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泥偶巨人

Damage Calculator
Usage Percent
0%
Monthly Rank
#103

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

灵骚
99.121%
爆裂拳
98.436%
十万马力
98.314%
尖石攻击
89.432%
Other
14.697%

Best Teammates for 泥偶巨人

Best Items for 泥偶巨人

Clear Amulet
89.899%
讲究头带
8.100%
Other
2.000%

Best Abilities for 泥偶巨人

无防守
99.551%
铁拳
0.449%
笨拙
0.000%

Best EV Spreads for 泥偶巨人

固执
156/
252/
0/
0/
0/
100
89.365%
勇敢
252/
252/
4/
0/
0/
0
8.073%

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 SV?

The top moves for 泥偶巨人 in SV are 灵骚 (99.121%), 爆裂拳 (98.436%), 十万马力 (98.314%), 尖石攻击 (89.432%). 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 Smeargle (97.342%), Incineroar (90.998%), Bronzong (90.173%), Dragonite (89.699%). 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 Clear Amulet (89.899%), 讲究头带 (8.100%), Other (2.000%). 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 (99.551%) and 铁拳 (0.449%). 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 156/252/0/0/0/100 (89.365% 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 SV?

泥偶巨人 is currently ranked in the SV 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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