差不多娃娃

Damage Calculator
Usage Percent
0%
Monthly Rank
#232

Base Stats for 差不多娃娃

HP
103
Atk
60
Def
86
SpA
60
SpD
86
Spe
50

Best Moves for 差不多娃娃

戏法空间
89.519%
守住
84.655%
祈愿
77.523%
交换场地
76.603%
找伙伴
12.802%
治愈波动
11.910%
治愈铃声
8.257%
特性互换
7.932%
电磁波
7.840%
治愈之愿
6.173%
Other
16.787%

Best Items for 差不多娃娃

心灵香草
69.847%
吃剩的东西
26.121%
Other
4.032%

Best Abilities for 差不多娃娃

治愈之心
82.826%
再生力
16.701%
笨拙
0.473%

Best EV Spreads for 差不多娃娃

慎重
252/
0/
152/
0/
104/
0
74.942%
自大
252/
0/
4/
0/
252/
0
6.678%
悠闲
252/
0/
140/
0/
116/
0
6.491%
慎重
252/
0/
252/
0/
4/
0
3.337%
悠闲
4/
0/
252/
0/
252/
0
1.866%
自大
252/
0/
0/
4/
252/
0
1.777%

Type Matchups for 差不多娃娃

Weak
Fighting 2x
Resist
None
Immune
Ghost 0x
Frequently Asked Questions

What are the best moves for 差不多娃娃 in DOU?

The top moves for 差不多娃娃 in DOU are 戏法空间 (89.519%), 守住 (84.655%), 祈愿 (77.523%), 交换场地 (76.603%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 差不多娃娃?

差不多娃娃 synergizes well with Crabominable (71.630%), Stakataka (71.630%), Camerupt-Mega (71.629%), Oranguru (64.167%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 差不多娃娃?

The most popular items for 差不多娃娃 are 心灵香草 (69.847%), 吃剩的东西 (26.121%), Other (4.032%). The best choice depends on your team composition and strategy.

What ability is best for 差不多娃娃?

The most common abilities for 差不多娃娃 are 治愈之心 (82.826%) and 再生力 (16.701%). The choice often depends on your team's strategy.

What Tera Type should I use on 差不多娃娃?

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

What is the best EV spread for 差不多娃娃?

The most common EV spread for 差不多娃娃 is 慎重 with 252/0/152/0/104/0 (74.942% usage). This build is optimized for the current metagame.

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

差不多娃娃 is weak to Fighting (2x), resists no attacking types, and is immune to Ghost (0x).

Is 差不多娃娃 good in DOU?

差不多娃娃 is currently ranked in the DOU 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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