RisingTransfers
AI DNA Similarity

Best Alternatives to Federico Viviani

Players most similar to Federico Viviani (Midfielder, €300K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Federico Viviani

  1. 1.Odysseus Velanas98% DNA match·PEC Zwolle
  2. 2.İsmail Köybaşı98% DNA match·Göztepe
  3. 3.Iván Corralejo98% DNA match·Real Betis

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

RT

Intelligence Verdict

InterceptionsTop 1%
???Bottom 0%

A Creator....

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Playing Style Analysis

CreatorCreativeDefensiveSmall Sample

A Creator. Statistically, he stands out as an elite creator (2.5 key passes/90), a regular goalscorer (0.26 goals/90), a prolific assist provider (0.26 assists/90), an aggressive ball-winner (2.5 tackles/90), reads the game exceptionally (2.5 interceptions/90), wins the physical battle (59% duel success), heavily involved in possession (64 passes/90) and top 10% creator in the league. Note: this profile is based on 682 minutes of playing time this season. The three most similar players to Federico Viviani by playing style are:

  • Odysseus Velanas(98% match)A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a regular goalscorer (0.33 goals/90), a reliable supplier (0.17 assists/90), an aggressive ball-winner (3.3 tackles/90), creates high-quality scoring opportunities (0.67 big chances/90), wins the ball cleanly (2.0 successful tackles/90), heavily involved in play (53 touches/90), draws fouls effectively (2.5/90), active off the ball (2.4 press score/90), contributing to defensive transitions, top 20% creator in the league and top 10% tackler in the league. Note: this profile is based on 539 minutes of playing time this season.
  • İsmail Köybaşı(98% match)A Creator. Statistically, he stands out as an elite creator (1.9 key passes/90), a regular goalscorer (0.22 goals/90), active in the tackle (2.2 tackles/90), wins the physical battle (55% duel success), creates high-quality scoring opportunities (0.56 big chances/90), heavily involved in play (65 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 804 minutes of playing time this season.
  • Iván Corralejo(98% match)A Creator. Statistically, he stands out as an elite creator (1.7 key passes/90), a prolific assist provider (0.69 assists/90), wins the physical battle (60% duel success) and top 10% creator in the league. Note: this profile is based on 521 minutes of playing time this season.

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

F
Comparison Base
Federico Viviani
MidfielderItaly€300K
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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 Federico Viviani.

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Frequently Asked Questions

Who are the best alternatives to Federico Viviani?
The top alternatives to Federico Viviani based on AI DNA playing style analysis include: Odysseus Velanas, İsmail Köybaşı, Iván Corralejo, Javier Fernandez, Gustavo Klismahn. 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 Federico Viviani in 2026?
Players with a similar profile to Federico Viviani in 2026 include Odysseus Velanas (N/A), İsmail Köybaşı (N/A), Iván Corralejo (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Federico Viviani play and who plays similarly?
Federico Viviani plays as a Midfielder. Players with a comparable positional profile include Odysseus Velanas (Netherlands, N/A); İsmail Köybaşı (Turkey, N/A); Iván Corralejo (Spain, N/A); Javier Fernandez (Spain, 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.