Best Alternatives to Kevin Höög Jansson
Players most similar to Kevin Höög Jansson (Midfielder, €505K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Kevin Höög Jansson
- 1.M. Due Grandt98% DNA match·Hillerød
- 2.Alessandro De Vitis98% DNA match·Rimini
- 3.Alex Plat98% DNA match·FC Volendam
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Box-to-Box. Statistically, he stands out as active in the tackle (1.9 tackles/90), wins the physical battle (58% duel success), heavily involved in play (52 touches/90), uses long balls frequently (5.6/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. Note: this profile is based on 792 minutes of playing time this season. The three most similar players to Kevin Höög Jansson by playing style are:
- M. Due Grandt(98% match) — A Box-to-Box. Statistically, he stands out as reads the game exceptionally (1.7 interceptions/90), wins the physical battle (56% duel success), penetrates with forward passing (9.3 final-third passes/90), heavily involved in play (66 touches/90), uses long balls frequently (5.9/90) and active off the ball (2.9 press score/90), contributing to defensive transitions. Note: this profile is based on 705 minutes of playing time this season.
- Alessandro De Vitis(98% match) — A Box-to-Box. Statistically, he stands out as a reliable supplier (0.19 assists/90), active in the tackle (2.3 tackles/90), reads the game exceptionally (2.3 interceptions/90) and wins the physical battle (68% duel success). Note: this profile is based on 476 minutes of playing time this season.
- Alex Plat(98% match) — A Box-to-Box. Statistically, he stands out as active in the tackle (1.9 tackles/90), reads the game exceptionally (2.3 interceptions/90), heavily involved in play (56 touches/90) and a high-intensity presser (press score 3.8/90), constantly disrupting opposition build-up. Note: this profile is based on 585 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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