RisingTransfers
AI DNA Similarity

Best Alternatives to Irakli Azarovi

Players most similar to Irakli Azarovi (Defender, €3.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Irakli Azarovi

  1. 1.Valentino Lazaro89% DNA match·Torino€4.0M
  2. 2.Adam Aznou87% DNA match·Everton€7.0M
  3. 3.Souffian El Karouani85% DNA match·FC Utrecht

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 7%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBBall-PlayingSmall Sample

A Ball-Playing CB. Statistically, he stands out as meticulous in distribution (85% pass accuracy). Note: this profile is based on 730 minutes of playing time this season. The three most similar players to Irakli Azarovi by playing style are:

  • Valentino Lazaro(89% match)A Solid Defender. Statistically, he stands out as a capable chance creator (1.4 key passes/90), active in the tackle (1.8 tackles/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.
  • Adam Aznou(87% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.0 key passes/90), a proven goalscorer (0.40 goals/90), a prolific assist provider (0.40 assists/90), an aggressive ball-winner (3.8 tackles/90), wins the physical battle (58% duel success), central to possession (79 touches/90), draws fouls effectively (4.0/90) and top 10% tackler in the league. Note: this profile is based on 450 minutes of playing time this season.
  • Souffian El Karouani(85% match)A Active Full-Back. Statistically, he stands out as an elite creator (3.1 key passes/90), a prolific assist provider (0.36 assists/90), an aggressive ball-winner (2.9 tackles/90), creates high-quality scoring opportunities (0.56 big chances/90), delivers dangerous crosses (3.3 accurate crosses/90), wins the ball cleanly (1.8 successful tackles/90), central to possession (71 touches/90), uses long balls frequently (5.5/90) and active off the ball (2.7 press score/90), contributing to defensive transitions.

Transfer Intelligence

Valentino Lazaro delivers 89% of the same playing style, at a 33% premium over Irakli Azarovi, with 1.81 tackles won per 90 at age 30.

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

I
Comparison Base
Irakli Azarovi
DefenderGeorgia€3.0M
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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 Irakli Azarovi.

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Frequently Asked Questions

Who are the best alternatives to Irakli Azarovi?
The top alternatives to Irakli Azarovi based on AI DNA playing style analysis include: Valentino Lazaro, Adam Aznou, Souffian El Karouani, Erdoğan Yeşilyurt, Gabriele Zappa. 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 Irakli Azarovi in 2026?
Players with a similar profile to Irakli Azarovi in 2026 include Valentino Lazaro (€4.0M), Adam Aznou (€7.0M), Souffian El Karouani (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Irakli Azarovi play and who plays similarly?
Irakli Azarovi plays as a Defender. Players with a comparable positional profile include Valentino Lazaro (Austria, €4.0M); Adam Aznou (Morocco, €7.0M); Souffian El Karouani (Morocco, N/A); Erdoğan Yeşilyurt (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.