AI DNA Similarity
Best Alternatives to Kamer Qaka
Players most similar to Kamer Qaka (Midfielder, €200K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Kamer Qaka
- 1.Doni Arifi85% DNA match·SpVgg Greuther Fürth
- 2.Kiano Dyer85% DNA match·FC Volendam
- 3.Salvador Blopa84% DNA match·Sporting CP
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Chances MissedTop 0%
???Bottom 0%
“A Midfielder....”
See Full Verdict + Share Card →Playing Style Analysis
Small Sample
A Midfielder. Note: this profile is based on 723 minutes of playing time this season. The three most similar players to Kamer Qaka by playing style are:
- Doni Arifi(85% match) — Doni Arifi is a Midfielder. Solid midfield option. Statistically, he stands out as meticulous in distribution (93% pass accuracy). (Limited sample: 270 mins)
- Kiano Dyer(85% match) — Kiano Dyer is a Midfielder. Solid midfield option. (Limited sample: 286 mins)
- Salvador Blopa(84% match) — Salvador Blopa is a Midfielder. Solid midfield option. (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
D
Doni Arifi
SpVgg Greuther Fürth · Bundesliga
Finland24y
KP/901.12
G/900.00
Small Sample
Last 5: ↓ Dipvs Qaka: 7y younger
85% match
N/A
#2
K
Kiano Dyer
FC Volendam · Eredivisie
England19y
KP/900.00
G/900.00
Small Sample
vs Qaka: 12y younger
85% match
N/A
#3
S
Salvador Blopa
Sporting CP · Liga Portugal
Portugal18y
KP/900.00
G/900.00
Small Sample
vs Qaka: 13y younger
84% match
N/A
#4
Y
Yanis Khafi
Paris Saint Germain · Ligue 1
France20y
KP/901.18
G/900.00
Small Sample
84% match
N/A
#5
G
Gerry Vlak
Koninklijke HFC · Eredivisie
Netherlands30y
KP/900.00
G/900.00
Small Sample
83% match
N/A
#6
J
Jeremiah Mensah
Bayer 04 Leverkusen · Bundesliga
Germany18y
KP/900.00
G/900.00
Small Sample
83% match
N/A
#7
M
Maurizio Brenna
Katwijk · Eredivisie
Netherlands27y
KP/900.00
G/900.00
Small Sample
83% match
N/A
#8
A
Alamara Djabi
FC Midtjylland · Superliga
Guinea-Bissau19y
KP/900.00
G/900.00
Small Sample
83% match
N/A
#9
J
Joseph Nduquidi
Metz · Ligue 1
France21y
KP/900.15
G/900.00
Balanced MidfielderSmall Sample
Last 5: ↓ Dip83% match
N/A
#10
Z
Zamir Aliji
Hvidovre · Superliga
Denmark22y
KP/901.31
G/900.00
Box-to-BoxSmall Sample
82% match
N/A
#11
R
Rick van der Meer
Katwijk · Eredivisie
Netherlands28y
KP/900.00
G/900.00
Small Sample
81% match
N/A
#12
U
Ulrich Taffertshofer
Atlético Baleares · La Liga
Germany34yContract 2026
KP/900.00
G/900.00
81% 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 Kamer Qaka.
Ask AI about Kamer Qaka →Frequently Asked Questions
Who are the best alternatives to Kamer Qaka?▼
The top alternatives to Kamer Qaka based on AI DNA playing style analysis include: Doni Arifi, Kiano Dyer, Salvador Blopa, Yanis Khafi, Gerry Vlak. 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 Kamer Qaka in 2026?▼
Players with a similar profile to Kamer Qaka in 2026 include Doni Arifi (N/A), Kiano Dyer (N/A), Salvador Blopa (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Kamer Qaka play and who plays similarly?▼
Kamer Qaka plays as a Midfielder. Players with a comparable positional profile include Doni Arifi (Finland, N/A); Kiano Dyer (England, N/A); Salvador Blopa (Portugal, N/A); Yanis Khafi (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.