오롱털

Damage Calculator
Usage Percent
1%
Monthly Rank
#42

Base Stats for 오롱털

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

Best Moves for 오롱털

속이기
59.769%
막말내뱉기
57.313%
방어
55.856%
트릭
55.856%
리플렉터
44.144%
빛의장막
44.144%
전기자석파
42.687%
소울크래시
40.230%

Best Items for 오롱털

검은철구
55.856%
멘탈허브
38.773%
아바열매
3.913%
Other
1.458%

Best Abilities for 오롱털

짓궂은마음
96.087%
통찰
3.913%

Best EV Spreads for 오롱털

신중
252/
4/
0/
0/
252/
0
55.856%
무사태평
132/
0/
124/
0/
252/
0
38.773%
장난꾸러기
0/
0/
124/
0/
128/
252
3.913%

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 2023 Regulation Set C?

The top moves for 오롱털 in VGC 2023 Regulation Set C are 속이기 (59.769%), 막말내뱉기 (57.313%), 방어 (55.856%), 트릭 (55.856%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 오롱털?

오롱털 synergizes well with Iron Bundle (53.845%), Amoonguss (49.933%), Annihilape (49.933%), Dragonite (49.932%). 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 검은철구 (55.856%), 멘탈허브 (38.773%), 아바열매 (3.913%). The best choice depends on your team composition and strategy.

What ability is best for 오롱털?

The most common abilities for 오롱털 are 짓궂은마음 (96.087%) and 통찰 (3.913%). 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 252/4/0/0/252/0 (55.856% 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 2023 Regulation Set C?

오롱털 is currently ranked in the VGC 2023 Regulation Set C 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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