Best Alternatives to Jonas Svensson
Players most similar to Jonas Svensson (Defender, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Jonas Svensson
- 1.A. Andersson89% DNA match·Aalborg BK
- 2.Emil Christensen88% DNA match·B 93
- 3.Terence Kongolo86% DNA match·NAC Breda€4.4M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Intelligence Verdict
“A Ball-Playing CB....”
See Full Verdict + Share Card →Playing Style Analysis
A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.0 tackles/90), meticulous in distribution (85% pass accuracy), wins the physical battle (56% duel success) and central to possession (72 touches/90). The three most similar players to Jonas Svensson by playing style are:
- A. Andersson(89% match) — Adam Andersson is a Ball-Playing CB. Progressive defender comfortable on the ball. Statistically, he stands out as a capable chance creator (1.3 key passes/90), a reliable supplier (0.15 assists/90), active in the tackle (2.1 tackles/90) and wins the physical battle (58% duel success).
- Emil Christensen(88% match) — Emil Christensen is a Ball-Playing CB. Progressive defender comfortable on the ball. Statistically, he stands out as commanding in the air (6.5 clearances/90), meticulous in distribution (89% pass accuracy), wins the physical battle (68% duel success) and central to possession (71 touches/90). (Limited sample: 317 mins)
- Terence Kongolo(86% match) — A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.0 tackles/90), commanding in the air (6.0 clearances/90), reads the game exceptionally (2.1 interceptions/90), meticulous in distribution (87% pass accuracy), wins the physical battle (74% duel success), strong in aerial duels (3.2 aerials won/90) and active off the ball (2.0 press score/90), contributing to defensive transitions. Note: this profile is based on 878 minutes of playing time this season.
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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