AI DNA Similarity
Best Alternatives to Gafurzhan Suyumbaev
Players most similar to Gafurzhan Suyumbaev (Defender, €450K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Gafurzhan Suyumbaev
- 1.Justin Janitzek84% DNA match·Wehen Wiesbaden
- 2.Manel Royo83% DNA match·Teruel
- 3.Jonas Kehl82% DNA match·Sportfreunde Lotte
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
???Bottom 0%
“Gafurzhan Suyumbayev is a Defender....”
See Full Verdict + Share Card →Playing Style Analysis
Small Sample
Gafurzhan Suyumbayev is a Defender. Solid defensive option. (Limited sample: 270 mins) The three most similar players to Gafurzhan Suyumbaev by playing style are:
- Justin Janitzek(84% match) — Justin Janitzek is a Defender. Solid defensive option. (Limited sample: 360 mins)
- Manel Royo(83% match) — Manel Royo Castell is a Defender. Solid defensive option. (Limited sample: 320 mins)
- Jonas Kehl(82% match) — Jonas Kehl is a Defender. Solid defensive option. (Limited sample: 407 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
J
Justin Janitzek
Wehen Wiesbaden · Bundesliga
Germany22y
Tkl/900.25
KP/900.00
Small Sample
vs Suyumbaev: 13y younger
84% match
N/A
#2
M
Manel Royo
Teruel · Eredivisie
Spain32y
Tkl/900.00
KP/900.00
Small Sample
vs Suyumbaev: 3y younger
83% match
N/A
#3
J
Jonas Kehl
Sportfreunde Lotte · Bundesliga
Germany25y
Tkl/900.00
KP/900.00
Small Sample
vs Suyumbaev: 10y younger
82% match
N/A
#4
R
Roko Jureskin
Spartak Trnava · Serie A
Croatia25y
Tkl/901.57
KP/900.94
Small Sample
82% match
N/A
#5
A
Abdulsamet Burak
Kayserispor · Super Lig
Netherlands29y
Tkl/901.43
KP/900.48
Ball-Playing CB
81% match
N/A
#6
O
Orest Lebedenko
Vitória Guimarães · Liga Portugal
Ukraine27yContract 2028
Tkl/902.27
KP/900.82
81% match
N/A
#7
E
Elfar Freyr Helgason
Valur · Superliga
Iceland36y
Tkl/900.00
KP/900.00
Small Sample
81% match
N/A
#8
A
Arne Rühlemann
Lokomotive Leipzig · Bundesliga
Germany21y
Tkl/900.00
KP/900.00
Small Sample
81% match
N/A
#9
A
Alex Pinto
Farense · Liga Portugal
Portugal27y
Tkl/901.33
KP/900.27
81% match
N/A
#10
A
Alejandro Pérez
Atlético Baleares · La Liga
Spain25yContract 2026
Tkl/900.67
KP/900.00
80% match
N/A
#11
F
Fabian Holland
Darmstadt 98 · Bundesliga
Germany35yContract 2025
Tkl/903.98
KP/900.36
Active Full-Back
Last 5: ↓ Dip79% match
N/A
#12
D
Diego Moreno
Ponferradina · La Liga
Spain24y
Tkl/900.33
KP/900.49
Small Sample
79% 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 Gafurzhan Suyumbaev.
Ask AI about Gafurzhan Suyumbaev →Frequently Asked Questions
Who are the best alternatives to Gafurzhan Suyumbaev?▼
The top alternatives to Gafurzhan Suyumbaev based on AI DNA playing style analysis include: Justin Janitzek, Manel Royo, Jonas Kehl, Roko Jureskin, Abdulsamet Burak. 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 Gafurzhan Suyumbaev in 2026?▼
Players with a similar profile to Gafurzhan Suyumbaev in 2026 include Justin Janitzek (N/A), Manel Royo (N/A), Jonas Kehl (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Gafurzhan Suyumbaev play and who plays similarly?▼
Gafurzhan Suyumbaev plays as a Defender. Players with a comparable positional profile include Justin Janitzek (Germany, N/A); Manel Royo (Spain, N/A); Jonas Kehl (Germany, N/A); Roko Jureskin (Croatia, 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.