MID players

n = 13 eligible peers · sample 16

requires 100 passes

Under-pressure completion above expected

-90.8 pp

Unavailable among MID players

n = 10 eligible peers · sample 1

requires 20 pressure passes

Progressive completion above expected

-40.3 pp

Unavailable among MID players

n = 9 eligible peers · sample 3

requires 20 progressive passes

Long-pass completion above expected

-15.2 pp

Unavailable among MID players

n = 9 eligible peers · sample 3

requires 20 long passes

Goals above expected

-0.045

Unavailable among MID players

n = 5 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

-0.033

Unavailable among MID players

n = 61 eligible peers · sample 32

requires 63 actions

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

Passing impact / 100 passes

-0.494

Unavailable among MID players

n = 58 eligible peers · sample 13

requires 36 passes

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

Carrying impact / 100 carries

0.282

Unavailable among MID players

n = 66 eligible peers · sample 19

requires 29 carries

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

Progressive-action impact / 100 actions

0.044

Unavailable among MID players

n = 61 eligible peers · sample 32

requires 63 actions

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

Under-pressure impact / 100 actions

0.082

Unavailable among MID players

n = 61 eligible peers · sample 32

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

1

1 matches observed

Goals

0

Total xG

0.0

Goals above expected

-0.0

xG / shot

0.0

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.

Shots1
Goals0
xG0.05
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

-0.033

Passing impact / 100 passes

-0.494

Carrying impact / 100 carries

+0.282

Progressive-action impact / 100 actions

+0.044

Under-pressure impact / 100 actions

+0.082

32 actions · 13 passes · 19 carries · 40.6% 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

1 attempts

Limited sample
Actual
0.0%
Pass difficulty
90.8%
Actual vs. expected passing
-90.8 pp

Limited sample — interpret this split cautiously.

Progressive passing

3 attempts

Limited sample
Actual
0.0%
Pass difficulty
40.3%
Actual vs. expected passing
-40.3 pp

Limited sample — interpret this split cautiously.

Long passing

3 attempts

Limited sample
Actual
33.3%
Pass difficulty
48.5%

Progression profile

Progressive-pass rate

18.8%

Pressure-pass rate

6.3%

Average forward distance

1.4 m

Positive forward distance / 100

801.2 m

Final-third entries / 100

12.5

Campos visualization

Pass map

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

Showing 1–16 of 16 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
97.2%
Outcome
Completed
Attacking impact
-0.0057
Value before
0.0118
Value after
0.0061
Length
31.9 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
-15.2 pp

Limited sample — interpret this split cautiously.