Best Alternatives to Petar Sučić

Top 3 Alternatives to Petar Sučić

1. 1.Nikola Vlašić88% DNA match·Torino€9.0M
2. 2.Luka Sucic88% DNA match·Real Sociedad€10.0M
3. 3.Mario Pašalić88% DNA match·Atalanta€7.0M

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

Playing Style Analysis

Sučić has quietly built a case as one of Serie A's more quietly effective midfield operators — a Croatian with a continental pedigree who does more with the ball than his modest goal contributions suggest. His 52.2 passes per 90 places him in the league's top 20%, and that volume carries real quality: 87.9% accuracy, 6.36 progressive passes into the final third, and 1.50 key passes per 90 all land in the top tier. Here's the counterintuitive part — his 1.09 tackles won per 90 sits in the top 30%, yet his overall duel win rate is below average, meaning he picks his battles intelligently rather than throwing himself into everything. The three most similar players to Petar Sučić by playing style are:

• Nikola Vlašić(88% match) — A Creator. Statistically, he stands out as an elite creator (1.6 key passes/90), a regular goalscorer (0.20 goals/90), active in the tackle (1.9 tackles/90), heavily involved in play (50 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions.
• Luka Sucic(88% match) — A Balanced Midfielder. Statistically, he stands out as naturally left-footed, a capable chance creator (1.0 key passes/90) and heavily involved in play (52 touches/90). However, he loses possession under pressure (1.7 dispossessed/90).
• Mario Pašalić(88% 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.

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