Best Alternatives to Lazar Samardžić

Top 3 Alternatives to Lazar Samardžić

1. 1.Sandi Lovrić86% DNA match·Hellas Verona€6.0M
2. 2.Filip Kostić86% DNA match·Juventus€3.5M
3. 3.Suat Serdar86% DNA match·Hellas Verona€4.5M

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

Playing Style Analysis

A Creator. Statistically, he stands out as naturally left-footed, an elite creator (2.5 key passes/90), a reliable supplier (0.23 assists/90), central to possession (71 touches/90), switches play with precision (6.1 long balls/90, 80% accuracy) and top 10% creator in the league. However, he loses possession under pressure (2.0 dispossessed/90). The three most similar players to Lazar Samardžić by playing style are:

• Sandi Lovrić(86% match) — A Creator. Statistically, he stands out as a capable chance creator (1.2 key passes/90), active in the tackle (1.9 tackles/90), meticulous in distribution (85% pass accuracy), heavily involved in play (52 touches/90) and active off the ball (2.3 press score/90), contributing to defensive transitions.
• Filip Kostić(86% match) — A Creator. Statistically, he stands out as naturally left-footed, an elite creator (1.9 key passes/90), a proven goalscorer (0.59 goals/90), a reliable supplier (0.20 assists/90), an aggressive ball-winner (3.3 tackles/90), wins the physical battle (58% duel success), wins the ball cleanly (1.9 successful tackles/90), central to possession (77 touches/90), active off the ball (3.0 press score/90), contributing to defensive transitions, top 10% creator in the league and top 10% tackler in the league. Note: this profile is based on 461 minutes of playing time this season.
• Suat Serdar(86% match) — A Box-to-Box. Statistically, he stands out as active in the tackle (2.3 tackles/90), penetrates with forward passing (8.9 final-third passes/90), heavily involved in play (50 touches/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. Note: this profile is based on 543 minutes of playing time this season.

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