巨钳蟹

Damage Calculator
Usage Percent
0%
Monthly Rank
#409

Base Stats for 巨钳蟹

HP
55
Atk
130
Def
115
SpA
50
SpD
50
Spe
75

Best Moves for 巨钳蟹

拍落
62.531%
水流裂破
58.656%
蟹钳锤
57.862%
劈瓦
39.340%
岩崩
37.287%
泰山压顶
36.231%
热水
35.736%
跺脚
33.064%
高速移动
26.974%
Other
12.320%

Best Items for 巨钳蟹

生命宝珠
53.805%
水滴石板
35.736%
枝荔果
4.903%
讲究围巾
2.451%
Other
3.106%

Best Abilities for 巨钳蟹

强行
53.758%
怪力钳
40.797%
硬壳盔甲
5.445%

Best EV Spreads for 巨钳蟹

固执
200/
252/
48/
0/
8/
0
35.736%
固执
4/
252/
252/
0/
0/
0
33.064%
爽朗
0/
0/
4/
0/
252/
252
25.592%
爽朗
0/
252/
0/
0/
4/
252
4.100%

Type Matchups for 巨钳蟹

Weak
Electric 2x Grass 2x
Resist
Fire 1/2x Water 1/2x Ice 1/2x Steel 1/2x
Immune
None
Frequently Asked Questions

What are the best moves for 巨钳蟹 in DOU?

The top moves for 巨钳蟹 in DOU are 拍落 (62.531%), 水流裂破 (58.656%), 蟹钳锤 (57.862%), 劈瓦 (39.340%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 巨钳蟹?

巨钳蟹 synergizes well with Mamoswine (35.736%), Gengar (35.736%), Gardevoir (35.736%), Charizard-Mega-Y (35.736%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 巨钳蟹?

The most popular items for 巨钳蟹 are 生命宝珠 (53.805%), 水滴石板 (35.736%), 枝荔果 (4.903%). The best choice depends on your team composition and strategy.

What ability is best for 巨钳蟹?

The most common abilities for 巨钳蟹 are 强行 (53.758%) and 怪力钳 (40.797%). The choice often depends on your team's strategy.

What Tera Type should I use on 巨钳蟹?

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

What is the best EV spread for 巨钳蟹?

The most common EV spread for 巨钳蟹 is 固执 with 200/252/48/0/8/0 (35.736% usage). This build is optimized for the current metagame.

What is 巨钳蟹 weak to and resistant against?

巨钳蟹 is weak to Electric (2x), Grass (2x), resists Fire (1/2x), Water (1/2x), Ice (1/2x), Steel (1/2x), and is immune to no attacking types.

Is 巨钳蟹 good in DOU?

巨钳蟹 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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