AI DNA Similarity
Best Alternatives to Giorgi Kvilitaia
Players most similar to Giorgi Kvilitaia (Attacker, €1.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Giorgi Kvilitaia
- 1.Nikola Gjorgjev86% DNA match·Farense
- 2.Enzo Stroo85% DNA match·Lisse
- 3.Dani van der Moot84% DNA match·Katwijk
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Dribbled PastTop 0%
???Bottom 0%
“A Forward....”
See Full Verdict + Share Card →Playing Style Analysis
Small Sample
A Forward. Statistically, he stands out as a reliable supplier (0.21 assists/90). Note: this profile is based on 848 minutes of playing time this season. The three most similar players to Giorgi Kvilitaia by playing style are:
- Nikola Gjorgjev(86% match) — Nikola Gjorgjev is a Forward. Versatile attacking option. (Limited sample: 337 mins)
- 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)
- Dani van der Moot(84% 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
N
Nikola Gjorgjev
Farense · Liga Portugal
Switzerland28y
G/900.00
A/900.00
Small Sample
vs Kvilitaia: 4y younger
86% match
N/A
#2
E
Enzo Stroo
Lisse · Eredivisie
Netherlands31y
G/900.00
A/900.22
Small Sample
85% match
N/A
#3
D
Dani van der Moot
Katwijk · Eredivisie
Netherlands29y
G/900.22
A/900.22
Small Sample
vs Kvilitaia: 3y younger · -0.30 G/90
84% match
N/A
#4
M
Martijn Berden
GVVV · Eredivisie
Netherlands28y
G/900.00
A/900.34
Small Sample
83% match
N/A
#5
M
Michiel Kramer
RKC Waalwijk · Eredivisie
Netherlands37y
G/900.39
A/900.00
Small Sample
84% match
N/A
#6
A
Andreas Voglsammer
Hansa Rostock · Bundesliga
Germany34yContract 2027
G/900.18
A/900.18
83% match
N/A
#7
R
Roger Martí
Cádiz · La Liga
Spain35y
G/900.21
A/900.00
Small Sample
Last 5: ↓ Dip83% match
€3.0M
#8
M
Martín Merquelanz
FC Andorra · La Liga
Spain30y
G/900.00
A/900.17
Small Sample
83% match
N/A
#9
M
Michael Breij
Roda JC Kerkrade · Eredivisie
Netherlands29y
G/900.58
A/900.17
82% match
N/A
#10
D
Danylo Sikan
Anderlecht · Super Lig
Ukraine25yContract 2029
G/900.38
A/900.00
Target ManSmall Sample
Last 5: ↓ Dip82% match
€6.0M
#11
G
Giovanni Korte
Katwijk · Eredivisie
Netherlands32y
G/900.19
A/900.00
Complete Forward
82% match
N/A
#12
O
Oliver Ross
Silkeborg IF · Superliga
Denmark21yContract 2029
G/900.34
A/900.23
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 Giorgi Kvilitaia.
Ask AI about Giorgi Kvilitaia →Frequently Asked Questions
Who are the best alternatives to Giorgi Kvilitaia?▼
The top alternatives to Giorgi Kvilitaia based on AI DNA playing style analysis include: Nikola Gjorgjev, Enzo Stroo, Dani van der Moot, Martijn Berden, Michiel Kramer. 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 Giorgi Kvilitaia in 2026?▼
Players with a similar profile to Giorgi Kvilitaia in 2026 include Nikola Gjorgjev (N/A), Enzo Stroo (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 Giorgi Kvilitaia play and who plays similarly?▼
Giorgi Kvilitaia plays as a Attacker. Players with a comparable positional profile include Nikola Gjorgjev (Switzerland, N/A); Enzo Stroo (Netherlands, N/A); Dani van der Moot (Netherlands, N/A); Martijn Berden (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.