Best Alternatives to Julián Malatini

Top 3 Alternatives to Julián Malatini

1. 1.Daniel Elfadli87% DNA match·Hamburger SV€3.5M
2. 2.Chrislain Matsima86% DNA match·FC Augsburg€22.0M
3. 3.Waldemar Anton85% DNA match·Borussia Dortmund€18.0M

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 an aggressive ball-winner (2.7 tackles/90), commanding in the air (7.8 clearances/90), central to possession (78 touches/90), uses long balls frequently (5.3/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 493 minutes of playing time this season. The three most similar players to Julián Malatini by playing style are:

• Daniel Elfadli(87% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.3 clearances/90) and meticulous in distribution (93% pass accuracy).
• Chrislain Matsima(86% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.8 clearances/90), reads the game exceptionally (1.9 interceptions/90), meticulous in distribution (86% pass accuracy), wins the physical battle (65% duel success), uses long balls frequently (5.4/90) and active off the ball (2.7 press score/90), contributing to defensive transitions.
• Waldemar Anton(85% match) — A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.2 tackles/90), commanding in the air (6.0 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (70% duel success), heavily involved in possession (76 passes/90), penetrates with forward passing (10.2 final-third passes/90), central to possession (90 touches/90), dominant in the air (3.4 aerials won/90, 68%), uses long balls frequently (6.6/90) and active off the ball (2.6 press score/90), contributing to defensive transitions. Note: this profile is based on 720 minutes of playing time this season.

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