AI DNA Similarity
Best Alternatives to Kayke
Players most similar to Kayke (Attacker, €130K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Kayke
- 1.Bryan Limbombe98% DNA match·Heracles Almelo
- 2.Stefano Lilipaly98% DNA match·SC Cambuur
- 3.Delano Ladan98% DNA match·Koninklijke HFC
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
???Bottom 0%
“A Forward....”
See Full Verdict + Share Card →Playing Style Analysis
A Forward. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a regular goalscorer (0.22 goals/90) and a reliable supplier (0.22 assists/90). The three most similar players to Kayke by playing style are:
- Bryan Limbombe(98% match) — A Forward. Statistically, he stands out as a capable chance creator (1.3 key passes/90) and a reliable supplier (0.21 assists/90).
- Stefano Lilipaly(98% match) — A Forward. Statistically, he stands out as a regular goalscorer (0.22 goals/90) and a reliable supplier (0.22 assists/90).
- Delano Ladan(98% match) — A Forward. Statistically, he stands out as a capable chance creator (1.2 key passes/90) and a regular goalscorer (0.20 goals/90).
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
B
Bryan Limbombe
Heracles Almelo · Eredivisie
Belgium24y
G/900.07
A/900.21
vs Kayke: 14y younger
98% match
N/A
#2
S
Stefano Lilipaly
SC Cambuur · Eredivisie
Indonesia36y
G/900.22
A/900.22
vs Kayke: 2y younger
98% match
N/A
#3
D
Delano Ladan
Koninklijke HFC · Eredivisie
Netherlands26y
G/900.20
A/900.00
vs Kayke: 12y younger
98% match
N/A
#4
E
Edoly Lukoki
FC Eindhoven · Eredivisie
France21y
G/900.00
A/900.20
97% match
N/A
#5
G
Gustav Ølsted Marcussen
Fredericia · Superliga
Denmark27y
G/900.26
A/900.09
97% match
N/A
#6
A
Axel Camblan
Clermont · Ligue 1
France22y
G/900.00
A/900.13
97% match
N/A
#7
I
Iman Griffith
Roda JC Kerkrade · Eredivisie
Netherlands24y
G/900.22
A/900.22
97% match
N/A
#8
F
Francisco Miguel Ribeiro Tomé Tavares Bondoso
Moreirense · Liga Portugal
Portugal30yContract 2027
G/900.05
A/900.19
97% match
N/A
#9
M
Marco Matias
Farense · Liga Portugal
Portugal37y
G/900.21
A/900.21
97% match
N/A
#10
C
Christian Gammelgaard
Vejle Boldklub · Superliga
Denmark23y
G/900.35
A/900.00
Complete Forward
Last 5: ↓ Dip97% match
N/A
#11
A
Alessio Besio
Verl · Bundesliga
Switzerland22y
G/900.09
A/900.17
96% match
N/A
#12
P
Patrick Brouwer
Telstar · Eredivisie
Netherlands25yContract 2028
G/900.28
A/900.24
Complete Forward
Last 5: ↓ Dip96% 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 Kayke.
Ask AI about Kayke →Frequently Asked Questions
Who are the best alternatives to Kayke?▼
The top alternatives to Kayke based on AI DNA playing style analysis include: Bryan Limbombe, Stefano Lilipaly, Delano Ladan, Edoly Lukoki, Gustav Ølsted Marcussen. 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 Kayke in 2026?▼
Players with a similar profile to Kayke in 2026 include Bryan Limbombe (N/A), Stefano Lilipaly (N/A), Delano Ladan (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Kayke play and who plays similarly?▼
Kayke plays as a Attacker. Players with a comparable positional profile include Bryan Limbombe (Belgium, N/A); Stefano Lilipaly (Indonesia, N/A); Delano Ladan (Netherlands, N/A); Edoly Lukoki (France, 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.