Best Alternatives to Jan Repas

Playing Style Analysis

Repas operates as a specialized offensive hub in a Tier C landscape, functioning more as a shadow striker than a traditional central engine. While his 21.8 passes per 90 suggest a peripheral figure, his efficiency in the final third tells a sharper story; he ranks in the top 20% for shot volume and the top 30% for key passes, proving that when he does touch the ball, it usually results in a threat. The counterintuitive reality is that despite his 0.50 aerials won per 90—an above-average clip for his size—he is a liability in ground combat, losing nearly two-thirds of his duels. The three closest DNA matches to Jan Repas:

• Carlos Dotor(83% match) — A Box-to-Box. Statistically, he stands out as an elite creator (1.9 key passes/90), meticulous in distribution (86% pass accuracy), heavily involved in play (58 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 20% creator in the league.
• Federico Redondo(82% match) — Redondo is the quintessential "volume controller" whose surgical distribution and relentless defensive work rate suggest a player far more physically imposing than his duel success rate implies. Operating at a Tier C club, he is effectively the entire engine room, ranking in the top 5% for both passes per 90 (84.3) and tackles won (1.91), a rare statistical profile that combines the elegance of a deep-lying playmaker with the grit of a ball-winner.
• Maxime Lopez(82% match) — A Metronome. Statistically, he stands out as an elite creator (2.0 key passes/90), meticulous in distribution (89% pass accuracy), heavily involved in possession (78 passes/90), creates high-quality scoring opportunities (0.50 big chances/90), penetrates with forward passing (10.2 final-third passes/90), central to possession (91 touches/90), uses long balls frequently (5.9/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% creator in the league.

Similarity uses per-90 performance across playing-style dimensions. How Player DNA matching works →