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浩大鲸

Damage Calculator
Usage Percent
0%
Monthly Rank
#137

Base Stats for 浩大鲸

HP
170
Atk
113
Def
65
SpA
45
SpD
55
Spe
73

Best Moves for 浩大鲸

腹鼓
98.779%
地震
96.734%
冰砾
95.796%
冰柱坠击
71.522%
冰旋
14.714%
拍落
14.286%
Other
8.170%

Best Teammates for 浩大鲸

Best Items for 浩大鲸

文柚果
98.273%
Other
1.727%

Best Abilities for 浩大鲸

拨雪
99.175%
厚脂肪
0.768%
强行
0.058%

Best EV Spreads for 浩大鲸

爽朗
4/
252/
0/
0/
0/
252
85.867%
爽朗
0/
252/
4/
0/
0/
252
7.190%
固执
4/
252/
0/
0/
0/
252
3.995%

Type Matchups for 浩大鲸

Weak
Fire 2x Fighting 2x Rock 2x Steel 2x
Resist
Ice 1/2x
Immune
None
Ability notes
Thick Fat: Fire and Ice damage are reduced.
Frequently Asked Questions

What are the best moves for 浩大鲸 in Gen 7 Monotype?

The top moves for 浩大鲸 in Gen 7 Monotype are 腹鼓 (98.779%), 地震 (96.734%), 冰砾 (95.796%), 冰柱坠击 (71.522%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 浩大鲸?

浩大鲸 synergizes well with Ninetales-Alola (95.463%), Kyurem (78.866%), Avalugg (78.507%), Weavile (68.148%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 浩大鲸?

The most popular items for 浩大鲸 are 文柚果 (98.273%), Other (1.727%). The best choice depends on your team composition and strategy.

What ability is best for 浩大鲸?

The most common abilities for 浩大鲸 are 拨雪 (99.175%) and 厚脂肪 (0.768%). The choice often depends on your team's strategy.

What Tera Type should I use on 浩大鲸?

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

What is the best EV spread for 浩大鲸?

The most common EV spread for 浩大鲸 is 爽朗 with 4/252/0/0/0/252 (85.867% usage). This build is optimized for the current metagame.

What is 浩大鲸 weak to and resistant against?

浩大鲸 is weak to Fire (2x), Fighting (2x), Rock (2x), Steel (2x), resists Ice (1/2x), and is immune to no attacking types. Ability notes: Thick Fat: Fire and Ice damage are reduced.

Is 浩大鲸 good in Gen 7 Monotype?

浩大鲸 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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