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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Nathan Tella

Bayer Leverkusen · Right Wing Back · DEF

Matches observed24
Pass attempts342
Reliable sample

Actual completion

81.3%

278 completed passes

Pass difficulty

79.7%

How difficult a pass was to complete.

Actual vs. expected passing

+1.6 pp

+5.4 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

79.7%

5th percentile among DEF players

n = 23 eligible peers · sample 342

Under-pressure pass rate

11.7%

55th percentile among DEF players

n = 23 eligible peers · sample 342

Progressive pass rate

17.0%

82nd percentile among DEF players

n = 23 eligible peers · sample 342

Long-pass rate

7.9%

5th percentile among DEF players

n = 23 eligible peers · sample 342

Average forward distance

-1.9 units

9th percentile among DEF players

n = 23 eligible peers · sample 342

Positive forward distance / 100 passes

370.0 units

5th percentile among DEF players

n = 23 eligible peers · sample 342

Final-third entries / 100 passes

3.509

5th percentile among DEF players

n = 23 eligible peers · sample 342

Carry share of actions

51.3%

100th percentile among DEF players

n = 94 eligible peers · sample 665

Progressive carry rate

12.0%

95th percentile among DEF players

n = 87 eligible peers · sample 341

Progressive action rate

14.0%

77th percentile among DEF players

n = 94 eligible peers · sample 665

Under-pressure action rate

22.6%

84th percentile among DEF players

n = 94 eligible peers · sample 665

Shots / observed match

0.88 / match

Unavailable among DEF players

n = 4 eligible peers · sample 21

requires 10 eligible position peers

xG / shot

12.0%

Unavailable among DEF players

n = 4 eligible peers · sample 21

requires 10 eligible position peers

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

+1.6 pp

68th percentile among DEF players

n = 23 eligible peers · sample 342

Under-pressure completion above expected

+4.5 pp

83rd percentile among DEF players

n = 13 eligible peers · sample 40

Progressive completion above expected

+4.2 pp

50th percentile among DEF players

n = 17 eligible peers · sample 58

Long-pass completion above expected

-5.8 pp

5th percentile among DEF players

n = 21 eligible peers · sample 27

Goals above expected

2.482

Unavailable among DEF players

n = 4 eligible peers · sample 21

requires 10 eligible position peers

Overall impact / 100 actions

0.096

91st percentile among DEF players

n = 94 eligible peers · sample 665

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

Passing impact / 100 passes

-0.042

48th percentile among DEF players

n = 94 eligible peers · sample 324

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

Carrying impact / 100 carries

0.227

95th percentile among DEF players

n = 87 eligible peers · sample 341

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

Progressive-action impact / 100 actions

0.174

96th percentile among DEF players

n = 94 eligible peers · sample 665

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

Under-pressure impact / 100 actions

0.073

92nd percentile among DEF players

n = 94 eligible peers · sample 665

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

Playing style

Safe Circulator

Position-relative style among eligible DEF players.

Style separation0.301

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty-0.71 z
Under-pressure pass rate-0.11 z
Progressive-pass rate+0.10 z
Long-pass rate-1.20 z
Positive forward distance / 100 passes-2.09 z
Carry share of actions+2.63 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 closer1.140
CloserFarther

Strongest alignment

  • Pressure Pass Rate
  • Long Pass Rate
  • Progressive Pass Rate

Largest difference

Carry Share Of Actions

higher sampleObserved across 24 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

21

11 matches observed

Goals

5

Total xG

2.5

Goals above expected

+2.5

xG / shot

0.1

23.8% goals / shot

Campos visualization

Shot map

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

Shots21
Goals5
xG2.52
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

+0.096

Passing impact / 100 passes

-0.042

Carrying impact / 100 carries

+0.227

Progressive-action impact / 100 actions

+0.174

Under-pressure impact / 100 actions

+0.073

665 actions · 324 passes · 341 carries · 49.6% 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

40 attempts

Reliable sample
Actual
77.5%
Pass difficulty
73.0%
Actual vs. expected passing
+4.5 pp

Progressive passing

58 attempts

Reliable sample
Actual
51.7%
Pass difficulty
47.5%
Actual vs. expected passing
+4.2 pp

Long passing

27 attempts

Reliable sample
Actual
44.4%
Pass difficulty
50.2%
Actual vs. expected passing
-5.8 pp

Progression profile

Progressive-pass rate

17.0%

Pressure-pass rate

11.7%

Average forward distance

-1.9 m

Positive forward distance / 100

370.0 m

Final-third entries / 100

3.5

Campos visualization

Pass map

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

Showing 1–200 of 342 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
78.2%
Outcome
Completed
Attacking impact
0.0057
Value before
0.0318
Value after
0.0375
Length
12.8 m
Context
Progressive
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

Jeremie Frimpong

Bayer Leverkusen · Right Wing Back

Style similarity

84.9 / 100

Progressive Pass RateLong Pass RateExpected Completion Rate

Sample support: Higher · 24 limiting matches

Observed: 24 vs 31 matches

#2 · Same position group

Arthur Augusto de Matos Soares

Bayer Leverkusen · Left Wing Back

Style similarity

67.9 / 100

Progressive Pass RatePositive Forward Distance Per 100 Passes
Pressure Pass Rate

Sample support: Higher · 4 limiting matches

Observed: 24 vs 4 matches

#3 · Same position group

Noussair Mazraoui

Bayern Munich · Right Wing Back

Style similarity

61.8 / 100

Pressure Pass RatePositive Forward Distance Per 100 PassesLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 24 vs 2 matches

#4 · Same position group

Aurélio Gabriel Ulineia Buta

Eintracht Frankfurt · Right Wing Back

Style similarity

59.7 / 100

Positive Forward Distance Per 100 PassesLong Pass RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 24 vs 2 matches

#5 · Same position group

Alphonso Davies

Bayern Munich · Left Back

Style similarity

57.3 / 100

Positive Forward Distance Per 100 PassesLong Pass RateProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 24 vs 1 matches

#6 · Same position group

Josip Stanišić

Bayer Leverkusen · Right Center Back

Style similarity

54.4 / 100

Pressure Pass RateLong Pass RateProgressive Pass Rate

Sample support: Higher · 20 limiting matches

Observed: 24 vs 20 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.