FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Anwar El Ghazi

FSV Mainz 05 · Left Attacking Midfield · MID

Matches observed1
Pass attempts10
Limited sample

Actual completion

70.0%

7 completed passes

Pass difficulty

91.7%

How difficult a pass was to complete.

Actual vs. expected passing

-21.7 pp

-2.2 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

91.7%

Unavailable among MID players

n = 13 eligible peers · sample 10

requires 100 passes

Under-pressure pass rate

10.0%

Unavailable among MID players

n = 13 eligible peers · sample 10

requires 100 passes

Progressive pass rate

0.0%

Unavailable among MID players

n = 13 eligible peers · sample 10

requires 100 passes

Long-pass rate

0.0%

Unavailable among MID players

n = 13 eligible peers · sample 10

requires 100 passes

Average forward distance

-2.9 units

Unavailable among MID players

n = 13 eligible peers · sample 10

requires 100 passes

Positive forward distance / 100 passes

145.0 units

Unavailable among MID players

n = 13 eligible peers · sample 10

requires 100 passes

Final-third entries / 100 passes

0.000

Unavailable among MID players

n = 13 eligible peers · sample 10

requires 100 passes

Carry share of actions

47.1%

Unavailable among MID players

n = 61 eligible peers · sample 17

requires 63 actions

Progressive carry rate

25.0%

Unavailable among MID players

n = 66 eligible peers · sample 8

requires 29 carries

Progressive action rate

11.8%

Unavailable among MID players

n = 61 eligible peers · sample 17

requires 63 actions

Under-pressure action rate

23.5%

Unavailable among MID players

n = 61 eligible peers · sample 17

requires 63 actions

Shots / observed match

1.00 / match

Unavailable among MID players

n = 5 eligible peers · sample 1

requires 20 shots

xG / shot

4.3%

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

-21.7 pp

Unavailable among MID players

n = 13 eligible peers · sample 10

requires 100 passes

Under-pressure completion above expected

+20.7 pp

Unavailable among MID players

n = 10 eligible peers · sample 1

requires 20 pressure passes

Progressive completion above expected

—

Unavailable among MID players

n = 9 eligible peers · sample 0

metric unavailable

Long-pass completion above expected

—

Unavailable among MID players

n = 9 eligible peers · sample 0

metric unavailable

Goals above expected

-0.043

Unavailable among MID players

n = 5 eligible peers · sample 1

requires 20 shots

Overall impact / 100 actions

-0.088

Unavailable among MID players

n = 61 eligible peers · sample 17

requires 63 actions

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

Passing impact / 100 passes

-1.018

Unavailable among MID players

n = 58 eligible peers · sample 9

requires 36 passes

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

Carrying impact / 100 carries

0.957

Unavailable among MID players

n = 66 eligible peers · sample 8

requires 29 carries

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

Progressive-action impact / 100 actions

0.338

Unavailable among MID players

n = 61 eligible peers · sample 17

requires 63 actions

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

Under-pressure impact / 100 actions

0.149

Unavailable among MID players

n = 61 eligible peers · sample 17

requires 63 actions

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

Playing style

Archetype unavailable

Limited sample for archetype analysis: requires 50 passes.

Archetypes describe outfield playing tendencies, not quality, ability, or rank.

Role Fit — Bayer Leverkusen

Role Fit unavailable

Role Fit requires at least 50 passes and 29 carries in the product sample.

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.

Limited sample

Overall impact / 100 actions

-0.088

Passing impact / 100 passes

-1.018

Carrying impact / 100 carries

+0.957

Progressive-action impact / 100 actions

+0.338

Under-pressure impact / 100 actions

+0.149

17 actions · 9 passes · 8 carries · 41.2% 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

1 attempts

Limited sample
Actual
100.0%
Pass difficulty
79.3%
Actual vs. expected passing
+20.7 pp

Limited sample — interpret this split cautiously.

Progressive passing

0 attempts

Limited sample
Actual
—
Pass difficulty
—
Actual vs. expected passing
—

Limited sample — interpret this split cautiously.

Long passing

0 attempts

Limited sample
Actual
—
Pass difficulty
—

Progression profile

Progressive-pass rate

0.0%

Pressure-pass rate

10.0%

Average forward distance

-2.9 m

Positive forward distance / 100

145.0 m

Final-third entries / 100

0.0

Campos visualization

Pass map

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

Showing 1–10 of 10 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
96.5%
Outcome
Completed
Attacking impact
-0.0062
Value before
0.0134
Value after
0.0072
Length
8.4 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.

Playing-style similarity unavailable

V3.3B similarity requires an outfield player with at least 50 passes and 29 carries.

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.

Actual vs. expected passing
—

Limited sample — interpret this split cautiously.