FSFootyScout
PlayersTeam IntelligenceScoutingLeaderboardCompareArchetypesModel

FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Grischa Prömel

Hoffenheim · Left Center Midfield · MID

Matches observed2
Pass attempts64
Limited sample

Actual completion

87.5%

56 completed passes

Pass difficulty

87.7%

How difficult a pass was to complete.

Actual vs. expected passing

-0.2 pp

-0.1 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

87.7%

Unavailable among MID players

n = 13 eligible peers · sample 64

requires 100 passes

Under-pressure pass rate

21.9%

Unavailable among MID players

n = 13 eligible peers · sample 64

requires 100 passes

Progressive pass rate

14.1%

Unavailable among MID players

n = 13 eligible peers · sample 64

requires 100 passes

Long-pass rate

14.1%

Unavailable among MID players

n = 13 eligible peers · sample 64

requires 100 passes

Average forward distance

1.2 units

Unavailable among MID players

n = 13 eligible peers · sample 64

requires 100 passes

Positive forward distance / 100 passes

673.8 units

Unavailable among MID players

n = 13 eligible peers · sample 64

requires 100 passes

Final-third entries / 100 passes

12.500

Unavailable among MID players

n = 13 eligible peers · sample 64

requires 100 passes

Carry share of actions

39.6%

2nd percentile among MID players

n = 61 eligible peers · sample 101

Progressive carry rate

2.5%

38th percentile among MID players

n = 66 eligible peers · sample 40

Progressive action rate

9.9%

65th percentile among MID players

n = 61 eligible peers · sample 101

Under-pressure action rate

27.7%

68th percentile among MID players

n = 61 eligible peers · sample 101

Shots / observed match

0.50 / match

Unavailable among MID players

n = 5 eligible peers · sample 1

requires 20 shots

xG / shot

15.8%

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

-0.2 pp

Unavailable among MID players

n = 13 eligible peers · sample 64

requires 100 passes

Under-pressure completion above expected

+8.6 pp

Unavailable among MID players

n = 10 eligible peers · sample 14

requires 20 pressure passes

Progressive completion above expected

-15.2 pp

Unavailable among MID players

n = 9 eligible peers · sample 9

requires 20 progressive passes

Long-pass completion above expected

-0.5 pp

Unavailable among MID players

n = 9 eligible peers · sample 9

requires 20 long passes

Goals above expected

-0.158

Unavailable among MID players

n = 5 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

-0.052

23rd percentile among MID players

n = 61 eligible peers · sample 101

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

Passing impact / 100 passes

-0.135

37th percentile among MID players

n = 58 eligible peers · sample 61

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

Carrying impact / 100 carries

0.074

37th percentile among MID players

n = 66 eligible peers · sample 40

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

Progressive-action impact / 100 actions

-0.031

20th percentile among MID players

n = 61 eligible peers · sample 101

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

Under-pressure impact / 100 actions

0.051

72nd percentile among MID players

n = 61 eligible peers · sample 101

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

Playing style

Direct Progressor

Position-relative style among eligible MID players.

Style separation0.257

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty+0.35 z
Under-pressure pass rate+0.91 z
Progressive-pass rate+0.23 z
Long-pass rate+0.31 z
Positive forward distance / 100 passes+0.65 z
Carry share of actions-1.68 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 closer1.007
CloserFarther

Strongest alignment

  • Expected Completion Rate
  • Progressive Pass Rate
  • Long Pass Rate

Largest difference

Carry Share Of Actions

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

0

Total xG

0.2

Goals above expected

-0.2

xG / shot

0.2

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
xG0.16
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

-0.052

Passing impact / 100 passes

-0.135

Carrying impact / 100 carries

+0.074

Progressive-action impact / 100 actions

-0.031

Under-pressure impact / 100 actions

+0.051

101 actions · 61 passes · 40 carries · 47.5% 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

14 attempts

Limited sample
Actual
92.9%
Pass difficulty
84.3%
Actual vs. expected passing
+8.6 pp

Limited sample — interpret this split cautiously.

Progressive passing

9 attempts

Limited sample
Actual
44.4%
Pass difficulty
59.7%
Actual vs. expected passing
-15.2 pp

Limited sample — interpret this split cautiously.

Long passing

9 attempts

Limited sample
Actual
77.8%
Pass difficulty
78.3%

Progression profile

Progressive-pass rate

14.1%

Pressure-pass rate

21.9%

Average forward distance

1.2 m

Positive forward distance / 100

673.8 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
81.2%
Outcome
Completed
Attacking impact
-0.0027
Value before
0.0027
Value after
0.0000
Length
4.1 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

Ellyes Joris Skhiri

Eintracht Frankfurt · Left Defensive Midfield

Style similarity

74.5 / 100

Long Pass RatePositive Forward Distance Per 100 PassesProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Mario Götze

Eintracht Frankfurt · Right Defensive Midfield

Style similarity

61.7 / 100

Actual vs. expected passing
-0.5 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

Robert Andrich

Bayer Leverkusen · Right Defensive Midfield

Style similarity

61.6 / 100

Positive Forward Distance Per 100 PassesExpected Completion RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 28 matches

#4 · Same position group

Nicolas Höfler

Freiburg · Right Defensive Midfield

Style similarity

61.1 / 100

Expected Completion RateLong Pass RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Leandro Barreiro Martins

FSV Mainz 05 · Right Defensive Midfield

Style similarity

60.8 / 100

Pressure Pass RateExpected Completion RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Granit Xhaka

Bayer Leverkusen · Right Defensive Midfield

Style similarity

59.8 / 100

Positive Forward Distance Per 100 PassesLong Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 33 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.