AI DNA Similarity
Best Alternatives to Fatih Kamaci
Players most similar to Fatih Kamaci (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Fatih Kamaci
- 1.Nick Runderkamp97% DNA match·RKAV Volendam
- 2.Jeppe Andersen96% DNA match·Silkeborg IF
- 3.Darko Lazović96% DNA match·Al Wahda
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
GoalsTop 7%
???Bottom 0%
“A Midfielder....”
See Full Verdict + Share Card →Playing Style Analysis
A Midfielder. Statistically, he stands out as a proven goalscorer (0.43 goals/90) and a reliable supplier (0.17 assists/90). The three most similar players to Fatih Kamaci by playing style are:
- Nick Runderkamp(97% match) — A Midfielder. Statistically, he stands out as a reliable supplier (0.22 assists/90).
- Jeppe Andersen(96% match) — A Midfielder. Statistically, he stands out as a regular goalscorer (0.31 goals/90), meticulous in distribution (85% pass accuracy) and heavily involved in play (58 touches/90).
- Darko Lazović(96% match) — A Midfielder. Statistically, he stands out as a capable chance creator (1.2 key passes/90) and a reliable supplier (0.18 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
N
Nick Runderkamp
RKAV Volendam · Eredivisie
Netherlands29y
KP/900.00
G/900.15
vs Kamaci: 7y younger
97% match
N/A
#2
J
Jeppe Andersen
Silkeborg IF · Superliga
Denmark33yContract 2026
KP/900.62
G/900.31
vs Kamaci: 3y younger
96% match
N/A
#3
D
Darko Lazović
Al Wahda · Serie A
Serbia35y
KP/901.07
G/900.12
96% match
N/A
#4
T
Tiago Freitas
Benfica · Liga Portugal
Portugal19y
KP/900.00
G/900.38
Small Sample
95% match
N/A
#5
C
Callum Olusesi
Tottenham Hotspur · Premier League
England19y
KP/900.00
G/900.36
Small Sample
95% match
N/A
#6
R
Rodrigo Alonso Martín
Moreirense · Liga Portugal
Spain23yContract 2028
KP/900.61
G/900.20
Balanced Midfielder
Last 5: → Stable95% match
N/A
#7
V
Valdemar Møller Damgaard
Aalborg BK · Superliga
Denmark18y
KP/901.38
G/900.15
Creator
Last 5: → Stable95% match
N/A
#8
J
Jakob Vester
Viborg FF · Superliga
Denmark21yContract 2027
KP/900.81
G/900.54
Small Sample
Last 5: ↑ Hot95% match
N/A
#9
A
Abdoulie Njai
Kolding IF · Superliga
Denmark28y
KP/900.49
G/900.21
Balanced Midfielder
94% match
N/A
#10
K
K. Ingason
Sønderjyske Fodbold · Superliga
Iceland24yContract 2027
KP/901.25
G/900.57
Creator
Last 5: → Stable94% match
N/A
#11
A
Ablie Jallow
Servette · Ligue 1
Gambia27yContract 2028
KP/902.34
G/900.00
Balanced Midfielder
Last 5: ↓ Dip94% match
N/A
#12
N
Noah Naujoks
Excelsior · Eredivisie
Netherlands24yContract 2027
KP/901.04
G/900.36
Balanced Midfielder
Last 5: → Stable94% 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 Fatih Kamaci.
Ask AI about Fatih Kamaci →Frequently Asked Questions
Who are the best alternatives to Fatih Kamaci?▼
The top alternatives to Fatih Kamaci based on AI DNA playing style analysis include: Nick Runderkamp, Jeppe Andersen, Darko Lazović, Tiago Freitas, Callum Olusesi. 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 Fatih Kamaci in 2026?▼
Players with a similar profile to Fatih Kamaci in 2026 include Nick Runderkamp (N/A), Jeppe Andersen (N/A), Darko Lazović (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Fatih Kamaci play and who plays similarly?▼
Fatih Kamaci plays as a Midfielder. Players with a comparable positional profile include Nick Runderkamp (Netherlands, N/A); Jeppe Andersen (Denmark, N/A); Darko Lazović (Serbia, N/A); Tiago Freitas (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.