超级诅咒娃娃

Damage Calculator
Usage Percent
0%
Monthly Rank
#159

Base Stats for 超级诅咒娃娃

HP
64
Atk
165
Def
75
SpA
93
SpD
83
Spe
75

Best Moves for 超级诅咒娃娃

同命
95.600%
暗影爪
61.918%
垃圾射击
53.139%
磷火
35.925%
定身法
33.913%
影子偷袭
20.782%
挑衅
20.781%
潜灵奇袭
18.429%
拍落
17.734%
戏法空间
17.514%
突袭
9.376%
Other
14.889%

Best Items for 超级诅咒娃娃

诅咒娃娃进化石
100.000%

Best Abilities for 超级诅咒娃娃

恶作剧之心
100.000%

Best EV Spreads for 超级诅咒娃娃

爽朗
0/
244/
0/
0/
36/
228
33.137%
慎重
252/
4/
0/
0/
252/
0
15.087%
固执
252/
252/
0/
0/
4/
0
12.895%
固执
252/
252/
4/
0/
0/
0
9.385%
固执
144/
252/
0/
0/
0/
112
6.931%
固执
80/
252/
128/
0/
48/
0
5.203%

Type Matchups for 超级诅咒娃娃

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 超级诅咒娃娃 in OU?

The top moves for 超级诅咒娃娃 in OU are 同命 (95.600%), 暗影爪 (61.918%), 垃圾射击 (53.139%), 磷火 (35.925%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 超级诅咒娃娃?

超级诅咒娃娃 synergizes well with Landorus-Therian (52.740%), Magearna (43.625%), Bisharp (38.205%), Ribombee (36.124%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 超级诅咒娃娃?

The most popular items for 超级诅咒娃娃 are 诅咒娃娃进化石 (100.000%). The best choice depends on your team composition and strategy.

What ability is best for 超级诅咒娃娃?

The most common abilities for 超级诅咒娃娃 are 恶作剧之心 (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 超级诅咒娃娃?

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

What is the best EV spread for 超级诅咒娃娃?

The most common EV spread for 超级诅咒娃娃 is 爽朗 with 0/244/0/0/36/228 (33.137% usage). This build is optimized for the current metagame.

What is 超级诅咒娃娃 weak to and resistant against?

超级诅咒娃娃 is weak to Ghost (2x), Dark (2x), resists Poison (1/2x), Bug (1/2x), and is immune to Normal (0x), Fighting (0x).

Is 超级诅咒娃娃 good in OU?

超级诅咒娃娃 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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