Best Alternatives to Calvin Bassey

Top 3 Alternatives to Calvin Bassey

1. 1.Jan Paul van Hecke88% DNA match·Brighton & Hove Albion€35.0M
2. 2.Sepp van den Berg87% DNA match·Brentford€28.0M
3. 3.Armel Bella-Kotchap87% DNA match·Hellas Verona€7.5M

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 naturally left-footed, active in the tackle (2.2 tackles/90), meticulous in distribution (88% pass accuracy), wins the physical battle (61% duel success), heavily involved in possession (61 passes/90), central to possession (76 touches/90), uses long balls frequently (5.4/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. The three most similar players to Calvin Bassey by playing style are:

• Jan Paul van Hecke(88% 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).
• Sepp van den Berg(87% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.2 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (66% duel success) and dominant in the air (4.6 aerials won/90, 68%).
• Armel Bella-Kotchap(87% match) — A Physical Stopper. Statistically, he stands out as commanding in the air (7.0 clearances/90), reads the game exceptionally (2.5 interceptions/90), wins the physical battle (62% duel success), strong in aerial duels (3.0 aerials won/90) and a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up. Note: this profile is based on 622 minutes of playing time this season.

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