哥德小姐

Name: Gothitelle Competitive Usage Stats - vgc2019pgl
Creator: Pikalytics
License: https://creativecommons.org/licenses/by-nc/4.0/

psychic

Damage Calculator

Usage Percent

Monthly Rank

#41

Base Stats for Gothitelle

Atk

Def

SpA

SpD

110

Spe

Best Moves for Gothitelle

守住

normal

99.923%

戏法空间

psychic

97.115%

帮助

normal

94.822%

重力

psychic

73.925%

挑衅

dark

15.022%

Other

19.192%

Best Teammates for Gothitelle

Best Items for Gothitelle

心灵香草

75.886%

异奇果

18.052%

防尘护目镜

3.018%

Other

3.044%

Best Abilities for Gothitelle

踩影

99.999%

好胜

0.001%

察觉

0.000%

Best EV Spreads for Gothitelle

自大

244/

20/

244/

73.348%

自大

244/

52/

212/

14.992%

自大

252/

12/

244/

3.057%

自大

252/

2.984%

自大

252/

2.698%

Frequently Asked Questions

What are the best moves for Gothitelle in vgc2019pgl?

The top moves for Gothitelle in vgc2019pgl are 守住 (99.923%), 戏法空间 (97.115%), 帮助 (94.822%), 重力 (73.925%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Gothitelle?

Gothitelle synergizes well with Incineroar (84.680%), Rayquaza-Mega (82.827%), Groudon-Primal (64.549%), Nihilego (62.703%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Gothitelle?

The most popular items for Gothitelle are 心灵香草 (75.886%), 异奇果 (18.052%), 防尘护目镜 (3.018%). The best choice depends on your team composition and strategy.

What ability is best for Gothitelle?

The most common abilities for Gothitelle are 踩影 (99.999%) and 好胜 (0.001%). The choice often depends on your team's strategy.

What Tera Type should I use on Gothitelle?

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

What is the best EV spread for Gothitelle?

The most common EV spread for Gothitelle is 自大 with 244/0/20/0/244/0 (73.348% usage). This build is optimized for the current metagame.

Is Gothitelle good in vgc2019pgl?

Gothitelle is currently ranked in the vgc2019pgl 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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