Lanssorien

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

dragonghost

Damage Calculator

Usage Percent

Monthly Rank

#21

Base Stats for Dragapult

Atk

120

Def

SpA

100

SpD

Spe

142

Best Moves for Dragapult

Draco-Flèches

dragon

100.000%

Coup Bas

dark

100.000%

Demi-Tour

bug

100.000%

Psycho-Croc

psychic

100.000%

Best Teammates for Dragapult

Best Items for Dragapult

Bandeau Choix

100.000%

Other

0.000%

Best Abilities for Dragapult

Corps Sain

100.000%

Infiltration

0.000%

Corps Maudit

0.000%

Best EV Spreads for Dragapult

Rigide

252/

252

100.000%

Frequently Asked Questions

What are the best moves for Dragapult in gen9vgc2023series1?

The top moves for Dragapult in gen9vgc2023series1 are Draco-Flèches (100.000%), Coup Bas (100.000%), Demi-Tour (100.000%), Psycho-Croc (100.000%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Dragapult?

Dragapult synergizes well with Annihilape (100.000%), Kingambit (100.000%), Farigiraf (100.000%), Lilligant (100.000%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Dragapult?

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

What ability is best for Dragapult?

The most common abilities for Dragapult are Corps Sain (100.000%) and Infiltration (0.000%). The choice often depends on your team's strategy.

What Tera Type should I use on Dragapult?

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

What is the best EV spread for Dragapult?

The most common EV spread for Dragapult is Rigide with 4/252/0/0/0/252 (100.000% usage). This build is optimized for the current metagame.

Is Dragapult good in gen9vgc2023series1?

Dragapult 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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