毽子棉

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

grassflying

Damage Calculator

Usage Percent

Monthly Rank

#22

Base Stats for Jumpluff

Atk

Def

SpA

SpD

Spe

110

Best Moves for Jumpluff

催眠粉

grass

99.950%

愤怒粉

bug

96.703%

守住

normal

76.042%

帮助

normal

63.884%

再来一次

normal

37.423%

打草结

grass

21.388%

Other

4.610%

Best Teammates for Jumpluff

Best Items for Jumpluff

气势披带

97.969%

Other

2.031%

Best Abilities for Jumpluff

叶绿素

100.000%

穿透

0.000%

叶子防守

0.000%

Best EV Spreads for Jumpluff

胆小

164/

92/

252

57.681%

胆小

252/

252

18.314%

胆小

252/

252

6.666%

胆小

252/

252

6.560%

胆小

164/

92/

252

3.301%

胆小

252/

252

2.006%

Frequently Asked Questions

What are the best moves for Jumpluff in vgc2019pgl?

The top moves for Jumpluff in vgc2019pgl are 催眠粉 (99.950%), 愤怒粉 (96.703%), 守住 (76.042%), 帮助 (63.884%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Jumpluff?

Jumpluff synergizes well with Groudon-Primal (92.955%), Salamence-Mega (84.151%), Tapu Lele (81.127%), Stakataka (80.596%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Jumpluff?

The most popular items for Jumpluff are 气势披带 (97.969%), Other (2.031%). The best choice depends on your team composition and strategy.

What ability is best for Jumpluff?

The most common abilities for Jumpluff are 叶绿素 (100.000%) and 穿透 (0.000%). The choice often depends on your team's strategy.

What Tera Type should I use on Jumpluff?

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

What is the best EV spread for Jumpluff?

The most common EV spread for Jumpluff is 胆小 with 164/0/92/0/0/252 (57.681% usage). This build is optimized for the current metagame.

Is Jumpluff good in vgc2019pgl?

Jumpluff 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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