RisingTransfers
AI DNA Similarity

Best Alternatives to Thomas Jørgensen

Players most similar to Thomas Jørgensen (Midfielder, €600K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Thomas Jørgensen

  1. 1.Emilio Simonsen98% DNA match·Fredericia
  2. 2.Walid Ould-Chikh97% DNA match·Heracles Almelo
  3. 3.Dani Rodríguez97% DNA match·Mallorca

Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.

RT

Intelligence Verdict

Press IntensityTop 4%

A Creator....

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Playing Style Analysis

CreatorCreativeDefensive

A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a prolific assist provider (0.29 assists/90), an aggressive ball-winner (3.3 tackles/90), creates high-quality scoring opportunities (0.61 big chances/90), wins the ball cleanly (1.8 successful tackles/90), heavily involved in play (66 touches/90), a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up, top 10% creator in the league and top 10% tackler in the league. However, he loses possession under pressure (1.8 dispossessed/90). The three most similar players to Thomas Jørgensen by playing style are:

  • Emilio Simonsen(98% match)A Creator. Statistically, he stands out as an elite creator (2.1 key passes/90), a prolific assist provider (0.29 assists/90), active in the tackle (2.3 tackles/90), heavily involved in play (54 touches/90), active off the ball (2.4 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (1.6 dispossessed/90) and prone to committing fouls (2.5/90).
  • Walid Ould-Chikh(97% match)A Creator. Statistically, he stands out as an elite creator (1.6 key passes/90), a prolific assist provider (0.25 assists/90), active in the tackle (2.5 tackles/90), wins the physical battle (60% duel success), draws fouls effectively (2.7/90), uses long balls frequently (5.0/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.
  • Dani Rodríguez(97% match)A Creator. Statistically, he stands out as a capable chance creator (1.4 key passes/90), a prolific assist provider (0.29 assists/90), active in the tackle (2.0 tackles/90) and creates high-quality scoring opportunities (0.62 big chances/90). However, he loses possession under pressure (1.9 dispossessed/90).

Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →

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Comparison Base
Thomas Jørgensen
MidfielderDenmark€600K
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Similar Players — Ranked by DNA Similarity

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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 Thomas Jørgensen.

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Frequently Asked Questions

Who are the best alternatives to Thomas Jørgensen?
The top alternatives to Thomas Jørgensen based on AI DNA playing style analysis include: Emilio Simonsen, Walid Ould-Chikh, Dani Rodríguez, Noel Aseko, Luca Marseiler. 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 Thomas Jørgensen in 2026?
Players with a similar profile to Thomas Jørgensen in 2026 include Emilio Simonsen (N/A), Walid Ould-Chikh (N/A), Dani Rodríguez (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Thomas Jørgensen play and who plays similarly?
Thomas Jørgensen plays as a Midfielder. Players with a comparable positional profile include Emilio Simonsen (Denmark, N/A); Walid Ould-Chikh (Netherlands, N/A); Dani Rodríguez (Spain, N/A); Noel Aseko (Germany, 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.