Best Alternatives to Karim Rekik

Top 3 Alternatives to Karim Rekik

1. 1.Chadi Riad85% DNA match·Crystal Palace€12.0M
2. 2.Vitor Reis83% DNA match·Girona€30.0M
3. 3.Facundo Medina84% DNA match·Olympique Marseille€18.0M

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

Playing Style Analysis

Rekik is the quintessential European-schooled technician currently moonlighting as a defensive metronome in the Gulf, operating with a level of ball security that verges on the obsessive. Completing 92.9% of his passes while averaging a high-volume 67.2 attempts per 90, he isn’t just recycling possession; he is dictating the tempo from deep in a league where such composure is a luxury. While his duel success rate sits comfortably above the league average at 59.2%, the data hides a startling passivity: his 0.63 interceptions per 90 suggest a defender who prefers to shadow rather than hunt, relying on positioning over raw aggression. The three most similar players to Karim Rekik by playing style are:

• Chadi Riad(85% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (4.4 clearances/90), meticulous in distribution (90% pass accuracy) and wins the physical battle (58% duel success).
• Vitor Reis(83% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.6 clearances/90), meticulous in distribution (90% pass accuracy) and wins the physical battle (59% duel success).
• Facundo Medina(84% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, reads the game exceptionally (2.1 interceptions/90), meticulous in distribution (94% pass accuracy), heavily involved in possession (77 passes/90), penetrates with forward passing (10.8 final-third passes/90), central to possession (91 touches/90) and active off the ball (2.8 press score/90), contributing to defensive transitions. Note: this profile is based on 467 minutes of playing time this season.

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