RisingTransfers
AI DNA Similarity

Best Alternatives to Mattéo Guendouzi

Players most similar to Mattéo Guendouzi (Midfielder, €28.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Mattéo Guendouzi

  1. 1.Matheus Uribe87% DNA match·Atlético Nacional€9.5M
  2. 2.Geoffrey Kondogbia87% DNA match·Olympique Marseille€8.0M
  3. 3.Magnus Saaby85% DNA match·Kolding IF

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

RT

Intelligence Verdict

InterceptionsTop 20%
???Bottom 10%

Mattéo Guendouzi Olié is a Metronome....

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Playing Style Analysis

MetronomeSmall Sample

Mattéo Guendouzi Olié is a Metronome. Possession anchor who dictates tempo. Statistically, he stands out as reads the game exceptionally (1.8 interceptions/90), meticulous in distribution (91% pass accuracy) and heavily involved in play (69 touches/90). The three most similar players to Mattéo Guendouzi by playing style are:

  • Matheus Uribe(87% match)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).
  • Geoffrey Kondogbia(87% match)A Ball-Winner. Statistically, he stands out as naturally left-footed, an aggressive ball-winner (2.7 tackles/90), meticulous in distribution (93% pass accuracy), wins the physical battle (68% duel success), heavily involved in possession (79 passes/90) and central to possession (92 touches/90).
  • Magnus Saaby(85% 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.

Transfer Intelligence

Matheus Uribe delivers 87% of the same playing style, at 66% lower cost (€9.5M vs €28.0M), with 0.70 key passes per 90 at age 35.

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

M
Comparison Base
Mattéo Guendouzi
MidfielderFrance€28.0M
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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 Mattéo Guendouzi.

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Frequently Asked Questions

Who are the best alternatives to Mattéo Guendouzi?
The top alternatives to Mattéo Guendouzi based on AI DNA playing style analysis include: Matheus Uribe, Geoffrey Kondogbia, Magnus Saaby, Stephen Eustaquio, Seko Fofana. 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 Mattéo Guendouzi in 2026?
Players with a similar profile to Mattéo Guendouzi in 2026 include Matheus Uribe (€9.5M), Geoffrey Kondogbia (€8.0M), Magnus Saaby (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mattéo Guendouzi play and who plays similarly?
Mattéo Guendouzi plays as a Midfielder. Players with a comparable positional profile include Matheus Uribe (Colombia, €9.5M); Geoffrey Kondogbia (Central African Republic, €8.0M); Magnus Saaby (Denmark, N/A); Stephen Eustaquio (Canada, €7.0M).
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.