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내룸벨트

Damage Calculator
Usage Percent
0%
Monthly Rank
#249

Base Stats for 내룸벨트

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

Best Moves for 내룸벨트

방어
84.685%
은혜갚기
78.002%
불꽃펀치
74.771%
배북
73.069%
객기
21.231%
탁쳐서떨구기
15.520%
불대문자
15.294%
아쿠아테일
15.291%
분함의발구르기
5.189%
Other
16.948%

Best Teammates for 내룸벨트

Best Items for 내룸벨트

자뭉열매
73.516%
리샘열매
15.291%
무화열매
6.636%
Other
4.558%

Best Abilities for 내룸벨트

날씨부정
98.020%
둔감
1.713%
마이페이스
0.267%

Best EV Spreads for 내룸벨트

건방
252/
4/
4/
0/
244/
0
50.707%
건방
244/
4/
12/
0/
244/
0
22.349%
고집
252/
0/
124/
0/
128/
0
15.291%
고집
116/
116/
76/
0/
200/
0
4.923%
성실
252/
4/
0/
0/
0/
252
4.228%

Type Matchups for 내룸벨트

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

What are the best moves for 내룸벨트 in VGC 18?

The top moves for 내룸벨트 in VGC 18 are 방어 (84.685%), 은혜갚기 (78.002%), 불꽃펀치 (74.771%), 배북 (73.069%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 내룸벨트?

내룸벨트 synergizes well with Landorus-Therian (89.545%), Tapu Fini (89.301%), Cresselia (88.583%), Incineroar (73.060%). 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 자뭉열매 (73.516%), 리샘열매 (15.291%), 무화열매 (6.636%). The best choice depends on your team composition and strategy.

What ability is best for 내룸벨트?

The most common abilities for 내룸벨트 are 날씨부정 (98.020%) and 둔감 (1.713%). 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 건방 with 252/4/4/0/244/0 (50.707% 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 VGC 18?

내룸벨트 is currently ranked in the VGC 18 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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