雪妖女

Damage Calculator
Monthly Rank
#298

Base Stats for 雪妖女

HP
70
Atk
80
Def
70
SpA
80
SpD
70
Spe
110

Best Moves for 雪妖女

电磁波
89.300%
咒术
88.100%
撒菱
53.600%
挑衅
53.600%
祸不单行
35.700%
冰冻光束
35.700%
冰砾
10.700%
同命
10.700%
雪崩
9.500%
灵骚
9.500%

Best Tera Types for 雪妖女

Normal
100.000%

Best Items for 雪妖女

气势披带
100.000%

Best Abilities for 雪妖女

咒术之躯
86.700%
雪隐
13.300%
性格
Timid
86.700%
Adamant
13.300%

Type Matchups for 雪妖女

Weak
Fire 2x Rock 2x Ghost 2x Dark 2x Steel 2x
Resist
Ice 1/2x Poison 1/2x Bug 1/2x
Immune
Normal 0x Fighting 0x
Frequently Asked Questions

What are the best moves for 雪妖女 in Gen 9 Battle Stadium Singles Regulation Set I?

The top moves for 雪妖女 in Gen 9 Battle Stadium Singles Regulation Set I are 电磁波 (89.3%), 咒术 (88.1%), 撒菱 (53.6%), 挑衅 (53.6%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 雪妖女?

雪妖女 synergizes well with Calyrex-Shadow (undefined%), Flutter Mane (undefined%), Necrozma-Dawn-Wings (undefined%), Iron Bundle (undefined%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 雪妖女?

The most popular items for 雪妖女 are 气势披带 (100.0%). The best choice depends on your team composition and strategy.

What ability is best for 雪妖女?

The most common abilities for 雪妖女 are 咒术之躯 (86.7%) and 雪隐 (13.3%). The choice often depends on your team's strategy.

What Tera Type should I use on 雪妖女?

The most popular Tera Types for 雪妖女 are Normal (100.0%). Tera Normal is the most common choice.

What is the best EV spread for 雪妖女?

The most common nature for 雪妖女 is Timid.

What is 雪妖女 weak to and resistant against?

雪妖女 is weak to Fire (2x), Rock (2x), Ghost (2x), Dark (2x), Steel (2x), resists Ice (1/2x), Poison (1/2x), Bug (1/2x), and is immune to Normal (0x), Fighting (0x).

Is 雪妖女 good in Gen 9 Battle Stadium Singles Regulation Set I?

雪妖女 is currently ranked in the Gen 9 Battle Stadium Singles Regulation Set I 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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Pokemon % usage
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