RisingTransfers
AI DNA Similarity

Best Alternatives to Oscar

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

Top 3 Alternatives to Oscar

  1. 1.Tomas Suslov85% DNA match·Hellas Verona€5.0M
  2. 2.Cristian Volpato85% DNA match·Sassuolo€10.0M
  3. 3.Jari Vandeputte83% DNA match·Cremonese€3.3M

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

RT

Intelligence Verdict

AssistsTop 0%
???Bottom 14%

Oscar is a high-risk, high-reward creative engine operating as a diamond in the rough for a Tier C...

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Playing Style Analysis

Box-to-BoxCreativeDefensiveSmall Sample

Oscar is a high-risk, high-reward creative engine operating as a diamond in the rough for a Tier C Serie A side. While a cursory glance at his 81.3% pass accuracy suggests a lack of technical refinement, the reality is far more compelling: he is an unapologetic verticality merchant who sacrifices efficiency for elite-level output. Ranking in the top 5% for both key passes (4.67/90) and assists (1.00/90), he doesn't just keep possession; he interrogates defensive lines with a frequency few in Italy can match. The three most similar players to Oscar by playing style are:

  • Tomas Suslov(85% match)A Creator. Statistically, he stands out as naturally left-footed, a capable chance creator (1.2 key passes/90), active in the tackle (2.4 tackles/90), draws fouls effectively (2.8/90) and active off the ball (2.0 press score/90), contributing to defensive transitions.
  • Cristian Volpato(85% match)A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a regular goalscorer (0.20 goals/90), a prolific assist provider (0.40 assists/90), creates high-quality scoring opportunities (0.50 big chances/90), heavily involved in play (57 touches/90), active off the ball (2.0 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (2.0 dispossessed/90).
  • Jari Vandeputte(83% match)A Creator. Statistically, he stands out as an elite creator (3.0 key passes/90), a prolific assist provider (0.29 assists/90), creates high-quality scoring opportunities (0.68 big chances/90), penetrates with forward passing (9.7 final-third passes/90), heavily involved in play (70 touches/90), uses long balls frequently (6.1/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% creator in the league.

Transfer Intelligence

Tomas Suslov delivers 85% of the same playing style, at a 150% premium over Oscar, with 0.48 key passes per 90 at age 23.

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

O
Comparison Base
Oscar
MidfielderBrazil€2.0M
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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 Oscar.

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Frequently Asked Questions

Who are the best alternatives to Oscar?
The top alternatives to Oscar based on AI DNA playing style analysis include: Tomas Suslov, Cristian Volpato, Jari Vandeputte, Charles De Ketelaere, Diego Rodrigues. 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 Oscar in 2026?
Players with a similar profile to Oscar in 2026 include Tomas Suslov (€5.0M), Cristian Volpato (€10.0M), Jari Vandeputte (€3.3M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Oscar play and who plays similarly?
Oscar plays as a Midfielder. Players with a comparable positional profile include Tomas Suslov (Slovakia, €5.0M); Cristian Volpato (Italy, €10.0M); Jari Vandeputte (Belgium, €3.3M); Charles De Ketelaere (Belgium, €35.0M).
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.