RisingTransfers
AI DNA Similarity

Best Alternatives to Aljosa Vasic

Players most similar to Aljosa Vasic (Midfielder, €2.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Aljosa Vasic

  1. 1.Raul Paula98% DNA match·NAC Breda
  2. 2.Adil Aouchiche97% DNA match·Schalke 04
  3. 3.Villum Berthelsen97% DNA match·Nordsjælland

Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.

RT

Intelligence Verdict

Aerials WonTop 1%
???Bottom 0%

A Creator....

See Full Verdict + Share Card →

Playing Style Analysis

CreatorCreativeSmall Sample

A Creator. Statistically, he stands out as an elite creator (1.7 key passes/90), a constant goal threat (2.6 shots/90), a prolific assist provider (0.34 assists/90), active in the tackle (2.2 tackles/90), creates high-quality scoring opportunities (0.68 big chances/90), heavily involved in play (56 touches/90), strong in aerial duels (3.6 aerials won/90), draws fouls effectively (3.6/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 20% creator in the league. However, he loses possession under pressure (2.0 dispossessed/90) and prone to committing fouls (3.1/90). The three most similar players to Aljosa Vasic by playing style are:

  • Raul Paula(98% match)A Creator. Statistically, he stands out as an elite creator (1.9 key passes/90), a constant goal threat (2.9 shots/90), a regular goalscorer (0.25 goals/90), a prolific assist provider (0.25 assists/90), heavily involved in play (55 touches/90), draws fouls effectively (2.8/90) and top 20% creator in the league. However, he loses possession under pressure (2.0 dispossessed/90).
  • Adil Aouchiche(97% match)A Creator. Statistically, he stands out as an elite creator (3.8 key passes/90), a constant goal threat (3.3 shots/90), a reliable supplier (0.17 assists/90), creates high-quality scoring opportunities (0.86 big chances/90), delivers dangerous crosses (3.2 accurate crosses/90), heavily involved in play (64 touches/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% creator in the league.
  • Villum Berthelsen(97% match)A Creator. Statistically, he stands out as an elite creator (1.8 key passes/90) and top 20% creator in the league. However, he loses possession under pressure (2.7 dispossessed/90) and prone to committing fouls (3.4/90).

Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →

A
Comparison Base
Aljosa Vasic
MidfielderSerbia€2.0M
Full profile →

Similar Players — Ranked by DNA Similarity

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 Aljosa Vasic.

Ask AI about Aljosa Vasic

Frequently Asked Questions

Who are the best alternatives to Aljosa Vasic?
The top alternatives to Aljosa Vasic based on AI DNA playing style analysis include: Raul Paula, Adil Aouchiche, Villum Berthelsen, Aarón Ochoa, Matija Mitrovic. 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 Aljosa Vasic in 2026?
Players with a similar profile to Aljosa Vasic in 2026 include Raul Paula (N/A), Adil Aouchiche (N/A), Villum Berthelsen (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Aljosa Vasic play and who plays similarly?
Aljosa Vasic plays as a Midfielder. Players with a comparable positional profile include Raul Paula (Germany, N/A); Adil Aouchiche (France, N/A); Villum Berthelsen (Denmark, N/A); Aarón Ochoa (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.