多龙巴鲁托

Name: Dragapult Competitive Usage Stats - gen9vgc2023regulatione
Creator: Pikalytics
License: https://creativecommons.org/licenses/by-nc/4.0/

dragonghost

Damage Calculator

Usage Percent

Monthly Rank

#56

Base Stats for Dragapult

Atk

120

Def

SpA

100

SpD

Spe

142

Best Moves for Dragapult

龙箭

dragon

98.272%

潜灵奇袭

ghost

98.057%

急速折返

bug

79.517%

突袭

dark

62.785%

Tera Blast

normal

55.427%

Other

5.941%

Best Teammates for Dragapult

Best Items for Dragapult

讲究头带

97.891%

Other

2.109%

Best Abilities for Dragapult

恒净之躯

99.093%

诅咒之躯

0.703%

穿透

0.205%

Best EV Spreads for Dragapult

爽朗

252/

252

42.461%

爽朗

252/

252

35.257%

爽朗

252/

252

20.160%

Frequently Asked Questions

What are the best moves for Dragapult in gen9vgc2023regulatione?

The top moves for Dragapult in gen9vgc2023regulatione are 龙箭 (98.272%), 潜灵奇袭 (98.057%), 急速折返 (79.517%), 突袭 (62.785%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Dragapult?

Dragapult synergizes well with Chien-Pao (96.901%), Urshifu-Rapid-Strike (55.600%), Abomasnow (42.065%), Murkrow (42.065%). 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 讲究头带 (97.891%), Other (2.109%). The best choice depends on your team composition and strategy.

What ability is best for Dragapult?

The most common abilities for Dragapult are 恒净之躯 (99.093%) and 诅咒之躯 (0.703%). 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 爽朗 with 0/252/0/0/4/252 (42.461% usage). This build is optimized for the current metagame.

Is Dragapult good in gen9vgc2023regulatione?

Dragapult is currently ranked in the gen9vgc2023regulatione 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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