Best Alternatives to Malick Thiaw

Top 3 Alternatives to Malick Thiaw

1. 1.Jaka Bijol89% DNA match·Leeds United€18.0M
2. 2.Trevoh Chalobah89% DNA match·Chelsea€40.0M
3. 3.Marc Guéhi88% DNA match·Manchester City€65.0M

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

Playing Style Analysis

Thiaw has quietly become one of the Premier League's most complete defensive profiles — a towering centre-back who doesn't just win his battles, he wins them cleanly. His aerial win rate of 65.1% and duel success of 64.2% both sit in the league's top 20%, but the counterintuitive story is his attacking output: 0.16 goals per 90 and 0.98 shots per 90 place him in the top 10% among defenders, suggesting a genuine threat from set-pieces that opponents routinely underestimate. His pass accuracy of 90.6% reflects a ball-player comfortable in possession-heavy systems, and his above-average delivery into the final third adds genuine build-up value. The three most similar players to Malick Thiaw by playing style are:

• Jaka Bijol(89% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (7.0 clearances/90), meticulous in distribution (85% pass accuracy), wins the physical battle (56% duel success), strong in aerial duels (3.2 aerials won/90) and uses long balls frequently (6.3/90).
• Trevoh Chalobah(89% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.7 clearances/90), meticulous in distribution (93% pass accuracy), wins the physical battle (59% duel success), heavily involved in possession (74 passes/90), central to possession (87 touches/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.
• Marc Guéhi(88% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.2 clearances/90), meticulous in distribution (85% pass accuracy), wins the physical battle (64% duel success), uses long balls frequently (6.3/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.

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