Best Alternatives to Jordan Lotomba

Top 3 Alternatives to Jordan Lotomba

1. 1.Gijs Smal86% DNA match·Feyenoord€6.0M
2. 2.Jeremie Frimpong86% DNA match·Liverpool€38.0M
3. 3.Arthur Zagré86% DNA match·Excelsior€10.0M

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

Playing Style Analysis

Lotomba is the kind of full-back who quietly does enough in five different departments without fully owning any of them—a profile that sounds damning until you look at the league context. His 88.5% pass accuracy lands in the top 30% of Eredivisie defenders, and his assist rate per 90 sits in the top 20%, suggesting a genuine threat in transition despite a dribble count that also cracks that same elite bracket. Here's the counterintuitive part: his suspiciously low passes-per-90 figure—bottom 10% in the league—likely reflects positional role and game state rather than technical limitation, given how clean his accuracy numbers are when he does receive. The three most similar players to Jordan Lotomba by playing style are:

• Gijs Smal(86% match) — A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (1.6 key passes/90), active in the tackle (2.2 tackles/90), wins the physical battle (68% duel success), penetrates with forward passing (10.4 final-third passes/90), central to possession (76 touches/90) and active off the ball (2.4 press score/90), contributing to defensive transitions. Note: this profile is based on 845 minutes of playing time this season.
• Jeremie Frimpong(86% match) — A Active Full-Back. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a reliable supplier (0.18 assists/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.
• Arthur Zagré(86% match) — A Active Full-Back. Statistically, he stands out as active in the tackle (2.1 tackles/90), wins the physical battle (55% duel success) and a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up.

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