AI DNA Similarity
Best Alternatives to Jung-min Kim
Players most similar to Jung-min Kim (Midfielder, €700K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Jung-min Kim
- 1.F. Mortensen97% DNA match·Hobro
- 2.Frederik Juul Christensen97% DNA match·Horsens
- 3.Izan Merino96% DNA match·Málaga
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
???Bottom 0%
“A Midfielder....”
See Full Verdict + Share Card →Playing Style Analysis
A Midfielder. Statistically, he stands out as meticulous in distribution (86% pass accuracy) and top 20% creator in the league. The three most similar players to Jung-min Kim by playing style are:
- F. Mortensen(97% match) — A Midfielder. Statistically, he stands out as meticulous in distribution (91% pass accuracy).
- Frederik Juul Christensen(97% match) — A Midfielder. Statistically, he stands out as meticulous in distribution (86% pass accuracy) and heavily involved in play (55 touches/90).
- Izan Merino(96% match) — A Midfielder. Statistically, he stands out as meticulous in distribution (91% pass accuracy), wins the physical battle (58% duel success) and heavily involved in play (53 touches/90).
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
F
F. Mortensen
Hobro · Superliga
Denmark27y
KP/900.38
G/900.00
97% match
N/A
#2
F
Frederik Juul Christensen
Horsens · Superliga
Denmark26y
KP/900.44
G/900.00
97% match
N/A
#3
I
Izan Merino
Málaga · La Liga
Spain20yContract 2028
KP/900.44
G/900.00
vs Kim: 6y younger
96% match
N/A
#4
J
Jeppe Andersen
Silkeborg IF · Superliga
Denmark33yContract 2026
KP/900.62
G/900.31
95% match
N/A
#5
D
Davy van den Berg
Luton Town · Eredivisie
Netherlands26yContract 2026
KP/900.87
G/900.00
Balanced Midfielder
Last 5: → Stable94% match
N/A
#6
D
Darko Lazović
Al Wahda · Serie A
Serbia35y
KP/901.07
G/900.12
94% match
N/A
#7
N
Nikolaj Juul-Sandberg
Middelfart · Superliga
Denmark20y
KP/901.65
G/900.00
CreatorCreative
Last 5: ↓ Dip94% match
N/A
#8
N
Nick Runderkamp
RKAV Volendam · Eredivisie
Netherlands29y
KP/900.00
G/900.15
94% match
N/A
#9
A
Alan de Souza Guimarães
Moreirense · Liga Portugal
Brazil26yContract 2026
KP/901.43
G/900.17
Creator
Last 5: → Stable94% match
N/A
#10
P
Paulo Moreira
Estrela Amadora · Liga Portugal
Portugal26yContract 2026
KP/900.51
G/900.12
Balanced Midfielder
Last 5: ↓ Dip94% match
N/A
#11
O
Ole Pohlmann
Rio Ave · Liga Portugal
Germany25yContract 2027
KP/900.78
G/900.05
Creator
Last 5: ↓ Dip94% match
N/A
#12
B
B. Kücükylidiz
Hillerød · Superliga
Denmark25y
KP/900.00
G/900.00
Small Sample
94% 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 Jung-min Kim.
Ask AI about Jung-min Kim →Frequently Asked Questions
Who are the best alternatives to Jung-min Kim?▼
The top alternatives to Jung-min Kim based on AI DNA playing style analysis include: F. Mortensen, Frederik Juul Christensen, Izan Merino, Jeppe Andersen, Davy van den Berg. 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 Jung-min Kim in 2026?▼
Players with a similar profile to Jung-min Kim in 2026 include F. Mortensen (N/A), Frederik Juul Christensen (N/A), Izan Merino (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jung-min Kim play and who plays similarly?▼
Jung-min Kim plays as a Midfielder. Players with a comparable positional profile include F. Mortensen (Denmark, N/A); Frederik Juul Christensen (Denmark, N/A); Izan Merino (Spain, N/A); Jeppe Andersen (Denmark, 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.