⬡ AI DNA · Live season

Grêmio· 2025 · Serie A · PARTIAL

Best Alternatives to Riquelme

Attacking Midfield19y€2.0MFull profile →

Ball-WinnerSmall Sample

1.44KP/90

0.00G/90

0.00A/90

Based on 376 min · 2025 · Serie A · PARTIAL

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

DNA matchPrioritizes Serie A & top-tier peers

Top 3 alternatives to Riquelme

Nico Paz80% match
Como · Serie A · €65.0M
Charles De Ketelaere80% match
Atalanta · Serie A · €35.0M
Martin Baturina80% match
Como · Serie A · €30.0M

Ranked by RT Player DNA + league/value credibility. Scroll for full list, per-90 stats, and share cards.

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Playing Style Analysis

Ball-WinnerSmall Sample

Riquelme is a high-volume ball-carrier operating as a technical outlier within a Tier C Serie A side, functioning more as a localized escape valve than a traditional midfield engine. While his 38.8 passes per match suggest a standard involvement level, his 2.63 dribbles per 90—placing him in the elite top 5% of the league—reveal a player who prefers to solve problems with his feet rather than his eyes. The counterintuitive insight lies in his 50% aerial win rate; despite his flair, he is surprisingly robust in the air, ranking in the top 30% for aerials won. The three closest DNA matches to Riquelme:

Nico Paz(80% match) — A Creator. Statistically, he stands out as naturally left-footed, an elite creator (1.6 key passes/90), a constant goal threat (3.8 shots/90), a regular goalscorer (0.37 goals/90), a reliable supplier (0.19 assists/90), a dynamic dribbler (2.1/90), an aggressive ball-winner (2.8 tackles/90), heavily involved in play (66 touches/90), active off the ball (2.5 press score/90), contributing to defensive transitions, top 20% creator in the league and top 10% tackler in the league.
Charles De Ketelaere(80% match) — De Ketelaere is the rare midfielder who can unlock a defence with a dribble or a disguised pass, yet leave you genuinely anxious every time the opposition has the ball. His key pass rate sits in Serie A's top 5% among midfielders—a number that reflects not just volume but consistent quality in the most dangerous corridors of the pitch.
Martin Baturina(80% match) — A Creator. Statistically, he stands out as an elite creator (3.6 key passes/90), a regular goalscorer (0.34 goals/90), a reliable supplier (0.17 assists/90), meticulous in distribution (88% pass accuracy), heavily involved in play (67 touches/90), draws fouls effectively (2.5/90), active off the ball (2.2 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

Nico Paz

Como · Serie A

Argentina21yContract 2028

KP/901.59

G/900.37

CreatorCreativeSteady form

vs Riquelme: €63M more expensive · 2y older

80% match

€65.0M

Ask about replacements for Riquelme

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 Riquelme?▼

The top alternatives to Riquelme based on AI DNA playing style analysis include: Nico Paz, Charles De Ketelaere, Martin Baturina, Antonio Vergara, Jens Odgaard. 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 Riquelme in 2026?▼

Players with a similar profile to Riquelme in 2026 include Nico Paz (€65.0M), Charles De Ketelaere (€35.0M), Martin Baturina (€30.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Riquelme play and who plays similarly?▼

Riquelme plays as a Midfielder. Players with a comparable positional profile include Nico Paz (Argentina, €65.0M); Charles De Ketelaere (Belgium, €35.0M); Martin Baturina (Croatia, €30.0M); Antonio Vergara (Italy, €15.0M).

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.

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