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卡璞・蝶蝶

Damage Calculator
Usage Percent
2%
Monthly Rank
#51

Base Stats for 卡璞・蝶蝶

HP
70
Atk
85
Def
75
SpA
130
SpD
115
Spe
95

Best Moves for 卡璞・蝶蝶

精神强念
88.250%
月亮之力
85.605%
魔法闪耀
79.492%
精神冲击
57.018%
守住
23.826%
挑衅
13.583%
暗影球
11.632%
冥想
11.375%
十万伏特
6.349%
真气弹
6.145%
Other
16.724%

Best Teammates for 卡璞・蝶蝶

Best Items for 卡璞・蝶蝶

讲究眼镜
55.046%
讲究围巾
12.873%
文柚果
11.502%
气势披带
6.376%
生命宝珠
5.316%
防尘护目镜
3.487%
弱点保险
3.321%
Other
2.080%

Best Abilities for 卡璞・蝶蝶

精神制造者
99.996%
心灵感应
0.004%

Best EV Spreads for 卡璞・蝶蝶

内敛
92/
0/
4/
156/
4/
252
25.626%
胆小
0/
0/
0/
252/
4/
252
17.522%
内敛
228/
0/
180/
4/
4/
92
8.932%
胆小
0/
0/
4/
252/
0/
252
6.711%
内敛
0/
0/
0/
252/
4/
252
6.298%
胆小
4/
0/
0/
252/
0/
252
5.427%
Frequently Asked Questions

What are the best moves for 卡璞・蝶蝶 in Series 7 Battle Stadium Doubles?

The top moves for 卡璞・蝶蝶 in Series 7 Battle Stadium Doubles are 精神强念 (88.250%), 月亮之力 (85.605%), 魔法闪耀 (79.492%), 精神冲击 (57.018%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 卡璞・蝶蝶?

卡璞・蝶蝶 synergizes well with Urshifu (38.298%), Whimsicott (38.099%), Celesteela (26.711%), Heatran (17.818%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 卡璞・蝶蝶?

The most popular items for 卡璞・蝶蝶 are 讲究眼镜 (55.046%), 讲究围巾 (12.873%), 文柚果 (11.502%). The best choice depends on your team composition and strategy.

What ability is best for 卡璞・蝶蝶?

The most common abilities for 卡璞・蝶蝶 are 精神制造者 (99.996%) and 心灵感应 (0.004%). The choice often depends on your team's strategy.

What Tera Type should I use on 卡璞・蝶蝶?

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

What is the best EV spread for 卡璞・蝶蝶?

The most common EV spread for 卡璞・蝶蝶 is 内敛 with 92/0/4/156/4/252 (25.626% usage). This build is optimized for the current metagame.

Is 卡璞・蝶蝶 good in Series 7 Battle Stadium Doubles?

卡璞・蝶蝶 is currently ranked in the Series 7 Battle Stadium Doubles 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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