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来悲茶

Damage Calculator
Usage Percent
0%
Monthly Rank
#98

Base Stats for 来悲茶

HP
40
Atk
45
Def
45
SpA
74
SpD
54
Spe
50

Best Moves for 来悲茶

太晶爆发
99.523%
诡计
90.291%
辅助力量
55.339%
暗影球
54.184%
磷火
45.816%
挺住
37.054%
Other
17.794%

Best Teammates for 来悲茶

Best Items for 来悲茶

进化奇石
62.423%
弱点保险
37.432%
Other
0.145%

Best Abilities for 来悲茶

碎裂铠甲
100.000%
咒术之躯
0.000%

Best EV Spreads for 来悲茶

内敛
36/
0/
0/
244/
4/
196
45.816%
内敛
0/
0/
0/
244/
0/
196
37.054%
内敛
68/
0/
76/
244/
4/
116
9.331%
胆小
116/
0/
156/
4/
4/
196
7.189%

Type Matchups for 来悲茶

Weak
Ghost 2x Dark 2x
Resist
Poison 1/2x Bug 1/2x
Immune
Normal 0x Fighting 0x
Frequently Asked Questions

What are the best moves for 来悲茶 in Gen 9 Little Cup?

The top moves for 来悲茶 in Gen 9 Little Cup are 太晶爆发 (99.523%), 诡计 (90.291%), 辅助力量 (55.339%), 暗影球 (54.184%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 来悲茶?

来悲茶 synergizes well with Impidimp (92.201%), Mienfoo (55.226%), Chingling (55.147%), Tinkatink (45.816%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 来悲茶?

The most popular items for 来悲茶 are 进化奇石 (62.423%), 弱点保险 (37.432%), Other (0.145%). The best choice depends on your team composition and strategy.

What ability is best for 来悲茶?

The most common abilities for 来悲茶 are 碎裂铠甲 (100.000%) and 咒术之躯 (0.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 来悲茶?

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

What is the best EV spread for 来悲茶?

The most common EV spread for 来悲茶 is 内敛 with 36/0/0/244/4/196 (45.816% usage). This build is optimized for the current metagame.

What is 来悲茶 weak to and resistant against?

来悲茶 is weak to Ghost (2x), Dark (2x), resists Poison (1/2x), Bug (1/2x), and is immune to Normal (0x), Fighting (0x).

Is 来悲茶 good in Gen 9 Little Cup?

来悲茶 is currently ranked in the Gen 9 Little Cup 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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