Best Alternatives to Ivan Ilić

Top 3 Alternatives to Ivan Ilić

1. 1.Mario Pašalić87% DNA match·Atalanta€7.0M
2. 2.Sandi Lovrić87% DNA match·Hellas Verona€6.0M
3. 3.Saša Lukić86% DNA match·Fulham€12.0M

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

Playing Style Analysis

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. The three most similar players to Ivan Ilić by playing style are:

• Mario Pašalić(87% match) — Pašalić has quietly become one of Serie A's most efficient midfield connectors — a player whose value lives entirely in the spaces between the headlines. His pass accuracy sits in the top 10% of the league, but the more telling number is his 64 passes per 90, which ranks in the top 5% — this isn't a man recycling possession sideways, it's a midfielder who genuinely orchestrates. His 0.22 assists per 90 (top 10%) confirms the end product follows the volume.
• Sandi Lovrić(87% 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.
• Saša Lukić(86% match) — A Box-to-Box. Statistically, he stands out as a capable chance creator (1.5 key passes/90), active in the tackle (2.4 tackles/90), meticulous in distribution (85% pass accuracy), heavily involved in play (54 touches/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. However, he prone to committing fouls (2.7/90).

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