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노보청

Damage Calculator
Usage Percent
0%
Monthly Rank
#178

Base Stats for 노보청

HP
105
Atk
140
Def
95
SpA
55
SpD
65
Spe
45

Best Moves for 노보청

드레인펀치
68.503%
마하펀치
51.997%
탁쳐서떨구기
45.890%
객기
44.802%
냉동펀치
31.999%
방어
31.290%
인파이트
29.946%
와이드가드
21.245%
불꽃펀치
16.449%
스톤샤워
16.295%
코칭
15.299%
10만마력
7.353%
Other
18.933%

Best Teammates for 노보청

Best Items for 노보청

화염구슬
65.786%
자뭉열매
15.587%
돌격조끼
5.126%
먹다남은음식
5.065%
Clear Amulet
4.767%
Other
3.669%

Best Abilities for 노보청

근성
72.480%
우격다짐
16.073%
철주먹
11.447%

Best EV Spreads for 노보청

용감
252/
252/
0/
0/
4/
0
27.928%
개구쟁이
252/
252/
4/
0/
0/
0
14.993%
용감
8/
252/
4/
0/
244/
0
13.350%
고집
248/
252/
0/
0/
8/
0
9.776%
고집
248/
16/
0/
0/
228/
16
6.020%
고집
252/
252/
0/
0/
4/
0
5.271%
Frequently Asked Questions

What are the best moves for 노보청 in Gen 9 Doubles OU Scarlet & Violet?

The top moves for 노보청 in Gen 9 Doubles OU Scarlet & Violet are 드레인펀치 (68.503%), 마하펀치 (51.997%), 탁쳐서떨구기 (45.890%), 객기 (44.802%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 노보청?

노보청 synergizes well with Ursaluna (40.708%), Amoonguss (40.029%), Farigiraf (35.987%), Indeedee-F (34.550%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 노보청?

The most popular items for 노보청 are 화염구슬 (65.786%), 자뭉열매 (15.587%), 돌격조끼 (5.126%). The best choice depends on your team composition and strategy.

What ability is best for 노보청?

The most common abilities for 노보청 are 근성 (72.480%) and 우격다짐 (16.073%). The choice often depends on your team's strategy.

What Tera Type should I use on 노보청?

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

What is the best EV spread for 노보청?

The most common EV spread for 노보청 is 용감 with 252/252/0/0/4/0 (27.928% usage). This build is optimized for the current metagame.

Is 노보청 good in Gen 9 Doubles OU Scarlet & Violet?

노보청 is currently ranked in the Gen 9 Doubles OU Scarlet & Violet 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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