RisingTransfers
AI DNA Similarity

Best Alternatives to Maxim Kireev

Players most similar to Maxim Kireev (Midfielder, €750K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Maxim Kireev

  1. 1.Santiago García González98% DNA match·Gil Vicente
  2. 2.Emilio Simonsen98% DNA match·Fredericia
  3. 3.Drissa Camara98% DNA match·Gaziantep F.K.

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

A Creator....

See Full Verdict + Share Card →

Playing Style Analysis

CreatorCreativeDefensive

A Creator. Statistically, he stands out as an elite creator (2.1 key passes/90), a regular goalscorer (0.20 goals/90), a prolific assist provider (0.26 assists/90), a dynamic dribbler (2.9/90), an aggressive ball-winner (2.6 tackles/90), heavily involved in play (58 touches/90), draws fouls effectively (2.4/90) and top 10% creator in the league. However, he loses possession under pressure (2.0 dispossessed/90). The three most similar players to Maxim Kireev by playing style are:

  • Santiago García González(98% match)A Creator. Statistically, he stands out as an elite creator (1.7 key passes/90), a regular goalscorer (0.22 goals/90), heavily involved in play (53 touches/90), draws fouls effectively (2.2/90) and top 20% creator in the league. However, he loses possession under pressure (1.6 dispossessed/90).
  • Emilio Simonsen(98% match)A Creator. Statistically, he stands out as an elite creator (2.1 key passes/90), a prolific assist provider (0.29 assists/90), active in the tackle (2.3 tackles/90), heavily involved in play (54 touches/90), active off the ball (2.4 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (1.6 dispossessed/90) and prone to committing fouls (2.5/90).
  • Drissa Camara(98% match)A Ball-Winner. Statistically, he stands out as a capable chance creator (1.3 key passes/90), a constant goal threat (3.4 shots/90), a prolific assist provider (0.31 assists/90), a dynamic dribbler (2.7/90), creates high-quality scoring opportunities (0.52 big chances/90), heavily involved in play (54 touches/90), draws fouls effectively (3.0/90) and active off the ball (2.3 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.8 dispossessed/90).

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

M
Comparison Base
Maxim Kireev
MidfielderBelarus€750K
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 Maxim Kireev.

Ask AI about Maxim Kireev

Frequently Asked Questions

Who are the best alternatives to Maxim Kireev?
The top alternatives to Maxim Kireev based on AI DNA playing style analysis include: Santiago García González, Emilio Simonsen, Drissa Camara, Jakob Breum, Laurin Ulrich. 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 Maxim Kireev in 2026?
Players with a similar profile to Maxim Kireev in 2026 include Santiago García González (N/A), Emilio Simonsen (N/A), Drissa Camara (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Maxim Kireev play and who plays similarly?
Maxim Kireev plays as a Midfielder. Players with a comparable positional profile include Santiago García González (Spain, N/A); Emilio Simonsen (Denmark, N/A); Drissa Camara (Ivory Coast, N/A); Jakob Breum (Denmark, 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.