RisingTransfers
AI DNA Similarity

Best Alternatives to Lucas Mugni

Players most similar to Lucas Mugni (Midfielder, €1.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Lucas Mugni

  1. 1.Filip Ugrinic86% DNA match·Valencia€6.0M
  2. 2.Matteo Tramoni85% DNA match·Pisa€3.0M
  3. 3.Brais Méndez84% DNA match·Real Sociedad€12.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

A Creator....

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Playing Style Analysis

CreatorCreativeDefensive

A Creator. Statistically, he stands out as an elite creator (2.2 key passes/90), a prolific assist provider (0.37 assists/90), an aggressive ball-winner (3.0 tackles/90), wins the ball cleanly (2.1 successful tackles/90), heavily involved in play (59 touches/90), active off the ball (2.8 press score/90), contributing to defensive transitions, top 20% creator in the league and top 10% tackler in the league. However, he loses possession under pressure (2.5 dispossessed/90). The three most similar players to Lucas Mugni by playing style are:

  • Filip Ugrinic(86% match)A Box-to-Box. Statistically, he stands out as a capable chance creator (1.5 key passes/90), a prolific assist provider (0.34 assists/90), active in the tackle (1.8 tackles/90), wins the physical battle (57% duel success), creates high-quality scoring opportunities (0.56 big chances/90), heavily involved in play (59 touches/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. Note: this profile is based on 799 minutes of playing time this season.
  • Matteo Tramoni(85% match)A Creator. Statistically, he stands out as an elite creator (2.6 key passes/90), a regular goalscorer (0.23 goals/90), creates high-quality scoring opportunities (0.58 big chances/90) and top 10% creator in the league. Note: this profile is based on 774 minutes of playing time this season.
  • Brais Méndez(84% match)A Creator. Statistically, he stands out as naturally left-footed, a capable chance creator (1.2 key passes/90), a regular goalscorer (0.31 goals/90), a reliable supplier (0.16 assists/90), heavily involved in play (60 touches/90) and active off the ball (2.0 press score/90), contributing to defensive transitions.

Transfer Intelligence

Filip Ugrinic delivers 86% of the same playing style, at a 500% premium over Lucas Mugni, with 1.46 key passes per 90 at age 27.

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

L
Comparison Base
Lucas Mugni
MidfielderArgentina€1.0M
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Similar Players — Ranked by DNA Similarity

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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 Lucas Mugni.

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Frequently Asked Questions

Who are the best alternatives to Lucas Mugni?
The top alternatives to Lucas Mugni based on AI DNA playing style analysis include: Filip Ugrinic, Matteo Tramoni, Brais Méndez, Rodrigo Mendoza, Lorenzo Bernasconi. 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 Lucas Mugni in 2026?
Players with a similar profile to Lucas Mugni in 2026 include Filip Ugrinic (€6.0M), Matteo Tramoni (€3.0M), Brais Méndez (€12.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Lucas Mugni play and who plays similarly?
Lucas Mugni plays as a Midfielder. Players with a comparable positional profile include Filip Ugrinic (Switzerland, €6.0M); Matteo Tramoni (France, €3.0M); Brais Méndez (Spain, €12.0M); Rodrigo Mendoza (Spain, €15.0M).
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.