Best Alternatives to Jerdy Schouten

Top 3 Alternatives to Jerdy Schouten

1. 1.Kees Smit88% DNA match·AZ€22.0M
2. 2.Peer Koopmeiners87% DNA match·AZ€10.0M
3. 3.Luciano Valente85% DNA match·Feyenoord€18.0M

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

Playing Style Analysis

Schouten is the kind of midfielder who makes a team's possession game feel inevitable rather than effortful—a metronome who rarely wastes a touch and almost never wastes a pass. His 92.3% pass accuracy and 75.3 passes per 90 both sit in the Eredivisie's top five percent, meaning he isn't just accurate, he's relentlessly active with the ball. The 10.32 passes into the final third per 90 is the counterintuitive number here: for a player who reads as a deep-lying anchor, he's consistently threading the needle forward, ranking top ten in the league. The three most similar players to Jerdy Schouten by playing style are:

• Kees Smit(88% match) — A Box-to-Box. Statistically, he stands out as an elite creator (1.6 key passes/90), meticulous in distribution (88% pass accuracy), heavily involved in play (67 touches/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.6 dispossessed/90).
• Peer Koopmeiners(87% match) — A Ball-Winner. Statistically, he stands out as a capable chance creator (1.0 key passes/90), an aggressive ball-winner (3.3 tackles/90), wins the ball cleanly (2.0 successful tackles/90), heavily involved in play (61 touches/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% tackler in the league.
• Luciano Valente(85% match) — A Box-to-Box. Statistically, he stands out as an elite creator (1.7 key passes/90), a reliable supplier (0.22 assists/90), penetrates with forward passing (8.4 final-third passes/90), heavily involved in play (68 touches/90) 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 →