轰擂金刚猩

Damage Calculator
Monthly Rank
#48

Base Stats for 轰擂金刚猩

HP
100
Atk
125
Def
90
SpA
60
SpD
70
Spe
85

Best Moves for 轰擂金刚猩

青草滑梯
98.100%
拍落
75.200%
急速折返
74.500%
鼓击
56.800%
十万马力
41.500%
木槌
15.400%
太晶爆发
11.300%
剑舞
6.400%
击掌奇袭
6.100%
蛮干
2.200%

Best Tera Types for 轰擂金刚猩

Normal
33.300%
Grass
27.300%
Fire
10.600%
Ice
7.600%
Fairy
6.100%
Rock
6.100%
Electric
4.500%
Ground
3.000%
Dark
1.500%

Best Items for 轰擂金刚猩

突击背心
68.900%
讲究头带
15.500%
青草种子
4.800%
吃剩的东西
2.600%
气势披带
2.600%
奇迹种子
1.400%
碧绿石板
1.000%
文柚果
0.900%
生命宝珠
0.700%
光粉
0.300%

Best Abilities for 轰擂金刚猩

青草制造者
99.800%
茂盛
0.200%
性格
Adamant
65.500%
Careful
25.700%
Brave
5.700%
Sassy
1.600%
Impish
1.000%
Jolly
0.500%
Frequently Asked Questions

What are the best moves for 轰擂金刚猩 in Gen 9 Battle Stadium Singles Regulation Set I?

The top moves for 轰擂金刚猩 in Gen 9 Battle Stadium Singles Regulation Set I are 青草滑梯 (98.1%), 拍落 (75.2%), 急速折返 (74.5%), 鼓击 (56.8%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 轰擂金刚猩?

轰擂金刚猩 synergizes well with Koraidon (undefined%), Calyrex-Shadow (undefined%), Lunala (undefined%), Kyogre (undefined%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 轰擂金刚猩?

The most popular items for 轰擂金刚猩 are 突击背心 (68.9%), 讲究头带 (15.5%), 青草种子 (4.8%). The best choice depends on your team composition and strategy.

What ability is best for 轰擂金刚猩?

The most common abilities for 轰擂金刚猩 are 青草制造者 (99.8%) and 茂盛 (0.2%). The choice often depends on your team's strategy.

What Tera Type should I use on 轰擂金刚猩?

The most popular Tera Types for 轰擂金刚猩 are Normal (33.3%), Grass (27.3%), Fire (10.6%). Tera Normal is the most common choice.

What is the best EV spread for 轰擂金刚猩?

The most common nature for 轰擂金刚猩 is Adamant.

Is 轰擂金刚猩 good in Gen 9 Battle Stadium Singles Regulation Set I?

轰擂金刚猩 is currently ranked in the Gen 9 Battle Stadium Singles Regulation Set I 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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