FSFootyScout
PlayersTeam IntelligenceScoutingLeaderboardCompareArchetypesModel

FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Waldemar Anton

VfB Stuttgart · Right Center Back · DEF

Matches observed2
Pass attempts146
Reliable sample

Actual completion

87.0%

127 completed passes

Pass difficulty

86.6%

How difficult a pass was to complete.

Actual vs. expected passing

+0.3 pp

+0.5 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.

102030405060708090Under-pressure pass rateProgressive pass rateLong-pass rateProgressive carry rateActual vs. expected passingCarrying impact / 100 carries
Style
Performance
0–100 empirical percentiles among eligible same-position peers.

Style

Tendencies describe what a player attempts; higher is not automatically better.

Pass difficulty

86.6%

45th percentile among DEF players

n = 23 eligible peers · sample 146

Under-pressure pass rate

4.1%

0th percentile among DEF players

n = 23 eligible peers · sample 146

Progressive pass rate

10.3%

27th percentile among DEF players

n = 23 eligible peers · sample 146

Long-pass rate

15.1%

55th percentile among DEF players

n = 23 eligible peers · sample 146

Average forward distance

5.6 units

59th percentile among DEF players

n = 23 eligible peers · sample 146

Positive forward distance / 100 passes

917.1 units

68th percentile among DEF players

n = 23 eligible peers · sample 146

Final-third entries / 100 passes

8.219

50th percentile among DEF players

n = 23 eligible peers · sample 146

Carry share of actions

47.7%

94th percentile among DEF players

n = 94 eligible peers · sample 258

Progressive carry rate

2.4%

51st percentile among DEF players

n = 87 eligible peers · sample 123

Progressive action rate

6.2%

25th percentile among DEF players

n = 94 eligible peers · sample 258

Under-pressure action rate

6.2%

9th percentile among DEF players

n = 94 eligible peers · sample 258

Shots / observed match

0.50 / match

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

xG / shot

3.1%

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

+0.3 pp

41st percentile among DEF players

n = 23 eligible peers · sample 146

Under-pressure completion above expected

-7.3 pp

Unavailable among DEF players

n = 13 eligible peers · sample 6

requires 20 pressure passes

Progressive completion above expected

+2.2 pp

Unavailable among DEF players

n = 17 eligible peers · sample 15

requires 20 progressive passes

Long-pass completion above expected

-4.4 pp

30th percentile among DEF players

n = 21 eligible peers · sample 22

Goals above expected

-0.031

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

0.002

38th percentile among DEF players

n = 94 eligible peers · sample 258

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

Passing impact / 100 passes

-0.054

42nd percentile among DEF players

n = 94 eligible peers · sample 135

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

Carrying impact / 100 carries

0.065

53rd percentile among DEF players

n = 87 eligible peers · sample 123

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

Progressive-action impact / 100 actions

-0.016

32nd percentile among DEF players

n = 94 eligible peers · sample 258

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

Under-pressure impact / 100 actions

0.002

22nd percentile among DEF players

n = 94 eligible peers · sample 258

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

Playing style

Safe Circulator

Position-relative style among eligible DEF players.

Style separation0.325

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+0.48 z
Under-pressure pass rate-1.48 z
Progressive-pass rate-0.82 z
Long-pass rate-0.13 z
Positive forward distance / 100 passes+0.16 z
Carry share of actions+1.33 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 closer0.797
CloserFarther

Strongest alignment

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

Largest difference

Pressure 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

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
xG0.03
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

+0.002

Passing impact / 100 passes

-0.054

Carrying impact / 100 carries

+0.065

Progressive-action impact / 100 actions

-0.016

Under-pressure impact / 100 actions

+0.002

258 actions · 135 passes · 123 carries · 52.7% 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

6 attempts

Limited sample
Actual
33.3%
Pass difficulty
40.6%
Actual vs. expected passing
-7.3 pp

Limited sample — interpret this split cautiously.

Progressive passing

15 attempts

Limited sample
Actual
33.3%
Pass difficulty
31.1%
Actual vs. expected passing
+2.2 pp

Limited sample — interpret this split cautiously.

Long passing

22 attempts

Reliable sample
Actual
50.0%
Pass difficulty
54.4%

Progression profile

Progressive-pass rate

10.3%

Pressure-pass rate

4.1%

Average forward distance

5.6 m

Positive forward distance / 100

917.1 m

Final-third entries / 100

8.2

Campos visualization

Pass map

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

Showing 1–146 of 146 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
98.7%
Outcome
Completed
Attacking impact
0.0001
Value before
0.0045
Value after
0.0046
Length
25.5 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

Dan-Axel Zagadou

VfB Stuttgart · Left Center Back

Style similarity

77.3 / 100

Pressure Pass RateLong Pass RateExpected Completion Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#2 · Same position group

Mohamed Simakan

RB Leipzig · Right Center Back

Style similarity

74.2 / 100

Actual vs. expected passing
-4.4 pp
Progressive Pass RatePressure Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Maximilian Wöber

Borussia Mönchengladbach · Left Center Back

Style similarity

73.6 / 100

Expected Completion RateLong Pass RateProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#4 · Same position group

Junior Castello Lukeba

RB Leipzig · Left Center Back

Style similarity

72.5 / 100

Carry Share Of ActionsPressure Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Willi Orban

RB Leipzig · Left Center Back

Style similarity

72.0 / 100

Progressive Pass RatePressure Pass RateLong Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#6 · Same position group

Odilon Kossonou

Bayer Leverkusen · Right Center Back

Style similarity

69.1 / 100

Progressive Pass RateExpected Completion RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 21 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.