AI DNA Similarity
Best Alternatives to Yaroslav Karabin
Players most similar to Yaroslav Karabin (Attacker, €600K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Yaroslav Karabin
- 1.Delano Ladan98% DNA match·Koninklijke HFC
- 2.Bryan Limbombe98% DNA match·Heracles Almelo
- 3.Axel Camblan98% DNA match·Clermont
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
AssistsTop 2%
???Bottom 0%
“A Forward....”
See Full Verdict + Share Card →Playing Style Analysis
A Forward. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a regular goalscorer (0.23 goals/90) and a prolific assist provider (0.27 assists/90). The three most similar players to Yaroslav Karabin by playing style are:
- 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).
- 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).
- Axel Camblan(98% match) — A Forward. Statistically, he stands out as a capable chance creator (1.4 key passes/90) and a reliable supplier (0.16 assists/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
D
Delano Ladan
Koninklijke HFC · Eredivisie
Netherlands26y
G/900.20
A/900.00
vs Karabin: 3y older
98% match
N/A
#2
B
Bryan Limbombe
Heracles Almelo · Eredivisie
Belgium24y
G/900.07
A/900.21
98% match
N/A
#3
A
Axel Camblan
Clermont · Ligue 1
France22y
G/900.00
A/900.13
98% match
N/A
#4
K
Kyliane Dong
FC Augsburg · Bundesliga
France21y
G/900.00
A/900.00
Inside Forward
97% match
N/A
#5
N
Noah Jose Saviolo
Vitória Guimarães · Liga Portugal
Belgium22y
G/900.10
A/900.20
97% match
N/A
#6
G
Gustav Ølsted Marcussen
Fredericia · Superliga
Denmark27y
G/900.26
A/900.09
97% match
N/A
#7
A
Andreas Smed
Hvidovre · Superliga
Denmark29y
G/900.08
A/900.23
Complete Forward
Last 5: ↓ Dip97% match
N/A
#8
M
Mert Erkan
TOP Oss · Eredivisie
Netherlands21y
G/900.53
A/900.27
Complete Forward
Last 5: ↓ Dip97% match
N/A
#9
S
Stefano Lilipaly
SC Cambuur · Eredivisie
Indonesia36y
G/900.22
A/900.22
97% match
N/A
#10
M
Marco Matias
Farense · Liga Portugal
Portugal37y
G/900.21
A/900.21
96% match
N/A
#11
J
Jorg Schreuders
FC Groningen · Eredivisie
Netherlands21y
G/900.03
A/900.07
97% match
N/A
#12
E
Edoly Lukoki
FC Eindhoven · Eredivisie
France21y
G/900.00
A/900.20
97% 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 Yaroslav Karabin.
Ask AI about Yaroslav Karabin →Frequently Asked Questions
Who are the best alternatives to Yaroslav Karabin?▼
The top alternatives to Yaroslav Karabin based on AI DNA playing style analysis include: Delano Ladan, Bryan Limbombe, Axel Camblan, Kyliane Dong, Noah Jose Saviolo. 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 Yaroslav Karabin in 2026?▼
Players with a similar profile to Yaroslav Karabin in 2026 include Delano Ladan (N/A), Bryan Limbombe (N/A), Axel Camblan (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Yaroslav Karabin play and who plays similarly?▼
Yaroslav Karabin plays as a Attacker. Players with a comparable positional profile include Delano Ladan (Netherlands, N/A); Bryan Limbombe (Belgium, N/A); Axel Camblan (France, N/A); Kyliane Dong (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.