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⬡ AI DNA · Live season
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Best Alternatives to Kervin Arriaga

Defensive MidfieldHonduras28y€500KFull profile →
Box-to-Box
0.41KP/90
0.18G/90
0.18A/90

Based on 1,528 min · 2025/2026 · La Liga · PARTIAL

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

DNA matchPrioritizes La Liga & top-tier peers

Top 3 alternatives to Kervin Arriaga

  1. Luismi Sánchez98% match

    Málaga · La Liga

  2. Aurélien Tchouaméni80% match

    Real Madrid · La Liga · €75.0M

  3. Marc Casadó80% match

    FC Barcelona · La Liga · €25.0M

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

Box-to-Box

A Box-to-Box. Statistically, he stands out as a reliable supplier (0.18 assists/90), active in the tackle (2.4 tackles/90), wins the physical battle (58% duel success), heavily involved in play (59 touches/90) and active off the ball (2.8 press score/90), contributing to defensive transitions. The three closest DNA matches to Kervin Arriaga:

  • Luismi Sánchez(98% match) A Box-to-Box. Statistically, he stands out as active in the tackle (2.3 tackles/90), wins the physical battle (57% duel success), heavily involved in play (58 touches/90), switches play with precision (5.8 long balls/90, 72% accuracy) and active off the ball (2.5 press score/90), contributing to defensive transitions.
  • Aurélien Tchouaméni(80% match) A Metronome. Statistically, he stands out as active in the tackle (2.3 tackles/90), reads the game exceptionally (1.7 interceptions/90), meticulous in distribution (92% pass accuracy), wins the physical battle (68% duel success), heavily involved in possession (66 passes/90), penetrates with forward passing (9.7 final-third passes/90), central to possession (79 touches/90) and active off the ball (2.9 press score/90), contributing to defensive transitions.
  • Marc Casadó(80% match) A Metronome. Statistically, he stands out as a capable chance creator (1.3 key passes/90), meticulous in distribution (91% pass accuracy), heavily involved in possession (82 passes/90) and central to possession (96 touches/90).

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

Comparison Base
Kervin Arriaga
MidfielderHondurasLa Liga€500K

Similar Players — Ranked by DNA Similarity

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Top 8 shown first · 16 total ranked by DNA + league fit.

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Download RT stat cards for Kervin Arriaga vs Luismi Sánchez, Aurélien Tchouaméni, and Marc Casadó. Post to X or WhatsApp — DNA + season totals from RT.

Kervin Arriaga RT player card

Source · Kervin Arriaga

Luismi Sánchez RT player card

Alt · Luismi Sánchez

Aurélien Tchouaméni RT player card

Alt · Aurélien Tchouaméni

Marc Casadó RT player card

Alt · Marc Casadó

Want a deeper take? Scroll to Ask RT below — same shortlist, multi-turn chat.

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Frequently Asked Questions

Who are the best alternatives to Kervin Arriaga?
The top alternatives to Kervin Arriaga based on AI DNA playing style analysis include: Luismi Sánchez, Aurélien Tchouaméni, Marc Casadó, Samú Costa, Jon Gorrotxategi. 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 Kervin Arriaga in 2026?
Players with a similar profile to Kervin Arriaga in 2026 include Luismi Sánchez (N/A), Aurélien Tchouaméni (€75.0M), Marc Casadó (€25.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Kervin Arriaga play and who plays similarly?
Kervin Arriaga plays as a Midfielder. Players with a comparable positional profile include Luismi Sánchez (Spain, N/A); Aurélien Tchouaméni (France, €75.0M); Marc Casadó (Spain, €25.0M); Samú Costa (Portugal, €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.