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超级差不多娃娃

Damage Calculator
Usage Percent
0%
Monthly Rank
#161

Base Stats for 超级差不多娃娃

HP
103
Atk
60
Def
126
SpA
80
SpD
126
Spe
50

Best Moves for 超级差不多娃娃

剧毒
94.766%
治愈之愿
91.366%
戏法空间
91.353%
祈愿
39.719%
破坏光线
29.843%
魔法闪耀
24.310%
拍落
12.622%
Other
16.020%

Best Teammates for 超级差不多娃娃

Best Items for 超级差不多娃娃

差不多娃娃进化石
100.000%

Best Abilities for 超级差不多娃娃

治愈之心
100.000%

Best EV Spreads for 超级差不多娃娃

悠闲
252/
0/
252/
0/
4/
0
32.543%
悠闲
248/
0/
252/
8/
0/
0
30.395%
悠闲
252/
0/
252/
0/
0/
0
21.132%
自大
248/
0/
252/
0/
8/
0
7.281%
慎重
252/
4/
0/
0/
252/
0
3.291%
大胆
252/
0/
252/
4/
0/
0
2.532%

Type Matchups for 超级差不多娃娃

Weak
Poison 2x Steel 2x
Resist
Bug 1/2x Dark 1/2x
Immune
Ghost 0x Dragon 0x
Frequently Asked Questions

What are the best moves for 超级差不多娃娃 in OU?

The top moves for 超级差不多娃娃 in OU are 剧毒 (94.766%), 治愈之愿 (91.366%), 戏法空间 (91.353%), 祈愿 (39.719%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 超级差不多娃娃?

超级差不多娃娃 synergizes well with Magearna (89.183%), Marowak-Alola (87.229%), Hoopa-Unbound (87.181%), Uxie (86.818%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 超级差不多娃娃?

The most popular items for 超级差不多娃娃 are 差不多娃娃进化石 (100.000%). The best choice depends on your team composition and strategy.

What ability is best for 超级差不多娃娃?

The most common abilities for 超级差不多娃娃 are 治愈之心 (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 超级差不多娃娃?

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

What is the best EV spread for 超级差不多娃娃?

The most common EV spread for 超级差不多娃娃 is 悠闲 with 252/0/252/0/4/0 (32.543% usage). This build is optimized for the current metagame.

What is 超级差不多娃娃 weak to and resistant against?

超级差不多娃娃 is weak to Poison (2x), Steel (2x), resists Bug (1/2x), Dark (1/2x), and is immune to Ghost (0x), Dragon (0x).

Is 超级差不多娃娃 good in OU?

超级差不多娃娃 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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