루브도

Damage Calculator
Usage Percent
0%
Monthly Rank
#180

Base Stats for 루브도

HP
55
Atk
20
Def
35
SpA
20
SpD
45
Spe
75

Best Moves for 루브도

끈적끈적네트
92.925%
암석액스
65.658%
버섯포자
54.002%
화염의수호
45.125%
볼부비부비
41.959%
죽기살기
29.945%
고속스핀
26.570%
울부짖기
15.848%
스텔스록
4.789%
뱀눈초리
3.724%
Other
19.456%

Best Items for 루브도

기합의띠
97.202%
Other
2.798%

Best Abilities for 루브도

마이페이스
72.521%
테크니션
27.479%

Best EV Spreads for 루브도

명랑
252/
0/
4/
0/
0/
252
40.396%
명랑
0/
252/
4/
0/
0/
252
26.171%
명랑
252/
4/
0/
0/
0/
252
18.549%
명랑
0/
252/
0/
0/
4/
252
4.611%
겁쟁이
248/
0/
4/
0/
4/
252
3.545%
명랑
0/
252/
0/
0/
0/
252
3.202%

Type Matchups for 루브도

Weak
Fighting 2x
Resist
None
Immune
Ghost 0x
Frequently Asked Questions

What are the best moves for 루브도 in Gen 9 National Dex?

The top moves for 루브도 in Gen 9 National Dex are 끈적끈적네트 (92.925%), 암석액스 (65.658%), 버섯포자 (54.002%), 화염의수호 (45.125%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 루브도?

루브도 synergizes well with Gholdengo (63.238%), Great Tusk (60.318%), Ogerpon-Wellspring (58.382%), Raging Bolt (43.302%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 루브도?

The most popular items for 루브도 are 기합의띠 (97.202%), Other (2.798%). The best choice depends on your team composition and strategy.

What ability is best for 루브도?

The most common abilities for 루브도 are 마이페이스 (72.521%) and 테크니션 (27.479%). The choice often depends on your team's strategy.

What Tera Type should I use on 루브도?

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

What is the best EV spread for 루브도?

The most common EV spread for 루브도 is 명랑 with 252/0/4/0/0/252 (40.396% usage). This build is optimized for the current metagame.

What is 루브도 weak to and resistant against?

루브도 is weak to Fighting (2x), resists no attacking types, and is immune to Ghost (0x).

Is 루브도 good in Gen 9 National Dex?

루브도 is currently ranked in the Gen 9 National Dex 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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