RisingTransfers
AI DNA Similarity

Best Alternatives to M. de Carvalho

Players most similar to M. de Carvalho (Midfielder, €4.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to M. de Carvalho

  1. 1.Manu Molina88% DNA match·Eldense
  2. 2.Enzo Leopold88% DNA match·Hannover 96
  3. 3.Jordan Holsgrove88% DNA match·Estoril

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

Playing Style Analysis

MetronomeSmall Sample

A Metronome. Statistically, he stands out as a reliable supplier (0.16 assists/90), active in the tackle (2.5 tackles/90), meticulous in distribution (86% pass accuracy), heavily involved in possession (66 passes/90), central to possession (82 touches/90), draws fouls effectively (2.5/90), switches play with precision (7.2 long balls/90, 74% accuracy), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 552 minutes of playing time this season. The three most similar players to M. de Carvalho by playing style are:

  • Manu Molina(88% match)A Metronome. Statistically, he stands out as a capable chance creator (1.2 key passes/90), wins the physical battle (60% duel success), heavily involved in possession (64 passes/90), central to possession (79 touches/90) and switches play with precision (9.3 long balls/90, 70% accuracy).
  • Enzo Leopold(88% match)A Metronome. Statistically, he stands out as an elite creator (1.6 key passes/90), active in the tackle (1.9 tackles/90), meticulous in distribution (90% pass accuracy), wins the physical battle (57% duel success), heavily involved in possession (68 passes/90), central to possession (87 touches/90), draws fouls effectively (2.3/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 20% creator in the league.
  • Jordan Holsgrove(88% match)A Metronome. Statistically, he stands out as an elite creator (1.8 key passes/90), a reliable supplier (0.23 assists/90), active in the tackle (1.9 tackles/90), meticulous in distribution (85% pass accuracy), heavily involved in possession (75 passes/90), penetrates with forward passing (12.6 final-third passes/90), central to possession (92 touches/90), uses long balls frequently (7.9/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% creator in the league.

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

M
Comparison Base
M. de Carvalho
MidfielderPortugal€4.0M
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 M. de Carvalho.

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Frequently Asked Questions

Who are the best alternatives to M. de Carvalho?
The top alternatives to M. de Carvalho based on AI DNA playing style analysis include: Manu Molina, Enzo Leopold, Jordan Holsgrove, Seko Fofana, Nicolò Rovella . 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 M. de Carvalho in 2026?
Players with a similar profile to M. de Carvalho in 2026 include Manu Molina (N/A), Enzo Leopold (N/A), Jordan Holsgrove (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does M. de Carvalho play and who plays similarly?
M. de Carvalho plays as a Midfielder. Players with a comparable positional profile include Manu Molina (Spain, N/A); Enzo Leopold (Germany, N/A); Jordan Holsgrove (Scotland, N/A); Seko Fofana (Ivory Coast, €8.0M).
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.