FSFootyScout
PlayersTeam IntelligenceScoutingLeaderboardCompareArchetypesModel

FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Nicolas Höfler

Freiburg · Right Defensive Midfield · MID

Matches observed2
Pass attempts62
Limited sample

Actual completion

83.9%

52 completed passes

Pass difficulty

88.7%

How difficult a pass was to complete.

Actual vs. expected passing

-4.8 pp

-3.0 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

88.7%

Unavailable among MID players

n = 13 eligible peers · sample 62

requires 100 passes

Under-pressure pass rate

17.7%

Unavailable among MID players

n = 13 eligible peers · sample 62

requires 100 passes

Progressive pass rate

3.2%

Unavailable among MID players

n = 13 eligible peers · sample 62

requires 100 passes

Long-pass rate

11.3%

Unavailable among MID players

n = 13 eligible peers · sample 62

requires 100 passes

Average forward distance

2.4 units

Unavailable among MID players

n = 13 eligible peers · sample 62

requires 100 passes

Positive forward distance / 100 passes

558.9 units

Unavailable among MID players

n = 13 eligible peers · sample 62

requires 100 passes

Final-third entries / 100 passes

6.452

Unavailable among MID players

n = 13 eligible peers · sample 62

requires 100 passes

Carry share of actions

42.3%

17th percentile among MID players

n = 61 eligible peers · sample 97

Progressive carry rate

0.0%

12th percentile among MID players

n = 66 eligible peers · sample 41

Progressive action rate

2.1%

2nd percentile among MID players

n = 61 eligible peers · sample 97

Under-pressure action rate

26.8%

63rd percentile among MID players

n = 61 eligible peers · sample 97

Shots / observed match

0.50 / match

Unavailable among MID players

n = 5 eligible peers · sample 1

requires 20 shots

xG / shot

5.6%

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

-4.8 pp

Unavailable among MID players

n = 13 eligible peers · sample 62

requires 100 passes

Under-pressure completion above expected

-24.6 pp

Unavailable among MID players

n = 10 eligible peers · sample 11

requires 20 pressure passes

Progressive completion above expected

-6.2 pp

Unavailable among MID players

n = 9 eligible peers · sample 2

requires 20 progressive passes

Long-pass completion above expected

+0.4 pp

Unavailable among MID players

n = 9 eligible peers · sample 7

requires 20 long passes

Goals above expected

-0.056

Unavailable among MID players

n = 5 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

-0.049

27th percentile among MID players

n = 61 eligible peers · sample 97

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

Passing impact / 100 passes

-0.085

54th percentile among MID players

n = 58 eligible peers · sample 56

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

Carrying impact / 100 carries

-0.001

0th percentile among MID players

n = 66 eligible peers · sample 41

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

Progressive-action impact / 100 actions

-0.007

30th percentile among MID players

n = 61 eligible peers · sample 97

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

Under-pressure impact / 100 actions

-0.016

8th percentile among MID players

n = 61 eligible peers · sample 97

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

Playing style

Safe Circulator

Position-relative style among eligible MID players.

Style separation0.456

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+0.56 z
Under-pressure pass rate+0.19 z
Progressive-pass rate-1.43 z
Long-pass rate-0.21 z
Positive forward distance / 100 passes-0.26 z
Carry share of actions-0.93 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 closer0.752
CloserFarther

Strongest alignment

  • Positive Forward Distance Per 100 Passes
  • Expected Completion Rate
  • Long Pass Rate

Largest difference

Progressive Pass Rate

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

0.1

Goals above expected

-0.1

xG / shot

0.1

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
xG0.06
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

-0.049

Passing impact / 100 passes

-0.085

Carrying impact / 100 carries

-0.001

Progressive-action impact / 100 actions

-0.007

Under-pressure impact / 100 actions

-0.016

97 actions · 56 passes · 41 carries · 49.5% 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

11 attempts

Limited sample
Actual
54.5%
Pass difficulty
79.1%
Actual vs. expected passing
-24.6 pp

Limited sample — interpret this split cautiously.

Progressive passing

2 attempts

Limited sample
Actual
50.0%
Pass difficulty
56.2%
Actual vs. expected passing
-6.2 pp

Limited sample — interpret this split cautiously.

Long passing

7 attempts

Limited sample
Actual
85.7%
Pass difficulty
85.3%

Progression profile

Progressive-pass rate

3.2%

Pressure-pass rate

17.7%

Average forward distance

2.4 m

Positive forward distance / 100

558.9 m

Final-third entries / 100

6.5

Campos visualization

Pass map

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

Showing 1–62 of 62 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
99.5%
Outcome
Completed
Attacking impact
0.0000
Value before
0.0039
Value after
0.0039
Length
17.3 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

Bartol Franjić

Darmstadt 98 · Right Defensive Midfield

Style similarity

81.0 / 100

Pressure Pass RateProgressive Pass RateExpected Completion Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#2 · Same position group

Leon Goretzka

Bayern Munich · Left Defensive Midfield

Style similarity

79.5 / 100

Actual vs. expected passing
+0.4 pp

Limited sample — interpret this split cautiously.

Positive Forward Distance Per 100 PassesLong Pass RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#3 · Same position group

Leandro Barreiro Martins

FSV Mainz 05 · Right Defensive Midfield

Style similarity

71.2 / 100

Positive Forward Distance Per 100 PassesExpected Completion RatePressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Aleksandar Pavlović

Bayern Munich · Right Defensive Midfield

Style similarity

69.8 / 100

Positive Forward Distance Per 100 PassesPressure Pass RateProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 2 vs 1 matches

#5 · Same position group

Robert Andrich

Bayer Leverkusen · Right Defensive Midfield

Style similarity

69.4 / 100

Long Pass RateExpected Completion RateCarry Share Of Actions

Sample support: Limited · 2 limiting matches

Observed: 2 vs 28 matches

#6 · Same position group

Granit Xhaka

Bayer Leverkusen · Right Defensive Midfield

Style similarity

69.3 / 100

Long Pass RatePressure 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.