Enamorus-Therian

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

fairyflying

Damage Calculator

Usage Percent

Monthly Rank

#31

Base Stats for Enamorus-Therian

Atk

115

Def

110

SpA

135

SpD

100

Spe

Best Moves for Enamorus-Therian

Springtide Storm

fairy

100.000%

魔法火焰

fire

100.000%

冥想

psychic

99.989%

守住

normal

99.989%

Best Teammates for Enamorus-Therian

Best Items for Enamorus-Therian

吃剩的东西

99.989%

Other

0.011%

Best Abilities for Enamorus-Therian

防尘

100.000%

Best EV Spreads for Enamorus-Therian

冷静

252/

99.989%

Frequently Asked Questions

What are the best moves for Enamorus-Therian in gen9vgc2025regg?

The top moves for Enamorus-Therian in gen9vgc2025regg are Springtide Storm (100.000%), 魔法火焰 (100.000%), 冥想 (99.989%), 守住 (99.989%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Enamorus-Therian?

Enamorus-Therian synergizes well with Incineroar (77.595%), Gholdengo (77.584%), Ursaluna (77.584%), Palkia (77.584%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Enamorus-Therian?

The most popular items for Enamorus-Therian are 吃剩的东西 (99.989%), Other (0.011%). The best choice depends on your team composition and strategy.

What ability is best for Enamorus-Therian?

The most common abilities for Enamorus-Therian are 防尘 (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on Enamorus-Therian?

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

What is the best EV spread for Enamorus-Therian?

The most common EV spread for Enamorus-Therian is 冷静 with 252/0/0/252/0/0 (99.989% usage). This build is optimized for the current metagame.

Is Enamorus-Therian good in gen9vgc2025regg?

Enamorus-Therian 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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