Best Alternatives to Leonardo Bovio

Playing Style Analysis

A Ball-Playing CB. Statistically, he stands out as a capable chance creator (1.0 key passes/90), a regular goalscorer (0.33 goals/90), commanding in the air (8.5 clearances/90), meticulous in distribution (89% pass accuracy), wins the physical battle (69% duel success), heavily involved in possession (65 passes/90), central to possession (81 touches/90) and uses long balls frequently (8.7/90). Note: this profile is based on 540 minutes of playing time this season. The three closest DNA matches to Leonardo Bovio:

• Jan Paul van Hecke(99% match) — A Ball-Playing CB. Statistically, he stands out as a capable chance creator (1.0 key passes/90), a regular goalscorer (0.20 goals/90), commanding in the air (4.8 clearances/90), meticulous in distribution (91% pass accuracy), wins the physical battle (60% duel success), heavily involved in possession (88 passes/90), penetrates with forward passing (12.4 final-third passes/90), central to possession (103 touches/90), dominant in the air (4.0 aerials won/90, 66%) and switches play with precision (5.8 long balls/90, 65% accuracy).
• Marc Guéhi(99% match) — A Ball-Playing CB. Statistically, he stands out as meticulous in distribution (94% pass accuracy), wins the physical battle (68% duel success), heavily involved in possession (86 passes/90), penetrates with forward passing (9.5 final-third passes/90) and central to possession (97 touches/90).
• James Hill(99% match) — A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (2.5 tackles/90), commanding in the air (6.4 clearances/90), reads the game exceptionally (1.7 interceptions/90), wins the physical battle (66% duel success), penetrates with forward passing (12.9 final-third passes/90), central to possession (74 touches/90), dominant in the air (4.0 aerials won/90, 67%), uses long balls frequently (12.9/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.

Similarity uses per-90 performance across playing-style dimensions. How Player DNA matching works →