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泥偶巨人

Damage Calculator
Usage Percent
0%
Monthly Rank
#82

Base Stats for 泥偶巨人

HP
89
Atk
124
Def
80
SpA
55
SpD
80
Spe
55

Best Moves for 泥偶巨人

地震
99.948%
爆裂拳
99.430%
冰冻拳
99.349%
隐形岩
94.202%
Other
7.071%

Best Teammates for 泥偶巨人

Best Items for 泥偶巨人

吃剩的东西
94.829%
讲究头带
4.610%
Other
0.561%

Best Abilities for 泥偶巨人

无防守
99.430%
铁拳
0.569%
笨拙
0.000%

Best EV Spreads for 泥偶巨人

固执
252/
0/
252/
0/
0/
4
94.056%
固执
252/
252/
4/
0/
0/
0
4.648%

Type Matchups for 泥偶巨人

Weak
Water 2x Grass 2x Ice 2x Ghost 2x Dark 2x
Resist
Poison 1/4x Bug 1/2x Rock 1/2x
Immune
Normal 0x Electric 0x Fighting 0x
Frequently Asked Questions

What are the best moves for 泥偶巨人 in Gen 5 OverUsed?

The top moves for 泥偶巨人 in Gen 5 OverUsed are 地震 (99.948%), 爆裂拳 (99.430%), 冰冻拳 (99.349%), 隐形岩 (94.202%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 泥偶巨人?

泥偶巨人 synergizes well with Starmie (93.821%), Metagross (89.223%), Ferrothorn (89.220%), Hydreigon (89.211%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 泥偶巨人?

The most popular items for 泥偶巨人 are 吃剩的东西 (94.829%), 讲究头带 (4.610%), Other (0.561%). The best choice depends on your team composition and strategy.

What ability is best for 泥偶巨人?

The most common abilities for 泥偶巨人 are 无防守 (99.430%) and 铁拳 (0.569%). The choice often depends on your team's strategy.

What Tera Type should I use on 泥偶巨人?

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

What is the best EV spread for 泥偶巨人?

The most common EV spread for 泥偶巨人 is 固执 with 252/0/252/0/0/4 (94.056% usage). This build is optimized for the current metagame.

What is 泥偶巨人 weak to and resistant against?

泥偶巨人 is weak to Water (2x), Grass (2x), Ice (2x), Ghost (2x), Dark (2x), resists Poison (1/4x), Bug (1/2x), Rock (1/2x), and is immune to Normal (0x), Electric (0x), Fighting (0x).

Is 泥偶巨人 good in Gen 5 OverUsed?

泥偶巨人 is currently ranked in the Gen 5 OverUsed 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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