RisingTransfers
AI DNA Similarity

Best Alternatives to Martín Ojeda

Players most similar to Martín Ojeda (Midfielder, €5.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Martín Ojeda

  1. 1.Exequiel Palacios84% DNA match·Bayer 04 Leverkusen€30.0M
  2. 2.Nico Melamed84% DNA match·Almería€3.0M
  3. 3.Mats Seuntjens83% DNA match·FC Groningen

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

RT

Intelligence Verdict

Dribbled PastTop 0%
???Bottom 0%

A Creator....

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Playing Style Analysis

CreatorCreative

A Creator. Statistically, he stands out as an elite creator (3.3 key passes/90), a constant goal threat (3.5 shots/90), a proven goalscorer (0.52 goals/90), a prolific assist provider (0.32 assists/90), creates high-quality scoring opportunities (0.65 big chances/90), heavily involved in play (55 touches/90) and top 10% creator in the league. The three most similar players to Martín Ojeda by playing style are:

  • Exequiel Palacios(84% match)A Metronome. Statistically, he stands out as an elite creator (2.2 key passes/90), a prolific assist provider (0.55 assists/90), meticulous in distribution (90% pass accuracy), wins the physical battle (56% duel success), heavily involved in possession (79 passes/90), creates high-quality scoring opportunities (0.78 big chances/90), central to possession (94 touches/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (1.6 dispossessed/90).
  • Nico Melamed(84% match)Nicolás Melamed Ribaudo is a Creator. Playmaker unlocking defenses with key passes. Statistically, he stands out as an elite creator (1.8 key passes/90) and top 20% creator in the league.
  • Mats Seuntjens(83% match)A Creator. Statistically, he stands out as an elite creator (2.6 key passes/90), a regular goalscorer (0.27 goals/90), a prolific assist provider (0.27 assists/90), active in the tackle (1.9 tackles/90), creates high-quality scoring opportunities (1.21 big chances/90), active off the ball (2.0 press score/90), contributing to defensive transitions and top 10% creator in the league. Note: this profile is based on 669 minutes of playing time this season.

Transfer Intelligence

Exequiel Palacios delivers 84% of the same playing style, at a 500% premium over Martín Ojeda, with 0.81 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 →

M
Comparison Base
Martín Ojeda
MidfielderArgentina€5.0M
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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 Martín Ojeda.

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Frequently Asked Questions

Who are the best alternatives to Martín Ojeda?
The top alternatives to Martín Ojeda based on AI DNA playing style analysis include: Exequiel Palacios, Nico Melamed, Mats Seuntjens, Fredrik Jensen, Mitchel Paulissen. 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 Martín Ojeda in 2026?
Players with a similar profile to Martín Ojeda in 2026 include Exequiel Palacios (€30.0M), Nico Melamed (€3.0M), Mats Seuntjens (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Martín Ojeda play and who plays similarly?
Martín Ojeda plays as a Midfielder. Players with a comparable positional profile include Exequiel Palacios (Argentina, €30.0M); Nico Melamed (Spain, €3.0M); Mats Seuntjens (Netherlands, N/A); Fredrik Jensen (Finland, €3.0M).
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.