FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Joseph Scally

Borussia Mönchengladbach · Right Center Back · DEF

Matches observed2
Pass attempts64
Limited sample

Actual completion

76.6%

49 completed passes

Pass difficulty

82.4%

How difficult a pass was to complete.

Actual vs. expected passing

-5.9 pp

-3.7 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

82.4%

Unavailable among DEF players

n = 23 eligible peers · sample 64

requires 100 passes

Under-pressure pass rate

4.7%

Unavailable among DEF players

n = 23 eligible peers · sample 64

requires 100 passes

Progressive pass rate

23.4%

Unavailable among DEF players

n = 23 eligible peers · sample 64

requires 100 passes

Long-pass rate

21.9%

Unavailable among DEF players

n = 23 eligible peers · sample 64

requires 100 passes

Average forward distance

5.9 units

Unavailable among DEF players

n = 23 eligible peers · sample 64

requires 100 passes

Positive forward distance / 100 passes

1165.6 units

Unavailable among DEF players

n = 23 eligible peers · sample 64

requires 100 passes

Final-third entries / 100 passes

12.500

Unavailable among DEF players

n = 23 eligible peers · sample 64

requires 100 passes

Carry share of actions

45.5%

71st percentile among DEF players

n = 94 eligible peers · sample 110

Progressive carry rate

2.0%

45th percentile among DEF players

n = 87 eligible peers · sample 50

Progressive action rate

13.6%

76th percentile among DEF players

n = 94 eligible peers · sample 110

Under-pressure action rate

11.8%

31st percentile among DEF players

n = 94 eligible peers · sample 110

Shots / observed match

0.50 / match

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

xG / shot

4.0%

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

-5.9 pp

Unavailable among DEF players

n = 23 eligible peers · sample 64

requires 100 passes

Under-pressure completion above expected

-23.2 pp

Unavailable among DEF players

n = 13 eligible peers · sample 3

requires 20 pressure passes

Progressive completion above expected

-20.3 pp

Unavailable among DEF players

n = 17 eligible peers · sample 15

requires 20 progressive passes

Long-pass completion above expected

-11.8 pp

Unavailable among DEF players

n = 21 eligible peers · sample 14

requires 20 long passes

Goals above expected

-0.040

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

-0.116

5th percentile among DEF players

n = 94 eligible peers · sample 110

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

Passing impact / 100 passes

-0.268

5th percentile among DEF players

n = 94 eligible peers · sample 60

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

Carrying impact / 100 carries

0.065

57th percentile among DEF players

n = 87 eligible peers · sample 50

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

Progressive-action impact / 100 actions

-0.112

3rd percentile among DEF players

n = 94 eligible peers · sample 110

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

Under-pressure impact / 100 actions

0.012

43rd percentile among DEF players

n = 94 eligible peers · sample 110

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

Playing style

Direct Progressor

Position-relative style among eligible DEF players.

Style separation0.477

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty-0.24 z
Under-pressure pass rate-1.38 z
Progressive-pass rate+0.99 z
Long-pass rate+0.89 z
Positive forward distance / 100 passes+1.18 z
Carry share of actions+0.54 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 closer1.419
CloserFarther

Strongest alignment

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

Largest difference

Positive Forward Distance Per 100 Passes

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

1

1 matches observed

Goals

0

Total xG

0.0

Goals above expected

-0.0

xG / shot

0.0

0.0% 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.

Shots1
Goals0
xG0.04
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

-0.116

Passing impact / 100 passes

-0.268

Carrying impact / 100 carries

+0.065

Progressive-action impact / 100 actions

-0.112

Under-pressure impact / 100 actions

+0.012

110 actions · 60 passes · 50 carries · 50.0% 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

3 attempts

Limited sample
Actual
66.7%
Pass difficulty
89.9%
Actual vs. expected passing
-23.2 pp

Limited sample — interpret this split cautiously.

Progressive passing

15 attempts

Limited sample
Actual
26.7%
Pass difficulty
47.0%
Actual vs. expected passing
-20.3 pp

Limited sample — interpret this split cautiously.

Long passing

14 attempts

Limited sample
Actual
42.9%
Pass difficulty
54.7%

Progression profile

Progressive-pass rate

23.4%

Pressure-pass rate

4.7%

Average forward distance

5.9 m

Positive forward distance / 100

1165.6 m

Final-third entries / 100

12.5

Campos visualization

Pass map

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

Showing 1–64 of 64 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
73.4%
Outcome
Completed
Attacking impact
0.0007
Value before
0.0022
Value after
0.0029
Length
17.8 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

Hiroki Ito

VfB Stuttgart · Left Center Back

Style similarity

82.1 / 100

Progressive Pass RateLong Pass RateExpected Completion Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#2 · Same position group

Benjamin Henrichs

RB Leipzig · Right Back

Style similarity

76.7 / 100

Actual vs. expected passing
-11.8 pp

Limited sample — interpret this split cautiously.

Pressure Pass RateProgressive Pass RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Niels Nkounkou

Eintracht Frankfurt · Left Wing Back

Style similarity

70.0 / 100

Progressive Pass RateExpected Completion RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Emir Karic

Darmstadt 98 · Left Back

Style similarity

68.5 / 100

Expected Completion RatePressure Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Matthias Bader

Darmstadt 98 · Right Back

Style similarity

68.4 / 100

Positive Forward Distance Per 100 PassesProgressive Pass RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Manuel Gulde

Freiburg · Left Center Back

Style similarity

66.9 / 100

Positive Forward Distance Per 100 PassesCarry Share Of ActionsLong 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.