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老翁龙
normaldragon Damage Calculator
Usage Percent
0%
Monthly Rank
#260
Base Stats for Drampa
HP
78
Atk
60
Def
85
SpA
135
SpD
91
Spe
36
Best Moves for Drampa
龙之波动
dragon
67.253%
流星群
dragon
62.021%
暴风
55.411%
大蛇瞪眼
normal
52.204%
巨声
normal
40.040%
守住
normal
34.625%
热风
fire
32.333%
帮助
normal
18.012%
喷射火焰
fire
6.252%
十万伏特
electric
5.580%
大声咆哮
dark
5.210%
打雷
electric
4.540%
Other
16.516%
Best Teammates for Drampa
Best Items for Drampa
Nothing
50.785%
文柚果
24.840%
突击背心
4.953%
生命宝珠
4.191%
爽喉喷雾
3.840%
力量镜
3.793%
芭亚果
2.108%
弱点保险
1.571%
Other
3.919%
Best Abilities for Drampa
食草
51.287%
怒火冲天
25.312%
无关天气
23.401%
Best EV Spreads for Drampa
冷静
92/
0/
116/
252/
44/
0
50.785%
悠闲
244/
0/
148/
116/
0/
0
15.135%
冷静
252/
0/
4/
252/
0/
0
13.131%
冷静
252/
0/
0/
252/
4/
0
9.615%
内敛
252/
0/
0/
252/
4/
0
5.599%
悠闲
212/
0/
188/
36/
68/
0
1.621%
Frequently Asked Questions
What are the best moves for Drampa in series7?
The top moves for Drampa in series7 are 龙之波动 (67.253%), 流星群 (62.021%), 暴风 (55.411%), 大蛇瞪眼 (52.204%). These represent the highest usage percentages on the competitive ladder.
What are the best teammates for Drampa?
Drampa synergizes well with Incineroar (63.764%), Dracovish (55.392%), Lapras (55.176%), Marowak-Alola (51.908%). These Pokemon frequently appear on teams together and cover each other's weaknesses.
What item should I use on Drampa?
The most popular items for Drampa are Nothing (50.785%), 文柚果 (24.840%), 突击背心 (4.953%). The best choice depends on your team composition and strategy.
What ability is best for Drampa?
The most common abilities for Drampa are 食草 (51.287%) and 怒火冲天 (25.312%). The choice often depends on your team's strategy.
What Tera Type should I use on Drampa?
Tera Type data is not available for this format or Pokemon.
What is the best EV spread for Drampa?
The most common EV spread for Drampa is 冷静 with 92/0/116/252/44/0 (50.785% usage). This build is optimized for the current metagame.
Is Drampa good in series7?
Drampa is currently ranked in the series7 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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