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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Josip Stanišić

Bayer Leverkusen · Right Center Back · DEF

Matches observed20
Pass attempts1,072
Reliable sample

Actual completion

89.8%

963 completed passes

Pass difficulty

87.4%

How difficult a pass was to complete.

Actual vs. expected passing

+2.4 pp

+25.9 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.

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

87.4%

55th percentile among DEF players

n = 23 eligible peers · sample 1072

Under-pressure pass rate

12.8%

68th percentile among DEF players

n = 23 eligible peers · sample 1072

Progressive pass rate

11.1%

32nd percentile among DEF players

n = 23 eligible peers · sample 1072

Long-pass rate

11.8%

32nd percentile among DEF players

n = 23 eligible peers · sample 1072

Average forward distance

2.3 units

36th percentile among DEF players

n = 23 eligible peers · sample 1072

Positive forward distance / 100 passes

674.6 units

18th percentile among DEF players

n = 23 eligible peers · sample 1072

Final-third entries / 100 passes

9.981

68th percentile among DEF players

n = 23 eligible peers · sample 1072

Carry share of actions

46.2%

83rd percentile among DEF players

n = 94 eligible peers · sample 1916

Progressive carry rate

4.6%

77th percentile among DEF players

n = 87 eligible peers · sample 886

Progressive action rate

7.7%

39th percentile among DEF players

n = 94 eligible peers · sample 1916

Under-pressure action rate

17.5%

60th percentile among DEF players

n = 94 eligible peers · sample 1916

Shots / observed match

0.50 / match

Unavailable among DEF players

n = 4 eligible peers · sample 10

requires 20 shots

xG / shot

7.1%

Unavailable among DEF players

n = 4 eligible peers · sample 10

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

+2.4 pp

91st percentile among DEF players

n = 23 eligible peers · sample 1072

Under-pressure completion above expected

+0.7 pp

58th percentile among DEF players

n = 13 eligible peers · sample 137

Progressive completion above expected

+9.9 pp

88th percentile among DEF players

n = 17 eligible peers · sample 119

Long-pass completion above expected

+6.2 pp

95th percentile among DEF players

n = 21 eligible peers · sample 126

Goals above expected

2.293

Unavailable among DEF players

n = 4 eligible peers · sample 10

requires 20 shots

Overall impact / 100 actions

0.049

75th percentile among DEF players

n = 94 eligible peers · sample 1916

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

Passing impact / 100 passes

0.004

67th percentile among DEF players

n = 94 eligible peers · sample 1030

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

Carrying impact / 100 carries

0.102

74th percentile among DEF players

n = 87 eligible peers · sample 886

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

Progressive-action impact / 100 actions

0.051

76th percentile among DEF players

n = 94 eligible peers · sample 1916

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

Under-pressure impact / 100 actions

0.031

72nd percentile among DEF players

n = 94 eligible peers · sample 1916

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

Playing style

Safe Circulator

Position-relative style among eligible DEF players.

Style separation0.817

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+0.62 z
Under-pressure pass rate+0.09 z
Progressive-pass rate-0.71 z
Long-pass rate-0.62 z
Positive forward distance / 100 passes-0.84 z
Carry share of actions+0.82 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 the observed role of Leverkusen's other DEF contributors.

Role distance · lower is closer0.141
CloserFarther

Strongest alignment

  • Positive Forward Distance Per 100 Passes
  • Expected Completion Rate
  • Carry Share Of Actions

Largest difference

Long Pass Rate

higher sampleObserved across 20 matchesRole: 34 matches · 8 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

10

7 matches observed

Goals

3

Total xG

0.7

Goals above expected

+2.3

xG / shot

0.1

30.0% 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.

Shots10
Goals3
xG0.71
xG0.00 – 1.00
Foot
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

+0.049

Passing impact / 100 passes

+0.004

Carrying impact / 100 carries

+0.102

Progressive-action impact / 100 actions

+0.051

Under-pressure impact / 100 actions

+0.031

1,916 actions · 1,030 passes · 886 carries · 57.8% 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

137 attempts

Reliable sample
Actual
81.0%
Pass difficulty
80.3%
Actual vs. expected passing
+0.7 pp

Progressive passing

119 attempts

Reliable sample
Actual
56.3%
Pass difficulty
46.4%
Actual vs. expected passing
+9.9 pp

Long passing

126 attempts

Reliable sample
Actual
73.8%
Pass difficulty
67.6%
Actual vs. expected passing
+6.2 pp

Progression profile

Progressive-pass rate

11.1%

Pressure-pass rate

12.8%

Average forward distance

2.3 m

Positive forward distance / 100

674.6 m

Final-third entries / 100

10.0

Campos visualization

Pass map

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

Showing 1–200 of 1,072 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
99.8%
Outcome
Completed
Attacking impact
-0.0001
Value before
0.0129
Value after
0.0128
Length
32.4 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.

#1 · Same position group

Lucas Silva Melo

Eintracht Frankfurt · Right Back

Style similarity

90.0 / 100

Carry Share Of ActionsProgressive Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 20 vs 2 matches

#2 · Same position group

Odilon Kossonou

Bayer Leverkusen · Right Center Back

Style similarity

86.5 / 100

Carry Share Of Actions
Long Pass Rate
Progressive Pass Rate

Sample support: Higher · 20 limiting matches

Observed: 20 vs 21 matches

#3 · Same position group

Julian Ryerson

Borussia Dortmund · Left Back

Style similarity

82.8 / 100

Expected Completion RateLong Pass RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 20 vs 2 matches

#4 · Same position group

Piero Martín Hincapié Reyna

Bayer Leverkusen · Left Center Back

Style similarity

80.9 / 100

Carry Share Of ActionsPositive Forward Distance Per 100 PassesLong Pass Rate

Sample support: Higher · 20 limiting matches

Observed: 20 vs 25 matches

#5 · Same position group

Kevin Akpoguma

Hoffenheim · Left Center Back

Style similarity

76.7 / 100

Progressive Pass RateExpected Completion RateLong Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 20 vs 1 matches

#6 · Same position group

Edmond Fayçal Tapsoba

Bayer Leverkusen · Left Center Back

Style similarity

76.2 / 100

Carry Share Of ActionsProgressive Pass RatePressure Pass Rate

Sample support: Higher · 20 limiting matches

Observed: 20 vs 27 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.