내룸벨트

Damage Calculator
Usage Percent
0%
Monthly Rank
#326

Base Stats for 내룸벨트

HP
110
Atk
85
Def
95
SpA
80
SpD
95
Spe
50

Best Moves for 내룸벨트

지진
91.191%
대폭발
82.096%
은혜갚기
58.826%
불꽃펀치
54.467%
탁쳐서떨구기
36.211%
누르기
24.512%
Nothing
11.745%
기합구슬
8.519%
눈보라
8.519%
냉동펀치
3.995%
Other
19.919%

Best Items for 내룸벨트

구애머리띠
80.676%
생명의구슬
10.583%
먹다남은음식
5.890%
Other
2.850%

Best Abilities for 내룸벨트

날씨부정
90.212%
둔감
7.645%
마이페이스
2.144%

Best EV Spreads for 내룸벨트

고집
248/
252/
0/
0/
8/
0
54.702%
고집
252/
252/
4/
0/
0/
0
22.577%
용감
96/
160/
0/
0/
252/
0
8.519%
고집
252/
252/
0/
0/
0/
4
3.751%
노력
252/
16/
120/
0/
120/
0
3.643%
고집
252/
252/
0/
0/
0/
0
2.300%

Type Matchups for 내룸벨트

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

What are the best moves for 내룸벨트 in OU?

The top moves for 내룸벨트 in OU are 지진 (91.191%), 대폭발 (82.096%), 은혜갚기 (58.826%), 불꽃펀치 (54.467%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 내룸벨트?

내룸벨트 synergizes well with Ferrothorn (54.365%), Greninja (54.360%), Cresselia (54.359%), Mawile-Mega (54.359%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 내룸벨트?

The most popular items for 내룸벨트 are 구애머리띠 (80.676%), 생명의구슬 (10.583%), 먹다남은음식 (5.890%). The best choice depends on your team composition and strategy.

What ability is best for 내룸벨트?

The most common abilities for 내룸벨트 are 날씨부정 (90.212%) and 둔감 (7.645%). The choice often depends on your team's strategy.

What Tera Type should I use on 내룸벨트?

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

What is the best EV spread for 내룸벨트?

The most common EV spread for 내룸벨트 is 고집 with 248/252/0/0/8/0 (54.702% usage). This build is optimized for the current metagame.

What is 내룸벨트 weak to and resistant against?

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

Is 내룸벨트 good in OU?

내룸벨트 is currently ranked in the OU 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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