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梦梦蚀

Damage Calculator
Usage Percent
0%
Monthly Rank
#64

Base Stats for 梦梦蚀

HP
116
Atk
55
Def
85
SpA
107
SpD
95
Spe
29

Best Moves for 梦梦蚀

戏法空间
99.865%
重力
98.961%
精神强念
94.853%
催眠术
90.490%
Other
15.831%

Best Teammates for 梦梦蚀

Best Items for 梦梦蚀

木子果
52.175%
心灵香草
46.479%
Other
1.346%

Best Abilities for 梦梦蚀

心灵感应
62.051%
预知梦
34.689%
同步
3.260%

Best EV Spreads for 梦梦蚀

自大
252/
0/
4/
0/
252/
0
42.339%
冷静
252/
4/
28/
212/
12/
0
14.661%
冷静
252/
0/
28/
212/
12/
0
12.352%
温和
252/
0/
180/
0/
76/
0
4.782%
悠闲
252/
0/
180/
4/
68/
0
4.662%
自大
252/
0/
36/
0/
220/
0
3.771%

Type Matchups for 梦梦蚀

Weak
Bug 2x Ghost 2x Dark 2x
Resist
Fighting 1/2x Psychic 1/2x
Immune
None
Frequently Asked Questions

What are the best moves for 梦梦蚀 in VGC 16?

The top moves for 梦梦蚀 in VGC 16 are 戏法空间 (99.865%), 重力 (98.961%), 精神强念 (94.853%), 催眠术 (90.490%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 梦梦蚀?

梦梦蚀 synergizes well with Groudon-Primal (99.075%), Xerneas (84.043%), Kangaskhan-Mega (83.943%), Landorus-Therian (56.373%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 梦梦蚀?

The most popular items for 梦梦蚀 are 木子果 (52.175%), 心灵香草 (46.479%), Other (1.346%). The best choice depends on your team composition and strategy.

What ability is best for 梦梦蚀?

The most common abilities for 梦梦蚀 are 心灵感应 (62.051%) and 预知梦 (34.689%). The choice often depends on your team's strategy.

What Tera Type should I use on 梦梦蚀?

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

What is the best EV spread for 梦梦蚀?

The most common EV spread for 梦梦蚀 is 自大 with 252/0/4/0/252/0 (42.339% usage). This build is optimized for the current metagame.

What is 梦梦蚀 weak to and resistant against?

梦梦蚀 is weak to Bug (2x), Ghost (2x), Dark (2x), resists Fighting (1/2x), Psychic (1/2x), and is immune to no attacking types.

Is 梦梦蚀 good in VGC 16?

梦梦蚀 is currently ranked in the VGC 16 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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