FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Odilon Kossonou

Bayer Leverkusen · Right Center Back · DEF

Matches observed21
Pass attempts1,422
Reliable sample

Actual completion

90.6%

1,288 completed passes

Pass difficulty

89.5%

How difficult a pass was to complete.

Actual vs. expected passing

+1.1 pp

+16.0 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.

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

89.5%

64th percentile among DEF players

n = 23 eligible peers · sample 1422

Under-pressure pass rate

10.5%

45th percentile among DEF players

n = 23 eligible peers · sample 1422

Progressive pass rate

9.8%

23rd percentile among DEF players

n = 23 eligible peers · sample 1422

Long-pass rate

10.6%

18th percentile among DEF players

n = 23 eligible peers · sample 1422

Average forward distance

4.2 units

41st percentile among DEF players

n = 23 eligible peers · sample 1422

Positive forward distance / 100 passes

744.4 units

41st percentile among DEF players

n = 23 eligible peers · sample 1422

Final-third entries / 100 passes

11.603

86th percentile among DEF players

n = 23 eligible peers · sample 1422

Carry share of actions

46.3%

84th percentile among DEF players

n = 94 eligible peers · sample 2591

Progressive carry rate

3.8%

69th percentile among DEF players

n = 87 eligible peers · sample 1199

Progressive action rate

6.8%

32nd percentile among DEF players

n = 94 eligible peers · sample 2591

Under-pressure action rate

14.9%

45th percentile among DEF players

n = 94 eligible peers · sample 2591

Shots / observed match

0.24 / match

Unavailable among DEF players

n = 4 eligible peers · sample 5

requires 20 shots

xG / shot

7.4%

Unavailable among DEF players

n = 4 eligible peers · sample 5

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

+1.1 pp

59th percentile among DEF players

n = 23 eligible peers · sample 1422

Under-pressure completion above expected

-1.0 pp

17th percentile among DEF players

n = 13 eligible peers · sample 150

Progressive completion above expected

-1.0 pp

25th percentile among DEF players

n = 17 eligible peers · sample 139

Long-pass completion above expected

-3.0 pp

40th percentile among DEF players

n = 21 eligible peers · sample 151

Goals above expected

0.628

Unavailable among DEF players

n = 4 eligible peers · sample 5

requires 20 shots

Overall impact / 100 actions

0.041

73rd percentile among DEF players

n = 94 eligible peers · sample 2591

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

Passing impact / 100 passes

0.009

71st percentile among DEF players

n = 94 eligible peers · sample 1392

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

Carrying impact / 100 carries

0.078

65th percentile among DEF players

n = 87 eligible peers · sample 1199

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

Progressive-action impact / 100 actions

0.022

66th percentile among DEF players

n = 94 eligible peers · sample 2591

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

Under-pressure impact / 100 actions

0.031

73rd percentile among DEF players

n = 94 eligible peers · sample 2591

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

Playing style

Safe Circulator

Position-relative style among eligible DEF players.

Style separation0.736

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+0.97 z
Under-pressure pass rate-0.32 z
Progressive-pass rate-0.89 z
Long-pass rate-0.80 z
Positive forward distance / 100 passes-0.55 z
Carry share of actions+0.83 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 closer0.280
CloserFarther

Strongest alignment

  • Long Pass Rate
  • Carry Share Of Actions
  • Pressure Pass Rate

Largest difference

Expected Completion Rate

higher sampleObserved across 21 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

5

5 matches observed

Goals

1

Total xG

0.4

Goals above expected

+0.6

xG / shot

0.1

20.0% 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.

Shots5
Goals1
xG0.37
xG0.00 – 1.00
Foot
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

+0.041

Passing impact / 100 passes

+0.009

Carrying impact / 100 carries

+0.078

Progressive-action impact / 100 actions

+0.022

Under-pressure impact / 100 actions

+0.031

2,591 actions · 1,392 passes · 1,199 carries · 57.4% 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

150 attempts

Reliable sample
Actual
81.3%
Pass difficulty
82.4%
Actual vs. expected passing
-1.0 pp

Progressive passing

139 attempts

Reliable sample
Actual
58.3%
Pass difficulty
59.3%
Actual vs. expected passing
-1.0 pp

Long passing

151 attempts

Reliable sample
Actual
73.5%
Pass difficulty
76.5%
Actual vs. expected passing
-3.0 pp

Progression profile

Progressive-pass rate

9.8%

Pressure-pass rate

10.5%

Average forward distance

4.2 m

Positive forward distance / 100

744.4 m

Final-third entries / 100

11.6

Campos visualization

Pass map

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

Showing 1–200 of 1,422 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
93.1%
Outcome
Incomplete
Attacking impact
—
Value before
—
Value after
—
Length
13.1 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

Piero Martín Hincapié Reyna

Bayer Leverkusen · Left Center Back

Style similarity

91.2 / 100

Positive Forward Distance Per 100 PassesExpected Completion RatePressure Pass Rate

Sample support: Higher · 21 limiting matches

Observed: 21 vs 25 matches

#2 · Same position group

Josip Stanišić

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: 21 vs 20 matches

#3 · Same position group

Jonathan Tah

Bayer Leverkusen · Center Back

Style similarity

84.3 / 100

Pressure Pass RatePositive Forward Distance Per 100 PassesCarry Share Of Actions

Sample support: Higher · 21 limiting matches

Observed: 21 vs 31 matches

#4 · Same position group

Julian Ryerson

Borussia Dortmund · Left Back

Style similarity

81.7 / 100

Pressure Pass RateCarry Share Of ActionsLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 21 vs 2 matches

#5 · Same position group

Edmond Fayçal Tapsoba

Bayer Leverkusen · Left Center Back

Style similarity

80.3 / 100

Carry Share Of ActionsExpected Completion RatePressure Pass Rate

Sample support: Higher · 21 limiting matches

Observed: 21 vs 27 matches

#6 · Same position group

Lucas Silva Melo

Eintracht Frankfurt · Right Back

Style similarity

80.1 / 100

Carry Share Of ActionsPositive Forward Distance Per 100 PassesProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 21 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.