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Base Stats for Grimmsnarl
HP
95
Atk
120
Def
65
SpA
95
SpD
75
Spe
60
Best Moves for Grimmsnarl
光墙
psychic
79.200%
反射壁
psychic
71.000%
灵魂冲击
fairy
65.200%
电磁波
electric
62.800%
击掌奇袭
normal
34.000%
欺诈
dark
19.000%
抛下狠话
dark
15.800%
鬼面
normal
11.800%
突袭
dark
9.400%
挑衅
dark
9.200%
Best Teammates for Grimmsnarl
Best Tera Types for Grimmsnarl
Ghost
Ghost
45.800%
Steel
Steel
25.000%
Fire
Fire
20.800%
Poison
Poison
4.200%
Fairy
Fairy
4.200%
Best Items for Grimmsnarl
光之黏土
60.300%
Covert Cloak
21.400%
后攻之尾
6.900%
凸凸头盔
6.800%
广角镜
2.300%
防尘护目镜
1.000%
文柚果
0.700%
木子果
0.500%
黑色眼镜
0.200%
洛玫果
0.000%
Best Abilities for Grimmsnarl
恶作剧之心
100.000%
Careful
54.900%
Impish
35.500%
Adamant
4.700%
Calm
2.300%
Bold
1.100%
Jolly
0.600%
Timid
0.400%
Sassy
0.300%
Modest
0.100%
Frequently Asked Questions
What are the best moves for Grimmsnarl in homebsd?
The top moves for Grimmsnarl in homebsd are 光墙 (79.2%), 反射壁 (71.0%), 灵魂冲击 (65.2%), 电磁波 (62.8%). These represent the highest usage percentages on the competitive ladder.
What are the best teammates for Grimmsnarl?
Grimmsnarl synergizes well with Incineroar (undefined%), Miraidon (undefined%), Rillaboom (undefined%), Calyrex-Shadow (undefined%). These Pokemon frequently appear on teams together and cover each other's weaknesses.
What item should I use on Grimmsnarl?
The most popular items for Grimmsnarl are 光之黏土 (60.3%), Covert Cloak (21.4%), 后攻之尾 (6.9%). The best choice depends on your team composition and strategy.
What ability is best for Grimmsnarl?
The most common abilities for Grimmsnarl are 恶作剧之心 (100.0%). The choice often depends on your team's strategy.
What Tera Type should I use on Grimmsnarl?
The most popular Tera Types for Grimmsnarl are Ghost (45.8%), Steel (25.0%), Fire (20.8%). Tera Ghost is the most common choice.
What is the best EV spread for Grimmsnarl?
The most common nature for Grimmsnarl is Careful.
Is Grimmsnarl good in homebsd?
Grimmsnarl is currently ranked in the homebsd 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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