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오롱털

Damage Calculator
Usage Percent
30%
Monthly Rank
#5

Base Stats for 오롱털

HP
95
Atk
120
Def
65
SpA
95
SpD
75
Spe
60

Best Moves for 오롱털

리플렉터
99.825%
빛의장막
99.786%
전기자석파
88.153%
소울크래시
87.985%
속이기
11.973%
Other
12.278%

Best Teammates for 오롱털

Best Items for 오롱털

빛의점토
99.786%
Other
0.214%

Best Abilities for 오롱털

짓궂은마음
100.000%

Best EV Spreads for 오롱털

신중
228/
0/
204/
0/
76/
0
63.275%
신중
244/
4/
132/
0/
116/
12
14.618%
명랑
60/
0/
124/
0/
140/
180
11.428%
신중
252/
4/
68/
0/
180/
4
6.828%

Type Matchups for 오롱털

Weak
Poison 2x Steel 2x Fairy 2x
Resist
Dark 1/4x Ghost 1/2x
Immune
Psychic 0x Dragon 0x
Frequently Asked Questions

What are the best moves for 오롱털 in VGC 2024 Regulation Set G?

The top moves for 오롱털 in VGC 2024 Regulation Set G are 리플렉터 (99.825%), 빛의장막 (99.786%), 전기자석파 (88.153%), 소울크래시 (87.985%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 오롱털?

오롱털 synergizes well with Incineroar (91.981%), Kyogre (80.553%), Wo-Chien (77.892%), Farigiraf (77.888%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 오롱털?

The most popular items for 오롱털 are 빛의점토 (99.786%), Other (0.214%). The best choice depends on your team composition and strategy.

What ability is best for 오롱털?

The most common abilities for 오롱털 are 짓궂은마음 (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 오롱털?

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

What is the best EV spread for 오롱털?

The most common EV spread for 오롱털 is 신중 with 228/0/204/0/76/0 (63.275% usage). This build is optimized for the current metagame.

What is 오롱털 weak to and resistant against?

오롱털 is weak to Poison (2x), Steel (2x), Fairy (2x), resists Dark (1/4x), Ghost (1/2x), and is immune to Psychic (0x), Dragon (0x).

Is 오롱털 good in VGC 2024 Regulation Set G?

오롱털 is currently ranked in the VGC 2024 Regulation Set G 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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