黏美龙

Damage Calculator
Usage Percent
0%
Monthly Rank
#78

Base Stats for 黏美龙

HP
90
Atk
100
Def
70
SpA
110
SpD
150
Spe
80

Best Moves for 黏美龙

强力鞭打
99.741%
蛮力
99.723%
广域破坏
99.364%
跺脚
99.360%
Other
1.811%

Best Items for 黏美龙

突击背心
99.952%
Other
0.048%

Best Abilities for 黏美龙

食草
99.862%
湿润之躯
0.124%
黏滑
0.014%

Best EV Spreads for 黏美龙

固执
252/
244/
0/
0/
0/
12
99.359%

Type Matchups for 黏美龙

Weak
Ice 2x Dragon 2x Fairy 2x
Resist
Fire 1/2x Water 1/2x Electric 1/2x Grass 1/2x
Immune
None
Ability notes
Sap Sipper: Grass moves become 0x.
Frequently Asked Questions

What are the best moves for 黏美龙 in VGC 2022 Series 12?

The top moves for 黏美龙 in VGC 2022 Series 12 are 强力鞭打 (99.741%), 蛮力 (99.723%), 广域破坏 (99.364%), 跺脚 (99.360%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 黏美龙?

黏美龙 synergizes well with Zacian-Crowned (92.380%), Comfey (92.257%), Calyrex-Shadow (92.254%), Centiskorch (92.252%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 黏美龙?

The most popular items for 黏美龙 are 突击背心 (99.952%), Other (0.048%). The best choice depends on your team composition and strategy.

What ability is best for 黏美龙?

The most common abilities for 黏美龙 are 食草 (99.862%) and 湿润之躯 (0.124%). The choice often depends on your team's strategy.

What Tera Type should I use on 黏美龙?

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

What is the best EV spread for 黏美龙?

The most common EV spread for 黏美龙 is 固执 with 252/244/0/0/0/12 (99.359% usage). This build is optimized for the current metagame.

What is 黏美龙 weak to and resistant against?

黏美龙 is weak to Ice (2x), Dragon (2x), Fairy (2x), resists Fire (1/2x), Water (1/2x), Electric (1/2x), Grass (1/2x), and is immune to no attacking types. Ability notes: Sap Sipper: Grass moves become 0x.

Is 黏美龙 good in VGC 2022 Series 12?

黏美龙 is currently ranked in the VGC 2022 Series 12 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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