Best Alternatives to James Sands

Top 3 Alternatives to James Sands

1. 1.Philipp Sander88% DNA match·Borussia Mönchengladbach€4.0M
2. 2.Kaishu Sano85% DNA match·Japan€25.0M
3. 3.Kevin Paredes84% DNA match·VfL Wolfsburg€3.0M

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

Playing Style Analysis

A Box-to-Box. Statistically, he stands out as reads the game exceptionally (3.0 interceptions/90), wins the physical battle (57% duel success), heavily involved in play (56 touches/90), strong in aerial duels (3.3 aerials won/90), draws fouls effectively (2.2/90) and active off the ball (2.8 press score/90), contributing to defensive transitions. Note: this profile is based on 793 minutes of playing time this season. The three most similar players to James Sands by playing style are:

• Philipp Sander(88% match) — A Ball-Winner. Statistically, he stands out as comfortable with both feet, an aggressive ball-winner (2.9 tackles/90), reads the game exceptionally (1.9 interceptions/90), meticulous in distribution (86% pass accuracy), wins the physical battle (63% duel success), heavily involved in play (69 touches/90), a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 682 minutes of playing time this season.
• Kaishu Sano(85% match) — A Box-to-Box. Statistically, he stands out as reads the game exceptionally (2.4 interceptions/90), wins the physical battle (64% duel success), heavily involved in play (56 touches/90) and a high-intensity presser (press score 3.6/90), constantly disrupting opposition build-up.
• Kevin Paredes(84% match) — A Ball-Winner. Statistically, he stands out as naturally left-footed, a capable chance creator (1.1 key passes/90), an aggressive ball-winner (2.6 tackles/90), reads the game exceptionally (1.5 interceptions/90), wins the physical battle (63% duel success) and top 10% tackler in the league.

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