RisingTransfers
AI DNA Similarity

Best Alternatives to Danila Kozlov

Players most similar to Danila Kozlov (Midfielder, €1.3M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Danila Kozlov

  1. 1.Kacper Kozlowski86% DNA match·Gaziantep F.K.€5.0M
  2. 2.Tomas Suslov85% DNA match·Hellas Verona€5.0M
  3. 3.Martin Baturina83% DNA match·Como€18.0M

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

RT

Intelligence Verdict

GoalsTop 0%
???Bottom 0%

A Creator....

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Playing Style Analysis

CreatorSmall Sample

A Creator. Statistically, he stands out as a capable chance creator (1.3 key passes/90), a proven goalscorer (0.79 goals/90), a prolific assist provider (0.39 assists/90), draws fouls effectively (2.4/90) and top 20% creator in the league. Note: this profile is based on 685 minutes of playing time this season. The three most similar players to Danila Kozlov by playing style are:

  • Kacper Kozlowski(86% match)A Creator. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a regular goalscorer (0.21 goals/90), draws fouls effectively (3.1/90) and active off the ball (2.0 press score/90), contributing to defensive transitions.
  • Tomas Suslov(85% match)A Creator. Statistically, he stands out as naturally left-footed, a capable chance creator (1.2 key passes/90), active in the tackle (2.4 tackles/90), draws fouls effectively (2.8/90) and active off the ball (2.0 press score/90), contributing to defensive transitions.
  • Martin Baturina(83% match)A Creator. Statistically, he stands out as an elite creator (4.1 key passes/90), a proven goalscorer (0.51 goals/90), a prolific assist provider (0.31 assists/90), meticulous in distribution (88% pass accuracy), creates high-quality scoring opportunities (0.72 big chances/90), heavily involved in play (70 touches/90), draws fouls effectively (2.4/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (1.6 dispossessed/90).

Transfer Intelligence

Kacper Kozlowski delivers 86% of the same playing style, at a 300% premium over Danila Kozlov, with 1.23 key passes per 90 at age 22.

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

D
Comparison Base
Danila Kozlov
MidfielderRussia€1.3M
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 Danila Kozlov.

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Frequently Asked Questions

Who are the best alternatives to Danila Kozlov?
The top alternatives to Danila Kozlov based on AI DNA playing style analysis include: Kacper Kozlowski, Tomas Suslov, Martin Baturina, Oscar Gloukh, Georgiy Sudakov. 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 Danila Kozlov in 2026?
Players with a similar profile to Danila Kozlov in 2026 include Kacper Kozlowski (€5.0M), Tomas Suslov (€5.0M), Martin Baturina (€18.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Danila Kozlov play and who plays similarly?
Danila Kozlov plays as a Midfielder. Players with a comparable positional profile include Kacper Kozlowski (Poland, €5.0M); Tomas Suslov (Slovakia, €5.0M); Martin Baturina (Croatia, €18.0M); Oscar Gloukh (Israel, €18.0M).
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.