AI DNA Similarity
Best Alternatives to Efe Akman
Players most similar to Efe Akman (Midfielder, €500K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Efe Akman
- 1.Efecan Karaca85% DNA match·Alanyaspor
- 2.Jeremiah Mensah85% DNA match·Bayer 04 Leverkusen
- 3.Doni Arifi84% DNA match·SpVgg Greuther Fürth
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Chances MissedTop 0%
???Bottom 0%
“Efe Akman is a Midfielder....”
See Full Verdict + Share Card →Playing Style Analysis
Small Sample
Efe Akman is a Midfielder. Solid midfield option. (Limited sample: 276 mins) The three most similar players to Efe Akman by playing style are:
- Efecan Karaca(85% match) — A Creator.
- Jeremiah Mensah(85% match) — Jeremiah Dennit Mensah is a Midfielder. Solid midfield option. (Limited sample: 327 mins)
- Doni Arifi(84% match) — Doni Arifi is a Midfielder. Solid midfield option. Statistically, he stands out as meticulous in distribution (93% pass accuracy). (Limited sample: 270 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
E
Efecan Karaca
Alanyaspor · Super Lig
Turkey36yContract 2026
KP/901.27
G/900.00
Creator
Last 5: → Stablevs Akman: 16y older
85% match
N/A
#2
J
Jeremiah Mensah
Bayer 04 Leverkusen · Bundesliga
Germany18y
KP/900.00
G/900.00
Small Sample
vs Akman: 2y younger
85% match
N/A
#3
D
Doni Arifi
SpVgg Greuther Fürth · Bundesliga
Finland24y
KP/901.12
G/900.00
Small Sample
Last 5: ↓ Dipvs Akman: 4y older
84% match
N/A
#4
S
Salvador Blopa
Sporting CP · Liga Portugal
Portugal18y
KP/900.00
G/900.00
Small Sample
84% match
N/A
#5
M
Maurizio Brenna
Katwijk · Eredivisie
Netherlands27y
KP/900.00
G/900.00
Small Sample
84% match
N/A
#6
G
Gerry Vlak
Koninklijke HFC · Eredivisie
Netherlands30y
KP/900.00
G/900.00
Small Sample
84% match
N/A
#7
Y
Yusuf Yazıcı
Olympiacos F.C. · Ligue 1
Turkey29yContract 2027
KP/903.38
G/900.52
Creator
Last 5: → Stable82% match
€18.5M
#8
K
Kiano Dyer
FC Volendam · Eredivisie
England19y
KP/900.00
G/900.00
Small Sample
83% match
N/A
#9
Y
Yanis Khafi
Paris Saint Germain · Ligue 1
France20y
KP/901.18
G/900.00
Small Sample
83% match
N/A
#10
R
Rick van der Meer
Katwijk · Eredivisie
Netherlands28y
KP/900.00
G/900.00
Small Sample
83% match
N/A
#11
K
Kenan Karaman
Schalke 04 · Bundesliga
Turkey32yContract 2028
KP/900.92
G/900.18
Ball-Winner
Last 5: → Stable81% match
N/A
#12
E
Emmanuele De Chiara
Napoli · Serie A
Italy20y
KP/900.00
G/900.00
Small Sample
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 Efe Akman.
Ask AI about Efe Akman →Frequently Asked Questions
Who are the best alternatives to Efe Akman?▼
The top alternatives to Efe Akman based on AI DNA playing style analysis include: Efecan Karaca, Jeremiah Mensah, Doni Arifi, Salvador Blopa, Maurizio Brenna. 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 Efe Akman in 2026?▼
Players with a similar profile to Efe Akman in 2026 include Efecan Karaca (N/A), Jeremiah Mensah (N/A), Doni Arifi (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Efe Akman play and who plays similarly?▼
Efe Akman plays as a Midfielder. Players with a comparable positional profile include Efecan Karaca (Turkey, N/A); Jeremiah Mensah (Germany, N/A); Doni Arifi (Finland, N/A); Salvador Blopa (Portugal, 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.