AI DNA Similarity
Best Alternatives to Jeong-hoon Kim
Players most similar to Jeong-hoon Kim (Goalkeeper, €430K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Jeong-hoon Kim
- 1.Anders Ravn100% DNA match·Hvidovre
- 2.J. Dakir100% DNA match·Hobro
- 3.Furkan Bekleviç100% DNA match·Fatih Karagümrük
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
???Bottom 0%
“A Traditional Keeper....”
See Full Verdict + Share Card →Playing Style Analysis
Traditional Keeper
A Traditional Keeper. Statistically, he stands out as dominant in aerial duels (100% success). The three most similar players to Jeong-hoon Kim by playing style are:
- Anders Ravn(100% match) — A Traditional Keeper. Statistically, he stands out as dominant in aerial duels (92% success).
- J. Dakir(100% match) — A Traditional Keeper. Statistically, he stands out as dominant in aerial duels (96% success).
- Furkan Bekleviç(100% match) — A Traditional Keeper. Statistically, he stands out as dominant in aerial duels (100% success).
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
#1
A
Anders Ravn
Hvidovre · Superliga
Denmark21y
Tkl/900.21
Traditional Keeper
vs Kim: 4y younger
100% match
N/A
#2
J
J. Dakir
Hobro · Superliga
Denmark29y
Tkl/900.00
Traditional Keeper
vs Kim: 4y older
100% match
N/A
#3
F
Furkan Bekleviç
Fatih Karagümrük · Super Lig
Turkey27y
Tkl/900.00
Traditional Keeper
vs Kim: 2y older
100% match
N/A
#4
C
Christian Ortag
Ulm · Bundesliga
Germany31yContract 2028
Tkl/900.00
Traditional Keeper
100% match
N/A
#5
J
Juan Castillo
Vitória Guimarães · Liga Portugal
Colombia23yContract 2029
Tkl/900.07
Traditional Keeper
100% match
N/A
#6
E
Ertuğrul Taşkıran
Alanyaspor · Super Lig
Turkey36yContract 2026
Tkl/900.15
Traditional Keeper
99% match
N/A
#7
B
Bahadır Güngördü
Konyaspor · Super Lig
Turkey30yContract 2027
Tkl/900.00
Traditional Keeper
99% match
N/A
#8
A
Aitor Fraga
Real Sociedad · La Liga
Spain23y
Tkl/900.00
Traditional Keeper
99% match
N/A
#9
L
Luca Gunter
Tottenham Hotspur · Premier League
England21y
Tkl/900.00
Traditional Keeper
98% match
N/A
#10
C
Cihan Topaloğlu
Ümraniyespor · Super Lig
Turkey34yContract 2025
Tkl/900.11
Traditional Keeper
97% match
N/A
#11
S
Simão Verza Bertelli
AVS · Liga Portugal
Brazil32yContract 2026
Tkl/900.00
Traditional Keeper
98% match
N/A
#12
A
André Nogueira Gomes
Alverca · Liga Portugal
Portugal21y
Tkl/900.00
Traditional Keeper
97% match
N/A
⬡
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 Jeong-hoon Kim.
Ask AI about Jeong-hoon Kim →Frequently Asked Questions
Who are the best alternatives to Jeong-hoon Kim?▼
The top alternatives to Jeong-hoon Kim based on AI DNA playing style analysis include: Anders Ravn, J. Dakir, Furkan Bekleviç, Christian Ortag, Juan Castillo. 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 Jeong-hoon Kim in 2026?▼
Players with a similar profile to Jeong-hoon Kim in 2026 include Anders Ravn (N/A), J. Dakir (N/A), Furkan Bekleviç (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jeong-hoon Kim play and who plays similarly?▼
Jeong-hoon Kim plays as a Goalkeeper. Players with a comparable positional profile include Anders Ravn (Denmark, N/A); J. Dakir (Denmark, N/A); Furkan Bekleviç (Turkey, N/A); Christian Ortag (Germany, N/A).
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.