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卡比兽

Damage Calculator
Usage Percent
3%
Monthly Rank
#39

Base Stats for 卡比兽

HP
160
Atk
110
Def
65
SpA
65
SpD
110
Spe
30

Best Moves for 卡比兽

腹鼓
100.000%
守住
99.960%
十万马力
99.960%
硬撑
99.960%

Best Teammates for 卡比兽

Best Items for 卡比兽

文柚果
99.960%
Other
0.040%

Best Abilities for 卡比兽

厚脂肪
100.000%
免疫
0.000%
贪吃鬼
0.000%

Best EV Spreads for 卡比兽

慎重
4/
160/
252/
0/
92/
0
51.157%
勤奋
4/
156/
252/
0/
92/
0
38.087%
固执
4/
156/
252/
0/
92/
4
9.144%

Type Matchups for 卡比兽

Weak
Fighting 2x
Resist
None
Immune
Ghost 0x
Ability notes
Thick Fat: Fire and Ice damage are reduced.
Frequently Asked Questions

What are the best moves for 卡比兽 in Teal Mask VGC 2023 Resultaion Set E?

The top moves for 卡比兽 in Teal Mask VGC 2023 Resultaion Set E are 腹鼓 (100.000%), 守住 (99.960%), 十万马力 (99.960%), 硬撑 (99.960%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 卡比兽?

卡比兽 synergizes well with Clefairy (99.922%), Sinistcha (99.922%), Iron Hands (99.922%), Kommo-o (99.922%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 卡比兽?

The most popular items for 卡比兽 are 文柚果 (99.960%), Other (0.040%). The best choice depends on your team composition and strategy.

What ability is best for 卡比兽?

The most common abilities for 卡比兽 are 厚脂肪 (100.000%) and 免疫 (0.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 卡比兽?

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

What is the best EV spread for 卡比兽?

The most common EV spread for 卡比兽 is 慎重 with 4/160/252/0/92/0 (51.157% usage). This build is optimized for the current metagame.

What is 卡比兽 weak to and resistant against?

卡比兽 is weak to Fighting (2x), resists no attacking types, and is immune to Ghost (0x). Ability notes: Thick Fat: Fire and Ice damage are reduced.

Is 卡比兽 good in Teal Mask VGC 2023 Resultaion Set E?

卡比兽 is currently ranked in the Teal Mask VGC 2023 Resultaion Set E 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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