AI DNA Similarity
Best Alternatives to Burak Kapacak
Players most similar to Burak Kapacak (Defender, €1.4M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Burak Kapacak
- 1.Abdulsamet Burak86% DNA match·Kayserispor
- 2.Justin Janitzek84% DNA match·Wehen Wiesbaden
- 3.Jonas Kehl84% DNA match·Sportfreunde Lotte
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Chances MissedTop 0%
???Bottom 0%
“Burak Kapacak is a Active Full-Back....”
See Full Verdict + Share Card →Playing Style Analysis
Active Full-Back
Burak Kapacak is a Active Full-Back. Wide defender contributing to attacks. Statistically, he stands out as a reliable supplier (0.17 assists/90). The three most similar players to Burak Kapacak by playing style are:
- Abdulsamet Burak(86% match) — A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.3 tackles/90), wins the physical battle (55% duel success) and uses long balls frequently (6.3/90).
- Justin Janitzek(84% match) — Justin Janitzek is a Defender. Solid defensive option. (Limited sample: 360 mins)
- Jonas Kehl(84% match) — Jonas Kehl is a Defender. Solid defensive option. (Limited sample: 407 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
A
Abdulsamet Burak
Kayserispor · Super Lig
Netherlands29y
Tkl/901.43
KP/900.48
Ball-Playing CB
vs Kapacak: 3y older
86% match
N/A
#2
J
Justin Janitzek
Wehen Wiesbaden · Bundesliga
Germany22y
Tkl/900.25
KP/900.00
Small Sample
vs Kapacak: 4y younger
84% match
N/A
#3
J
Jonas Kehl
Sportfreunde Lotte · Bundesliga
Germany25y
Tkl/900.00
KP/900.00
Small Sample
84% match
N/A
#4
R
Roko Jureskin
Spartak Trnava · Serie A
Croatia25y
Tkl/901.57
KP/900.94
Small Sample
83% match
N/A
#5
M
Manel Royo
Teruel · Eredivisie
Spain32y
Tkl/900.00
KP/900.00
Small Sample
82% match
N/A
#6
A
Alex Pinto
Farense · Liga Portugal
Portugal27y
Tkl/901.33
KP/900.27
81% match
N/A
#7
A
Arne Rühlemann
Lokomotive Leipzig · Bundesliga
Germany21y
Tkl/900.00
KP/900.00
Small Sample
81% match
N/A
#8
P
Pedro Pacheco
Santa Clara · Liga Portugal
Portugal29yContract 2028
Tkl/900.00
KP/900.00
Small Sample
81% match
N/A
#9
T
Tuomas Ollila
Paris · Ligue 1
Finland26y
Tkl/900.87
KP/900.29
81% match
N/A
#10
A
Alejandro Pérez
Atlético Baleares · La Liga
Spain25yContract 2026
Tkl/900.67
KP/900.00
81% match
N/A
#11
S
Simon Asta
Kaiserslautern · Bundesliga
Germany25y
Tkl/901.89
KP/900.00
Small Sample
Last 5: → Stable80% match
N/A
#12
N
Nikita Andreev
Middelfart · Superliga
Denmark36y
Tkl/901.17
KP/900.20
80% 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 Burak Kapacak.
Ask AI about Burak Kapacak →Frequently Asked Questions
Who are the best alternatives to Burak Kapacak?▼
The top alternatives to Burak Kapacak based on AI DNA playing style analysis include: Abdulsamet Burak, Justin Janitzek, Jonas Kehl, Roko Jureskin, Manel Royo. 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 Burak Kapacak in 2026?▼
Players with a similar profile to Burak Kapacak in 2026 include Abdulsamet Burak (N/A), Justin Janitzek (N/A), Jonas Kehl (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Burak Kapacak play and who plays similarly?▼
Burak Kapacak plays as a Defender. Players with a comparable positional profile include Abdulsamet Burak (Netherlands, N/A); Justin Janitzek (Germany, N/A); Jonas Kehl (Germany, N/A); Roko Jureskin (Croatia, 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.