Best Alternatives to Zanka

Top 3 Alternatives to Zanka

1. 1.Jorge Herrando82% DNA match·Osasuna€3.5M
2. 2.Jorge Cuenca82% DNA match·Fulham€8.0M
3. 3.Niklas Stark82% DNA match·Werder Bremen€3.5M

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

Playing Style Analysis

Zanka operates as a high-volume circulation hub for a Tier C MLS side, acting less like a traditional midfield engine and more like a localized air traffic controller. While his 65.2 passes per 90 put him in the top 5% of the league for involvement, he is a safety-first technician rather than a visionary, evidenced by a chance creation rate that languishes in the bottom 10%. The counterintuitive reality of his profile lies in his defensive efficiency; despite a low pressing intensity, he is a statistical monster in 1v1 scenarios, winning 62.8% of his duels to rank among the league’s elite. The three most similar players to Zanka by playing style are:

• Jorge Herrando(82% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (5.8 clearances/90) and meticulous in distribution (88% pass accuracy). Note: this profile is based on 892 minutes of playing time this season.
• Jorge Cuenca(82% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (7.1 clearances/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (88% pass accuracy), heavily involved in possession (60 passes/90), central to possession (74 touches/90), uses long balls frequently (7.1/90) and active off the ball (2.3 press score/90), contributing to defensive transitions.
• Niklas Stark(82% match) — A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.9 tackles/90), commanding in the air (8.0 clearances/90), reads the game exceptionally (1.9 interceptions/90), meticulous in distribution (88% pass accuracy), wins the physical battle (62% duel success), central to possession (72 touches/90) and uses long balls frequently (6.1/90). Note: this profile is based on 573 minutes of playing time this season.

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