Best Alternatives to Jaydee Canvot

Top 3 Alternatives to Jaydee Canvot

1. 1.Oliver Olsen85% DNA match·VfL Bochum 1848
2. 2.Mats Egbring85% DNA match·SC Heerenveen
3. 3.Sacha Boey86% DNA match·Galatasaray€15.0M

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 an aggressive ball-winner (2.7 tackles/90), commanding in the air (6.9 clearances/90), meticulous in distribution (89% pass accuracy), wins the physical battle (61% duel success), central to possession (73 touches/90), uses long balls frequently (5.5/90), active off the ball (2.0 press score/90), contributing to defensive transitions and top 10% tackler in the league. The three most similar players to Jaydee Canvot by playing style are:

• Oliver Olsen(85% match) — A Active Full-Back. Statistically, he stands out as an aggressive ball-winner (3.0 tackles/90), reads the game exceptionally (2.0 interceptions/90), wins the physical battle (56% duel success), central to possession (76 touches/90) and active off the ball (2.7 press score/90), contributing to defensive transitions.
• Mats Egbring(85% match) — A Active Full-Back. Statistically, he stands out as an aggressive ball-winner (3.8 tackles/90), reads the game exceptionally (2.3 interceptions/90), wins the physical battle (57% duel success), wins the ball cleanly (2.0 successful tackles/90), uses long balls frequently (5.7/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% tackler in the league.
• Sacha Boey(86% match) — A Active Full-Back. Statistically, he stands out as an aggressive ball-winner (3.4 tackles/90), meticulous in distribution (89% pass accuracy), wins the physical battle (55% duel success), wins the ball cleanly (2.2 successful tackles/90), central to possession (71 touches/90), active off the ball (2.8 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 482 minutes of playing time this season.

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