AI DNA Similarity
Best Alternatives to Furkan Bekleviç
Players most similar to Furkan Bekleviç (Goalkeeper, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Furkan Bekleviç
- 1.Juan Castillo100% DNA match·Vitória Guimarães
- 2.Christian Ortag100% DNA match·Ulm
- 3.J. Dakir100% DNA match·Hobro
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Goals ConcededTop 23%
???Bottom 0%
“A Traditional Keeper....”
See Full Verdict + Share Card →Playing Style Analysis
Traditional Keeper
A Traditional Keeper. Statistically, he stands out as dominant in aerial duels (100% success). The three most similar players to Furkan Bekleviç by playing style are:
- Juan Castillo(100% match) — A Traditional Keeper. Statistically, he stands out as dominant in aerial duels (100% success).
- Christian Ortag(100% match) — A Traditional Keeper. Statistically, he stands out as dominant in aerial duels (100% success).
- J. Dakir(100% match) — A Traditional Keeper. Statistically, he stands out as dominant in aerial duels (96% success).
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
Juan Castillo
Vitória Guimarães · Liga Portugal
Colombia23yContract 2029
Tkl/900.07
Traditional Keeper
vs Bekleviç: 4y younger
100% match
N/A
#2
C
Christian Ortag
Ulm · Bundesliga
Germany31yContract 2028
Tkl/900.00
Traditional Keeper
vs Bekleviç: 4y older
100% match
N/A
#3
J
J. Dakir
Hobro · Superliga
Denmark29y
Tkl/900.00
Traditional Keeper
vs Bekleviç: 2y older
100% match
N/A
#4
E
Ertuğrul Taşkıran
Alanyaspor · Super Lig
Turkey36yContract 2026
Tkl/900.15
Traditional Keeper
100% match
N/A
#5
B
Bahadır Güngördü
Konyaspor · Super Lig
Turkey30yContract 2027
Tkl/900.00
Traditional Keeper
100% match
N/A
#6
A
Aitor Fraga
Real Sociedad · La Liga
Spain23y
Tkl/900.00
Traditional Keeper
100% match
N/A
#7
A
Anders Ravn
Hvidovre · Superliga
Denmark21y
Tkl/900.21
Traditional Keeper
100% match
N/A
#8
C
Cihan Topaloğlu
Ümraniyespor · Super Lig
Turkey34yContract 2025
Tkl/900.11
Traditional Keeper
98% match
N/A
#9
A
André Nogueira Gomes
Alverca · Liga Portugal
Portugal21y
Tkl/900.00
Traditional Keeper
98% match
N/A
#10
L
Luca Gunter
Tottenham Hotspur · Premier League
England21y
Tkl/900.00
Traditional Keeper
98% match
N/A
#11
S
Simão Verza Bertelli
AVS · Liga Portugal
Brazil32yContract 2026
Tkl/900.00
Traditional Keeper
98% match
N/A
#12
J
Julian Krahl
Kaiserslautern · Bundesliga
Germany26y
Tkl/900.00
Commanding Keeper
97% 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 Furkan Bekleviç.
Ask AI about Furkan Bekleviç →Frequently Asked Questions
Who are the best alternatives to Furkan Bekleviç?▼
The top alternatives to Furkan Bekleviç based on AI DNA playing style analysis include: Juan Castillo, Christian Ortag, J. Dakir, Ertuğrul Taşkıran, Bahadır Güngördü. 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 Furkan Bekleviç in 2026?▼
Players with a similar profile to Furkan Bekleviç in 2026 include Juan Castillo (N/A), Christian Ortag (N/A), J. Dakir (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Furkan Bekleviç play and who plays similarly?▼
Furkan Bekleviç plays as a Goalkeeper. Players with a comparable positional profile include Juan Castillo (Colombia, N/A); Christian Ortag (Germany, N/A); J. Dakir (Denmark, N/A); Ertuğrul Taşkıran (Turkey, 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.