RisingTransfers
AI DNA Similarity

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. 1.M. Due Grandt98% DNA match·Hillerød
  2. 2.Alessandro De Vitis98% DNA match·Rimini
  3. 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

Box-to-BoxSmall Sample

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 →

K
Comparison Base
Kevin Höög Jansson
MidfielderSweden€505K
Full profile →

Similar Players — Ranked by DNA Similarity

Ask AI: Why are these players similar?

Our 768-dimension Player DNA model matches playing style, physical profile, pressing intensity, and tactical fit. Ask the AI to explain exactly what makes these players statistically similar to Kevin Höög Jansson.

Ask AI about Kevin Höög Jansson

Frequently Asked Questions

Who are the best alternatives to Kevin Höög Jansson?
The top alternatives to Kevin Höög Jansson based on AI DNA playing style analysis include: M. Due Grandt, Alessandro De Vitis, Alex Plat, T. Antalyalı, Yassir Salah Rahmouni. 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 Kevin Höög Jansson in 2026?
Players with a similar profile to Kevin Höög Jansson in 2026 include M. Due Grandt (N/A), Alessandro De Vitis (N/A), Alex Plat (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Kevin Höög Jansson play and who plays similarly?
Kevin Höög Jansson plays as a Midfielder. Players with a comparable positional profile include M. Due Grandt (Denmark, N/A); Alessandro De Vitis (Italy, N/A); Alex Plat (Netherlands, N/A); T. Antalyalı (Turkey, N/A).
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.