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毒藻龙

Damage Calculator
Usage Percent
0%
Monthly Rank
#175

Base Stats for 毒藻龙

HP
65
Atk
75
Def
90
SpA
97
SpD
123
Spe
44

Best Moves for 毒藻龙

浊流
100.000%
污泥炸弹
99.999%
溶化
99.999%
酸液炸弹
99.999%

Best Teammates for 毒藻龙

Best Items for 毒藻龙

剧毒石板
99.999%
Other
0.001%

Best Abilities for 毒藻龙

适应力
100.000%
毒刺
0.000%

Best EV Spreads for 毒藻龙

自大
0/
0/
0/
252/
252/
0
99.999%

Type Matchups for 毒藻龙

Weak
Ice 2x Ground 2x Psychic 2x Dragon 2x
Resist
Grass 1/4x Fire 1/2x Water 1/2x Electric 1/2x Fighting 1/2x Poison 1/2x Bug 1/2x
Immune
None
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Frequently Asked Questions

What are the best moves for 毒藻龙 in VGC 2024 Regulation Set FBO3?

The top moves for 毒藻龙 in VGC 2024 Regulation Set FBO3 are 浊流 (100.000%), 污泥炸弹 (99.999%), 溶化 (99.999%), 酸液炸弹 (99.999%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 毒藻龙?

毒藻龙 synergizes well with Vivillon (99.999%), Hatterene (99.999%), Florges (99.999%), Serperior (99.999%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 毒藻龙?

The most popular items for 毒藻龙 are 剧毒石板 (99.999%), Other (0.001%). The best choice depends on your team composition and strategy.

What ability is best for 毒藻龙?

The most common abilities for 毒藻龙 are 适应力 (100.000%) and 毒刺 (0.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 毒藻龙?

Tera Type data is not available for this format or Pokemon.

What is the best EV spread for 毒藻龙?

The most common EV spread for 毒藻龙 is 自大 with 0/0/0/252/252/0 (99.999% usage). This build is optimized for the current metagame.

What is 毒藻龙 weak to and resistant against?

毒藻龙 is weak to Ice (2x), Ground (2x), Psychic (2x), Dragon (2x), resists Grass (1/4x), Fire (1/2x), Water (1/2x), Electric (1/2x), Fighting (1/2x), Poison (1/2x), Bug (1/2x), and is immune to no attacking types.

Is 毒藻龙 good in VGC 2024 Regulation Set FBO3?

毒藻龙 is currently ranked in the VGC 2024 Regulation Set FBO3 metagame. Check the usage percentage and teammates section to see how well it performs. The data is aggregated from thousands of high-level ranked battles.





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