AI DNA Similarity
Best Alternatives to Do-young Yoon
Players most similar to Do-young Yoon (Attacker, €2.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Do-young Yoon
- 1.Enzo Stroo85% DNA match·Lisse
- 2.Martijn Berden83% DNA match·GVVV
- 3.Dani van der Moot83% DNA match·Katwijk
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
InterceptionsTop 11%
???Bottom 0%
“Do-Young Yun is a Forward....”
See Full Verdict + Share Card →Playing Style Analysis
Small Sample
Do-Young Yun is a Forward. Versatile attacking option. Statistically, he stands out as a reliable supplier (0.15 assists/90) and draws fouls effectively (2.2/90). The three most similar players to Do-young Yoon by playing style are:
- Enzo Stroo(85% match) — Enzo Stroo is a Forward. Versatile attacking option. Statistically, he stands out as a reliable supplier (0.22 assists/90). (Limited sample: 408 mins)
- Martijn Berden(83% match) — Martijn Berden is a Forward. Versatile attacking option. Statistically, he stands out as a capable chance creator (1.2 key passes/90) and a prolific assist provider (0.29 assists/90).
- Dani van der Moot(83% match) — Dani van der Moot is a Forward. Versatile attacking option. Statistically, he stands out as a regular goalscorer (0.22 goals/90) and a reliable supplier (0.22 assists/90). (Limited sample: 414 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
E
Enzo Stroo
Lisse · Eredivisie
Netherlands31y
G/900.00
A/900.22
Small Sample
vs Yoon: 12y older
85% match
N/A
#2
M
Martijn Berden
GVVV · Eredivisie
Netherlands28y
G/900.00
A/900.34
Small Sample
vs Yoon: 9y older
83% match
N/A
#3
D
Dani van der Moot
Katwijk · Eredivisie
Netherlands29y
G/900.22
A/900.22
Small Sample
vs Yoon: 10y older
83% match
N/A
#4
K
Kobamelo Kodisang
Stellenbosch · Liga Portugal
South Africa26y
G/900.06
A/900.17
82% match
N/A
#5
D
Danylo Sikan
Anderlecht · Super Lig
Ukraine25yContract 2029
G/900.38
A/900.00
Target ManSmall Sample
Last 5: ↓ Dip82% match
€6.0M
#6
M
Manuel Torres
St Josephs FC · Bundesliga
Spain35y
G/900.00
A/900.24
Small Sample
83% match
N/A
#7
M
Muhamet Hyseni
Horsens · Superliga
Kosovo25y
G/900.00
A/900.26
Small Sample
83% match
N/A
#8
I
Ivan Lima
Benfica · Liga Portugal
Portugal21y
G/900.21
A/900.21
Small Sample
Last 5: ↓ Dip83% match
N/A
#9
Y
Yunus Akgün
Galatasaray · Super Lig
Turkey25yContract 2029
G/900.34
A/900.44
Complete Forward
Last 5: ↑ Hot82% match
€17.0M
#10
N
Nikola Gjorgjev
Farense · Liga Portugal
Switzerland28y
G/900.00
A/900.00
Small Sample
82% match
N/A
#11
K
Khayon Edwards
Estoril · Liga Portugal
England22y
G/900.00
A/900.00
Small Sample
82% match
N/A
#12
M
Murilo de Souza Costa
Gil Vicente · Liga Portugal
Brazil31y
G/900.40
A/900.14
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 Do-young Yoon.
Ask AI about Do-young Yoon →Frequently Asked Questions
Who are the best alternatives to Do-young Yoon?▼
The top alternatives to Do-young Yoon based on AI DNA playing style analysis include: Enzo Stroo, Martijn Berden, Dani van der Moot, Kobamelo Kodisang, Danylo Sikan. 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 Do-young Yoon in 2026?▼
Players with a similar profile to Do-young Yoon in 2026 include Enzo Stroo (N/A), Martijn Berden (N/A), Dani van der Moot (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Do-young Yoon play and who plays similarly?▼
Do-young Yoon plays as a Attacker. Players with a comparable positional profile include Enzo Stroo (Netherlands, N/A); Martijn Berden (Netherlands, N/A); Dani van der Moot (Netherlands, N/A); Kobamelo Kodisang (South Africa, 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.