双尾怪手

normal Damage Calculator
Usage Percent
0%
Monthly Rank
#173

Base Stats for Ambipom

HP
75
Atk
100
Def
66
SpA
60
SpD
66
Spe
115

Best Moves for Ambipom

击掌奇袭
normal
99.663%
Nothing
64.308%
珍藏
normal
43.191%
急速折返
bug
28.940%
守住
normal
28.446%
挑衅
dark
21.454%
拍落
dark
17.596%
欺诈
dark
17.331%
报仇
normal
17.283%
报恩
normal
14.848%
二连击
normal
11.787%
踢倒
fighting
8.318%
投掷
dark
6.437%
垃圾射击
poison
5.010%
Other
15.388%

Best Items for Ambipom

生命宝珠
29.347%
气势披带
26.953%
丝绸围巾
21.557%
一般宝石
8.464%
突击背心
6.442%
Other
3.141%

Best Abilities for Ambipom

技术高手
99.853%
连续攻击
0.126%
捡拾
0.021%

Best EV Spreads for Ambipom

爽朗
0/
252/
0/
0/
4/
252
43.139%
爽朗
4/
252/
0/
0/
0/
252
36.560%
固执
4/
252/
0/
0/
0/
252
7.465%
爽朗
252/
4/
0/
0/
0/
252
3.865%
慎重
0/
132/
0/
0/
124/
252
3.658%
固执
0/
252/
0/
0/
0/
252
1.884%
Frequently Asked Questions

What are the best moves for Ambipom in vgc2016?

The top moves for Ambipom in vgc2016 are 击掌奇袭 (99.663%), Nothing (64.308%), 珍藏 (43.191%), 急速折返 (28.940%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Ambipom?

Ambipom synergizes well with Kyogre-Primal (47.300%), Rayquaza-Mega (37.286%), Gyarados-Mega (18.128%), Amoonguss (17.968%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Ambipom?

The most popular items for Ambipom are 生命宝珠 (29.347%), 气势披带 (26.953%), 丝绸围巾 (21.557%). The best choice depends on your team composition and strategy.

What ability is best for Ambipom?

The most common abilities for Ambipom are 技术高手 (99.853%) and 连续攻击 (0.126%). The choice often depends on your team's strategy.

What Tera Type should I use on Ambipom?

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

What is the best EV spread for Ambipom?

The most common EV spread for Ambipom is 爽朗 with 0/252/0/0/4/252 (43.139% usage). This build is optimized for the current metagame.

Is Ambipom good in vgc2016?

Ambipom is currently ranked in the vgc2016 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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