Best Alternatives to Salim Diakité

Top 3 Alternatives to Salim Diakité

1. 1.Bafodé Diakité87% DNA match·AFC Bournemouth€30.0M
2. 2.Odilon Kossounou83% DNA match·Atalanta€22.0M
3. 3.Abdoulaye Ndiaye84% DNA match·Parma€6.5M

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 active in the tackle (2.2 tackles/90), wins the physical battle (65% duel success), central to possession (70 touches/90), uses long balls frequently (5.1/90) and active off the ball (2.3 press score/90), contributing to defensive transitions. Note: this profile is based on 770 minutes of playing time this season. The three most similar players to Salim Diakité by playing style are:

• Bafodé Diakité(87% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.8 clearances/90), meticulous in distribution (88% pass accuracy) and uses long balls frequently (5.1/90).
• Odilon Kossounou(83% 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.
• Abdoulaye Ndiaye(84% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, active in the tackle (1.9 tackles/90), commanding in the air (4.9 clearances/90), wins the physical battle (57% duel success), uses long balls frequently (5.3/90) and active off the ball (2.0 press score/90), contributing to defensive transitions. Note: this profile is based on 752 minutes of playing time this season.

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