AI DNA Similarity
Best Alternatives to Erce Kardeşler
Players most similar to Erce Kardeşler (Goalkeeper, €500K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Erce Kardeşler
- 1.Furkan Bekleviç100% DNA match·Fatih Karagümrük
- 2.Christian Ortag100% DNA match·Ulm
- 3.Ertuğrul Taşkıran100% DNA match·Alanyaspor
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
???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 Erce Kardeşler by playing style are:
- Furkan Bekleviç(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).
- Ertuğrul Taşkıran(100% match) — A Traditional Keeper. Statistically, he stands out as dominant in aerial duels (92% 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
F
Furkan Bekleviç
Fatih Karagümrük · Super Lig
Turkey27y
Tkl/900.00
Traditional Keeper
vs Kardeşler: 5y younger
100% match
N/A
#2
C
Christian Ortag
Ulm · Bundesliga
Germany31yContract 2028
Tkl/900.00
Traditional Keeper
100% match
N/A
#3
E
Ertuğrul Taşkıran
Alanyaspor · Super Lig
Turkey36yContract 2026
Tkl/900.15
Traditional Keeper
vs Kardeşler: 4y older
100% match
N/A
#4
J
Juan Castillo
Vitória Guimarães · Liga Portugal
Colombia23yContract 2029
Tkl/900.07
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
J
J. Dakir
Hobro · Superliga
Denmark29y
Tkl/900.00
Traditional Keeper
100% match
N/A
#7
A
Aitor Fraga
Real Sociedad · La Liga
Spain23y
Tkl/900.00
Traditional Keeper
100% match
N/A
#8
A
Anders Ravn
Hvidovre · Superliga
Denmark21y
Tkl/900.21
Traditional Keeper
100% match
N/A
#9
C
Cihan Topaloğlu
Ümraniyespor · Super Lig
Turkey34yContract 2025
Tkl/900.11
Traditional Keeper
98% match
N/A
#10
A
André Nogueira Gomes
Alverca · Liga Portugal
Portugal21y
Tkl/900.00
Traditional Keeper
98% match
N/A
#11
L
Luca Gunter
Tottenham Hotspur · Premier League
England21y
Tkl/900.00
Traditional Keeper
98% match
N/A
#12
G
Gabriel Batista
Santa Clara · Liga Portugal
Brazil27yContract 2028
Tkl/900.00
Traditional 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 Erce Kardeşler.
Ask AI about Erce Kardeşler →Frequently Asked Questions
Who are the best alternatives to Erce Kardeşler?▼
The top alternatives to Erce Kardeşler based on AI DNA playing style analysis include: Furkan Bekleviç, Christian Ortag, Ertuğrul Taşkıran, Juan Castillo, 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 Erce Kardeşler in 2026?▼
Players with a similar profile to Erce Kardeşler in 2026 include Furkan Bekleviç (N/A), Christian Ortag (N/A), Ertuğrul Taşkıran (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Erce Kardeşler play and who plays similarly?▼
Erce Kardeşler plays as a Goalkeeper. Players with a comparable positional profile include Furkan Bekleviç (Turkey, N/A); Christian Ortag (Germany, N/A); Ertuğrul Taşkıran (Turkey, N/A); Juan Castillo (Colombia, 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.