FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Romano Schmid

Werder Bremen · Left Center Midfield · MID

Matches observed2
Pass attempts105
Reliable sample

Actual completion

73.3%

77 completed passes

Pass difficulty

83.1%

How difficult a pass was to complete.

Actual vs. expected passing

-9.8 pp

-10.3 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.

102030405060708090Under-pressure pass rateProgressive pass rateLong-pass rateProgressive carry rateActual vs. expected passingCarrying impact / 100 carries
Style
Performance
0–100 empirical percentiles among eligible same-position peers.

Style

Tendencies describe what a player attempts; higher is not automatically better.

Pass difficulty

83.1%

8th percentile among MID players

n = 13 eligible peers · sample 105

Under-pressure pass rate

26.7%

92nd percentile among MID players

n = 13 eligible peers · sample 105

Progressive pass rate

16.2%

58th percentile among MID players

n = 13 eligible peers · sample 105

Long-pass rate

17.1%

92nd percentile among MID players

n = 13 eligible peers · sample 105

Average forward distance

3.3 units

83rd percentile among MID players

n = 13 eligible peers · sample 105

Positive forward distance / 100 passes

766.3 units

100th percentile among MID players

n = 13 eligible peers · sample 105

Final-third entries / 100 passes

10.476

83rd percentile among MID players

n = 13 eligible peers · sample 105

Carry share of actions

48.5%

75th percentile among MID players

n = 61 eligible peers · sample 196

Progressive carry rate

8.4%

82nd percentile among MID players

n = 66 eligible peers · sample 95

Progressive action rate

12.8%

75th percentile among MID players

n = 61 eligible peers · sample 196

Under-pressure action rate

41.8%

97th percentile among MID players

n = 61 eligible peers · sample 196

Shots / observed match

0.50 / match

Unavailable among MID players

n = 5 eligible peers · sample 1

requires 20 shots

xG / shot

3.8%

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

-9.8 pp

0th percentile among MID players

n = 13 eligible peers · sample 105

Under-pressure completion above expected

-9.6 pp

0th percentile among MID players

n = 10 eligible peers · sample 28

Progressive completion above expected

-14.1 pp

Unavailable among MID players

n = 9 eligible peers · sample 17

requires 20 progressive passes

Long-pass completion above expected

-3.9 pp

Unavailable among MID players

n = 9 eligible peers · sample 18

requires 20 long passes

Goals above expected

-0.038

Unavailable among MID players

n = 5 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

0.074

83rd percentile among MID players

n = 61 eligible peers · sample 196

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

Passing impact / 100 passes

-0.016

67th percentile among MID players

n = 58 eligible peers · sample 101

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

Carrying impact / 100 carries

0.171

78th percentile among MID players

n = 66 eligible peers · sample 95

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

Progressive-action impact / 100 actions

0.094

82nd percentile among MID players

n = 61 eligible peers · sample 196

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

Under-pressure impact / 100 actions

0.046

68th percentile among MID players

n = 61 eligible peers · sample 196

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

Playing style

Direct Progressor

Position-relative style among eligible MID players.

Style separation0.284

↑Progressive-pass rate (higher)

↓Pass difficulty (lower)

↑Positive forward distance / 100 passes (higher)

↑Long-pass rate (higher)

Pass difficulty-0.65 z
Under-pressure pass rate+1.74 z
Progressive-pass rate+0.56 z
Long-pass rate+0.88 z
Positive forward distance / 100 passes+1.39 z
Carry share of actions+0.82 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 closer1.299
CloserFarther

Strongest alignment

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

Largest difference

Pressure 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

0.0

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

+0.074

Passing impact / 100 passes

-0.016

Carrying impact / 100 carries

+0.171

Progressive-action impact / 100 actions

+0.094

Under-pressure impact / 100 actions

+0.046

196 actions · 101 passes · 95 carries · 54.1% 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

28 attempts

Reliable sample
Actual
75.0%
Pass difficulty
84.6%
Actual vs. expected passing
-9.6 pp

Progressive passing

17 attempts

Limited sample
Actual
29.4%
Pass difficulty
43.5%
Actual vs. expected passing
-14.1 pp

Limited sample — interpret this split cautiously.

Long passing

18 attempts

Limited sample
Actual
55.6%
Pass difficulty
59.4%
Actual vs. expected passing

Progression profile

Progressive-pass rate

16.2%

Pressure-pass rate

26.7%

Average forward distance

3.3 m

Positive forward distance / 100

766.3 m

Final-third entries / 100

10.5

Campos visualization

Pass map

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

Showing 1–105 of 105 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
61.6%
Outcome
Incomplete
Attacking impact
-0.0139
Value before
0.0139
Value after
0.0000
Length
8.7 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

Nadiem Amiri

Bayer Leverkusen · Left Defensive Midfield

Style similarity

72.9 / 100

Carry Share Of ActionsExpected Completion RateProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 8 matches

#2 · Same position group

Niklas Dorsch

Augsburg · Center Defensive Midfield

Style similarity

57.5 / 100

-3.9 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

Aïssa Bilal Laïdouni

Union Berlin · Left Defensive Midfield

Style similarity

55.1 / 100

Expected Completion RateCarry Share Of ActionsPositive Forward Distance Per 100 Passes

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#4 · Same position group

Lennard Maloney

FC Heidenheim · Right Defensive Midfield

Style similarity

54.7 / 100

Positive Forward Distance Per 100 PassesExpected Completion RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#5 · Same position group

Leonardo Bittencourt

Werder Bremen · Right Center Midfield

Style similarity

53.7 / 100

Long Pass RatePositive Forward Distance Per 100 PassesProgressive Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 2 vs 2 matches

#6 · Same position group

Ellyes Joris Skhiri

Eintracht Frankfurt · Left Defensive Midfield

Style similarity

52.0 / 100

Progressive Pass RateLong Pass RatePositive Forward Distance Per 100 Passes

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.