FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Stefan Bell

FSV Mainz 05 · Center Back · DEF

Matches observed1
Pass attempts54
Limited sample

Actual completion

88.9%

48 completed passes

Pass difficulty

86.3%

How difficult a pass was to complete.

Actual vs. expected passing

+2.6 pp

+1.4 completions vs model expectation

Actual pass completion compared with the model's expected completion.

Player intelligence

Position profile

DEF 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

86.3%

Unavailable among DEF players

n = 23 eligible peers · sample 54

requires 100 passes

Under-pressure pass rate

13.0%

Unavailable among DEF players

n = 23 eligible peers · sample 54

requires 100 passes

Progressive pass rate

9.3%

Unavailable among DEF players

n = 23 eligible peers · sample 54

requires 100 passes

Long-pass rate

13.0%

Unavailable among DEF players

n = 23 eligible peers · sample 54

requires 100 passes

Average forward distance

8.0 units

Unavailable among DEF players

n = 23 eligible peers · sample 54

requires 100 passes

Positive forward distance / 100 passes

985.4 units

Unavailable among DEF players

n = 23 eligible peers · sample 54

requires 100 passes

Final-third entries / 100 passes

3.704

Unavailable among DEF players

n = 23 eligible peers · sample 54

requires 100 passes

Carry share of actions

45.1%

68th percentile among DEF players

n = 94 eligible peers · sample 91

Progressive carry rate

0.0%

16th percentile among DEF players

n = 87 eligible peers · sample 41

Progressive action rate

4.4%

11th percentile among DEF players

n = 94 eligible peers · sample 91

Under-pressure action rate

11.0%

26th percentile among DEF players

n = 94 eligible peers · sample 91

Shots / observed match

1.00 / match

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

xG / shot

4.1%

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

+2.6 pp

Unavailable among DEF players

n = 23 eligible peers · sample 54

requires 100 passes

Under-pressure completion above expected

+1.6 pp

Unavailable among DEF players

n = 13 eligible peers · sample 7

requires 20 pressure passes

Progressive completion above expected

-7.9 pp

Unavailable among DEF players

n = 17 eligible peers · sample 5

requires 20 progressive passes

Long-pass completion above expected

+5.4 pp

Unavailable among DEF players

n = 21 eligible peers · sample 7

requires 20 long passes

Goals above expected

-0.041

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

0.001

35th percentile among DEF players

n = 94 eligible peers · sample 91

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

Passing impact / 100 passes

-0.020

56th percentile among DEF players

n = 94 eligible peers · sample 50

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

Carrying impact / 100 carries

0.026

14th percentile among DEF players

n = 87 eligible peers · sample 41

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

Progressive-action impact / 100 actions

-0.001

45th percentile among DEF players

n = 94 eligible peers · sample 91

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

Under-pressure impact / 100 actions

-0.026

4th percentile among DEF players

n = 94 eligible peers · sample 91

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

Playing style

Safe Circulator

Position-relative style among eligible DEF players.

Style separation0.573

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+0.43 z
Under-pressure pass rate+0.12 z
Progressive-pass rate-0.96 z
Long-pass rate-0.44 z
Positive forward distance / 100 passes+0.44 z
Carry share of actions+0.39 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

DEF role

How closely a player's playing style matches this role. Compared with Bayer Leverkusen's observed DEF role.

Role distance · lower is closer0.603
CloserFarther

Strongest alignment

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

Largest difference

Positive Forward Distance Per 100 Passes

limited sampleObserved across 1 matchesRole: 34 matches · 9 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
xG0.04
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

+0.001

Passing impact / 100 passes

-0.020

Carrying impact / 100 carries

+0.026

Progressive-action impact / 100 actions

-0.001

Under-pressure impact / 100 actions

-0.026

91 actions · 50 passes · 41 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

7 attempts

Limited sample
Actual
57.1%
Pass difficulty
55.6%
Actual vs. expected passing
+1.6 pp

Limited sample — interpret this split cautiously.

Progressive passing

5 attempts

Limited sample
Actual
40.0%
Pass difficulty
47.9%
Actual vs. expected passing
-7.9 pp

Limited sample — interpret this split cautiously.

Long passing

7 attempts

Limited sample
Actual
57.1%
Pass difficulty
51.7%

Progression profile

Progressive-pass rate

9.3%

Pressure-pass rate

13.0%

Average forward distance

8.0 m

Positive forward distance / 100

985.4 m

Final-third entries / 100

3.7

Campos visualization

Pass map

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

Showing 1–54 of 54 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
4.1%
Outcome
Incomplete
Attacking impact
—
Value before
—
Value after
—
Length
49.1 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 1 observed match, so nearest-neighbor rankings may be less stable.

#1 · Same position group

Ozan Muhammed Kabak

Hoffenheim · Right Center Back

Style similarity

86.8 / 100

Pressure Pass RateExpected Completion RateProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#2 · Same position group

Edmond Fayçal Tapsoba

Bayer Leverkusen · Left Center Back

Style similarity

82.8 / 100

Actual vs. expected passing
+5.4 pp

Limited sample — interpret this split cautiously.

Long Pass RatePositive Forward Distance Per 100 PassesPressure Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 27 matches

#3 · Same position group

Kevin Akpoguma

Hoffenheim · Left Center Back

Style similarity

78.9 / 100

Progressive Pass RateExpected Completion RateLong Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 1 matches

#4 · Same position group

Lucas Silva Melo

Eintracht Frankfurt · Right Back

Style similarity

76.6 / 100

Expected Completion RateLong Pass RatePressure Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#5 · Same position group

Diogo Filipe Monteiro Pinto Leite

Union Berlin · Left Center Back

Style similarity

76.5 / 100

Pressure Pass RateExpected Completion RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#6 · Same position group

Anthony Jung

Werder Bremen · Left Center Back

Style similarity

76.0 / 100

Expected Completion RateCarry Share Of ActionsPositive Forward Distance Per 100 Passes

Sample support: Limited · 1 limiting matches

Observed: 1 vs 1 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.