나인테일

Damage Calculator
Usage Percent
1%
Monthly Rank
#105

Base Stats for 나인테일

HP
73
Atk
67
Def
75
SpA
81
SpD
100
Spe
109

Best Moves for 나인테일

문포스
91.461%
프리즈드라이
86.790%
오로라베일
71.032%
앙코르
69.376%
눈보라
43.048%
나쁜음모
16.733%
냉동빔
7.418%
Other
14.142%

Best Items for 나인테일

빛의점토
34.306%
차가운바위
33.989%
통굽부츠
17.339%
구애안경
10.265%
Other
4.101%

Best Abilities for 나인테일

눈퍼뜨리기
100.000%

Best EV Spreads for 나인테일

겁쟁이
0/
0/
0/
252/
4/
252
77.961%
겁쟁이
252/
0/
0/
0/
4/
252
11.153%
겁쟁이
0/
0/
4/
252/
0/
252
4.198%
겁쟁이
4/
0/
0/
252/
0/
252
2.019%

Type Matchups for 나인테일

Weak
Steel 4x Fire 2x Poison 2x Rock 2x
Resist
Ice 1/2x Bug 1/2x Dark 1/2x
Immune
Dragon 0x
Frequently Asked Questions

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

The top moves for 나인테일 in Gen 7 Monotype are 문포스 (91.461%), 프리즈드라이 (86.790%), 오로라베일 (71.032%), 앙코르 (69.376%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 나인테일?

나인테일 synergizes well with Kyurem (61.399%), Avalugg (50.819%), Mamoswine (45.479%), Weavile (41.341%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 나인테일?

The most popular items for 나인테일 are 빛의점토 (34.306%), 차가운바위 (33.989%), 통굽부츠 (17.339%). The best choice depends on your team composition and strategy.

What ability is best for 나인테일?

The most common abilities for 나인테일 are 눈퍼뜨리기 (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 나인테일?

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

What is the best EV spread for 나인테일?

The most common EV spread for 나인테일 is 겁쟁이 with 0/0/0/252/4/252 (77.961% usage). This build is optimized for the current metagame.

What is 나인테일 weak to and resistant against?

나인테일 is weak to Steel (4x), Fire (2x), Poison (2x), Rock (2x), resists Ice (1/2x), Bug (1/2x), Dark (1/2x), and is immune to Dragon (0x).

Is 나인테일 good in Gen 7 Monotype?

나인테일 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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