⬡ AI DNA · Live season

Vélez Sarsfield· 2026 · Liga Profesional de Fútbol · PARTIAL

Best Alternatives to Diego Valdés

Attacking Midfield32y€2.8MFull profile →

CreatorCreativeSmall Sample

2.81KP/90

0.00G/90

0.59A/90

Based on 697 min · 2026 · Liga Profesional de Fútbol · PARTIAL

Ranked by AI DNA similarity — playing style, pressing, and tactical fit. Below: the closest replacements with per-90 stats and form.

Note: Top DNA style matches can come from lower leagues. We also surface Liga Profesional de Fútbol peers ranked by market value and league tier — scroll the full list below.

DNA matchDNA style match · see league & value below

Top 3 alternatives to Diego Valdés

Sofiane Boufal98% match
Le Havre · Ligue 1 · €6.0M
Romain Faivre97% match
Auxerre · Ligue 1 · €5.0M

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Playing Style Analysis

CreatorCreativeSmall Sample

A Creator. Statistically, he stands out as an elite creator (3.0 key passes/90), a prolific assist provider (0.65 assists/90), a dynamic dribbler (2.2/90), active in the tackle (1.9 tackles/90), creates high-quality scoring opportunities (0.90 big chances/90), heavily involved in play (69 touches/90) and top 10% creator in the league. Note: this profile is based on 697 minutes of playing time this season. The three closest DNA matches to Diego Valdés:

Sofiane Boufal(98% match) — A Creator. Statistically, he stands out as an elite creator (2.4 key passes/90), a prolific assist provider (0.38 assists/90), a dynamic dribbler (2.4/90), active in the tackle (2.2 tackles/90), creates high-quality scoring opportunities (0.56 big chances/90), heavily involved in play (58 touches/90), draws fouls effectively (2.7/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% creator in the league.
Romain Faivre(97% match) — A Creator. Statistically, he stands out as naturally left-footed, an elite creator (1.5 key passes/90), a prolific assist provider (0.31 assists/90), wins the physical battle (61% duel success), active off the ball (2.2 press score/90), contributing to defensive transitions and top 20% creator in the league.
Aarón Ochoa(98% match) — A Creator. Statistically, he stands out as an elite creator (3.1 key passes/90), a regular goalscorer (0.21 goals/90), a prolific assist provider (0.43 assists/90), heavily involved in play (61 touches/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% creator in the league.

Similarity uses per-90 performance across playing-style dimensions. How Player DNA matching works →

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Similar Players — Ranked by DNA Similarity

Le Havre · Ligue 1

CreatorCreativeSteady form

98% match

€6.0M

Compare Valdés vs Boufal →

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Same DNA shortlist as above — budget fit, who to avoid, or why the top match works.

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Frequently Asked Questions

Who are the best alternatives to Diego Valdés?▼

The top alternatives to Diego Valdés based on AI DNA playing style analysis include: Sofiane Boufal, Romain Faivre, Aarón Ochoa, Iván Corralejo, Jamal Musiala. 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 Diego Valdés in 2026?▼

Players with a similar profile to Diego Valdés in 2026 include Sofiane Boufal (€6.0M), Romain Faivre (€5.0M), Aarón Ochoa (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Diego Valdés play and who plays similarly?▼

Diego Valdés plays as a Midfielder. Players with a comparable positional profile include Sofiane Boufal (Morocco, €6.0M); Romain Faivre (France, €5.0M); Aarón Ochoa (Spain, N/A); Iván Corralejo (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.

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