RisingTransfers
AI DNA Similarity

Best Alternatives to Hugo Moura

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

Top 3 Alternatives to Hugo Moura

  1. 1.Nikola Moro85% DNA match·Bologna€6.5M
  2. 2.Stanislav Lobotka85% DNA match·Napoli€18.0M
  3. 3.Rodrigo Mora85% DNA match·Porto€38.0M

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

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Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

A Metronome....

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Playing Style Analysis

Metronome

A Metronome. Statistically, he stands out as active in the tackle (1.9 tackles/90), meticulous in distribution (93% pass accuracy), heavily involved in possession (61 passes/90) and central to possession (72 touches/90). The three most similar players to Hugo Moura by playing style are:

  • Nikola Moro(85% match)Moro is the kind of midfielder who quietly rewires a team's tempo before anyone notices he's doing it. Playing in Serie A's congested midfield battlegrounds, his 65.6 passes per 90 places him in the top 5% of the league—not because he's safe and sideways, but because he's constantly available and constantly moving the game forward. That's the counterintuitive truth buried in his numbers: his 13.52 passes into the final third per 90, also top 5%, reveals a box-to-box engine with genuine progressive ambition, not a recycler.
  • Stanislav Lobotka(85% match)Lobotka is the rare midfielder who makes a possession-based system feel inevitable rather than mechanical—a metronome with a brain. His 93.4% pass accuracy and 67.3 passes per 90 both sit in Serie A's top five percent, meaning he doesn't just move the ball quickly, he moves it correctly, almost every time. The counterintuitive read here is his modest key pass and assist numbers: in a deep-lying role, his value lives in the passes before the pass, the ones that shift defensive shapes and open corridors others exploit.
  • Rodrigo Mora(85% match)A Creator. Statistically, he stands out as an elite creator (2.7 key passes/90), a constant goal threat (2.8 shots/90), heavily involved in play (55 touches/90), active off the ball (2.3 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

Nikola Moro delivers 85% of the same playing style, at a 225% premium over Hugo Moura, with 2.95 key passes per 90 at age 28.

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

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Comparison Base
Hugo Moura
MidfielderBrazil€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 Hugo Moura.

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Frequently Asked Questions

Who are the best alternatives to Hugo Moura?
The top alternatives to Hugo Moura based on AI DNA playing style analysis include: Nikola Moro, Stanislav Lobotka, Rodrigo Mora, André Gomes, Danilo Cataldi. 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 Hugo Moura in 2026?
Players with a similar profile to Hugo Moura in 2026 include Nikola Moro (€6.5M), Stanislav Lobotka (€18.0M), Rodrigo Mora (€38.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Hugo Moura play and who plays similarly?
Hugo Moura plays as a Midfielder. Players with a comparable positional profile include Nikola Moro (Croatia, €6.5M); Stanislav Lobotka (Slovakia, €18.0M); Rodrigo Mora (Portugal, €38.0M); André Gomes (Portugal, €4.5M).
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.