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宝石海星

Damage Calculator
Usage Percent
60%
Monthly Rank
#5

Base Stats for 宝石海星

HP
60
Atk
75
Def
85
SpA
100
SpD
85
Spe
115

Best Moves for 宝石海星

自我再生
99.747%
电磁波
98.526%
暴风雪
63.079%
精神强念
57.071%
十万伏特
54.358%
冲浪
23.929%
Other
3.290%

Best Teammates for 宝石海星

Best Items for 宝石海星

Nothing
100.000%

Best Abilities for 宝石海星

No Ability
100.000%

Best EV Spreads for 宝石海星

勤奋
252/
252/
252/
252/
252/
252
78.388%
勤奋
252/
0/
252/
252/
252/
252
21.612%

Type Matchups for 宝石海星

Weak
Electric 2x Grass 2x Bug 2x Ghost 2x Dark 2x
Resist
Fire 1/2x Water 1/2x Ice 1/2x Fighting 1/2x Psychic 1/2x Steel 1/2x
Immune
None
Frequently Asked Questions

What are the best moves for 宝石海星 in Gen 1 OverUsed?

The top moves for 宝石海星 in Gen 1 OverUsed are 自我再生 (99.747%), 电磁波 (98.526%), 暴风雪 (63.079%), 精神强念 (57.071%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 宝石海星?

宝石海星 synergizes well with Tauros (97.372%), Snorlax (90.427%), Exeggutor (76.186%), Chansey (65.992%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 宝石海星?

The most popular items for 宝石海星 are Nothing (100.000%). The best choice depends on your team composition and strategy.

What ability is best for 宝石海星?

The most common abilities for 宝石海星 are No Ability (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 宝石海星?

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

What is the best EV spread for 宝石海星?

The most common EV spread for 宝石海星 is 勤奋 with 252/252/252/252/252/252 (78.388% usage). This build is optimized for the current metagame.

What is 宝石海星 weak to and resistant against?

宝石海星 is weak to Electric (2x), Grass (2x), Bug (2x), Ghost (2x), Dark (2x), resists Fire (1/2x), Water (1/2x), Ice (1/2x), Fighting (1/2x), Psychic (1/2x), Steel (1/2x), and is immune to no attacking types.

Is 宝石海星 good in Gen 1 OverUsed?

宝石海星 is currently ranked in the Gen 1 OverUsed 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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