FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Kevin Stöger

Bochum · Left Center Midfield · MID

Matches observed1
Pass attempts64
Limited sample

Actual completion

78.1%

50 completed passes

Pass difficulty

83.8%

How difficult a pass was to complete.

Actual vs. expected passing

-5.6 pp

-3.6 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

83.8%

Unavailable among MID players

n = 13 eligible peers · sample 64

requires 100 passes

Under-pressure pass rate

9.4%

Unavailable among MID players

n = 13 eligible peers · sample 64

requires 100 passes

Progressive pass rate

23.4%

Unavailable among MID players

n = 13 eligible peers · sample 64

requires 100 passes

Long-pass rate

18.8%

Unavailable among MID players

n = 13 eligible peers · sample 64

requires 100 passes

Average forward distance

2.8 units

Unavailable among MID players

n = 13 eligible peers · sample 64

requires 100 passes

Positive forward distance / 100 passes

728.0 units

Unavailable among MID players

n = 13 eligible peers · sample 64

requires 100 passes

Final-third entries / 100 passes

20.313

Unavailable among MID players

n = 13 eligible peers · sample 64

requires 100 passes

Carry share of actions

45.0%

42nd percentile among MID players

n = 61 eligible peers · sample 111

Progressive carry rate

6.0%

72nd percentile among MID players

n = 66 eligible peers · sample 50

Progressive action rate

15.3%

88th percentile among MID players

n = 61 eligible peers · sample 111

Under-pressure action rate

18.0%

22nd percentile among MID players

n = 61 eligible peers · sample 111

Shots / observed match

1.00 / match

Unavailable among MID players

n = 5 eligible peers · sample 1

requires 20 shots

xG / shot

3.5%

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

-5.6 pp

Unavailable among MID players

n = 13 eligible peers · sample 64

requires 100 passes

Under-pressure completion above expected

-1.3 pp

Unavailable among MID players

n = 10 eligible peers · sample 6

requires 20 pressure passes

Progressive completion above expected

-8.2 pp

Unavailable among MID players

n = 9 eligible peers · sample 15

requires 20 progressive passes

Long-pass completion above expected

+7.7 pp

Unavailable among MID players

n = 9 eligible peers · sample 12

requires 20 long passes

Goals above expected

-0.035

Unavailable among MID players

n = 5 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

0.111

93rd percentile among MID players

n = 61 eligible peers · sample 111

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

Passing impact / 100 passes

0.098

95th 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

0.126

63rd percentile among MID players

n = 66 eligible peers · sample 50

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

Progressive-action impact / 100 actions

0.092

80th percentile among MID players

n = 61 eligible peers · sample 111

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

Under-pressure impact / 100 actions

0.036

58th percentile among MID players

n = 61 eligible peers · sample 111

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

Playing style

Direct Progressor

Position-relative style among eligible MID players.

Style separation0.577

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty-0.51 z
Under-pressure pass rate-1.26 z
Progressive-pass rate+1.67 z
Long-pass rate+1.18 z
Positive forward distance / 100 passes+1.08 z
Carry share of actions-0.15 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 closer1.244
CloserFarther

Strongest alignment

  • Carry Share Of Actions
  • Expected Completion Rate
  • Pressure Pass Rate

Largest difference

Progressive Pass Rate

limited sampleObserved across 1 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

0.0

Goals above expected

-0.0

xG / shot

0.0

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
xG0.03
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

+0.111

Passing impact / 100 passes

+0.098

Carrying impact / 100 carries

+0.126

Progressive-action impact / 100 actions

+0.092

Under-pressure impact / 100 actions

+0.036

111 actions · 61 passes · 50 carries · 48.6% 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
84.6%
Actual vs. expected passing
-1.3 pp

Limited sample — interpret this split cautiously.

Progressive passing

15 attempts

Limited sample
Actual
40.0%
Pass difficulty
48.2%
Actual vs. expected passing
-8.2 pp

Limited sample — interpret this split cautiously.

Long passing

12 attempts

Limited sample
Actual
58.3%
Pass difficulty
50.6%

Progression profile

Progressive-pass rate

23.4%

Pressure-pass rate

9.4%

Average forward distance

2.8 m

Positive forward distance / 100

728.0 m

Final-third entries / 100

20.3

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
99.7%
Outcome
Completed
Attacking impact
-0.0019
Value before
0.0075
Value after
0.0057
Length
28.8 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 1 observed match, so nearest-neighbor rankings may be less stable.

#1 · Same position group

Joshua Kimmich

Bayern Munich · Right Defensive Midfield

Style similarity

69.0 / 100

Long Pass RatePressure Pass RateExpected Completion Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#2 · Same position group

Angelo Stiller

VfB Stuttgart · Left Defensive Midfield

Style similarity

65.6 / 100

Actual vs. expected passing
+7.7 pp

Limited sample — interpret this split cautiously.

Pressure Pass RateCarry Share Of ActionsExpected Completion Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 1 matches

#3 · Same position group

Arne Maier

Augsburg · Right Center Midfield

Style similarity

64.1 / 100

Long Pass RateCarry Share Of ActionsProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#4 · Same position group

Leonardo Bittencourt

Werder Bremen · Right Center Midfield

Style similarity

60.7 / 100

Positive Forward Distance Per 100 PassesLong Pass RatePressure Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#5 · Same position group

Daniel Olmo Carvajal

RB Leipzig · Left Attacking Midfield

Style similarity

59.1 / 100

Pressure Pass RateProgressive Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#6 · Same position group

Xavi Simons

RB Leipzig · Right Attacking Midfield

Style similarity

57.7 / 100

Long Pass RateExpected Completion RateProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 1 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.