Lilligant-Hisui

Name: Lilligant-Hisui Competitive Usage Stats - gen9vgc2025regg
Creator: Pikalytics
License: https://creativecommons.org/licenses/by-nc/4.0/

grassfighting

Damage Calculator

Usage Percent

Monthly Rank

#155

Base Stats for Lilligant-Hisui

Atk

105

Def

SpA

SpD

Spe

105

Best Moves for Lilligant-Hisui

솔라블레이드

grass

99.997%

인파이트

fighting

99.989%

당신먼저

normal

99.971%

저리가루

grass

99.969%

Best Teammates for Lilligant-Hisui

Best Items for Lilligant-Hisui

멘탈허브

91.499%

기합의띠

8.497%

Other

0.003%

Best Abilities for Lilligant-Hisui

엽록소

100.000%

Best EV Spreads for Lilligant-Hisui

고집

252/

252

99.989%

Frequently Asked Questions

What are the best moves for Lilligant-Hisui in gen9vgc2025regg?

The top moves for Lilligant-Hisui in gen9vgc2025regg are 솔라블레이드 (99.997%), 인파이트 (99.989%), 당신먼저 (99.971%), 저리가루 (99.969%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Lilligant-Hisui?

Lilligant-Hisui synergizes well with Flutter Mane (99.790%), Koraidon (99.774%), Incineroar (99.771%), Rillaboom (99.467%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Lilligant-Hisui?

The most popular items for Lilligant-Hisui are 멘탈허브 (91.499%), 기합의띠 (8.497%), Other (0.003%). The best choice depends on your team composition and strategy.

What ability is best for Lilligant-Hisui?

The most common abilities for Lilligant-Hisui are 엽록소 (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on Lilligant-Hisui?

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

What is the best EV spread for Lilligant-Hisui?

The most common EV spread for Lilligant-Hisui is 고집 with 0/252/0/0/4/252 (99.989% usage). This build is optimized for the current metagame.

Is Lilligant-Hisui good in gen9vgc2025regg?

Lilligant-Hisui is currently ranked in the gen9vgc2025regg 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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