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九尾

Damage Calculator
Usage Percent
1%
Monthly Rank
#105

Base Stats for 九尾

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

Best Moves for 九尾

月亮之力
91.461%
冷冻干燥
86.790%
极光幕
71.032%
再来一次
69.376%
暴风雪
43.048%
诡计
16.733%
冰冻光束
7.418%
Other
14.142%

Best Teammates for 九尾

Best Items for 九尾

光之黏土
34.306%
冰冷岩石
33.989%
厚底靴
17.339%
讲究眼镜
10.265%
Other
4.101%

Best Abilities for 九尾

降雪
100.000%

Best EV Spreads for 九尾

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

Type Matchups for 九尾

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 九尾 in Gen 7 Monotype?

The top moves for 九尾 in Gen 7 Monotype are 月亮之力 (91.461%), 冷冻干燥 (86.790%), 极光幕 (71.032%), 再来一次 (69.376%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 九尾?

九尾 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 九尾?

The most popular items for 九尾 are 光之黏土 (34.306%), 冰冷岩石 (33.989%), 厚底靴 (17.339%). The best choice depends on your team composition and strategy.

What ability is best for 九尾?

The most common abilities for 九尾 are 降雪 (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 九尾?

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

What is the best EV spread for 九尾?

The most common EV spread for 九尾 is 胆小 with 0/0/0/252/4/252 (77.961% usage). This build is optimized for the current metagame.

What is 九尾 weak to and resistant against?

九尾 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 九尾 good in Gen 7 Monotype?

九尾 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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