勾魂眼

Name: Sableye Competitive Usage Stats - homebss
Creator: Pikalytics
License: https://creativecommons.org/licenses/by-nc/4.0/

darkghost

Damage Calculator

Monthly Rank

#141

Base Stats for Sableye

Atk

Def

SpA

SpD

Spe

Best Moves for Sableye

再来一次

normal

70.800%

定身法

normal

53.100%

欺诈

dark

51.800%

光墙

psychic

48.700%

反射壁

psychic

48.700%

拍落

dark

26.500%

电磁波

electric

19.000%

守住

normal

16.400%

挑衅

dark

13.300%

自我再生

normal

13.300%

Best Teammates for Sableye

Best Tera Types for Sableye

Normal

40.000%

Ground

40.000%

Fairy

20.000%

Best Items for Sableye

光之黏土

59.000%

吃剩的东西

18.100%

凸凸头盔

17.100%

厚底靴

2.900%

后攻之尾

1.900%

气势披带

1.000%

Best Abilities for Sableye

恶作剧之心

100.000%

性格

Impish

55.200%

Calm

19.000%

Careful

10.500%

Sassy

8.600%

Bold

6.700%

Frequently Asked Questions

What are the best moves for Sableye in homebss?

The top moves for Sableye in homebss are 再来一次 (70.8%), 定身法 (53.1%), 欺诈 (51.8%), 光墙 (48.7%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Sableye?

Sableye synergizes well with Miraidon (undefined%), Breloom (undefined%), Kyogre (undefined%), Skeledirge (undefined%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Sableye?

The most popular items for Sableye are 光之黏土 (59.0%), 吃剩的东西 (18.1%), 凸凸头盔 (17.1%). The best choice depends on your team composition and strategy.

What ability is best for Sableye?

The most common abilities for Sableye are 恶作剧之心 (100.0%). The choice often depends on your team's strategy.

What Tera Type should I use on Sableye?

The most popular Tera Types for Sableye are Normal (40.0%), Ground (40.0%), Fairy (20.0%). Tera Normal is the most common choice.

What is the best EV spread for Sableye?

The most common nature for Sableye is Impish.

Is Sableye good in homebss?

Sableye is currently ranked in the homebss 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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