Best Alternatives to Aleksandar Stanković

Top 3 Alternatives to Aleksandar Stanković

1. 1.Anton Stach84% DNA match·Leeds United€20.0M
2. 2.Lazar Samardžić84% DNA match·Atalanta€15.0M
3. 3.Ivan Ilić84% DNA match·Torino€10.0M

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

Playing Style Analysis

A Ball-Winner. Statistically, he stands out as a capable chance creator (1.0 key passes/90), meticulous in distribution (86% pass accuracy), heavily involved in play (66 touches/90), uses long balls frequently (6.0/90) and active off the ball (2.4 press score/90), contributing to defensive transitions. The three most similar players to Aleksandar Stanković by playing style are:

• Anton Stach(84% match) — A Box-to-Box. Statistically, he stands out as an elite creator (2.5 key passes/90), a regular goalscorer (0.20 goals/90), active in the tackle (2.4 tackles/90), heavily involved in play (58 touches/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% creator in the league.
• Lazar Samardžić(84% match) — 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).
• Ivan Ilić(84% match) — Ilić is the kind of midfielder who makes the game look slower than it is—not because he's languid, but because he's almost always in the right place before the problem arrives. His interceptions and key passes both sit in the top 20% of Serie A midfielders, a rare pairing that signals genuine two-way intelligence rather than a specialist's one-trick value. Here's the counterintuitive part: his duel win rate sits in the bottom 10%, which looks damning until you realize that a midfielder winning this many interceptions rarely needs to win duels—he's already cut the pass off.

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