AI DNA Similarity
Best Alternatives to Nikola Cumic
Players most similar to Nikola Cumic (Attacker, €1.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Nikola Cumic
- 1.Nikola Gjorgjev87% DNA match·Farense
- 2.Romano Postema83% DNA match·FC Emmen
- 3.Riad Bajic83% DNA match·AEK Larnaca€5.5M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Chances MissedTop 0%
???Bottom 0%
“A Forward....”
See Full Verdict + Share Card →Playing Style Analysis
A Forward. The three most similar players to Nikola Cumic by playing style are:
- Nikola Gjorgjev(87% match) — Nikola Gjorgjev is a Forward. Versatile attacking option. (Limited sample: 337 mins)
- Romano Postema(83% match) — A Forward.
- Riad Bajic(83% match) — Rijad Bajić is a Forward. Versatile attacking option. Statistically, he stands out as a capable chance creator (1.1 key passes/90) and a prolific assist provider (0.38 assists/90).
Transfer Intelligence
Riad Bajic delivers 83% of the same playing style, at a 267% premium over Nikola Cumic, with 0.46 goals per 90 at age 32.
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
87% match
N/A
#2
R
Romano Postema
FC Emmen · Eredivisie
Netherlands24yContract 2026
G/900.69
A/900.23
vs Cumic: 3y younger
83% match
N/A
#3
R
Riad Bajic
AEK Larnaca · Super Lig
Bosnia and Herzegovina32yContract 2027
G/900.46
A/900.15
vs Cumic: 5y older
83% match
€5.5M
#4
Á
Álex Sola
Granada · La Liga
Spain26yContract 2026
G/900.10
A/900.10
82% match
N/A
#5
D
Dennis Johnsen
Cremonese · Serie A
Norway28yContract 2029
G/900.28
A/900.00
81% match
€3.0M
#6
V
Vaclav Jurecka
Baník Ostrava · Super Lig
Czech Republic31y
G/900.19
A/900.00
Small Sample
Last 5: ↓ Dip81% match
N/A
#7
M
Michael Breij
Roda JC Kerkrade · Eredivisie
Netherlands29y
G/900.58
A/900.17
81% match
N/A
#8
M
Michiel Kramer
RKC Waalwijk · Eredivisie
Netherlands37y
G/900.39
A/900.00
Small Sample
82% match
N/A
#9
A
André Bukia
Al Adalah · Liga Portugal
DR Congo31y
G/900.17
A/900.00
81% match
N/A
#10
F
Fer Niño
Burgos · La Liga
Spain25y
G/900.23
A/900.00
Target ManSmall Sample
Last 5: → Stable81% match
N/A
#11
J
Jannik Holmsgaard Pohl
Hillerød · Superliga
Denmark30y
G/900.00
A/900.00
Small Sample
80% match
N/A
#12
S
Sebastian Müller
Schweinfurt · Bundesliga
Germany25y
G/900.00
A/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 Nikola Cumic.
Ask AI about Nikola Cumic →Frequently Asked Questions
Who are the best alternatives to Nikola Cumic?▼
The top alternatives to Nikola Cumic based on AI DNA playing style analysis include: Nikola Gjorgjev, Romano Postema, Riad Bajic, Álex Sola, Dennis Johnsen. 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 Nikola Cumic in 2026?▼
Players with a similar profile to Nikola Cumic in 2026 include Nikola Gjorgjev (N/A), Romano Postema (N/A), Riad Bajic (€5.5M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Nikola Cumic play and who plays similarly?▼
Nikola Cumic plays as a Attacker. Players with a comparable positional profile include Nikola Gjorgjev (Switzerland, N/A); Romano Postema (Netherlands, N/A); Riad Bajic (Bosnia and Herzegovina, €5.5M); Álex Sola (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.