FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Hugo Larsson

Eintracht Frankfurt · Right Defensive Midfield · MID

Matches observed2
Pass attempts69
Limited sample

Actual completion

95.7%

66 completed passes

Pass difficulty

93.8%

How difficult a pass was to complete.

Actual vs. expected passing

+1.9 pp

+1.3 completions vs model expectation

Actual pass completion compared with the model's expected completion.

Player intelligence

Position profile

MID 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

93.8%

Unavailable among MID players

n = 13 eligible peers · sample 69

requires 100 passes

Under-pressure pass rate

21.7%

Unavailable among MID players

n = 13 eligible peers · sample 69

requires 100 passes

Progressive pass rate

1.4%

Unavailable among MID players

n = 13 eligible peers · sample 69

requires 100 passes

Long-pass rate

17.4%

Unavailable among MID players

n = 13 eligible peers · sample 69

requires 100 passes

Average forward distance

-2.7 units

Unavailable among MID players

n = 13 eligible peers · sample 69

requires 100 passes

Positive forward distance / 100 passes

376.2 units

Unavailable among MID players

n = 13 eligible peers · sample 69

requires 100 passes

Final-third entries / 100 passes

1.449

Unavailable among MID players

n = 13 eligible peers · sample 69

requires 100 passes

Carry share of actions

41.0%

8th percentile among MID players

n = 61 eligible peers · sample 117

Progressive carry rate

0.0%

12th percentile among MID players

n = 66 eligible peers · sample 48

Progressive action rate

0.9%

0th percentile among MID players

n = 61 eligible peers · sample 117

Under-pressure action rate

23.1%

55th percentile among MID players

n = 61 eligible peers · sample 117

Shots / observed match

0.00 / match

Unavailable among MID players

n = 5 eligible peers · sample 0

requires 20 shots

xG / shot

—

Unavailable among MID players

n = 5 eligible peers · sample 0

metric unavailable

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

+1.9 pp

Unavailable among MID players

n = 13 eligible peers · sample 69

requires 100 passes

Under-pressure completion above expected

-6.7 pp

Unavailable among MID players

n = 10 eligible peers · sample 15

requires 20 pressure passes

Progressive completion above expected

+55.0 pp

Unavailable among MID players

n = 9 eligible peers · sample 1

requires 20 progressive passes

Long-pass completion above expected

-0.2 pp

Unavailable among MID players

n = 9 eligible peers · sample 12

requires 20 long passes

Goals above expected

0.000

Unavailable among MID players

n = 5 eligible peers · sample 0

requires 20 shots

Overall impact / 100 actions

-0.050

25th percentile among MID players

n = 61 eligible peers · sample 117

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

Passing impact / 100 passes

-0.123

39th percentile among MID players

n = 58 eligible peers · sample 69

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

Carrying impact / 100 carries

0.056

23rd percentile among MID players

n = 66 eligible peers · sample 48

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

Progressive-action impact / 100 actions

0.003

38th percentile among MID players

n = 61 eligible peers · sample 117

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

Under-pressure impact / 100 actions

-0.015

10th percentile among MID players

n = 61 eligible peers · sample 117

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

Playing style

Safe Circulator

Position-relative style among eligible MID players.

Style separation0.315

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+1.67 z
Under-pressure pass rate+0.89 z
Progressive-pass rate-1.71 z
Long-pass rate+0.93 z
Positive forward distance / 100 passes-1.72 z
Carry share of actions-1.28 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

MID role

How closely a player's playing style matches this role. Compared with Bayer Leverkusen's observed MID role.

Role distance · lower is closer1.396
CloserFarther

Strongest alignment

  • Pressure Pass Rate
  • Expected Completion Rate
  • Long Pass Rate

Largest difference

Progressive Pass Rate

limited sampleObserved across 2 matchesRole: 34 matches · 10 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.

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

-0.050

Passing impact / 100 passes

-0.123

Carrying impact / 100 carries

+0.056

Progressive-action impact / 100 actions

+0.003

Under-pressure impact / 100 actions

-0.015

117 actions · 69 passes · 48 carries · 38.5% 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

15 attempts

Limited sample
Actual
86.7%
Pass difficulty
93.4%
Actual vs. expected passing
-6.7 pp

Limited sample — interpret this split cautiously.

Progressive passing

1 attempts

Limited sample
Actual
100.0%
Pass difficulty
45.0%
Actual vs. expected passing
+55.0 pp

Limited sample — interpret this split cautiously.

Long passing

12 attempts

Limited sample
Actual
91.7%
Pass difficulty
91.9%

Progression profile

Progressive-pass rate

1.4%

Pressure-pass rate

21.7%

Average forward distance

-2.7 m

Positive forward distance / 100

376.2 m

Final-third entries / 100

1.4

Campos visualization

Pass map

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

Showing 1–69 of 69 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
98.0%
Outcome
Completed
Attacking impact
-0.0036
Value before
0.0203
Value after
0.0167
Length
18.8 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

Senne Lynen

Werder Bremen · Center Defensive Midfield

Style similarity

66.5 / 100

Carry Share Of ActionsExpected Completion RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Denis Huseinbašić

FC Köln · Left Defensive Midfield

Style similarity

62.0 / 100

Actual vs. expected passing
-0.2 pp

Limited sample — interpret this split cautiously.

Positive Forward Distance Per 100 PassesExpected Completion RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Leon Goretzka

Bayern Munich · Left Defensive Midfield

Style similarity

60.4 / 100

Expected Completion RateProgressive Pass RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Nicolas Höfler

Freiburg · Right Defensive Midfield

Style similarity

60.1 / 100

Progressive Pass RateCarry Share Of ActionsPressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Bartol Franjić

Darmstadt 98 · Right Defensive Midfield

Style similarity

60.1 / 100

Progressive Pass RatePressure Pass RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Aleksandar Pavlović

Bayern Munich · Right Defensive Midfield

Style similarity

52.8 / 100

Pressure Pass RateExpected Completion RateProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 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.