Best Alternatives to Taylor Harwood-Bellis

Top 3 Alternatives to Taylor Harwood-Bellis

1. 1.Dan Ballard86% DNA match·Sunderland€20.0M
2. 2.Trevoh Chalobah84% DNA match·Chelsea€40.0M
3. 3.Jan Paul van Hecke84% DNA match·Brighton & Hove Albion€35.0M

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 (7.5 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (61% duel success), heavily involved in possession (71 passes/90), penetrates with forward passing (8.8 final-third passes/90), central to possession (89 touches/90), strong in aerial duels (3.6 aerials won/90), uses long balls frequently (9.9/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. The three most similar players to Taylor Harwood-Bellis by playing style are:

• Dan Ballard(86% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (7.8 clearances/90), wins the physical battle (59% duel success), strong in aerial duels (4.4 aerials won/90) and uses long balls frequently (6.6/90).
• Trevoh Chalobah(84% 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.
• Jan Paul van Hecke(84% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.3 clearances/90), meticulous in distribution (87% pass accuracy), wins the physical battle (61% duel success), heavily involved in possession (70 passes/90), penetrates with forward passing (10.7 final-third passes/90), central to possession (84 touches/90), strong in aerial duels (3.1 aerials won/90) and uses long balls frequently (7.7/90).

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