RisingTransfers
AI DNA Similarity

Best Alternatives to Lorenzo Villa

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

Top 3 Alternatives to Lorenzo Villa

  1. 1.Dylan Timber99% DNA match·VVV-Venlo
  2. 2.Omar Fayed99% DNA match·Arouca
  3. 3.João Afonso99% DNA match·Tondela

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

RT

Intelligence Verdict

InterceptionsTop 2%
???Bottom 0%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBAerial

A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (2.7 tackles/90), commanding in the air (5.6 clearances/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (86% pass accuracy), wins the physical battle (63% duel success), strong in aerial duels (3.7 aerials won/90) and top 10% tackler in the league. The three most similar players to Lorenzo Villa by playing style are:

  • Dylan Timber(99% match)A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (3.1 tackles/90), commanding in the air (4.1 clearances/90), reads the game exceptionally (2.4 interceptions/90), meticulous in distribution (87% pass accuracy), wins the physical battle (60% duel success) and top 10% tackler in the league. Note: this profile is based on 707 minutes of playing time this season.
  • Omar Fayed(99% match)A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (3.5 tackles/90), commanding in the air (4.5 clearances/90), reads the game exceptionally (2.0 interceptions/90), meticulous in distribution (88% pass accuracy), wins the physical battle (65% duel success), wins the ball cleanly (2.0 successful tackles/90), central to possession (73 touches/90), uses long balls frequently (7.5/90), a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 494 minutes of playing time this season.
  • João Afonso(99% match)A Physical Stopper. Statistically, he stands out as active in the tackle (1.9 tackles/90), commanding in the air (7.4 clearances/90), reads the game exceptionally (3.0 interceptions/90), wins the physical battle (62% duel success), dominant in the air (3.6 aerials won/90, 64%), uses long balls frequently (6.3/90) and active off the ball (2.4 press score/90), contributing to defensive transitions. Note: this profile is based on 599 minutes of playing time this season.

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

L
Comparison Base
Lorenzo Villa
DefenderItaly€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 Lorenzo Villa.

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Frequently Asked Questions

Who are the best alternatives to Lorenzo Villa?
The top alternatives to Lorenzo Villa based on AI DNA playing style analysis include: Dylan Timber, Omar Fayed, João Afonso, Magnus Døj, Claudio Kammerknecht. 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 Lorenzo Villa in 2026?
Players with a similar profile to Lorenzo Villa in 2026 include Dylan Timber (N/A), Omar Fayed (N/A), João Afonso (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Lorenzo Villa play and who plays similarly?
Lorenzo Villa plays as a Defender. Players with a comparable positional profile include Dylan Timber (Netherlands, N/A); Omar Fayed (Egypt, N/A); João Afonso (Portugal, N/A); Magnus Døj (Denmark, 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.