Best Alternatives to Mats Deijl
Players most similar to Mats Deijl (Defender, €2.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Mats Deijl
- 1.Mees de Wit89% DNA match·AZ€4.5M
- 2.Mitchell Dijks85% DNA match·Thép Xanh Nam Định
- 3.Jordan Bos85% DNA match·Feyenoord€5.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Intelligence Verdict
“A Active Full-Back....”
See Full Verdict + Share Card →Playing Style Analysis
A Active Full-Back. Statistically, he stands out as a reliable supplier (0.16 assists/90), wins the physical battle (68% duel success), draws fouls effectively (2.0/90) and uses long balls frequently (5.6/90). The three most similar players to Mats Deijl by playing style are:
- Mees de Wit(89% match) — A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.1 key passes/90), a reliable supplier (0.22 assists/90), active in the tackle (2.3 tackles/90), uses long balls frequently (5.5/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.
- Mitchell Dijks(85% match) — A Physical Stopper. Statistically, he stands out as a prolific assist provider (0.26 assists/90) and active in the tackle (2.0 tackles/90). Note: this profile is based on 688 minutes of playing time this season.
- Jordan Bos(85% match) — A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (1.6 key passes/90), a prolific assist provider (0.32 assists/90), an aggressive ball-winner (3.1 tackles/90), meticulous in distribution (85% pass accuracy), wins the physical battle (57% duel success), wins the ball cleanly (2.1 successful tackles/90), central to possession (75 touches/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 10% tackler in the league.
Transfer Intelligence
Mees de Wit delivers 89% of the same playing style, at a 125% premium over Mats Deijl, with 2.28 tackles won per 90 at age 28.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
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