Scovillain

Name: Scovillain Competitive Usage Stats - gen9vgc2023series1
Creator: Pikalytics
License: https://creativecommons.org/licenses/by-nc/4.0/

grassfire

Damage Calculator

Usage Percent

Monthly Rank

#65

Base Stats for Scovillain

Atk

108

Def

SpA

108

SpD

Spe

Best Moves for Scovillain

불대문자

fire

100.000%

Tera Blast

normal

99.991%

방어

normal

62.887%

기가드레인

grass

62.887%

솔라빔

grass

37.113%

분노가루

bug

34.784%

Other

2.339%

Best Teammates for Scovillain

Best Items for Scovillain

생명의구슬

100.000%

Other

0.000%

Best Abilities for Scovillain

엽록소

100.000%

변덕쟁이

0.000%

Best EV Spreads for Scovillain

겁쟁이

252/

252

62.887%

조심

252/

252

37.104%

Frequently Asked Questions

What are the best moves for Scovillain in gen9vgc2023series1?

The top moves for Scovillain in gen9vgc2023series1 are 불대문자 (100.000%), Tera Blast (99.991%), 방어 (62.887%), 기가드레인 (62.887%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Scovillain?

Scovillain synergizes well with Meowscarada (65.493%), Breloom (62.887%), Rotom-Mow (62.887%), Amoonguss (62.887%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Scovillain?

The most popular items for Scovillain are 생명의구슬 (100.000%), Other (0.000%). The best choice depends on your team composition and strategy.

What ability is best for Scovillain?

The most common abilities for Scovillain are 엽록소 (100.000%) and 변덕쟁이 (0.000%). The choice often depends on your team's strategy.

What Tera Type should I use on Scovillain?

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

What is the best EV spread for Scovillain?

The most common EV spread for Scovillain is 겁쟁이 with 4/0/0/252/0/252 (62.887% usage). This build is optimized for the current metagame.

Is Scovillain good in gen9vgc2023series1?

Scovillain is currently ranked in the gen9vgc2023series1 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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