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酷豹
dark Damage Calculator
Usage Percent
0%
Monthly Rank
#361
Base Stats for Liepard
HP
64
Atk
88
Def
50
SpA
88
SpD
50
Spe
106
Best Moves for Liepard
仿效
normal
64.449%
再来一次
normal
50.067%
恶之波动
dark
40.409%
急速折返
bug
39.595%
欺诈
dark
37.753%
诡计
dark
36.501%
电磁波
electric
35.155%
击掌奇袭
normal
21.621%
拍落
dark
11.545%
挑衅
dark
9.702%
哈欠
normal
9.472%
撒娇
fairy
8.517%
大晴天
fire
8.264%
替身
normal
6.495%
突袭
dark
6.125%
Other
14.330%
Best Teammates for Liepard
Best Items for Liepard
吃剩的东西
38.057%
恶Ｚ
26.894%
气势披带
21.624%
炽热岩石
8.264%
讲究围巾
2.572%
Other
2.590%
Best Abilities for Liepard
恶作剧之心
92.032%
轻装
6.503%
柔软
1.465%
Best EV Spreads for Liepard
淘气
252/
4/
252/
0/
0/
0
30.140%
胆小
0/
0/
0/
252/
4/
252
28.432%
爽朗
0/
252/
0/
0/
0/
252
9.976%
爽朗
0/
252/
4/
0/
0/
252
7.528%
内敛
0/
4/
0/
252/
0/
252
6.215%
天真
0/
0/
0/
252/
4/
252
3.764%
Frequently Asked Questions
What are the best moves for Liepard in ou?
The top moves for Liepard in ou are 仿效 (64.449%), 再来一次 (50.067%), 恶之波动 (40.409%), 急速折返 (39.595%). These represent the highest usage percentages on the competitive ladder.
What are the best teammates for Liepard?
Liepard synergizes well with Tapu Bulu (36.214%), Honchkrow (32.102%), Drapion (28.348%), Mandibuzz (28.348%). These Pokemon frequently appear on teams together and cover each other's weaknesses.
What item should I use on Liepard?
The most popular items for Liepard are 吃剩的东西 (38.057%), 恶Ｚ (26.894%), 气势披带 (21.624%). The best choice depends on your team composition and strategy.
What ability is best for Liepard?
The most common abilities for Liepard are 恶作剧之心 (92.032%) and 轻装 (6.503%). The choice often depends on your team's strategy.
What Tera Type should I use on Liepard?
Tera Type data is not available for this format or Pokemon.
What is the best EV spread for Liepard?
The most common EV spread for Liepard is 淘气 with 252/4/252/0/0/0 (30.140% usage). This build is optimized for the current metagame.
Is Liepard good in ou?
Liepard is currently ranked in the ou 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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