RisingTransfers
AI DNA Similarity

Best Alternatives to Hércules 

Players most similar to Hércules  (Midfielder, €12.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Hércules 

  1. 1.Jerome Deom98% DNA match·Roda JC Kerkrade
  2. 2.Mawuli Kwame Mensah Vadze97% DNA match·Real Betis
  3. 3.Unai Vencedor97% DNA match·Levante

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

RT

Intelligence Verdict

GoalsTop 7%

A Ball-Winner....

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Playing Style Analysis

Ball-WinnerDefensiveSmall Sample

A Ball-Winner. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a regular goalscorer (0.34 goals/90), an aggressive ball-winner (2.8 tackles/90), meticulous in distribution (93% pass accuracy), heavily involved in play (67 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 803 minutes of playing time this season. The three most similar players to Hércules  by playing style are:

  • Jerome Deom(98% match)A Box-to-Box. Statistically, he stands out as a capable chance creator (1.5 key passes/90), an aggressive ball-winner (2.6 tackles/90), wins the ball cleanly (2.4 successful tackles/90), heavily involved in play (57 touches/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 490 minutes of playing time this season.
  • Mawuli Kwame Mensah Vadze(97% match)A Box-to-Box. Statistically, he stands out as active in the tackle (2.5 tackles/90), meticulous in distribution (91% pass accuracy), wins the physical battle (63% duel success), heavily involved in play (59 touches/90) and a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up. Note: this profile is based on 688 minutes of playing time this season.
  • Unai Vencedor(97% match)A Box-to-Box. Statistically, he stands out as a capable chance creator (1.3 key passes/90), active in the tackle (2.2 tackles/90), penetrates with forward passing (8.4 final-third passes/90), heavily involved in play (58 touches/90), switches play with precision (6.8 long balls/90, 68% accuracy) and active off the ball (2.5 press score/90), contributing to defensive transitions. Note: this profile is based on 568 minutes of playing time this season.

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

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Comparison Base
Hércules 
MidfielderBrazil€12.0M
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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 Hércules .

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Frequently Asked Questions

Who are the best alternatives to Hércules ?
The top alternatives to Hércules  based on AI DNA playing style analysis include: Jerome Deom, Mawuli Kwame Mensah Vadze, Unai Vencedor, Yassir Salah Rahmouni, Alessandro De Vitis. 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 Hércules  in 2026?
Players with a similar profile to Hércules  in 2026 include Jerome Deom (N/A), Mawuli Kwame Mensah Vadze (N/A), Unai Vencedor (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Hércules  play and who plays similarly?
Hércules  plays as a Midfielder. Players with a comparable positional profile include Jerome Deom (Belgium, N/A); Mawuli Kwame Mensah Vadze (Ghana, N/A); Unai Vencedor (Spain, N/A); Yassir Salah Rahmouni (, 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.