迭失棺

Damage Calculator
Usage Percent
1%
Monthly Rank
#141

Base Stats for 迭失棺

HP
58
Atk
50
Def
145
SpA
95
SpD
105
Spe
30

Best Moves for 迭失棺

戏法空间
96.384%
磷火
69.539%
祸不单行
46.546%
暗影球
39.171%
分担痛楚
37.755%
交换场地
34.778%
黑雾
26.917%
诡计
12.407%
同命
9.208%
黑夜魔影
6.748%
剧毒
5.428%
Other
15.119%

Best Items for 迭失棺

乐芭果
37.715%
心灵香草
32.585%
异奇果
14.917%
吃剩的东西
9.706%
白色香草
1.062%
Other
4.016%

Best Abilities for 迭失棺

木乃伊
100.000%

Best EV Spreads for 迭失棺

自大
248/
0/
0/
8/
252/
0
38.957%
自大
172/
0/
84/
0/
252/
0
26.908%
悠闲
252/
0/
4/
0/
252/
0
8.386%
自大
248/
0/
32/
0/
228/
0
5.377%
自大
0/
0/
4/
252/
252/
0
5.289%
悠闲
252/
0/
252/
0/
6/
0
4.428%

Type Matchups for 迭失棺

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 迭失棺 in DOU?

The top moves for 迭失棺 in DOU are 戏法空间 (96.384%), 磷火 (69.539%), 祸不单行 (46.546%), 暗影球 (39.171%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 迭失棺?

迭失棺 synergizes well with Mawile-Mega (33.677%), Mimikyu (31.226%), Tapu Lele (29.599%), Azumarill (25.492%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 迭失棺?

The most popular items for 迭失棺 are 乐芭果 (37.715%), 心灵香草 (32.585%), 异奇果 (14.917%). The best choice depends on your team composition and strategy.

What ability is best for 迭失棺?

The most common abilities for 迭失棺 are 木乃伊 (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 迭失棺?

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

What is the best EV spread for 迭失棺?

The most common EV spread for 迭失棺 is 自大 with 248/0/0/8/252/0 (38.957% usage). This build is optimized for the current metagame.

What is 迭失棺 weak to and resistant against?

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

Is 迭失棺 good in DOU?

迭失棺 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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