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刺甲贝

waterice Damage Calculator
Monthly Rank
#87

Base Stats for Cloyster

HP
50
Atk
95
Def
180
SpA
85
SpD
45
Spe
70

Best Moves for Cloyster

冰锥
ice
90.900%
破壳
normal
89.700%
岩石爆击
rock
79.100%
冰砾
ice
41.800%
直冲钻
ground
34.000%
毒菱
poison
13.700%
Tera Blast
normal
11.000%
守住
normal
9.700%
睡觉
psychic
9.100%
铁壁
steel
9.100%

Best Teammates for Cloyster

Best Tera Types for Cloyster

Water
Water
34.600%
Ground
Ground
30.800%
Ice
Ice
23.100%
Ghost
Ghost
5.800%
Fire
Fire
5.800%

Best Items for Cloyster

气势披带
68.300%
白色香草
12.400%
勿花果
12.000%
厚底靴
2.400%
木子果
2.000%
文柚果
1.600%
王者之证
0.800%
气势头带
0.400%

Best Abilities for Cloyster

连续攻击
86.300%
硬壳盔甲
13.700%
性格
Adamant
55.400%
Jolly
30.900%
Bold
13.700%
Frequently Asked Questions

What are the best moves for 刺甲贝 in Gen 9 Battle Stadium Singles Regulation Set I?

The top moves for 刺甲贝 in Gen 9 Battle Stadium Singles Regulation Set I are 冰锥 (90.9%), 破壳 (89.7%), 岩石爆击 (79.1%), 冰砾 (41.8%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 刺甲贝?

刺甲贝 synergizes well with Calyrex-Shadow (undefined%), Koraidon (undefined%), Ting-Lu (undefined%), Grimmsnarl (undefined%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 刺甲贝?

The most popular items for 刺甲贝 are 气势披带 (68.3%), 白色香草 (12.4%), 勿花果 (12.0%). The best choice depends on your team composition and strategy.

What ability is best for 刺甲贝?

The most common abilities for 刺甲贝 are 连续攻击 (86.3%) and 硬壳盔甲 (13.7%). The choice often depends on your team's strategy.

What Tera Type should I use on 刺甲贝?

The most popular Tera Types for 刺甲贝 are Water (34.6%), Ground (30.8%), Ice (23.1%). Tera Water is the most common choice.

What is the best EV spread for 刺甲贝?

The most common nature for 刺甲贝 is Adamant.

Is 刺甲贝 good in Gen 9 Battle Stadium Singles Regulation Set I?

刺甲贝 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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