AI DNA Similarity
Best Alternatives to Goran Zakaric
Players most similar to Goran Zakaric (Attacker, €150K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Goran Zakaric
- 1.Nikola Gjorgjev87% DNA match·Farense
- 2.Vaclav Jurecka85% DNA match·Baník Ostrava
- 3.Sebastian Müller84% DNA match·Schweinfurt
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
Small Sample
A Forward. Note: this profile is based on 635 minutes of playing time this season. The three most similar players to Goran Zakaric by playing style are:
- Nikola Gjorgjev(87% match) — Nikola Gjorgjev is a Forward. Versatile attacking option. (Limited sample: 337 mins)
- Vaclav Jurecka(85% match) — Václav Jurečka is a Forward. Versatile attacking option. However, he loses possession under pressure (1.8 dispossessed/90).
- Sebastian Müller(84% match) — Sebastian Müller is a Forward. Versatile attacking option. However, he loses possession under pressure (2.9 dispossessed/90). (Limited sample: 281 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
N
Nikola Gjorgjev
Farense · Liga Portugal
Switzerland28y
G/900.00
A/900.00
Small Sample
vs Zakaric: 5y younger
87% match
N/A
#2
V
Vaclav Jurecka
Baník Ostrava · Super Lig
Czech Republic31y
G/900.19
A/900.00
Small Sample
Last 5: ↓ Dipvs Zakaric: 2y younger
85% match
N/A
#3
S
Sebastian Müller
Schweinfurt · Bundesliga
Germany25y
G/900.00
A/900.00
Small Sample
vs Zakaric: 8y younger
84% match
N/A
#4
L
Loren Morón
Aris · La Liga
Spain32y
G/900.20
A/900.05
Target ManSmall Sample
Last 5: ↓ Dip83% match
N/A
#5
R
Riad Bajic
AEK Larnaca · Super Lig
Bosnia and Herzegovina32yContract 2027
G/900.46
A/900.15
82% match
€5.5M
#6
L
Luca Zanimacchia
Modena · Serie A
Italy27y
G/900.00
A/900.00
Small Sample
82% match
€3.0M
#7
R
Rober González
NEC Nijmegen · Eredivisie
Spain25y
G/900.18
A/900.18
82% match
N/A
#8
E
Enzo Stroo
Lisse · Eredivisie
Netherlands31y
G/900.00
A/900.22
Small Sample
83% match
N/A
#9
Á
Álex Millán
Leganés · Liga Portugal
Spain26yContract 2027
G/900.60
A/900.00
Small Sample
Last 5: ↓ Dip83% match
N/A
#10
Z
Zeki Amdouni
Burnley · Premier League
Switzerland25yContract 2028
G/900.32
A/900.06
82% match
€9.0M
#11
D
Dani van der Moot
Katwijk · Eredivisie
Netherlands29y
G/900.22
A/900.22
Small Sample
82% match
N/A
#12
R
Rubén Sobrino
Cultural Leonesa · La Liga
Spain33y
G/900.00
A/900.00
Complete Forward
82% match
€5.0M
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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 Goran Zakaric.
Ask AI about Goran Zakaric →Frequently Asked Questions
Who are the best alternatives to Goran Zakaric?▼
The top alternatives to Goran Zakaric based on AI DNA playing style analysis include: Nikola Gjorgjev, Vaclav Jurecka, Sebastian Müller, Loren Morón, Riad Bajic. 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 Goran Zakaric in 2026?▼
Players with a similar profile to Goran Zakaric in 2026 include Nikola Gjorgjev (N/A), Vaclav Jurecka (N/A), Sebastian Müller (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Goran Zakaric play and who plays similarly?▼
Goran Zakaric plays as a Attacker. Players with a comparable positional profile include Nikola Gjorgjev (Switzerland, N/A); Vaclav Jurecka (Czech Republic, N/A); Sebastian Müller (Germany, N/A); Loren Morón (Spain, 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.