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壶壶

Damage Calculator
Usage Percent
1%
Monthly Rank
#92

Base Stats for 壶壶

HP
20
Atk
10
Def
230
SpA
10
SpD
230
Spe
5

Best Moves for 壶壶

黏黏网
93.746%
隐形岩
86.545%
再来一次
81.628%
剧毒
70.928%
纠缠不休
27.650%
守住
14.467%
拍落
6.083%
Other
18.953%

Best Teammates for 壶壶

Best Items for 壶壶

心灵香草
73.621%
乐芭果
10.263%
吃剩的东西
8.842%
红牌
1.703%
芭亚果
1.473%
Other
4.099%

Best Abilities for 壶壶

结实
86.020%
贪吃鬼
10.960%
唱反调
3.020%

Best EV Spreads for 壶壶

温和
248/
0/
8/
0/
252/
0
45.248%
温和
252/
0/
0/
0/
252/
4
16.385%
淘气
252/
0/
252/
0/
4/
0
7.069%
淘气
92/
0/
164/
0/
252/
0
3.648%
淘气
248/
0/
252/
0/
8/
0
2.257%
温和
252/
0/
0/
4/
252/
0
2.121%

Type Matchups for 壶壶

Weak
Water 2x Rock 2x Steel 2x
Resist
Normal 1/2x Poison 1/2x
Immune
None
Frequently Asked Questions

What are the best moves for 壶壶 in OU?

The top moves for 壶壶 in OU are 黏黏网 (93.746%), 隐形岩 (86.545%), 再来一次 (81.628%), 剧毒 (70.928%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 壶壶?

壶壶 synergizes well with Bisharp (58.047%), Serperior (42.903%), Mimikyu (40.997%), Pinsir-Mega (38.190%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 壶壶?

The most popular items for 壶壶 are 心灵香草 (73.621%), 乐芭果 (10.263%), 吃剩的东西 (8.842%). The best choice depends on your team composition and strategy.

What ability is best for 壶壶?

The most common abilities for 壶壶 are 结实 (86.020%) and 贪吃鬼 (10.960%). The choice often depends on your team's strategy.

What Tera Type should I use on 壶壶?

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

What is the best EV spread for 壶壶?

The most common EV spread for 壶壶 is 温和 with 248/0/8/0/252/0 (45.248% usage). This build is optimized for the current metagame.

What is 壶壶 weak to and resistant against?

壶壶 is weak to Water (2x), Rock (2x), Steel (2x), resists Normal (1/2x), Poison (1/2x), and is immune to no attacking types.

Is 壶壶 good in OU?

壶壶 is currently ranked in the OU 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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