AI DNA Similarity
Best Alternatives to Seong-hoon Cheon
Players most similar to Seong-hoon Cheon (Attacker, €471K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Seong-hoon Cheon
- 1.Khayon Edwards87% DNA match·Estoril
- 2.Vaclav Jurecka84% DNA match·Baník Ostrava
- 3.Nikola Gjorgjev84% DNA match·Farense
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Chances MissedTop 0%
???Bottom 0%
“A Complete Forward....”
See Full Verdict + Share Card →Playing Style Analysis
Complete ForwardSmall Sample
A Complete Forward. Statistically, he stands out as a regular goalscorer (0.30 goals/90). Note: this profile is based on 607 minutes of playing time this season. The three most similar players to Seong-hoon Cheon by playing style are:
- Khayon Edwards(87% match) — Khayon Edwards is a Forward. Versatile attacking option. (Limited sample: 317 mins)
- Vaclav Jurecka(84% match) — Václav Jurečka is a Forward. Versatile attacking option. However, he loses possession under pressure (1.8 dispossessed/90).
- Nikola Gjorgjev(84% match) — Nikola Gjorgjev is a Forward. Versatile attacking option. (Limited sample: 337 mins)
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
K
Khayon Edwards
Estoril · Liga Portugal
England22y
G/900.00
A/900.00
Small Sample
vs Cheon: 3y younger
87% match
N/A
#2
V
Vaclav Jurecka
Baník Ostrava · Super Lig
Czech Republic31y
G/900.19
A/900.00
Small Sample
Last 5: ↓ Dipvs Cheon: 6y older
84% match
N/A
#3
N
Nikola Gjorgjev
Farense · Liga Portugal
Switzerland28y
G/900.00
A/900.00
Small Sample
vs Cheon: 3y older
84% match
N/A
#4
E
Enzo Stroo
Lisse · Eredivisie
Netherlands31y
G/900.00
A/900.22
Small Sample
84% match
N/A
#5
Á
Álex Millán
Leganés · Liga Portugal
Spain26yContract 2027
G/900.60
A/900.00
Small Sample
Last 5: ↓ Dip84% match
N/A
#6
D
Dennis Johnsen
Cremonese · Serie A
Norway28yContract 2029
G/900.28
A/900.00
83% match
€3.0M
#7
M
Martijn Berden
GVVV · Eredivisie
Netherlands28y
G/900.00
A/900.34
Small Sample
83% match
N/A
#8
R
Raheem Sterling
Feyenoord · Premier League
England31y
G/900.00
A/900.26
Small Sample
82% match
€5.0M
#9
S
Sebastian Müller
Schweinfurt · Bundesliga
Germany25y
G/900.00
A/900.00
Small Sample
83% match
N/A
#10
P
Pedro Santos
Famalicão · Liga Portugal
Portugal23y
G/900.26
A/900.39
Small Sample
Last 5: ↑ Hot82% match
N/A
#11
M
Muhamet Hyseni
Horsens · Superliga
Kosovo25y
G/900.00
A/900.26
Small Sample
83% match
N/A
#12
M
Michael Breij
Roda JC Kerkrade · Eredivisie
Netherlands29y
G/900.58
A/900.17
82% match
N/A
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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 Seong-hoon Cheon.
Ask AI about Seong-hoon Cheon →Frequently Asked Questions
Who are the best alternatives to Seong-hoon Cheon?▼
The top alternatives to Seong-hoon Cheon based on AI DNA playing style analysis include: Khayon Edwards, Vaclav Jurecka, Nikola Gjorgjev, Enzo Stroo, Álex Millán. 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 Seong-hoon Cheon in 2026?▼
Players with a similar profile to Seong-hoon Cheon in 2026 include Khayon Edwards (N/A), Vaclav Jurecka (N/A), Nikola Gjorgjev (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Seong-hoon Cheon play and who plays similarly?▼
Seong-hoon Cheon plays as a Attacker. Players with a comparable positional profile include Khayon Edwards (England, N/A); Vaclav Jurecka (Czech Republic, N/A); Nikola Gjorgjev (Switzerland, N/A); Enzo Stroo (Netherlands, 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.