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齿轮怪

Damage Calculator
Usage Percent
0%
Monthly Rank
#84

Base Stats for 齿轮怪

HP
60
Atk
100
Def
115
SpA
70
SpD
85
Spe
90

Best Moves for 齿轮怪

齿轮飞盘
99.946%
换档
99.946%
疯狂伏特
99.946%
迁怒
99.866%

Best Teammates for 齿轮怪

Best Items for 齿轮怪

金属膜
99.866%
Other
0.134%

Best Abilities for 齿轮怪

恒净之躯
99.946%
正电
0.054%
负电
0.000%

Best EV Spreads for 齿轮怪

固执
64/
252/
0/
0/
0/
192
99.866%

Type Matchups for 齿轮怪

Weak
Fire 2x Fighting 2x Ground 2x
Resist
Normal 1/2x Grass 1/2x Ice 1/2x Flying 1/2x Psychic 1/2x Bug 1/2x Rock 1/2x Dragon 1/2x Steel 1/2x Fairy 1/2x
Immune
Poison 0x
Frequently Asked Questions

What are the best moves for 齿轮怪 in Gen 5 OverUsed?

The top moves for 齿轮怪 in Gen 5 OverUsed are 齿轮飞盘 (99.946%), 换档 (99.946%), 疯狂伏特 (99.946%), 迁怒 (99.866%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 齿轮怪?

齿轮怪 synergizes well with Kyurem-Black (99.867%), Jirachi (99.866%), Latios (99.866%), Ferrothorn (99.866%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 齿轮怪?

The most popular items for 齿轮怪 are 金属膜 (99.866%), Other (0.134%). The best choice depends on your team composition and strategy.

What ability is best for 齿轮怪?

The most common abilities for 齿轮怪 are 恒净之躯 (99.946%) and 正电 (0.054%). The choice often depends on your team's strategy.

What Tera Type should I use on 齿轮怪?

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

What is the best EV spread for 齿轮怪?

The most common EV spread for 齿轮怪 is 固执 with 64/252/0/0/0/192 (99.866% usage). This build is optimized for the current metagame.

What is 齿轮怪 weak to and resistant against?

齿轮怪 is weak to Fire (2x), Fighting (2x), Ground (2x), resists Normal (1/2x), Grass (1/2x), Ice (1/2x), Flying (1/2x), Psychic (1/2x), Bug (1/2x), Rock (1/2x), Dragon (1/2x), Steel (1/2x), Fairy (1/2x), and is immune to Poison (0x).

Is 齿轮怪 good in Gen 5 OverUsed?

齿轮怪 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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