Home
Decks
Black Decks
Ragnaloard

Ragnaloard

Sheru Muko 933 views Dec 24, 2025 Updated Feb 01, 2026

Black Mid-Range

Playtest Purchase Purchase on TCGplayer ($67.99)

Feb 01, 2026 1:54 PM

Removed Ludomon x4, Removed Zubamon x4, Added Ludomon x1, Removed Zubamon x2, Removed TiaLudomon x1, Removed ZubaEagermon x1, Added BryweLudramon x2, Removed BryweLudramon x1, Removed Durandamon x4, Removed RagnaLoardmon x2, Removed Garnet Memory Boost! x1, Removed Tai Kamiya x2, Removed Analog Youth x3, Removed Sakuttomon x4, Added Ludomon x2, Added RagnaLoardmon x3, Added Spadamon x4, Added Duramon x2, Added Durandamon x4, Added TiaLudomon x2, Added Zubamon x3, Added Tai Kamiya x2, Added Kakkinmon x4

Added:

Ludomon (BT3-062) x2
RagnaLoardmon (BT3-019) x3
Spadamon (EX6-037) x4
Duramon (ST13-04) x2
Durandamon (EX6-010) x4
TiaLudomon (ST13-11) x2
Zubamon (P-097) x3
Tai Kamiya (ST15-14) x2
Kakkinmon (EX6-005) x4

Removed:

Ludomon (EX6-038) x4
Zubamon (EX6-007) x4
Zubamon (ST13-02) x2
Durandamon (ST13-05) x4
RagnaLoardmon (ST13-06) x2
Tai Kamiya (BT1-085) x2
Analog Youth (EX1-066) x3
Sakuttomon (EX6-001) x4

Changed:

Ludomon (ST13-09) : -1 +1 (2 → 3)
TiaLudomon (EX6-040) : -1 (4 → 3)
ZubaEagermon (EX6-008) : -1 (4 → 3)
BryweLudramon (ST13-14) : -2 +2 (2 → 4)
BryweLudramon (EX6-044) : -1 (2 → 1)
Garnet Memory Boost! (LM-033) : -1 (4 → 3)

Deck Primer

...

This is my current draft for Legend Arms as a deck. I have a lot to say about Legend Arms overall. The deck feels like it is strong but it is very memory inefficient, it is piece reliant, and it takes a while to setup and even then there is risk involved. However, I have to admit that I was building the deck wrong in the past. The trick to making the deck work was actually changing the ratios I was using. I fixed the consistency issue but it came at the cost of tech cards. Now the deck is much more effective at getting to its pieces but there is still the whole problem of getting two stacks on board. That's why I cut the starter deck Ragnaloardmon entirely. It's jus not feasible to pull it off. Then there is the addition of Garnet Memory Boost which saved the deck honestly. It helps with the memory efficiency problem especially when paired with a memory setter like Tai. Regardless I cannot say this build is even remotely playable. It's the best I can do for the deck until we get support that makes them more efficient.