FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Daniel Olmo Carvajal

RB Leipzig · Left Attacking Midfield · MID

Matches observed2
Pass attempts67
Limited sample

Actual completion

76.1%

51 completed passes

Pass difficulty

76.9%

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

76.9%

Unavailable among MID players

n = 13 eligible peers · sample 67

requires 100 passes

Under-pressure pass rate

9.0%

Unavailable among MID players

n = 13 eligible peers · sample 67

requires 100 passes

Progressive pass rate

26.9%

Unavailable among MID players

n = 13 eligible peers · sample 67

requires 100 passes

Long-pass rate

14.9%

Unavailable among MID players

n = 13 eligible peers · sample 67

requires 100 passes

Average forward distance

5.1 units

Unavailable among MID players

n = 13 eligible peers · sample 67

requires 100 passes

Positive forward distance / 100 passes

805.2 units

Unavailable among MID players

n = 13 eligible peers · sample 67

requires 100 passes

Final-third entries / 100 passes

4.478

Unavailable among MID players

n = 13 eligible peers · sample 67

requires 100 passes

Carry share of actions

50.4%

88th percentile among MID players

n = 61 eligible peers · sample 131

Progressive carry rate

6.1%

74th percentile among MID players

n = 66 eligible peers · sample 66

Progressive action rate

16.0%

90th percentile among MID players

n = 61 eligible peers · sample 131

Under-pressure action rate

19.8%

35th percentile among MID players

n = 61 eligible peers · sample 131

Shots / observed match

1.00 / match

Unavailable among MID players

n = 5 eligible peers · sample 2

requires 20 shots

xG / shot

7.6%

Unavailable among MID players

n = 5 eligible peers · sample 2

requires 20 shots

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 67

requires 100 passes

Under-pressure completion above expected

+14.5 pp

Unavailable among MID players

n = 10 eligible peers · sample 6

requires 20 pressure passes

Progressive completion above expected

+6.4 pp

Unavailable among MID players

n = 9 eligible peers · sample 18

requires 20 progressive passes

Long-pass completion above expected

+19.4 pp

Unavailable among MID players

n = 9 eligible peers · sample 10

requires 20 long passes

Goals above expected

0.849

Unavailable among MID players

n = 5 eligible peers · sample 2

requires 20 shots

Overall impact / 100 actions

0.050

75th percentile among MID players

n = 61 eligible peers · sample 131

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

Passing impact / 100 passes

-0.166

25th percentile among MID players

n = 58 eligible peers · sample 65

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

Carrying impact / 100 carries

0.263

95th percentile among MID players

n = 66 eligible peers · sample 66

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

Progressive-action impact / 100 actions

0.081

78th percentile among MID players

n = 61 eligible peers · sample 131

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

Under-pressure impact / 100 actions

0.093

90th percentile among MID players

n = 61 eligible peers · sample 131

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

Playing style

Direct Progressor

Position-relative style among eligible MID players.

Style separation0.373

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty-2.01 z
Under-pressure pass rate-1.33 z
Progressive-pass rate+2.20 z
Long-pass rate+0.47 z
Positive forward distance / 100 passes+1.70 z
Carry share of actions+1.36 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 closer1.739
CloserFarther

Strongest alignment

  • Long Pass Rate
  • Pressure Pass Rate
  • Carry Share Of Actions

Largest difference

Expected Completion 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.

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

0.2

Goals above expected

+0.8

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
xG0.15
xG0.00 – 1.00
Foot
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

+0.050

Passing impact / 100 passes

-0.166

Carrying impact / 100 carries

+0.263

Progressive-action impact / 100 actions

+0.081

Under-pressure impact / 100 actions

+0.093

131 actions · 65 passes · 66 carries · 51.9% 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

6 attempts

Limited sample
Actual
83.3%
Pass difficulty
68.8%
Actual vs. expected passing
+14.5 pp

Limited sample — interpret this split cautiously.

Progressive passing

18 attempts

Limited sample
Actual
55.6%
Pass difficulty
49.2%
Actual vs. expected passing
+6.4 pp

Limited sample — interpret this split cautiously.

Long passing

10 attempts

Limited sample
Actual
80.0%
Pass difficulty
60.6%

Progression profile

Progressive-pass rate

26.9%

Pressure-pass rate

9.0%

Average forward distance

5.1 m

Positive forward distance / 100

805.2 m

Final-third entries / 100

4.5

Campos visualization

Pass map

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

Showing 1–67 of 67 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
99.4%
Outcome
Completed
Attacking impact
-0.0026
Value before
0.0055
Value after
0.0029
Length
33.4 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

Xavi Simons

RB Leipzig · Right Attacking Midfield

Style similarity

64.3 / 100

Positive Forward Distance Per 100 PassesPressure Pass RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Arne Maier

Augsburg · Right Center Midfield

Style similarity

60.1 / 100

Actual vs. expected passing
+19.4 pp

Limited sample — interpret this split cautiously.

Progressive Pass RateExpected Completion RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Chris Führich

VfB Stuttgart · Left Attacking Midfield

Style similarity

59.5 / 100

Carry Share Of ActionsExpected Completion RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Kevin Stöger

Bochum · Left Center Midfield

Style similarity

59.1 / 100

Pressure Pass RateProgressive Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#5 · Same position group

Leonardo Bittencourt

Werder Bremen · Right Center Midfield

Style similarity

49.5 / 100

Carry Share Of ActionsLong Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Anton Stach

Hoffenheim · Center Defensive Midfield

Style similarity

48.7 / 100

Progressive Pass RateExpected Completion RatePressure 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.