루브도

Damage Calculator
Usage Percent
0%
Monthly Rank
#225

Base Stats for 루브도

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

Best Moves for 루브도

끈적끈적네트
92.296%
버섯포자
86.881%
암석액스
61.443%
비검천중파
53.644%
볼부비부비
23.796%
독압정
13.467%
압정뿌리기
13.393%
스텔스록
13.198%
도발
12.814%
찍찍베기
4.803%
길동무
3.632%
고속스핀
2.770%
Other
17.861%

Best Items for 루브도

기합의띠
97.950%
Other
2.050%

Best Abilities for 루브도

마이페이스
92.138%
테크니션
7.862%

Best EV Spreads for 루브도

명랑
0/
252/
0/
0/
4/
252
59.967%
겁쟁이
252/
0/
0/
0/
4/
252
15.206%
겁쟁이
252/
0/
4/
0/
0/
252
12.063%
명랑
252/
4/
0/
0/
0/
252
3.390%
명랑
4/
252/
0/
0/
0/
252
2.902%
명랑
252/
0/
0/
0/
4/
252
1.849%

Type Matchups for 루브도

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

What are the best moves for 루브도 in Gen 7 Monotype?

The top moves for 루브도 in Gen 7 Monotype are 끈적끈적네트 (92.296%), 버섯포자 (86.881%), 암석액스 (61.443%), 비검천중파 (53.644%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 루브도?

루브도 synergizes well with Ursaluna (67.400%), Ditto (61.237%), Zoroark-Hisui (55.884%), Terapagos (49.893%). 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 (97.950%), Other (2.050%). The best choice depends on your team composition and strategy.

What ability is best for 루브도?

The most common abilities for 루브도 are 마이페이스 (92.138%) and 테크니션 (7.862%). 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 0/252/0/0/4/252 (59.967% 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 7 Monotype?

루브도 is currently ranked in the Gen 7 Monotype 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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