FSFootyScout
PlayersTeam IntelligenceScoutingLeaderboardCompareArchetypesModel

FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Xavi Simons

RB Leipzig · Right Attacking Midfield · MID

Matches observed2
Pass attempts51
Limited sample

Actual completion

84.3%

43 completed passes

Pass difficulty

82.0%

How difficult a pass was to complete.

Actual vs. expected passing

+2.3 pp

+1.2 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

82.0%

Unavailable among MID players

n = 13 eligible peers · sample 51

requires 100 passes

Under-pressure pass rate

5.9%

Unavailable among MID players

n = 13 eligible peers · sample 51

requires 100 passes

Progressive pass rate

19.6%

Unavailable among MID players

n = 13 eligible peers · sample 51

requires 100 passes

Long-pass rate

19.6%

Unavailable among MID players

n = 13 eligible peers · sample 51

requires 100 passes

Average forward distance

4.8 units

Unavailable among MID players

n = 13 eligible peers · sample 51

requires 100 passes

Positive forward distance / 100 passes

817.8 units

Unavailable among MID players

n = 13 eligible peers · sample 51

requires 100 passes

Final-third entries / 100 passes

13.725

Unavailable among MID players

n = 13 eligible peers · sample 51

requires 100 passes

Carry share of actions

52.8%

93rd percentile among MID players

n = 61 eligible peers · sample 106

Progressive carry rate

10.7%

89th percentile among MID players

n = 66 eligible peers · sample 56

Progressive action rate

15.1%

87th percentile among MID players

n = 61 eligible peers · sample 106

Under-pressure action rate

22.6%

52nd percentile among MID players

n = 61 eligible peers · sample 106

Shots / observed match

0.50 / match

Unavailable among MID players

n = 5 eligible peers · sample 1

requires 20 shots

xG / shot

15.1%

Unavailable among MID players

n = 5 eligible peers · sample 1

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

+2.3 pp

Unavailable among MID players

n = 13 eligible peers · sample 51

requires 100 passes

Under-pressure completion above expected

+11.0 pp

Unavailable among MID players

n = 10 eligible peers · sample 3

requires 20 pressure passes

Progressive completion above expected

+7.7 pp

Unavailable among MID players

n = 9 eligible peers · sample 10

requires 20 progressive passes

Long-pass completion above expected

+0.1 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 1

requires 20 shots

Overall impact / 100 actions

0.107

92nd percentile among MID players

n = 61 eligible peers · sample 106

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

Passing impact / 100 passes

0.018

88th percentile among MID players

n = 58 eligible peers · sample 50

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

Carrying impact / 100 carries

0.187

80th percentile among MID players

n = 66 eligible peers · sample 56

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

Progressive-action impact / 100 actions

0.105

85th percentile among MID players

n = 61 eligible peers · sample 106

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

Under-pressure impact / 100 actions

0.093

92nd percentile among MID players

n = 61 eligible peers · sample 106

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

Playing style

Direct Progressor

Position-relative style among eligible MID players.

Style separation0.282

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty-0.90 z
Under-pressure pass rate-1.87 z
Progressive-pass rate+1.08 z
Long-pass rate+1.34 z
Positive forward distance / 100 passes+1.80 z
Carry share of actions+2.05 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 closer1.658
CloserFarther

Strongest alignment

  • Progressive Pass Rate
  • Expected Completion Rate
  • Pressure Pass Rate

Largest difference

Positive Forward Distance Per 100 Passes

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

1

1 matches observed

Goals

1

Total xG

0.2

Goals above expected

+0.8

xG / shot

0.2

100.0% 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
Goals1
xG0.15
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

+0.107

Passing impact / 100 passes

+0.018

Carrying impact / 100 carries

+0.187

Progressive-action impact / 100 actions

+0.105

Under-pressure impact / 100 actions

+0.093

106 actions · 50 passes · 56 carries · 53.8% 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

3 attempts

Limited sample
Actual
66.7%
Pass difficulty
55.7%
Actual vs. expected passing
+11.0 pp

Limited sample — interpret this split cautiously.

Progressive passing

10 attempts

Limited sample
Actual
60.0%
Pass difficulty
52.3%
Actual vs. expected passing
+7.7 pp

Limited sample — interpret this split cautiously.

Long passing

10 attempts

Limited sample
Actual
70.0%
Pass difficulty
69.9%

Progression profile

Progressive-pass rate

19.6%

Pressure-pass rate

5.9%

Average forward distance

4.8 m

Positive forward distance / 100

817.8 m

Final-third entries / 100

13.7

Campos visualization

Pass map

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

Showing 1–51 of 51 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
97.6%
Outcome
Completed
Attacking impact
0.0004
Value before
0.0070
Value after
0.0074
Length
13.3 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

Daniel Olmo Carvajal

RB Leipzig · Left 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

Leonardo Bittencourt

Werder Bremen · Right Center Midfield

Style similarity

62.3 / 100

Actual vs. expected passing
+0.1 pp

Limited sample — interpret this split cautiously.

Long Pass RatePositive Forward Distance Per 100 PassesProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Kevin Stöger

Bochum · Left Center Midfield

Style similarity

57.7 / 100

Long Pass RateExpected Completion RateProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#4 · Same position group

Chris Führich

VfB Stuttgart · Left Attacking Midfield

Style similarity

50.4 / 100

Progressive Pass RateCarry Share Of ActionsPressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Xaver Schlager

RB Leipzig · Left Defensive Midfield

Style similarity

50.2 / 100

Pressure Pass RateExpected Completion RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Arne Maier

Augsburg · Right Center Midfield

Style similarity

49.5 / 100

Long Pass RateExpected Completion RateProgressive 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.