RisingTransfers
AI DNA Similarity

Best Alternatives to Dmitri Barinov

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

Top 3 Alternatives to Dmitri Barinov

  1. 1.Tomas Suslov82% DNA match·Hellas Verona€5.0M
  2. 2.Alexandru Maxim81% DNA match·Gaziantep F.K.€3.0M
  3. 3.Enis Bardhi81% DNA match·Konyaspor€3.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

A Box-to-Box....

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Playing Style Analysis

Box-to-BoxSmall Sample

A Box-to-Box. Statistically, he stands out as top 10% tackler in the league. Note: this profile is based on 523 minutes of playing time this season. The three most similar players to Dmitri Barinov by playing style are:

  • Tomas Suslov(82% 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.
  • Alexandru Maxim(81% match)Maxim is the quintessential Super Lig puppet master, a high-volume creator who thrives on the edge of chaos for a Tier C side where he is the undisputed offensive heartbeat. While his team struggles for dominance, Maxim operates in a different stratosphere, ranking in the top 5% of the league for both key passes (3.15/90) and assists, proving he is not just a facilitator but a primary architect. His 7.43 passes into the final third place him in the elite bracket of progressive distributors, yet the counterintuitive reality of his profile lies in his physicality; despite a low volume of aerial duels, his 50% win rate suggests a player with high tactical intelligence in positioning rather than raw power.
  • Enis Bardhi(81% match)Bardhi is a dead-ball specialist masquerading as a central cog, a player who operates with the surgical precision of a playmaker but carries the shot volume of a secondary striker. While his 33.7 passes per match suggest a modest involvement in build-up, his output is pure efficiency; he ranks in the top 5% of Super Lig midfielders for key passes and the top 10% for goals. This discrepancy reveals the counterintuitive reality of his game: Bardhi isn't a high-volume engine, but a high-leverage executioner who waits for the decisive moment to strike or slide a ball into the final third.

Transfer Intelligence

Tomas Suslov delivers 82% of the same playing style, at a 150% premium over Dmitri Barinov, with 0.48 key passes per 90 at age 23.

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

D
Comparison Base
Dmitri Barinov
MidfielderRussia€2.0M
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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 Dmitri Barinov.

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Frequently Asked Questions

Who are the best alternatives to Dmitri Barinov?
The top alternatives to Dmitri Barinov based on AI DNA playing style analysis include: Tomas Suslov, Alexandru Maxim, Enis Bardhi, Dani Silva, Carlos Dotor. 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 Dmitri Barinov in 2026?
Players with a similar profile to Dmitri Barinov in 2026 include Tomas Suslov (€5.0M), Alexandru Maxim (€3.0M), Enis Bardhi (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Dmitri Barinov play and who plays similarly?
Dmitri Barinov plays as a Midfielder. Players with a comparable positional profile include Tomas Suslov (Slovakia, €5.0M); Alexandru Maxim (Romania, €3.0M); Enis Bardhi (Macedonia, €3.0M); Dani Silva (Portugal, €3.5M).
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.