FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Julian Ryerson

Borussia Dortmund · Left Back · DEF

Matches observed2
Pass attempts70
Limited sample

Actual completion

91.4%

64 completed passes

Pass difficulty

87.2%

How difficult a pass was to complete.

Actual vs. expected passing

+4.2 pp

+2.9 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.

Insufficient eligible position metrics for a meaningful radar.

Style

Tendencies describe what a player attempts; higher is not automatically better.

Pass difficulty

87.2%

Unavailable among DEF players

n = 23 eligible peers · sample 70

requires 100 passes

Under-pressure pass rate

10.0%

Unavailable among DEF players

n = 23 eligible peers · sample 70

requires 100 passes

Progressive pass rate

7.1%

Unavailable among DEF players

n = 23 eligible peers · sample 70

requires 100 passes

Long-pass rate

12.9%

Unavailable among DEF players

n = 23 eligible peers · sample 70

requires 100 passes

Average forward distance

-0.7 units

Unavailable among DEF players

n = 23 eligible peers · sample 70

requires 100 passes

Positive forward distance / 100 passes

588.3 units

Unavailable among DEF players

n = 23 eligible peers · sample 70

requires 100 passes

Final-third entries / 100 passes

0.000

Unavailable among DEF players

n = 23 eligible peers · sample 70

requires 100 passes

Carry share of actions

46.7%

87th percentile among DEF players

n = 94 eligible peers · sample 122

Progressive carry rate

3.5%

66th percentile among DEF players

n = 87 eligible peers · sample 57

Progressive action rate

4.1%

9th percentile among DEF players

n = 94 eligible peers · sample 122

Under-pressure action rate

22.1%

82nd percentile among DEF players

n = 94 eligible peers · sample 122

Shots / observed match

1.00 / match

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

xG / shot

14.0%

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

+4.2 pp

Unavailable among DEF players

n = 23 eligible peers · sample 70

requires 100 passes

Under-pressure completion above expected

+6.6 pp

Unavailable among DEF players

n = 13 eligible peers · sample 7

requires 20 pressure passes

Progressive completion above expected

+10.2 pp

Unavailable among DEF players

n = 17 eligible peers · sample 5

requires 20 progressive passes

Long-pass completion above expected

-2.4 pp

Unavailable among DEF players

n = 21 eligible peers · sample 9

requires 20 long passes

Goals above expected

0.719

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

Overall impact / 100 actions

0.056

80th percentile among DEF players

n = 94 eligible peers · sample 122

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

Passing impact / 100 passes

-0.034

51st percentile among DEF players

n = 94 eligible peers · sample 65

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

Carrying impact / 100 carries

0.158

86th percentile among DEF players

n = 87 eligible peers · sample 57

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

Progressive-action impact / 100 actions

0.044

72nd percentile among DEF players

n = 94 eligible peers · sample 122

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

Under-pressure impact / 100 actions

0.063

89th percentile among DEF players

n = 94 eligible peers · sample 122

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

Playing style

Safe Circulator

Position-relative style among eligible DEF players.

Style separation0.650

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+0.59 z
Under-pressure pass rate-0.42 z
Progressive-pass rate-1.25 z
Long-pass rate-0.46 z
Positive forward distance / 100 passes-1.19 z
Carry share of actions+0.99 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 Bayer Leverkusen's observed DEF role.

Role distance · lower is closer0.373
CloserFarther

Strongest alignment

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

Largest difference

Progressive Pass Rate

limited sampleObserved across 2 matchesRole: 34 matches · 9 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

0.3

Goals above expected

+0.7

xG / shot

0.1

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
xG0.28
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

+0.056

Passing impact / 100 passes

-0.034

Carrying impact / 100 carries

+0.158

Progressive-action impact / 100 actions

+0.044

Under-pressure impact / 100 actions

+0.063

122 actions · 65 passes · 57 carries · 46.7% 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

7 attempts

Limited sample
Actual
85.7%
Pass difficulty
79.1%
Actual vs. expected passing
+6.6 pp

Limited sample — interpret this split cautiously.

Progressive passing

5 attempts

Limited sample
Actual
40.0%
Pass difficulty
29.8%
Actual vs. expected passing
+10.2 pp

Limited sample — interpret this split cautiously.

Long passing

9 attempts

Limited sample
Actual
66.7%
Pass difficulty
69.1%

Progression profile

Progressive-pass rate

7.1%

Pressure-pass rate

10.0%

Average forward distance

-0.7 m

Positive forward distance / 100

588.3 m

Final-third entries / 100

0.0

Campos visualization

Pass map

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

Showing 1–70 of 70 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
96.3%
Outcome
Completed
Attacking impact
-0.0002
Value before
0.0155
Value after
0.0153
Length
14.7 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.

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

Josip Stanišić

Bayer Leverkusen · Right Center Back

Style similarity

82.8 / 100

Expected Completion RateLong Pass RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 20 matches

#2 · Same position group

Odilon Kossonou

Bayer Leverkusen · Right Center Back

Style similarity

81.7 / 100

Actual vs. expected passing
-2.4 pp

Limited sample — interpret this split cautiously.

Pressure Pass RateCarry Share Of ActionsLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 21 matches

#3 · Same position group

Piero Martín Hincapié Reyna

Bayer Leverkusen · Left Center Back

Style similarity

79.9 / 100

Pressure Pass RateProgressive Pass RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 25 matches

#4 · Same position group

Lucas Silva Melo

Eintracht Frankfurt · Right Back

Style similarity

77.1 / 100

Long Pass RateExpected Completion RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Jonathan Tah

Bayer Leverkusen · Center Back

Style similarity

74.7 / 100

Pressure Pass RateProgressive Pass RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 31 matches

#6 · Same position group

Aurélio Gabriel Ulineia Buta

Eintracht Frankfurt · Right Wing Back

Style similarity

70.5 / 100

Carry Share Of ActionsExpected Completion RateLong Pass Rate

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.