Best Alternatives to Wout Faes

Top 3 Alternatives to Wout Faes

1. 1.Timothy Castagne85% DNA match·Fulham€10.0M
2. 2.Wesley Fofana85% DNA match·Chelsea€28.0M
3. 3.Odilon Kossounou84% DNA match·Atalanta€22.0M

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 commanding in the air (4.5 clearances/90), meticulous in distribution (92% pass accuracy), wins the physical battle (55% duel success), heavily involved in possession (63 passes/90), central to possession (74 touches/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. Note: this profile is based on 839 minutes of playing time this season. The three most similar players to Wout Faes by playing style are:

• Timothy Castagne(85% match) — A Active Full-Back. Statistically, he stands out as active in the tackle (1.8 tackles/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (86% pass accuracy) and wins the physical battle (56% duel success).
• Wesley Fofana(85% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.8 clearances/90), reads the game exceptionally (1.9 interceptions/90), meticulous in distribution (92% pass accuracy), wins the physical battle (62% duel success), heavily involved in possession (66 passes/90), central to possession (83 touches/90), dominant in the air (3.7 aerials won/90, 64%) and active off the ball (2.5 press score/90), contributing to defensive transitions.
• Odilon Kossounou(84% match) — Kossounou has carved out a rare niche in Serie A's defensive landscape: a centre-back who builds play with the precision of a deep-lying midfielder while quietly contributing to the scoresheet. His 92.7% pass accuracy places him in the top 5% of defenders in the division—not just neat sideways passes, but 5.27 progressive balls into the final third per 90, suggesting genuine intent to break lines. His goal contribution rate sits in the top 20%, a counterintuitive figure that reveals an underrated offensive threat from set-pieces that opponents routinely underestimate.

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