AI DNA Similarity
Best Alternatives to Zhirayr Shaghoyan
Players most similar to Zhirayr Shaghoyan (Attacker, €300K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Zhirayr Shaghoyan
- 1.Nikola Gjorgjev84% DNA match·Farense
- 2.Martijn Berden83% DNA match·GVVV
- 3.Enzo Stroo83% DNA match·Lisse
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
Small Sample
A Forward. Note: this profile is based on 630 minutes of playing time this season. The three most similar players to Zhirayr Shaghoyan by playing style are:
- Nikola Gjorgjev(84% match) — Nikola Gjorgjev is a Forward. Versatile attacking option. (Limited sample: 337 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).
- Enzo Stroo(83% 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)
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
N
Nikola Gjorgjev
Farense · Liga Portugal
Switzerland28y
G/900.00
A/900.00
Small Sample
vs Shaghoyan: 3y older
84% match
N/A
#2
M
Martijn Berden
GVVV · Eredivisie
Netherlands28y
G/900.00
A/900.34
Small Sample
vs Shaghoyan: 3y older
83% match
N/A
#3
E
Enzo Stroo
Lisse · Eredivisie
Netherlands31y
G/900.00
A/900.22
Small Sample
vs Shaghoyan: 6y older
83% match
N/A
#4
D
Dani van der Moot
Katwijk · Eredivisie
Netherlands29y
G/900.22
A/900.22
Small Sample
83% match
N/A
#5
M
Murilo de Souza Costa
Gil Vicente · Liga Portugal
Brazil31y
G/900.40
A/900.14
82% match
N/A
#6
D
Dennis Johnsen
Cremonese · Serie A
Norway28yContract 2029
G/900.28
A/900.00
82% match
€3.0M
#7
D
Danylo Sikan
Anderlecht · Super Lig
Ukraine25yContract 2029
G/900.38
A/900.00
Target ManSmall Sample
Last 5: ↓ Dip82% match
€6.0M
#8
M
Manuel Torres
St Josephs FC · Bundesliga
Spain35y
G/900.00
A/900.24
Small Sample
82% match
N/A
#9
K
Khayon Edwards
Estoril · Liga Portugal
England22y
G/900.00
A/900.00
Small Sample
82% match
N/A
#10
B
Bruno Lourenço
AVS · Liga Portugal
Portugal28y
G/900.00
A/900.00
81% match
N/A
#11
M
Michiel Kramer
RKC Waalwijk · Eredivisie
Netherlands37y
G/900.39
A/900.00
Small Sample
82% match
N/A
#12
M
Muhamet Hyseni
Horsens · Superliga
Kosovo25y
G/900.00
A/900.26
Small Sample
82% 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 Zhirayr Shaghoyan.
Ask AI about Zhirayr Shaghoyan →Frequently Asked Questions
Who are the best alternatives to Zhirayr Shaghoyan?▼
The top alternatives to Zhirayr Shaghoyan based on AI DNA playing style analysis include: Nikola Gjorgjev, Martijn Berden, Enzo Stroo, Dani van der Moot, Murilo de Souza Costa. 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 Zhirayr Shaghoyan in 2026?▼
Players with a similar profile to Zhirayr Shaghoyan in 2026 include Nikola Gjorgjev (N/A), Martijn Berden (N/A), Enzo Stroo (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Zhirayr Shaghoyan play and who plays similarly?▼
Zhirayr Shaghoyan plays as a Attacker. Players with a comparable positional profile include Nikola Gjorgjev (Switzerland, N/A); Martijn Berden (Netherlands, N/A); Enzo Stroo (Netherlands, N/A); Dani van der Moot (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.