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AI DNA Similarity

Best Alternatives to Jorginho

Players most similar to Jorginho (Midfielder, €5.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Jorginho

  1. 1.Mikkel Wohlgemuth89% DNA match·B 93
  2. 2.Magnus Saaby88% DNA match·Kolding IF
  3. 3.Simon Bækgård88% DNA match·Aarhus Fremad

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

Jorge Luiz Frello Filho is a Metronome....

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Playing Style Analysis

Metronome

Jorge Luiz Frello Filho is a Metronome. Possession anchor who dictates tempo. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a regular goalscorer (0.20 goals/90), reads the game exceptionally (1.5 interceptions/90), meticulous in distribution (91% pass accuracy), heavily involved in possession (92 passes/90), penetrates with forward passing (14.2 final-third passes/90) and central to possession (103 touches/90). The three most similar players to Jorginho by playing style are:

  • Mikkel Wohlgemuth(89% match)A Metronome. Statistically, he stands out as a proven goalscorer (0.46 goals/90), meticulous in distribution (87% pass accuracy), wins the physical battle (56% duel success), heavily involved in possession (76 passes/90), penetrates with forward passing (9.8 final-third passes/90), central to possession (91 touches/90), uses long balls frequently (6.5/90) and active off the ball (2.9 press score/90), contributing to defensive transitions.
  • Magnus Saaby(88% match)A Metronome. Statistically, he stands out as a capable chance creator (1.2 key passes/90), reads the game exceptionally (1.9 interceptions/90), meticulous in distribution (87% pass accuracy), heavily involved in possession (63 passes/90), penetrates with forward passing (9.2 final-third passes/90), central to possession (79 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions.
  • Simon Bækgård(88% match)A Metronome. Statistically, he stands out as meticulous in distribution (87% pass accuracy), wins the physical battle (55% duel success), heavily involved in possession (63 passes/90), penetrates with forward passing (8.3 final-third passes/90), central to possession (78 touches/90) and uses long balls frequently (6.5/90).

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

J
Comparison Base
Jorginho
MidfielderItaly€5.0M
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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 Jorginho.

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Frequently Asked Questions

Who are the best alternatives to Jorginho?
The top alternatives to Jorginho based on AI DNA playing style analysis include: Mikkel Wohlgemuth, Magnus Saaby, Simon Bækgård, Manu Molina, Nicolai Poulsen. 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 Jorginho in 2026?
Players with a similar profile to Jorginho in 2026 include Mikkel Wohlgemuth (N/A), Magnus Saaby (N/A), Simon Bækgård (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jorginho play and who plays similarly?
Jorginho plays as a Midfielder. Players with a comparable positional profile include Mikkel Wohlgemuth (Denmark, N/A); Magnus Saaby (Denmark, N/A); Simon Bækgård (Denmark, N/A); Manu Molina (Spain, 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.