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奇诺栗鼠

Damage Calculator
Usage Percent
0%
Monthly Rank
#197

Base Stats for 奇诺栗鼠

HP
75
Atk
95
Def
60
SpA
65
SpD
60
Spe
115

Best Moves for 奇诺栗鼠

守住
94.175%
三旋击
92.933%
岩石爆击
91.684%
拍落
88.350%
扫尾拍打
12.722%
种子机关枪
10.531%
Other
9.605%

Best Items for 奇诺栗鼠

Loaded Dice
96.773%
Other
3.227%

Best Abilities for 奇诺栗鼠

技术高手
97.074%
连续攻击
2.901%
迷人之躯
0.025%

Best EV Spreads for 奇诺栗鼠

固执
4/
252/
0/
0/
0/
252
72.820%
固执
0/
252/
0/
0/
0/
252
14.417%
固执
84/
212/
0/
0/
0/
212
5.135%
胆小
252/
0/
4/
0/
0/
252
2.368%
爽朗
4/
252/
0/
0/
0/
252
2.198%

Type Matchups for 奇诺栗鼠

Weak
Fighting 2x
Resist
None
Immune
Ghost 0x
Frequently Asked Questions

What are the best moves for 奇诺栗鼠 in VGC 2025 Regulation Set I?

The top moves for 奇诺栗鼠 in VGC 2025 Regulation Set I are 守住 (94.175%), 三旋击 (92.933%), 岩石爆击 (91.684%), 拍落 (88.350%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 奇诺栗鼠?

奇诺栗鼠 synergizes well with Miraidon (83.249%), Zamazenta-Crowned (82.435%), Chien-Pao (77.721%), Whimsicott (72.832%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 奇诺栗鼠?

The most popular items for 奇诺栗鼠 are Loaded Dice (96.773%), Other (3.227%). The best choice depends on your team composition and strategy.

What ability is best for 奇诺栗鼠?

The most common abilities for 奇诺栗鼠 are 技术高手 (97.074%) and 连续攻击 (2.901%). The choice often depends on your team's strategy.

What Tera Type should I use on 奇诺栗鼠?

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

What is the best EV spread for 奇诺栗鼠?

The most common EV spread for 奇诺栗鼠 is 固执 with 4/252/0/0/0/252 (72.820% usage). This build is optimized for the current metagame.

What is 奇诺栗鼠 weak to and resistant against?

奇诺栗鼠 is weak to Fighting (2x), resists no attacking types, and is immune to Ghost (0x).

Is 奇诺栗鼠 good in VGC 2025 Regulation Set I?

奇诺栗鼠 is currently ranked in the VGC 2025 Regulation Set I 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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