Best Alternatives to Sylian Mokono

Top 3 Alternatives to Sylian Mokono

1. 1.Yousri el Anbri99% DNA match·VVV-Venlo
2. 2.Abdullah Şahindere98% DNA match·Gençlerbirliği
3. 3.Pelayo Fernández98% DNA match·Rayo Vallecano€3.5M

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

Playing Style Analysis

A Reading Defender. Statistically, he stands out as active in the tackle (1.9 tackles/90), commanding in the air (4.3 clearances/90), reads the game exceptionally (2.3 interceptions/90), wins the physical battle (62% duel success), penetrates with forward passing (8.9 final-third passes/90), wins the ball cleanly (1.8 successful tackles/90), central to possession (71 touches/90), uses long balls frequently (7.7/90) and active off the ball (3.0 press score/90), contributing to defensive transitions. Note: this profile is based on 691 minutes of playing time this season. The three most similar players to Sylian Mokono by playing style are:

• Yousri el Anbri(99% match) — A Reading Defender. Statistically, he stands out as active in the tackle (2.1 tackles/90), commanding in the air (4.0 clearances/90), reads the game exceptionally (2.1 interceptions/90), wins the physical battle (61% duel success) and uses long balls frequently (5.2/90). Note: this profile is based on 608 minutes of playing time this season.
• Abdullah Şahindere(98% match) — A Reading Defender. Statistically, he stands out as an aggressive ball-winner (2.6 tackles/90), commanding in the air (5.0 clearances/90), reads the game exceptionally (3.1 interceptions/90) and wins the physical battle (60% duel success). Note: this profile is based on 721 minutes of playing time this season.
• Pelayo Fernández(98% match) — A Reading Defender. Statistically, he stands out as commanding in the air (4.0 clearances/90), reads the game exceptionally (1.7 interceptions/90) and uses long balls frequently (7.4/90). Note: this profile is based on 538 minutes of playing time this season.

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