RisingTransfers
AI DNA Similarity

Best Alternatives to Matheus Uribe

Players most similar to Matheus Uribe (Midfielder, €9.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Matheus Uribe

  1. 1.Stephen Eustaquio87% DNA match·Los Angeles FC€7.0M
  2. 2.Magnus Saaby87% DNA match·Kolding IF
  3. 3.Manu Molina86% DNA match·Eldense

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

RT

Intelligence Verdict

InterceptionsTop 3%
???Bottom 0%

A Metronome....

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Playing Style Analysis

MetronomeDefensive

A Metronome. Statistically, he stands out as an aggressive ball-winner (2.7 tackles/90), reads the game exceptionally (1.9 interceptions/90), meticulous in distribution (85% pass accuracy), wins the physical battle (56% duel success) and heavily involved in possession (62 passes/90). The three most similar players to Matheus Uribe by playing style are:

  • Stephen Eustaquio(87% match)A Metronome. Statistically, he stands out as active in the tackle (2.5 tackles/90), meticulous in distribution (89% pass accuracy), heavily involved in possession (65 passes/90), creates high-quality scoring opportunities (0.57 big chances/90) and central to possession (78 touches/90).
  • Magnus Saaby(87% 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.
  • Manu Molina(86% match)A Metronome. Statistically, he stands out as a capable chance creator (1.2 key passes/90), wins the physical battle (60% duel success), heavily involved in possession (64 passes/90), central to possession (79 touches/90) and switches play with precision (9.3 long balls/90, 70% accuracy).

Transfer Intelligence

Stephen Eustaquio delivers 87% of the same playing style, at 26% lower cost (€7.0M vs €9.5M), with 0.84 key passes per 90 at age 29.

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

M
Comparison Base
Matheus Uribe
MidfielderColombia€9.5M
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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 Matheus Uribe.

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Frequently Asked Questions

Who are the best alternatives to Matheus Uribe?
The top alternatives to Matheus Uribe based on AI DNA playing style analysis include: Stephen Eustaquio, Magnus Saaby, Manu Molina, Geoffrey Kondogbia, Simon Bækgård. 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 Matheus Uribe in 2026?
Players with a similar profile to Matheus Uribe in 2026 include Stephen Eustaquio (€7.0M), Magnus Saaby (N/A), Manu Molina (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Matheus Uribe play and who plays similarly?
Matheus Uribe plays as a Midfielder. Players with a comparable positional profile include Stephen Eustaquio (Canada, €7.0M); Magnus Saaby (Denmark, N/A); Manu Molina (Spain, N/A); Geoffrey Kondogbia (Central African Republic, €8.0M).
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.