AI DNA Similarity
Best Alternatives to Kaan Caliskaner
Players most similar to Kaan Caliskaner (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
Kaan Caliskaner is a Ball-Winner. Aggressive midfielder who disrupts opponents. The three most similar players to Kaan Caliskaner by playing style are:
- Djibril Sow(83% match) — A Balanced Midfielder. Statistically, he stands out as a regular goalscorer (0.26 goals/90), meticulous in distribution (89% pass accuracy) and active off the ball (2.0 press score/90), contributing to defensive transitions.
- Cihat Çelik(83% match) — Yusuf Cihat Çelik is a Balanced Midfielder. Well-rounded midfielder contributing in multiple phases.
- Lukas Kunze(84% match) — Lukas Kunze is a Balanced Midfielder. Well-rounded midfielder contributing in multiple phases.
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
Djibril Sow
Sevilla · La Liga
Switzerland29yContract 2028
KP/900.97
G/900.26
Balanced Midfielder
Last 5: → Stable83% match
€7.5M
#2
C
Cihat Çelik
Kocaelispor · Super Lig
Netherlands30y
KP/901.29
G/900.09
Balanced Midfielder
83% match
N/A
#3
L
Lukas Kunze
Hansa Rostock · Bundesliga
Germany27y
KP/901.07
G/900.00
Balanced MidfielderSmall Sample
84% match
N/A
#4
M
Minos Gouras
Homburg · Bundesliga
Germany27y
KP/901.11
G/900.22
Balanced MidfielderSmall Sample
83% match
N/A
#5
A
Ablie Jallow
Servette · Ligue 1
Gambia27yContract 2028
KP/900.92
G/900.23
Balanced Midfielder
Last 5: → Stable83% match
N/A
#6
M
Mitchell van Rooijen
TOP Oss · Eredivisie
Netherlands27yContract 2026
KP/900.20
G/900.30
Balanced MidfielderSmall Sample
Last 5: → Stable83% match
N/A
#7
J
Jamie Jacobs
Almere City · Eredivisie
Netherlands28y
KP/901.06
G/900.24
Balanced Midfielder
82% match
N/A
#8
M
Mauro Arambarri
Getafe · La Liga
Uruguay30yContract 2028
KP/900.59
G/900.21
Balanced Midfielder
Last 5: → Stable82% match
€10.0M
#9
R
Ruben Loftus-Cheek
AC Milan · Serie A
England30yContract 2027
KP/900.79
G/900.26
Balanced Midfielder
83% match
€10.0M
#10
T
Thomas Beekman
IJsselmeervogels · Eredivisie
Netherlands26y
KP/900.22
G/900.00
Balanced MidfielderSmall Sample
83% match
N/A
#11
J
Junior Dina Ebimbe
Brest · Ligue 1
France25yContract 2026
KP/900.64
G/900.23
Balanced MidfielderSmall Sample
Last 5: → Stable83% match
€6.0M
#12
M
Mikkel Mouritz
Hillerød · Superliga
Denmark29y
KP/901.21
G/900.09
Balanced Midfielder
Last 5: ↓ Dip82% 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 Kaan Caliskaner.
Ask AI about Kaan Caliskaner →Frequently Asked Questions
Who are the best alternatives to Kaan Caliskaner?▼
The top alternatives to Kaan Caliskaner based on AI DNA playing style analysis include: Djibril Sow, Cihat Çelik, Lukas Kunze, Minos Gouras, Ablie Jallow. 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 Kaan Caliskaner in 2026?▼
Players with a similar profile to Kaan Caliskaner in 2026 include Djibril Sow (€7.5M), Cihat Çelik (N/A), Lukas Kunze (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Kaan Caliskaner play and who plays similarly?▼
Kaan Caliskaner plays as a Midfielder. Players with a comparable positional profile include Djibril Sow (Switzerland, €7.5M); Cihat Çelik (Netherlands, N/A); Lukas Kunze (Germany, N/A); Minos Gouras (Germany, 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.