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폴리곤2

Damage Calculator
Usage Percent
3%
Monthly Rank
#36

Base Stats for 폴리곤2

HP
85
Atk
80
Def
90
SpA
105
SpD
95
Spe
60

Best Moves for 폴리곤2

트릭룸
95.378%
HP회복
94.783%
냉동빔
91.424%
10만볼트
52.894%
섀도볼
17.453%
은혜갚기
14.270%
맹독
9.700%
속임수
7.680%
Other
16.419%

Best Teammates for 폴리곤2

Best Items for 폴리곤2

진화의휘석
99.979%
Other
0.021%

Best Abilities for 폴리곤2

다운로드
81.642%
애널라이즈
10.665%
트레이스
7.693%

Best EV Spreads for 폴리곤2

건방
244/
60/
92/
4/
108/
0
7.712%
냉정
244/
0/
252/
0/
12/
0
5.956%
건방
244/
0/
68/
0/
196/
0
5.293%
건방
244/
0/
108/
0/
156/
0
5.155%
건방
244/
0/
156/
0/
108/
0
4.835%
건방
244/
0/
116/
4/
140/
0
4.164%

Type Matchups for 폴리곤2

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

What are the best moves for 폴리곤2 in VGC 18?

The top moves for 폴리곤2 in VGC 18 are 트릭룸 (95.378%), HP회복 (94.783%), 냉동빔 (91.424%), 10만볼트 (52.894%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 폴리곤2?

폴리곤2 synergizes well with Incineroar (66.122%), Tapu Koko (58.428%), Metagross-Mega (28.254%), Araquanid (24.090%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 폴리곤2?

The most popular items for 폴리곤2 are 진화의휘석 (99.979%), Other (0.021%). The best choice depends on your team composition and strategy.

What ability is best for 폴리곤2?

The most common abilities for 폴리곤2 are 다운로드 (81.642%) and 애널라이즈 (10.665%). The choice often depends on your team's strategy.

What Tera Type should I use on 폴리곤2?

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

What is the best EV spread for 폴리곤2?

The most common EV spread for 폴리곤2 is 건방 with 244/60/92/4/108/0 (7.712% usage). This build is optimized for the current metagame.

What is 폴리곤2 weak to and resistant against?

폴리곤2 is weak to Fighting (2x), resists no attacking types, and is immune to Ghost (0x).

Is 폴리곤2 good in VGC 18?

폴리곤2 is currently ranked in the VGC 18 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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