RisingTransfers
AI DNA Similarity

Best Alternatives to Pedro Ortiz

Players most similar to Pedro Ortiz (Midfielder, €150K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Pedro Ortiz

  1. 1.José Luís Rocha Tavares98% DNA match·Santa Clara
  2. 2.Antonio Vergara98% DNA match·Napoli
  3. 3.Mathias de Amorim98% DNA match·Famalicão

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 a capable chance creator (1.2 key passes/90), an aggressive ball-winner (2.9 tackles/90), heavily involved in play (55 touches/90), active off the ball (2.4 press score/90), contributing to defensive transitions and top 10% tackler in the league. However, he prone to committing fouls (2.7/90). The three most similar players to Pedro Ortiz by playing style are:

  • José Luís Rocha Tavares(98% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.1 tackles/90), wins the physical battle (55% duel success), wins the ball cleanly (2.1 successful tackles/90), heavily involved in play (58 touches/90), draws fouls effectively (3.0/90), a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up and top 10% tackler in the league. However, he prone to committing fouls (3.5/90).
  • Antonio Vergara(98% match)A Creator. Statistically, he stands out as a capable chance creator (1.5 key passes/90), a prolific assist provider (0.37 assists/90), active in the tackle (2.0 tackles/90), heavily involved in play (52 touches/90), draws fouls effectively (3.5/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. However, he loses possession under pressure (2.6 dispossessed/90) and prone to committing fouls (2.8/90).
  • Mathias de Amorim(98% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (2.9 tackles/90), heavily involved in play (51 touches/90), draws fouls effectively (2.8/90), active off the ball (2.8 press score/90), contributing to defensive transitions and top 10% tackler in the league.

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

P
Comparison Base
Pedro Ortiz
MidfielderSpain€150K
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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 Pedro Ortiz.

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Frequently Asked Questions

Who are the best alternatives to Pedro Ortiz?
The top alternatives to Pedro Ortiz based on AI DNA playing style analysis include: José Luís Rocha Tavares, Antonio Vergara, Mathias de Amorim, Jin-ho Jo, Joseph Nonge. 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 Pedro Ortiz in 2026?
Players with a similar profile to Pedro Ortiz in 2026 include José Luís Rocha Tavares (N/A), Antonio Vergara (N/A), Mathias de Amorim (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Pedro Ortiz play and who plays similarly?
Pedro Ortiz plays as a Midfielder. Players with a comparable positional profile include José Luís Rocha Tavares (Cape Verde, N/A); Antonio Vergara (Italy, N/A); Mathias de Amorim (France, 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.