Best Alternatives to Vasyl Kravets

Top 3 Alternatives to Vasyl Kravets

1. 1.Emanuele Valeri83% DNA match·Parma€3.0M
2. 2.Veljko Milosavljevic82% DNA match·AFC Bournemouth€20.0M
3. 3.Dimitrije Kamenovic82% DNA match·Lazio€3.0M

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

Playing Style Analysis

Kravets operates as a low-volume defensive specialist whose statistical footprint suggests a player trapped in a system that refuses to utilize him. In a Tier C environment where defenders are typically expected to cycle possession, his output of 0.9 passes per 90 is staggeringly low, placing him in the bottom decile of the league and indicating a total lack of involvement in build-up play. While a 75% pass accuracy seems pedestrian, the counterintuitive reality is that Kravets isn't necessarily a poor distributor; rather, he is likely being used as a pure "firefighter" who clears danger rather than initiating play, resulting in high-risk, low-reward touches. The three most similar players to Vasyl Kravets by playing style are:

• Emanuele Valeri(83% match) — A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (1.6 key passes/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.
• Veljko Milosavljevic(82% match) — Milosavljevic is the kind of defender who wins games through the pass rather than the tackle—a ball-playing centre-back whose value lives in the build-up phase, not the trenches. His passes into the final third rank in the top 20% of Premier League defenders, and his volume of 46.6 passes per 90 places him above most peers in possession-based systems. Here's the counterintuitive part: his aerial win *rate* sits below average, yet his aerial *volume* lands in the top 30%—he's contesting more duels than most, just not winning them cleanly.
• Dimitrije Kamenovic(82% match) — A Active Full-Back. Statistically, he stands out as commanding in the air (5.6 clearances/90) and uses long balls frequently (7.9/90). Note: this profile is based on 581 minutes of playing time this season.

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