RisingTransfers
AI DNA Similarity

Best Alternatives to Marc Bernal

Players most similar to Marc Bernal (Midfielder, €10.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Marc Bernal

  1. 1.Rafael Filipe Gonçalves Soares Luís98% DNA match·Strasbourg€4.0M
  2. 2.Dave Kwakman97% DNA match·FC Volendam
  3. 3.Mussa Kaba96% DNA match·Borussia Dortmund

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

Playing Style Analysis

Ball-WinnerDefensiveSmall Sample

A Ball-Winner. Statistically, he stands out as naturally left-footed, a regular goalscorer (0.36 goals/90), a reliable supplier (0.18 assists/90), an aggressive ball-winner (3.0 tackles/90), meticulous in distribution (93% pass accuracy), heavily involved in possession (67 passes/90), wins the ball cleanly (2.3 successful tackles/90), central to possession (83 touches/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 507 minutes of playing time this season. The three most similar players to Marc Bernal by playing style are:

  • Rafael Filipe Gonçalves Soares Luís(98% match)A Ball-Winner. Statistically, he stands out as naturally left-footed, a capable chance creator (1.0 key passes/90), a reliable supplier (0.17 assists/90), an aggressive ball-winner (3.0 tackles/90), meticulous in distribution (88% pass accuracy), central to possession (72 touches/90) and top 10% tackler in the league. Note: this profile is based on 541 minutes of playing time this season.
  • Dave Kwakman(97% match)A Ball-Winner. Statistically, he stands out as a prolific assist provider (0.50 assists/90), an aggressive ball-winner (3.8 tackles/90), meticulous in distribution (85% pass accuracy), wins the physical battle (56% duel success), wins the ball cleanly (2.0 successful tackles/90), heavily involved in play (60 touches/90), draws fouls effectively (2.3/90), active off the ball (2.8 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 717 minutes of playing time this season.
  • Mussa Kaba(96% match)A Ball-Winner. Statistically, he stands out as a reliable supplier (0.17 assists/90), meticulous in distribution (90% pass accuracy) and wins the physical battle (67% duel success). Note: this profile is based on 523 minutes of playing time this season.

Transfer Intelligence

Rafael Filipe Gonçalves Soares Luís delivers 98% of the same playing style, at 60% lower cost (€4.0M vs €10.0M), with 0.31 key passes per 90 at age 21.

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

M
Comparison Base
Marc Bernal
MidfielderSpain€10.0M
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 Marc Bernal.

Ask AI about Marc Bernal

Frequently Asked Questions

Who are the best alternatives to Marc Bernal?
The top alternatives to Marc Bernal based on AI DNA playing style analysis include: Rafael Filipe Gonçalves Soares Luís, Dave Kwakman, Mussa Kaba, Jin-ho Jo, Sem Scheperman. 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 Marc Bernal in 2026?
Players with a similar profile to Marc Bernal in 2026 include Rafael Filipe Gonçalves Soares Luís (€4.0M), Dave Kwakman (N/A), Mussa Kaba (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Marc Bernal play and who plays similarly?
Marc Bernal plays as a Midfielder. Players with a comparable positional profile include Rafael Filipe Gonçalves Soares Luís (Portugal, €4.0M); Dave Kwakman (Netherlands, N/A); Mussa Kaba (Guinea, N/A); Jin-ho Jo (South Korea, 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.