Paulo Dybala vs Kang-in Lee Soccer Stats Comparison

Comparing the career performance, market value, and physical attributes of Paulo Dybala (AS Roma) and Kang-in Lee (PSG). Use the interactive radar charts and history timelines below to analyze their head-to-head stats.

CF

Paulo Dybala

AS RomaArgentina

Market Value

€20,000,000

Trailer

Career Honors

3

Leader

G/Game

-

A/Game

-

Contrib/G

-

Career Insight

Paulo Dybala has recorded 182 goals and 80 assists across matches. Standing at 177cm and weighing 75kg, this Left footed player has earned 3 major trophies.

Value trailer vs Kang-in
Highest Value

RW

Kang-in Lee

PSGSouth Korea

Market Value

€40,000,000

Leader

Career Honors

2

Trailer

G/Game

-

A/Game

-

Contrib/G

-

Career Insight

Kang-in Lee has recorded 18 goals and 25 assists across matches. Standing at 173cm and weighing 68kg, this Left footed player has earned 2 major trophies.

Kang-in value leader
Similarity Analysis
93%Match

Statistical Twins

Based on our proprietary algorithm analyzing pace, shooting, passing, dribbling, defending, and physicality.

Distinct Advantages
9

shooting

Dybalais 11% more effective
5

defending

Dybalais 13% more effective
4

dribbling

Dybalais 4% more effective
3

pace

Leeis 4% more effective

Player Identity

Skill Moves

4

Weak Foot

3

Nickname

La Joya

Academy

Instituto

Fun Fact

"He celebrates his goals with the 'Dybala Mask', covering his face with his hand."

Player Identity

Skill Moves

4

Weak Foot

3

Nickname

Kang-in

Academy

Valencia

Fun Fact

"He won the Golden Ball as the best player at the 2019 FIFA U20 World Cup."

Transfer & Career History

Comparing clubs, apps, and goals throughout their professional journey.

Paulo Dybala's Clubs

ClubYearsAppsGoals
Palermo2012-20158921
Juventus2015-202221082
AS Roma2022-Present6028

Kang-in Lee's Clubs

ClubYearsAppsGoals
Mallorca2021-2023666
PSG2023-Present407

Attribute Breakdown

Compare pace, shooting, passing, dribbling, defending, and physicality.

Pace
77/80
Shooting
85/76
Passing
85/83
Dribbling
90/86
Defending
40/35
Physical
59/58

Attribute Radar Comparison

Interactive radar visualization of core technical attributes.

Paulo Dybala
Kang-in Lee

Career Statistics Comparison

Visual breakdown of total career production.

Market Valuation Analysis

Current estimated transfer value (Millions of Euros).

Physical Profile

Side-by-side analysis of age, height, and weight metrics.

Age

Paulo32yrs
Kang-in25yrs

Height

Paulo177cm
Kang-in173cm

Weight

Paulo75kg
Kang-in68kg

Paulo Dybala's Honor Roll

World CupSerie ACoppa Italia

Trophy Distribution

World Stage
Continental
Domestic League
Domestic Cup

Kang-in Lee's Honor Roll

Asian GamesLigue 1

Trophy Distribution

World Stage
Continental
Domestic League
Domestic Cup

Deep Data Matrix

Comprehensive head-to-head metrics comparison.

MetricPaulo DybalaKang-in Lee
ClubAS RomaPSG
LeagueSerie ALigue 1
PositionCFRW
Age3225
Market Value€20,000,000€40,000,000
Jersey Number2119
Total Goals18218
Total Assists8025
National Caps4032
Preferred FootLeftLeft
Height (cm)177173
Weight (kg)7568
Youth AcademyInstitutoValencia
Trophies3 trophies2 trophies
Skill Moves4★4★
Weak Foot3★3★
Birth Date1993-11-152001-02-19
Birth PlaceLaguna Larga, ArgentinaIncheon, South Korea

Player Comparison FAQ

Expert answers to common questions about Paulo Dybala and Kang-in Lee.

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Our Comparison Methodology

GoalArcade provides a comprehensive, data-driven approach to comparing professional soccer players. Our methodology integrates career-long statistics including goals, assists, and appearances across all major domestic and international competitions.

Live Market Valuations

We analyze real-time market trends, age, and recent transfer performance to estimate current player value.

Technical Radar Profiles

Our 6-point attribute system (Pace, Shooting, Passing, Dribbling, Defending, Physical) offers a visual identity of playing style.

Why Use GoalArcade?

Whether you're settling a debate or researching for your fantasy team, GoalArcade's head-to-head tool is built for deep analysis. We go beyond simple goal counts by visualizing similarity indices and relative efficiency metrics within a premium, interactive interface.

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