FSFootyScout
PlayersTeam IntelligenceScoutingLeaderboardCompareArchetypesModel

FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Mitchell Weiser

Werder Bremen · Right Wing Back · DEF

Matches observed2
Pass attempts84
Limited sample

Actual completion

81.0%

68 completed passes

Pass difficulty

79.8%

How difficult a pass was to complete.

Actual vs. expected passing

+1.2 pp

+1.0 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

79.8%

Unavailable among DEF players

n = 23 eligible peers · sample 84

requires 100 passes

Under-pressure pass rate

26.2%

Unavailable among DEF players

n = 23 eligible peers · sample 84

requires 100 passes

Progressive pass rate

19.0%

Unavailable among DEF players

n = 23 eligible peers · sample 84

requires 100 passes

Long-pass rate

16.7%

Unavailable among DEF players

n = 23 eligible peers · sample 84

requires 100 passes

Average forward distance

3.7 units

Unavailable among DEF players

n = 23 eligible peers · sample 84

requires 100 passes

Positive forward distance / 100 passes

753.5 units

Unavailable among DEF players

n = 23 eligible peers · sample 84

requires 100 passes

Final-third entries / 100 passes

8.333

Unavailable among DEF players

n = 23 eligible peers · sample 84

requires 100 passes

Carry share of actions

43.8%

47th percentile among DEF players

n = 94 eligible peers · sample 144

Progressive carry rate

9.5%

90th percentile among DEF players

n = 87 eligible peers · sample 63

Progressive action rate

14.6%

81st percentile among DEF players

n = 94 eligible peers · sample 144

Under-pressure action rate

32.6%

98th percentile among DEF players

n = 94 eligible peers · sample 144

Shots / observed match

0.50 / match

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

xG / shot

33.1%

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

+1.2 pp

Unavailable among DEF players

n = 23 eligible peers · sample 84

requires 100 passes

Under-pressure completion above expected

-0.7 pp

25th percentile among DEF players

n = 13 eligible peers · sample 22

Progressive completion above expected

-4.3 pp

Unavailable among DEF players

n = 17 eligible peers · sample 16

requires 20 progressive passes

Long-pass completion above expected

-8.6 pp

Unavailable among DEF players

n = 21 eligible peers · sample 14

requires 20 long passes

Goals above expected

-0.331

Unavailable among DEF players

n = 4 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

0.032

66th percentile among DEF players

n = 94 eligible peers · sample 144

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

Passing impact / 100 passes

-0.084

29th percentile among DEF players

n = 94 eligible peers · sample 81

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

Carrying impact / 100 carries

0.182

93rd percentile among DEF players

n = 87 eligible peers · sample 63

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

Progressive-action impact / 100 actions

0.024

67th percentile among DEF players

n = 94 eligible peers · sample 144

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

Under-pressure impact / 100 actions

0.092

96th percentile among DEF players

n = 94 eligible peers · sample 144

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

Playing style

Safe Circulator

Position-relative style among eligible DEF players.

Style separation0.023

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty-0.70 z
Under-pressure pass rate+2.52 z
Progressive-pass rate+0.39 z
Long-pass rate+0.11 z
Positive forward distance / 100 passes-0.51 z
Carry share of actions-0.08 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 closer1.371
CloserFarther

Strongest alignment

  • Positive Forward Distance Per 100 Passes
  • Carry Share Of Actions
  • Long Pass Rate

Largest difference

Pressure Pass Rate

limited sampleObserved across 2 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

0.3

Goals above expected

-0.3

xG / shot

0.3

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
xG0.33
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

+0.032

Passing impact / 100 passes

-0.084

Carrying impact / 100 carries

+0.182

Progressive-action impact / 100 actions

+0.024

Under-pressure impact / 100 actions

+0.092

144 actions · 81 passes · 63 carries · 49.3% 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

22 attempts

Reliable sample
Actual
77.3%
Pass difficulty
77.9%
Actual vs. expected passing
-0.7 pp

Progressive passing

16 attempts

Limited sample
Actual
43.8%
Pass difficulty
48.0%
Actual vs. expected passing
-4.3 pp

Limited sample — interpret this split cautiously.

Long passing

14 attempts

Limited sample
Actual
50.0%
Pass difficulty
58.6%
Actual vs. expected passing

Progression profile

Progressive-pass rate

19.0%

Pressure-pass rate

26.2%

Average forward distance

3.7 m

Positive forward distance / 100

753.5 m

Final-third entries / 100

8.3

Campos visualization

Pass map

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

Showing 1–84 of 84 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
94.4%
Outcome
Completed
Attacking impact
0.0026
Value before
0.0049
Value after
0.0075
Length
10.0 m
Context
Under pressure
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

Sepp van den Berg

FSV Mainz 05 · Right Center Back

Style similarity

67.3 / 100

Carry Share Of ActionsLong Pass RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Dominik Kohr

FSV Mainz 05 · Right Center Back

Style similarity

65.4 / 100

-8.6 pp

Limited sample — interpret this split cautiously.

Carry Share Of ActionsLong Pass RatePositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Julián Malatini

Werder Bremen · Right Center Back

Style similarity

65.0 / 100

Positive Forward Distance Per 100 PassesLong Pass RateProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#4 · Same position group

Keven Schlotterbeck

Bochum · Left Center Back

Style similarity

65.0 / 100

Pressure Pass RateLong Pass RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Milos Veljkovic

Werder Bremen · Right Center Back

Style similarity

64.3 / 100

Carry Share Of ActionsLong Pass RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Iago Amaral Borduchi

Augsburg · Left Back

Style similarity

61.5 / 100

Progressive Pass RatePositive Forward Distance Per 100 PassesExpected Completion 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.