FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Manuel Gulde

Freiburg · Left Center Back · DEF

Matches observed2
Pass attempts62
Limited sample

Actual completion

90.3%

56 completed passes

Pass difficulty

87.2%

How difficult a pass was to complete.

Actual vs. expected passing

+3.1 pp

+1.9 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

87.2%

Unavailable among DEF players

n = 23 eligible peers · sample 62

requires 100 passes

Under-pressure pass rate

8.1%

Unavailable among DEF players

n = 23 eligible peers · sample 62

requires 100 passes

Progressive pass rate

12.9%

Unavailable among DEF players

n = 23 eligible peers · sample 62

requires 100 passes

Long-pass rate

24.2%

Unavailable among DEF players

n = 23 eligible peers · sample 62

requires 100 passes

Average forward distance

9.3 units

Unavailable among DEF players

n = 23 eligible peers · sample 62

requires 100 passes

Positive forward distance / 100 passes

1134.7 units

Unavailable among DEF players

n = 23 eligible peers · sample 62

requires 100 passes

Final-third entries / 100 passes

6.452

Unavailable among DEF players

n = 23 eligible peers · sample 62

requires 100 passes

Carry share of actions

45.0%

67th percentile among DEF players

n = 94 eligible peers · sample 109

Progressive carry rate

2.0%

47th percentile among DEF players

n = 87 eligible peers · sample 49

Progressive action rate

8.3%

42nd percentile among DEF players

n = 94 eligible peers · sample 109

Under-pressure action rate

6.4%

10th percentile among DEF players

n = 94 eligible peers · sample 109

Shots / observed match

1.00 / match

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

xG / shot

19.6%

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

+3.1 pp

Unavailable among DEF players

n = 23 eligible peers · sample 62

requires 100 passes

Under-pressure completion above expected

-4.3 pp

Unavailable among DEF players

n = 13 eligible peers · sample 5

requires 20 pressure passes

Progressive completion above expected

-1.5 pp

Unavailable among DEF players

n = 17 eligible peers · sample 8

requires 20 progressive passes

Long-pass completion above expected

-0.5 pp

Unavailable among DEF players

n = 21 eligible peers · sample 15

requires 20 long passes

Goals above expected

0.609

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

Overall impact / 100 actions

0.034

69th percentile among DEF players

n = 94 eligible peers · sample 109

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

Passing impact / 100 passes

0.027

80th percentile among DEF players

n = 94 eligible peers · sample 60

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

Carrying impact / 100 carries

0.043

28th percentile among DEF players

n = 87 eligible peers · sample 49

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

Progressive-action impact / 100 actions

-0.003

43rd percentile among DEF players

n = 94 eligible peers · sample 109

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

Under-pressure impact / 100 actions

0.012

41st percentile among DEF players

n = 94 eligible peers · sample 109

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

Playing style

Direct Progressor

Position-relative style among eligible DEF players.

Style separation0.170

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty+0.58 z
Under-pressure pass rate-0.77 z
Progressive-pass rate-0.46 z
Long-pass rate+1.24 z
Positive forward distance / 100 passes+1.06 z
Carry share of actions+0.36 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 closer1.198
CloserFarther

Strongest alignment

  • Expected Completion Rate
  • Progressive Pass Rate
  • Carry Share Of Actions

Largest difference

Long Pass Rate

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

2

2 matches observed

Goals

1

Total xG

0.4

Goals above expected

+0.6

xG / shot

0.2

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
xG0.39
xG0.00 – 1.00
Header
Corner
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

+0.034

Passing impact / 100 passes

+0.027

Carrying impact / 100 carries

+0.043

Progressive-action impact / 100 actions

-0.003

Under-pressure impact / 100 actions

+0.012

109 actions · 60 passes · 49 carries · 55.0% 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

5 attempts

Limited sample
Actual
80.0%
Pass difficulty
84.3%
Actual vs. expected passing
-4.3 pp

Limited sample — interpret this split cautiously.

Progressive passing

8 attempts

Limited sample
Actual
37.5%
Pass difficulty
39.0%
Actual vs. expected passing
-1.5 pp

Limited sample — interpret this split cautiously.

Long passing

15 attempts

Limited sample
Actual
66.7%
Pass difficulty
67.1%

Progression profile

Progressive-pass rate

12.9%

Pressure-pass rate

8.1%

Average forward distance

9.3 m

Positive forward distance / 100

1134.7 m

Final-third entries / 100

6.5

Campos visualization

Pass map

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

Showing 1–62 of 62 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
99.3%
Outcome
Completed
Attacking impact
-0.0026
Value before
0.0160
Value after
0.0134
Length
23.9 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.

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

Eric Dier

Bayern Munich · Center Back

Style similarity

78.6 / 100

Expected Completion RateProgressive Pass RateCarry Share Of Actions

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#2 · Same position group

Moritz Jenz

Wolfsburg · Center Back

Style similarity

77.3 / 100

Actual vs. expected passing
-0.5 pp

Limited sample — interpret this split cautiously.

Positive Forward Distance Per 100 PassesExpected Completion RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Dan-Axel Zagadou

VfB Stuttgart · Left Center Back

Style similarity

75.4 / 100

Progressive Pass RatePositive Forward Distance Per 100 PassesExpected Completion Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#4 · Same position group

Maxence Lacroix

Wolfsburg · Left Center Back

Style similarity

74.9 / 100

Progressive Pass RateExpected Completion RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Timo Hübers

FC Köln · Right Center Back

Style similarity

74.6 / 100

Progressive Pass RatePositive Forward Distance Per 100 PassesExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Patrick Mainka

FC Heidenheim · Right Center Back

Style similarity

73.6 / 100

Positive Forward Distance Per 100 PassesExpected Completion RateProgressive Pass 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.