Kang-in Lee vs William Saliba Soccer Stats Comparison

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

RW

Kang-in Lee

PSGSouth Korea

Market Value

€40,000,000

Trailer

Career Honors

2

Equal

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.

Value trailer vs William
Highest Value

CB

William Saliba

ArsenalFrance

Market Value

€80,000,000

Leader

Career Honors

2

Equal

G/Game

-

A/Game

-

Contrib/G

-

Career Insight

William Saliba has recorded 7 goals and 2 assists across matches. Standing at 192cm and weighing 92kg, this Right footed player has earned 2 major trophies.

William value leader
Similarity Analysis
57%Match

Diverse Styles

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

Distinct Advantages
52

defending

Salibais 60% more effective
37

shooting

Leeis 49% more effective
24

physical

Salibais 29% more effective
14

dribbling

Leeis 16% more effective

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."

Player Identity

Skill Moves

2

Weak Foot

3

Nickname

Wilo

Academy

Saint-Étienne

Fun Fact

"He was coached by Kylian Mbappé’s father at AS Bondy."

Transfer & Career History

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

Kang-in Lee's Clubs

ClubYearsAppsGoals
Mallorca2021-2023666
PSG2023-Present407

William Saliba's Clubs

ClubYearsAppsGoals
Saint-Étienne2018-2019280
Marseille2021-2022360
Arsenal2022-Present755

Attribute Breakdown

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

Pace
80/82
Shooting
76/39
Passing
83/70
Dribbling
86/72
Defending
35/87
Physical
58/82

Attribute Radar Comparison

Interactive radar visualization of core technical attributes.

Kang-in Lee
William Saliba

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

Kang-in25yrs
William25yrs

Height

Kang-in173cm
William192cm

Weight

Kang-in68kg
William92kg

Kang-in Lee's Honor Roll

Asian GamesLigue 1

Trophy Distribution

World Stage
Continental
Domestic League
Domestic Cup

William Saliba's Honor Roll

Community ShieldLigue 1 Young Player of the Year

Trophy Distribution

World Stage
Continental
Domestic League
Domestic Cup

Deep Data Matrix

Comprehensive head-to-head metrics comparison.

MetricKang-in LeeWilliam Saliba
ClubPSGArsenal
LeagueLigue 1Premier League
PositionRWCB
Age2525
Market Value€40,000,000€80,000,000
Jersey Number192
Total Goals187
Total Assists252
National Caps3223
Preferred FootLeftRight
Height (cm)173192
Weight (kg)6892
Youth AcademyValenciaSaint-Étienne
Trophies2 trophies2 trophies
Skill Moves4★2★
Weak Foot3★3★
Birth Date2001-02-192001-03-24
Birth PlaceIncheon, South KoreaBondy, France

Player Comparison FAQ

Expert answers to common questions about Kang-in Lee and William Saliba.

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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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