Análisis del Mazo Yidris, Maelstrom Wielder
Este mazo de Yidris, Maelstrom Wielder (Non-White) ha sido analizado por Rate My Decks y ha obtenido una puntuación de poder de 5.9/10, ubicándose en el Bracket 2. El mazo contiene 99 cartas con 36 tierras y un valor de maná promedio de 4.0.
Entre sus fortalezas destacan: Yidris, Maelstrom Wielder sits in a fast shell — 4 fast mana pieces and an average MV of 4.03 mean it can deploy threats and answers ahead of curve.. With 4 tutors such as Expedition Map, Emergent Ultimatum and Profane Tutor, the deck finds its key cards reliably. It does not rely on blind draws alone to close games.. With 6 interaction pieces such as Assassin's Trophy, Bituminous Blast and Natural Reclamation, the deck can answer opposing threats and protect its own plan. It is not a goldfish — it fights for the table..
Sus principales áreas de mejora son: The draw count is adequate, but Mulldrifter, Solemn Simulacrum and Growth Spiral may be conditional. Check that they are live before the decisive turn, not just when the deck is already ahead.. The average MV of 4.03 is high with only 11 ramp sources. The deck may have slow hands where it cannot play anything relevant until turn 4 or 5.. The deck has a clear profile, but protection for Yidris, Maelstrom Wielder is limited. If the commander is removed repeatedly, the game plan may fall apart..
Recomendaciones clave: If the pod expects lower-power games, trim the sharpest consistency cards first — especially Expedition Map, Emergent Ultimatum and Profane Tutor.. The current bracket is a good starting point for table fit. Observe how the deck performs in your pod before making major changes.. Keep the draw package but test whether draw cards are live before the combo turn — not just after the deck is already ahead..
El mazo incluye 11 fuentes de ramp, 8 cartas de robo, 6 cartas de remoción, 4 tutores y 4 cartas de maná rápido. Se han detectado 0 combos completos y 18 casi-combos.
Con Bracket 2, este mazo es casual. Ideal para jugar con amigos sin preocuparse por la optimización extrema.