AI DNA Similarity
Best Alternatives to J. Čeliković
Players most similar to J. Čeliković (Defender, €250K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to J. Čeliković
- 1.Roko Jureskin87% DNA match·Spartak Trnava
- 2.Jonas Kehl86% DNA match·Sportfreunde Lotte
- 3.Justin Janitzek86% DNA match·Wehen Wiesbaden
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
Reading DefenderAerial
Jasmin Čeliković is a Reading Defender. Positionally astute defender who intercepts passing lanes. Statistically, he stands out as commanding in the air (4.0 clearances/90). The three most similar players to J. Čeliković by playing style are:
- Roko Jureskin(87% match) — Roko Jureskin is a Defender. Solid defensive option. (Limited sample: 287 mins)
- Jonas Kehl(86% match) — Jonas Kehl is a Defender. Solid defensive option. (Limited sample: 407 mins)
- Justin Janitzek(86% match) — Justin Janitzek is a Defender. Solid defensive option. (Limited sample: 360 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
R
Roko Jureskin
Spartak Trnava · Serie A
Croatia25y
Tkl/901.57
KP/900.94
Small Sample
vs Čeliković: 2y younger
87% match
N/A
#2
J
Jonas Kehl
Sportfreunde Lotte · Bundesliga
Germany25y
Tkl/900.00
KP/900.00
Small Sample
vs Čeliković: 2y younger
86% match
N/A
#3
J
Justin Janitzek
Wehen Wiesbaden · Bundesliga
Germany22y
Tkl/900.25
KP/900.00
Small Sample
vs Čeliković: 5y younger
86% match
N/A
#4
N
Nermin Zolotić
Noah · Liga Portugal
Bosnia and Herzegovina32y
Tkl/900.00
KP/900.00
Ball-Playing CBSmall Sample
82% match
N/A
#5
E
Elfar Freyr Helgason
Valur · Superliga
Iceland36y
Tkl/900.00
KP/900.00
Small Sample
82% match
N/A
#6
S
Simon Asta
Kaiserslautern · Bundesliga
Germany25y
Tkl/901.89
KP/900.00
Small Sample
Last 5: → Stable81% match
N/A
#7
M
Manel Royo
Teruel · Eredivisie
Spain32y
Tkl/900.00
KP/900.00
Small Sample
82% match
N/A
#8
K
Kevin Vázquez
Sporting Gijón · La Liga
Spain33yContract 2026
Tkl/900.40
KP/900.00
Solid DefenderSmall Sample
Last 5: ↑ Hot81% match
N/A
#9
F
Fabian Holland
Darmstadt 98 · Bundesliga
Germany35yContract 2025
Tkl/903.98
KP/900.36
Active Full-Back
Last 5: ↓ Dip81% match
N/A
#10
M
Marco Meyerhöfer
Preußen Münster · Bundesliga
Germany30y
Tkl/902.14
KP/900.62
81% match
N/A
#11
A
Alex Pinto
Farense · Liga Portugal
Portugal27y
Tkl/901.33
KP/900.27
82% match
N/A
#12
A
Arne Rühlemann
Lokomotive Leipzig · Bundesliga
Germany21y
Tkl/900.00
KP/900.00
Small Sample
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 J. Čeliković.
Ask AI about J. Čeliković →Frequently Asked Questions
Who are the best alternatives to J. Čeliković?▼
The top alternatives to J. Čeliković based on AI DNA playing style analysis include: Roko Jureskin, Jonas Kehl, Justin Janitzek, Nermin Zolotić, Elfar Freyr Helgason. 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 J. Čeliković in 2026?▼
Players with a similar profile to J. Čeliković in 2026 include Roko Jureskin (N/A), Jonas Kehl (N/A), Justin Janitzek (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does J. Čeliković play and who plays similarly?▼
J. Čeliković plays as a Defender. Players with a comparable positional profile include Roko Jureskin (Croatia, N/A); Jonas Kehl (Germany, N/A); Justin Janitzek (Germany, N/A); Nermin Zolotić (Bosnia and Herzegovina, 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.