RisingTransfers
AI DNA Similarity

Best Alternatives to Young-gwon Kim

Players most similar to Young-gwon Kim (Defender, €2.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Young-gwon Kim

  1. 1.Min-jae Kim89% DNA match·FC Bayern München€25.0M
  2. 2.Nico Elvedi84% DNA match·Borussia Mönchengladbach€4.0M
  3. 3.Kojo Peprah Oppong84% DNA match·Nice€4.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

A Ball-Playing CB....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.5 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (67% duel success), heavily involved in possession (64 passes/90), central to possession (76 touches/90) and uses long balls frequently (9.7/90). The three most similar players to Young-gwon Kim by playing style are:

  • Min-jae Kim(89% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.6 clearances/90), reads the game exceptionally (2.1 interceptions/90), meticulous in distribution (95% pass accuracy), wins the physical battle (64% duel success), heavily involved in possession (88 passes/90), penetrates with forward passing (9.0 final-third passes/90), central to possession (101 touches/90) and a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up.
  • Nico Elvedi(84% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (8.9 clearances/90), meticulous in distribution (93% pass accuracy) and wins the physical battle (69% duel success).
  • Kojo Peprah Oppong(84% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.2 tackles/90), commanding in the air (4.8 clearances/90), meticulous in distribution (92% pass accuracy) and wins the physical battle (61% duel success). Note: this profile is based on 772 minutes of playing time this season.

Transfer Intelligence

Min-jae Kim delivers 89% of the same playing style, at a 1150% premium over Young-gwon Kim, with 1.07 tackles won per 90 at age 29.

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

Y
Comparison Base
Young-gwon Kim
DefenderSouth Korea€2.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Min-jae Kim
FC Bayern München · Bundesliga
South Korea29yContract 2028
Tkl/901.07
KP/900.27
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
vs Kim: €23M more expensive · 7y younger
89% match
€25.0M
#2
N
Nico Elvedi
Borussia Mönchengladbach · Bundesliga
Switzerland29yContract 2027
Tkl/901.70
KP/900.20
Ball-Playing CBAerial
vs Kim: 7y younger
84% match
€4.0M
#3
K
Kojo Peprah Oppong
Nice · Ligue 1
Ghana21yContract 2029
Tkl/902.21
KP/900.23
Ball-Playing CBAerial
Last 5: → Stable
vs Kim: 15y younger
84% match
€4.0M
#4
D
Daniel Elfadli
Hamburger SV · Bundesliga
Libya29yContract 2028
Tkl/902.46
KP/900.27
Ball-Playing CBAerial
84% match
€3.5M
#5
J
Joachim Andersen
Fulham · Premier League
Denmark29yContract 2029
Tkl/901.41
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
83% match
€25.0M
#6
J
Jakub Kiwior
Porto · Liga Portugal
Poland26yContract 2026
Tkl/902.03
KP/900.55
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
83% match
€27.0M
#7
G
Gustaf Lagerbielke
Sporting Braga · Liga Portugal
Sweden26yContract 2030
Tkl/901.02
KP/900.31
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
84% match
€5.0M
#8
W
Waldemar Anton
Borussia Dortmund · Bundesliga
Germany29yContract 2028
Tkl/902.33
KP/900.44
Ball-Playing CBBall-Playing
Last 5: → Stable
83% match
€18.0M
#9
J
Jorge Herrando
Osasuna · La Liga
Spain25yContract 2027
Tkl/901.61
KP/900.20
Ball-Playing CBAerial
Last 5: ↑ Hot
84% match
€3.5M
#10
A
Andreas Heimer
B 93 · Superliga
Denmark28y
Tkl/901.79
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stable
83% match
N/A
#11
C
Chidozie Awaziem
Nantes · Ligue 1
Nigeria29yContract 2028
Tkl/901.60
KP/900.20
Ball-Playing CBAerial
83% match
€3.0M
#12
A
Arthur Theate
Eintracht Frankfurt · Bundesliga
Belgium25yContract 2029
Tkl/902.42
KP/900.70
Ball-Playing CBBall-Playing
83% match
€20.0M

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 Young-gwon Kim.

Ask AI about Young-gwon Kim

Frequently Asked Questions

Who are the best alternatives to Young-gwon Kim?
The top alternatives to Young-gwon Kim based on AI DNA playing style analysis include: Min-jae Kim, Nico Elvedi, Kojo Peprah Oppong, Daniel Elfadli, Joachim Andersen. 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 Young-gwon Kim in 2026?
Players with a similar profile to Young-gwon Kim in 2026 include Min-jae Kim (€25.0M), Nico Elvedi (€4.0M), Kojo Peprah Oppong (€4.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Young-gwon Kim play and who plays similarly?
Young-gwon Kim plays as a Defender. Players with a comparable positional profile include Min-jae Kim (South Korea, €25.0M); Nico Elvedi (Switzerland, €4.0M); Kojo Peprah Oppong (Ghana, €4.0M); Daniel Elfadli (Libya, €3.5M).
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.