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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Jonathan Tah

Bayer Leverkusen · Center Back · DEF

Matches observed31
Pass attempts2,167
Reliable sample

Actual completion

94.9%

2,057 completed passes

Pass difficulty

91.8%

How difficult a pass was to complete.

Actual vs. expected passing

+3.1 pp

+68.1 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

91.8%

95th percentile among DEF players

n = 23 eligible peers · sample 2167

Under-pressure pass rate

10.8%

50th percentile among DEF players

n = 23 eligible peers · sample 2167

Progressive pass rate

5.9%

0th percentile among DEF players

n = 23 eligible peers · sample 2167

Long-pass rate

8.7%

9th percentile among DEF players

n = 23 eligible peers · sample 2167

Average forward distance

6.6 units

68th percentile among DEF players

n = 23 eligible peers · sample 2167

Positive forward distance / 100 passes

763.7 units

50th percentile among DEF players

n = 23 eligible peers · sample 2167

Final-third entries / 100 passes

8.122

45th percentile among DEF players

n = 23 eligible peers · sample 2167

Carry share of actions

45.6%

72nd percentile among DEF players

n = 94 eligible peers · sample 3810

Progressive carry rate

1.1%

38th percentile among DEF players

n = 87 eligible peers · sample 1736

Progressive action rate

3.3%

5th percentile among DEF players

n = 94 eligible peers · sample 3810

Under-pressure action rate

11.2%

27th percentile among DEF players

n = 94 eligible peers · sample 3810

Shots / observed match

0.84 / match

Unavailable among DEF players

n = 4 eligible peers · sample 26

requires 10 eligible position peers

xG / shot

8.6%

Unavailable among DEF players

n = 4 eligible peers · sample 26

requires 10 eligible position peers

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

+3.1 pp

100th percentile among DEF players

n = 23 eligible peers · sample 2167

Under-pressure completion above expected

+5.1 pp

92nd percentile among DEF players

n = 13 eligible peers · sample 233

Progressive completion above expected

+11.6 pp

94th percentile among DEF players

n = 17 eligible peers · sample 128

Long-pass completion above expected

+3.5 pp

80th percentile among DEF players

n = 21 eligible peers · sample 188

Goals above expected

1.776

Unavailable among DEF players

n = 4 eligible peers · sample 26

requires 10 eligible position peers

Overall impact / 100 actions

0.056

83rd percentile among DEF players

n = 94 eligible peers · sample 3810

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

Passing impact / 100 passes

0.056

87th percentile among DEF players

n = 94 eligible peers · sample 2074

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

Carrying impact / 100 carries

0.057

44th percentile among DEF players

n = 87 eligible peers · sample 1736

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

Progressive-action impact / 100 actions

0.003

55th percentile among DEF players

n = 94 eligible peers · sample 3810

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

Under-pressure impact / 100 actions

0.018

53rd percentile among DEF players

n = 94 eligible peers · sample 3810

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

Playing style

Safe Circulator

Position-relative style among eligible DEF players.

Style separation0.644

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+1.37 z
Under-pressure pass rate-0.28 z
Progressive-pass rate-1.42 z
Long-pass rate-1.09 z
Positive forward distance / 100 passes-0.47 z
Carry share of actions+0.58 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 closer0.624
CloserFarther

Strongest alignment

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

Largest difference

Progressive Pass Rate

higher sampleObserved across 31 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.

Reliable sample

Shots

26

18 matches observed

Goals

4

Total xG

2.2

Goals above expected

+1.8

xG / shot

0.1

15.4% goals / shot

Campos visualization

Shot map

Non-penalty xG is encoded by marker size and color. Preserved penalties have no modeled xG.

Shots26
Goals4
xG2.22
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

+0.056

Passing impact / 100 passes

+0.056

Carrying impact / 100 carries

+0.057

Progressive-action impact / 100 actions

+0.003

Under-pressure impact / 100 actions

+0.018

3,810 actions · 2,074 passes · 1,736 carries · 64.7% 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

233 attempts

Reliable sample
Actual
86.7%
Pass difficulty
81.6%
Actual vs. expected passing
+5.1 pp

Progressive passing

128 attempts

Reliable sample
Actual
69.5%
Pass difficulty
58.0%
Actual vs. expected passing
+11.6 pp

Long passing

188 attempts

Reliable sample
Actual
86.2%
Pass difficulty
82.7%
Actual vs. expected passing
+3.5 pp

Progression profile

Progressive-pass rate

5.9%

Pressure-pass rate

10.8%

Average forward distance

6.6 m

Positive forward distance / 100

763.7 m

Final-third entries / 100

8.1

Campos visualization

Pass map

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

Showing 1–200 of 2,167 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
97.9%
Outcome
Completed
Attacking impact
0.0019
Value before
0.0126
Value after
0.0145
Length
26.7 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

90.6 / 100

Carry Share Of ActionsPositive Forward Distance Per 100 PassesLong Pass Rate

Sample support: Higher · 25 limiting matches

Observed: 31 vs 25 matches

#2 · Same position group

Odilon Kossonou

Bayer Leverkusen · Right Center Back

Style similarity

84.3 / 100

Pressure Pass Rate
Positive Forward Distance Per 100 Passes
Carry Share Of Actions

Sample support: Higher · 21 limiting matches

Observed: 31 vs 21 matches

#3 · Same position group

Christian Groß

Werder Bremen · Center Back

Style similarity

79.7 / 100

Expected Completion RatePositive Forward Distance Per 100 PassesLong Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 31 vs 1 matches

#4 · Same position group

Min Jae Kim

Bayern Munich · Left Center Back

Style similarity

79.4 / 100

Progressive Pass RateExpected Completion RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 31 vs 2 matches

#5 · Same position group

Josip Stanišić

Bayer Leverkusen · Right Center Back

Style similarity

75.5 / 100

Carry Share Of ActionsPositive Forward Distance Per 100 PassesPressure Pass Rate

Sample support: Higher · 20 limiting matches

Observed: 31 vs 20 matches

#6 · Same position group

Julian Ryerson

Borussia Dortmund · Left Back

Style similarity

74.7 / 100

Pressure Pass RateProgressive Pass RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 31 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.