FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Anton Stach

Hoffenheim · Center Defensive Midfield · MID

Matches observed2
Pass attempts96
Limited sample

Actual completion

74.0%

71 completed passes

Pass difficulty

78.2%

How difficult a pass was to complete.

Actual vs. expected passing

-4.3 pp

-4.1 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

78.2%

Unavailable among MID players

n = 13 eligible peers · sample 96

requires 100 passes

Under-pressure pass rate

14.6%

Unavailable among MID players

n = 13 eligible peers · sample 96

requires 100 passes

Progressive pass rate

28.1%

Unavailable among MID players

n = 13 eligible peers · sample 96

requires 100 passes

Long-pass rate

21.9%

Unavailable among MID players

n = 13 eligible peers · sample 96

requires 100 passes

Average forward distance

5.8 units

Unavailable among MID players

n = 13 eligible peers · sample 96

requires 100 passes

Positive forward distance / 100 passes

977.4 units

Unavailable among MID players

n = 13 eligible peers · sample 96

requires 100 passes

Final-third entries / 100 passes

15.625

Unavailable among MID players

n = 13 eligible peers · sample 96

requires 100 passes

Carry share of actions

41.7%

14th percentile among MID players

n = 61 eligible peers · sample 156

Progressive carry rate

7.7%

78th percentile among MID players

n = 66 eligible peers · sample 65

Progressive action rate

18.6%

93rd percentile among MID players

n = 61 eligible peers · sample 156

Under-pressure action rate

19.2%

33rd percentile among MID players

n = 61 eligible peers · sample 156

Shots / observed match

1.00 / match

Unavailable among MID players

n = 5 eligible peers · sample 2

requires 20 shots

xG / shot

3.7%

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

-4.3 pp

Unavailable among MID players

n = 13 eligible peers · sample 96

requires 100 passes

Under-pressure completion above expected

-7.1 pp

Unavailable among MID players

n = 10 eligible peers · sample 14

requires 20 pressure passes

Progressive completion above expected

-13.3 pp

Unavailable among MID players

n = 9 eligible peers · sample 27

requires 10 eligible position peers

Long-pass completion above expected

-8.4 pp

Unavailable among MID players

n = 9 eligible peers · sample 21

requires 10 eligible position peers

Goals above expected

0.926

Unavailable among MID players

n = 5 eligible peers · sample 2

requires 20 shots

Overall impact / 100 actions

-0.041

32nd percentile among MID players

n = 61 eligible peers · sample 156

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

Passing impact / 100 passes

-0.192

21st percentile among MID players

n = 58 eligible peers · sample 91

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

Carrying impact / 100 carries

0.169

77th percentile among MID players

n = 66 eligible peers · sample 65

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

Progressive-action impact / 100 actions

-0.046

10th percentile among MID players

n = 61 eligible peers · sample 156

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

Under-pressure impact / 100 actions

0.015

28th percentile among MID players

n = 61 eligible peers · sample 156

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

Playing style

Direct Progressor

Position-relative style among eligible MID players.

Style separation0.436

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty-1.72 z
Under-pressure pass rate-0.36 z
Progressive-pass rate+2.39 z
Long-pass rate+1.76 z
Positive forward distance / 100 passes+3.07 z
Carry share of actions-1.10 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

MID role

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

Role distance · lower is closer2.155
CloserFarther

Strongest alignment

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

Largest difference

Positive Forward Distance Per 100 Passes

limited sampleObserved across 2 matchesRole: 34 matches · 10 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

0.1

Goals above expected

+0.9

xG / shot

0.0

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
xG0.07
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

-0.041

Passing impact / 100 passes

-0.192

Carrying impact / 100 carries

+0.169

Progressive-action impact / 100 actions

-0.046

Under-pressure impact / 100 actions

+0.015

156 actions · 91 passes · 65 carries · 52.6% 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

14 attempts

Limited sample
Actual
64.3%
Pass difficulty
71.4%
Actual vs. expected passing
-7.1 pp

Limited sample — interpret this split cautiously.

Progressive passing

27 attempts

Reliable sample
Actual
33.3%
Pass difficulty
46.6%
Actual vs. expected passing
-13.3 pp

Long passing

21 attempts

Reliable sample
Actual
42.9%
Pass difficulty
51.2%
Actual vs. expected passing

Progression profile

Progressive-pass rate

28.1%

Pressure-pass rate

14.6%

Average forward distance

5.8 m

Positive forward distance / 100

977.4 m

Final-third entries / 100

15.6

Campos visualization

Pass map

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

Showing 1–96 of 96 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
98.8%
Outcome
Completed
Attacking impact
-0.0002
Value before
0.0118
Value after
0.0117
Length
9.0 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

Kevin Stöger

Bochum · Left Center Midfield

Style similarity

53.6 / 100

Long Pass RateProgressive Pass RatePressure Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#2 · Same position group

Daniel Olmo Carvajal

RB Leipzig · Left Attacking Midfield

Style similarity

48.7 / 100

-8.4 pp
Progressive Pass RateExpected Completion RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Arne Maier

Augsburg · Right Center Midfield

Style similarity

46.0 / 100

Pressure Pass RateProgressive Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Joshua Kimmich

Bayern Munich · Right Defensive Midfield

Style similarity

44.2 / 100

Carry Share Of ActionsLong Pass RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Lennard Maloney

FC Heidenheim · Right Defensive Midfield

Style similarity

43.6 / 100

Long Pass RatePressure Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Romano Schmid

Werder Bremen · Left Center Midfield

Style similarity

41.2 / 100

Long Pass RateExpected Completion RatePositive Forward Distance Per 100 Passes

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.