Best Alternatives to Willian Pacho

Top 3 Alternatives to Willian Pacho

1. 1.Jon Pacheco89% DNA match·Deportivo Alavés€5.0M
2. 2.Clément Akpa86% DNA match·Auxerre€8.0M
3. 3.Jérémy Jacquet86% DNA match·Rennes€20.0M

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

Playing Style Analysis

A Ball-Playing CB. Statistically, he stands out as naturally left-footed, an aggressive ball-winner (2.5 tackles/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (95% pass accuracy), wins the physical battle (67% duel success), heavily involved in possession (78 passes/90), central to possession (90 touches/90) and a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up. Note: this profile is based on 883 minutes of playing time this season. The three most similar players to Willian Pacho by playing style are:

• Jon Pacheco(89% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, active in the tackle (2.0 tackles/90), commanding in the air (4.9 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (62% duel success) and uses long balls frequently (7.3/90).
• Clément Akpa(86% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (4.3 clearances/90), wins the physical battle (60% duel success), penetrates with forward passing (8.4 final-third passes/90), uses long balls frequently (10.2/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.
• Jérémy Jacquet(86% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.6 clearances/90), meticulous in distribution (89% pass accuracy), wins the physical battle (76% duel success), central to possession (72 touches/90), uses long balls frequently (6.6/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. Note: this profile is based on 789 minutes of playing time this season.

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