FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Timo Hübers

FC Köln · Right Center Back · DEF

Matches observed2
Pass attempts91
Limited sample

Actual completion

84.6%

77 completed passes

Pass difficulty

85.7%

How difficult a pass was to complete.

Actual vs. expected passing

-1.1 pp

-1.0 completions vs model expectation

Actual pass completion compared with the model's expected completion.

Player intelligence

Position profile

DEF 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

85.7%

Unavailable among DEF players

n = 23 eligible peers · sample 91

requires 100 passes

Under-pressure pass rate

13.2%

Unavailable among DEF players

n = 23 eligible peers · sample 91

requires 100 passes

Progressive pass rate

12.1%

Unavailable among DEF players

n = 23 eligible peers · sample 91

requires 100 passes

Long-pass rate

19.8%

Unavailable among DEF players

n = 23 eligible peers · sample 91

requires 100 passes

Average forward distance

6.7 units

Unavailable among DEF players

n = 23 eligible peers · sample 91

requires 100 passes

Positive forward distance / 100 passes

1078.0 units

Unavailable among DEF players

n = 23 eligible peers · sample 91

requires 100 passes

Final-third entries / 100 passes

5.495

Unavailable among DEF players

n = 23 eligible peers · sample 91

requires 100 passes

Carry share of actions

43.4%

33rd percentile among DEF players

n = 94 eligible peers · sample 143

Progressive carry rate

0.0%

16th percentile among DEF players

n = 87 eligible peers · sample 62

Progressive action rate

4.9%

14th percentile among DEF players

n = 94 eligible peers · sample 143

Under-pressure action rate

16.8%

54th percentile among DEF players

n = 94 eligible peers · sample 143

Shots / observed match

0.50 / match

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

xG / shot

7.5%

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

-1.1 pp

Unavailable among DEF players

n = 23 eligible peers · sample 91

requires 100 passes

Under-pressure completion above expected

+5.9 pp

Unavailable among DEF players

n = 13 eligible peers · sample 12

requires 20 pressure passes

Progressive completion above expected

-10.9 pp

Unavailable among DEF players

n = 17 eligible peers · sample 11

requires 20 progressive passes

Long-pass completion above expected

-11.2 pp

Unavailable among DEF players

n = 21 eligible peers · sample 18

requires 20 long passes

Goals above expected

-0.075

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

0.005

43rd percentile among DEF players

n = 94 eligible peers · sample 143

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

Passing impact / 100 passes

-0.014

60th percentile among DEF players

n = 94 eligible peers · sample 81

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

Carrying impact / 100 carries

0.031

19th percentile among DEF players

n = 87 eligible peers · sample 62

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

Progressive-action impact / 100 actions

-0.019

31st percentile among DEF players

n = 94 eligible peers · sample 143

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

Under-pressure impact / 100 actions

0.027

63rd percentile among DEF players

n = 94 eligible peers · sample 143

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

Playing style

Direct Progressor

Position-relative style among eligible DEF players.

Style separation0.080

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty+0.32 z
Under-pressure pass rate+0.16 z
Progressive-pass rate-0.57 z
Long-pass rate+0.58 z
Positive forward distance / 100 passes+0.82 z
Carry share of actions-0.22 z

Bars are z-scores relative to eligible positional peers, not percentiles or ratings. Distance-based style separation, not a probability. Smaller values mean the player lies nearer the boundary between the two archetypes.

Leverkusen Role Fit

DEF role

How closely a player's playing style matches this role. Compared with Bayer Leverkusen's observed DEF role.

Role distance · lower is closer0.996
CloserFarther

Strongest alignment

  • Progressive Pass Rate
  • Pressure Pass Rate
  • Expected Completion Rate

Largest difference

Positive Forward Distance Per 100 Passes

limited sampleObserved across 2 matchesRole: 34 matches · 9 contributors

Role Fit measures how closely a player's observed playing style resembles Bayer Leverkusen's observed positional-role style. It does not predict transfer success or future performance.

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

0.1

Goals above expected

-0.1

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.

Shots1
Goals0
xG0.08
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

+0.005

Passing impact / 100 passes

-0.014

Carrying impact / 100 carries

+0.031

Progressive-action impact / 100 actions

-0.019

Under-pressure impact / 100 actions

+0.027

143 actions · 81 passes · 62 carries · 54.5% 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

12 attempts

Limited sample
Actual
91.7%
Pass difficulty
85.7%
Actual vs. expected passing
+5.9 pp

Limited sample — interpret this split cautiously.

Progressive passing

11 attempts

Limited sample
Actual
27.3%
Pass difficulty
38.2%
Actual vs. expected passing
-10.9 pp

Limited sample — interpret this split cautiously.

Long passing

18 attempts

Limited sample
Actual
50.0%
Pass difficulty
61.2%

Progression profile

Progressive-pass rate

12.1%

Pressure-pass rate

13.2%

Average forward distance

6.7 m

Positive forward distance / 100

1078.0 m

Final-third entries / 100

5.5

Campos visualization

Pass map

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

Showing 1–91 of 91 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
99.8%
Outcome
Completed
Attacking impact
0.0003
Value before
0.0028
Value after
0.0031
Length
23.4 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.

Limited sample: this player's style profile is based on 2 observed matches, so nearest-neighbor rankings may be less stable.

#1 · Same position group

Moritz Jenz

Wolfsburg · Center Back

Style similarity

87.6 / 100

Pressure Pass RateCarry Share Of ActionsExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Patrick Mainka

FC Heidenheim · Right Center Back

Style similarity

87.2 / 100

Actual vs. expected passing
-11.2 pp

Limited sample — interpret this split cautiously.

Carry Share Of ActionsExpected Completion RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Anthony Jung

Werder Bremen · Left Center Back

Style similarity

85.8 / 100

Positive Forward Distance Per 100 PassesProgressive Pass RateCarry Share Of Actions

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#4 · Same position group

Diogo Filipe Monteiro Pinto Leite

Union Berlin · Left Center Back

Style similarity

85.7 / 100

Expected Completion RatePressure Pass RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Maxence Lacroix

Wolfsburg · Left Center Back

Style similarity

81.0 / 100

Progressive Pass RateLong Pass RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Ozan Muhammed Kabak

Hoffenheim · Right Center Back

Style similarity

79.2 / 100

Pressure Pass RateCarry Share Of ActionsExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

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.