⬡ AI DNA · Live season

FC Groningen· 2025/2026 · Eredivisie · PARTIAL

Best Alternatives to Wouter Prins

Left BackNetherlands22yN/AFull profile →

Active Full-BackAerialSmall Sample

4.17Tkl/90

0.72KP/90

Based on 497 min · 2025/2026 · Eredivisie · PARTIAL

Ranked by AI DNA similarity — playing style, pressing, and tactical fit. Below: the closest replacements with per-90 stats and form.

DNA matchPrioritizes Eredivisie & top-tier peers

Top 3 alternatives to Wouter Prins

Niels van Berkel98% match
FC Eindhoven · Eredivisie
Djevencio van der Kust97% match
Heracles Almelo · Eredivisie
Tim Köther97% match
Roda JC Kerkrade · Eredivisie

Ranked by RT Player DNA + league/value credibility. Scroll for full list, per-90 stats, and share cards.

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Playing Style Analysis

Active Full-BackAerialSmall Sample

A Active Full-Back. Statistically, he stands out as a prolific assist provider (0.36 assists/90), an aggressive ball-winner (4.2 tackles/90), commanding in the air (5.6 clearances/90), wins the physical battle (55% duel success), penetrates with forward passing (8.3 final-third passes/90), wins the ball cleanly (2.5 successful tackles/90), uses long balls frequently (5.1/90), a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 497 minutes of playing time this season. The three closest DNA matches to Wouter Prins:

Niels van Berkel(98% match) — A Active Full-Back. Statistically, he stands out as a prolific assist provider (0.37 assists/90), an aggressive ball-winner (2.6 tackles/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (64% duel success) and top 10% tackler in the league.
Djevencio van der Kust(97% match) — A Active Full-Back. Statistically, he stands out as a reliable supplier (0.15 assists/90), an aggressive ball-winner (2.6 tackles/90), wins the ball cleanly (1.8 successful tackles/90) and active off the ball (2.6 press score/90), contributing to defensive transitions.
Tim Köther(97% match) — A Active Full-Back. Statistically, he stands out as an aggressive ball-winner (3.8 tackles/90), wins the physical battle (59% duel success), wins the ball cleanly (2.5 successful tackles/90) and active off the ball (2.6 press score/90), contributing to defensive transitions.

Similarity uses per-90 performance across playing-style dimensions. How Player DNA matching works →

Comparison Base

Wouter Prins

DefenderNetherlandsEredivisieN/A

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Similar Players — Ranked by DNA Similarity

Niels van Berkel

FC Eindhoven · Eredivisie

Netherlands24y

Tkl/902.70

KP/901.89

Active Full-BackSmall Sample

vs Prins: 2y older

98% match

N/A

Compare Prins vs Berkel →

Ask about replacements for Prins

Same DNA shortlist as above — budget fit, who to avoid, or why the top match works.

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Frequently Asked Questions

Who are the best alternatives to Wouter Prins?▼

The top alternatives to Wouter Prins based on AI DNA playing style analysis include: Niels van Berkel, Djevencio van der Kust, Tim Köther, Joakim Maehle, Travis Patterson. These players were matched using Rising Transfers' 768-dimension DNA model across playing style, pressing intensity, and tactical fit — not just position or market value.

Which players are similar to Wouter Prins in 2026?▼

Players with a similar profile to Wouter Prins in 2026 include Niels van Berkel (N/A), Djevencio van der Kust (N/A), Tim Köther (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Wouter Prins play and who plays similarly?▼

Wouter Prins plays as a Defender. Players with a comparable positional profile include Niels van Berkel (Netherlands, N/A); Djevencio van der Kust (Suriname, N/A); Tim Köther (Germany, N/A); Joakim Maehle (Denmark, €7.0M).

How does Rising Transfers find similar players?▼

Rising Transfers uses a proprietary 768-dimension Player DNA model trained on 3.2 million match events. Each player is represented as a vector across 35+ per-90 metrics including pressing intensity, passing footprint, dribbling profile, and defensive contribution. Similarity is measured using cosine distance — the same technique used in state-of-the-art AI systems — making it the most precise player comparison tool available publicly.

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