RisingTransfers
AI DNA Similarity

Best Alternatives to Kang-in Lee

Players most similar to Kang-in Lee (Midfielder, €25.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Kang-in Lee

  1. 1.Matt O'Riley84% DNA match·Brighton & Hove Albion€20.0M
  2. 2.Vitinha82% DNA match·Paris Saint Germain€110.0M
  3. 3.Paul Pogba81% DNA match·Monaco€5.0M

Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.

RT

Intelligence Verdict

Key PassesTop 0%
???Bottom 22%

A Creator....

See Full Verdict + Share Card →

Playing Style Analysis

CreatorCreativeSmall Sample

A Creator. Statistically, he stands out as naturally left-footed, an elite creator (3.7 key passes/90), a regular goalscorer (0.24 goals/90), meticulous in distribution (91% pass accuracy), heavily involved in possession (67 passes/90), creates high-quality scoring opportunities (0.83 big chances/90), delivers dangerous crosses (2.9 accurate crosses/90), penetrates with forward passing (8.1 final-third passes/90), central to possession (89 touches/90), switches play with precision (6.7 long balls/90, 73% accuracy) and top 10% creator in the league. Note: this profile is based on 757 minutes of playing time this season. The three most similar players to Kang-in Lee by playing style are:

  • Matt O'Riley(84% match)A Creator. Statistically, he stands out as naturally left-footed, an elite creator (1.5 key passes/90), a reliable supplier (0.24 assists/90), active in the tackle (2.1 tackles/90), meticulous in distribution (88% pass accuracy), creates high-quality scoring opportunities (0.59 big chances/90), heavily involved in play (64 touches/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 762 minutes of playing time this season.
  • Vitinha(82% match)A Metronome. Statistically, he stands out as an elite creator (1.6 key passes/90), a prolific assist provider (0.35 assists/90), meticulous in distribution (94% pass accuracy), heavily involved in possession (117 passes/90), penetrates with forward passing (17.6 final-third passes/90), central to possession (127 touches/90), switches play with precision (8.7 long balls/90, 76% accuracy) and a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up.
  • Paul Pogba(81% match)A Creator. Statistically, he stands out as comfortable with both feet, an elite creator (1.6 key passes/90), a prolific assist provider (0.60 assists/90) and a dynamic dribbler (2.6/90).

Transfer Intelligence

Matt O'Riley delivers 84% of the same playing style, at 20% lower cost (€20.0M vs €25.0M), with 1.74 key passes per 90 at age 25.

Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →

K
Comparison Base
Kang-in Lee
MidfielderSouth Korea€25.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Matt O'Riley
Brighton & Hove Albion · Ligue 1
England25yContract 2029
KP/901.74
G/900.00
CreatorCreative
Last 5: ↓ Dip
84% match
€20.0M
#2
V
Vitinha
Paris Saint Germain · Ligue 1
Portugal26yContract 2029
KP/901.56
G/900.38
MetronomeCreative
Last 5: → Stable
vs Lee: €85M more expensive
82% match
€110.0M
#3
P
Paul Pogba
Monaco · Ligue 1
France33yContract 2027
KP/901.60
G/900.07
CreatorCreative
vs Lee: €20M cheaper · 8y older
81% match
€5.0M
#4
D
Diego Moreira
Strasbourg · Ligue 1
Portugal21yContract 2029
KP/901.58
G/900.00
Box-to-BoxCreative
Last 5: → Stable
81% match
€18.0M
#5
A
Adam Karabec
Olympique Lyonnais · Ligue 1
Czech Republic22yContract 2026
KP/902.85
G/900.38
CreatorCreative
82% match
€8.0M
#6
W
Woo-yeong Jeong
FC Union Berlin · Bundesliga
South Korea26yContract 2025
KP/900.38
G/900.38
Creator
82% match
€3.5M
#7
W
Warren Zaïre-Emery
Paris Saint Germain · Ligue 1
France20yContract 2029
KP/901.50
G/900.00
MetronomeCreative
Last 5: → Stable
82% match
€50.0M
#8
N
Nabil Bentaleb
LOSC Lille · Ligue 1
Algeria31yContract 2026
KP/901.15
G/900.00
Metronome
Last 5: ↓ Dip
81% match
€5.0M
#9
I
In-beom Hwang
Feyenoord · Eredivisie
South Korea29yContract 2028
KP/902.17
G/900.09
Box-to-BoxCreative
Last 5: ↑ Hot
81% match
€8.0M
#10
S
Senny Mayulu
Paris Saint Germain · Ligue 1
France19yContract 2027
KP/902.26
G/900.19
CreatorCreative
Last 5: ↑ Hot
81% match
€40.0M
#11
A
André Gomes
LOSC Lille · Ligue 1
Portugal32yContract 2026
KP/900.98
G/900.00
Metronome
Last 5: → Stable
80% match
€4.5M
#12
E
Eduardo Camavinga
Real Madrid · La Liga
France23yContract 2029
KP/900.69
G/900.14
MetronomeDefensive
Last 5: → Stable
81% match
€50.0M

Ask AI: Why are these players similar?

Our 768-dimension Player DNA model matches playing style, physical profile, pressing intensity, and tactical fit. Ask the AI to explain exactly what makes these players statistically similar to Kang-in Lee.

Ask AI about Kang-in Lee

Frequently Asked Questions

Who are the best alternatives to Kang-in Lee?
The top alternatives to Kang-in Lee based on AI DNA playing style analysis include: Matt O'Riley, Vitinha, Paul Pogba, Diego Moreira, Adam Karabec. These players were matched using Rising Transfers' 768-dimension DNA model across playing style, pressing intensity, and tactical fit — not just position or market value.
Which players are similar to Kang-in Lee in 2026?
Players with a similar profile to Kang-in Lee in 2026 include Matt O'Riley (€20.0M), Vitinha (€110.0M), Paul Pogba (€5.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Kang-in Lee play and who plays similarly?
Kang-in Lee plays as a Midfielder. Players with a comparable positional profile include Matt O'Riley (England, €20.0M); Vitinha (Portugal, €110.0M); Paul Pogba (France, €5.0M); Diego Moreira (Portugal, €18.0M).
How does Rising Transfers find similar players?
Rising Transfers uses a proprietary 768-dimension Player DNA model trained on 3.2 million match events. Each player is represented as a vector across 35+ per-90 metrics including pressing intensity, passing footprint, dribbling profile, and defensive contribution. Similarity is measured using cosine distance — the same technique used in state-of-the-art AI systems — making it the most precise player comparison tool available publicly.