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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Bartol Franjić

Darmstadt 98 · Right Defensive Midfield · MID

Matches observed2
Pass attempts57
Limited sample

Actual completion

91.2%

52 completed passes

Pass difficulty

90.4%

How difficult a pass was to complete.

Actual vs. expected passing

+0.8 pp

+0.5 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

90.4%

Unavailable among MID players

n = 13 eligible peers · sample 57

requires 100 passes

Under-pressure pass rate

17.5%

Unavailable among MID players

n = 13 eligible peers · sample 57

requires 100 passes

Progressive pass rate

5.3%

Unavailable among MID players

n = 13 eligible peers · sample 57

requires 100 passes

Long-pass rate

8.8%

Unavailable among MID players

n = 13 eligible peers · sample 57

requires 100 passes

Average forward distance

0.3 units

Unavailable among MID players

n = 13 eligible peers · sample 57

requires 100 passes

Positive forward distance / 100 passes

489.3 units

Unavailable among MID players

n = 13 eligible peers · sample 57

requires 100 passes

Final-third entries / 100 passes

7.018

Unavailable among MID players

n = 13 eligible peers · sample 57

requires 100 passes

Carry share of actions

43.6%

28th percentile among MID players

n = 61 eligible peers · sample 94

Progressive carry rate

0.0%

12th percentile among MID players

n = 66 eligible peers · sample 41

Progressive action rate

3.2%

13th percentile among MID players

n = 61 eligible peers · sample 94

Under-pressure action rate

33.0%

88th percentile among MID players

n = 61 eligible peers · sample 94

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

+0.8 pp

Unavailable among MID players

n = 13 eligible peers · sample 57

requires 100 passes

Under-pressure completion above expected

-10.8 pp

Unavailable among MID players

n = 10 eligible peers · sample 10

requires 20 pressure passes

Progressive completion above expected

-10.8 pp

Unavailable among MID players

n = 9 eligible peers · sample 3

requires 20 progressive passes

Long-pass completion above expected

-0.3 pp

Unavailable among MID players

n = 9 eligible peers · sample 5

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

-0.017

45th percentile among MID players

n = 61 eligible peers · sample 94

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

Passing impact / 100 passes

-0.068

60th percentile among MID players

n = 58 eligible peers · sample 53

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

Carrying impact / 100 carries

0.050

18th percentile among MID players

n = 66 eligible peers · sample 41

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

Progressive-action impact / 100 actions

-0.023

25th percentile among MID players

n = 61 eligible peers · sample 94

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

Under-pressure impact / 100 actions

0.027

47th percentile among MID players

n = 61 eligible peers · sample 94

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

Playing style

Safe Circulator

Position-relative style among eligible MID players.

Style separation0.648

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+0.94 z
Under-pressure pass rate+0.16 z
Progressive-pass rate-1.12 z
Long-pass rate-0.68 z
Positive forward distance / 100 passes-0.82 z
Carry share of actions-0.55 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 closer0.646
CloserFarther

Strongest alignment

  • Long Pass Rate
  • Pressure Pass Rate
  • Expected Completion 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

-0.017

Passing impact / 100 passes

-0.068

Carrying impact / 100 carries

+0.050

Progressive-action impact / 100 actions

-0.023

Under-pressure impact / 100 actions

+0.027

94 actions · 53 passes · 41 carries · 46.8% 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

10 attempts

Limited sample
Actual
80.0%
Pass difficulty
90.8%
Actual vs. expected passing
-10.8 pp

Limited sample — interpret this split cautiously.

Progressive passing

3 attempts

Limited sample
Actual
33.3%
Pass difficulty
44.1%
Actual vs. expected passing
-10.8 pp

Limited sample — interpret this split cautiously.

Long passing

5 attempts

Limited sample
Actual
80.0%
Pass difficulty
80.3%

Progression profile

Progressive-pass rate

5.3%

Pressure-pass rate

17.5%

Average forward distance

0.3 m

Positive forward distance / 100

489.3 m

Final-third entries / 100

7.0

Campos visualization

Pass map

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

Showing 1–57 of 57 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
97.2%
Outcome
Completed
Attacking impact
0.0000
Value before
0.0060
Value after
0.0060
Length
16.2 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

Leon Goretzka

Bayern Munich · Left Defensive Midfield

Style similarity

81.1 / 100

Carry Share Of ActionsProgressive Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Nicolas Höfler

Freiburg · Right Defensive Midfield

Style similarity

81.0 / 100

Actual vs. expected passing
-0.3 pp

Limited sample — interpret this split cautiously.

Pressure Pass RateProgressive Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Aleksandar Pavlović

Bayern Munich · Right Defensive Midfield

Style similarity

78.9 / 100

Progressive Pass RateLong Pass RateExpected Completion Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#4 · Same position group

Atakan Karazor

VfB Stuttgart · Right Defensive Midfield

Style similarity

77.3 / 100

Positive Forward Distance Per 100 PassesCarry Share Of ActionsProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Exequiel Alejandro Palacios

Bayer Leverkusen · Left Defensive Midfield

Style similarity

75.4 / 100

Expected Completion RateLong Pass RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 24 matches

#6 · Same position group

Denis Huseinbašić

FC Köln · Left Defensive Midfield

Style similarity

74.1 / 100

Progressive Pass RateLong Pass RateCarry Share Of Actions

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.