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老翁龙
normaldragon Damage Calculator
Usage Percent
1%
Monthly Rank
#126
Base Stats for Drampa
HP
78
Atk
60
Def
85
SpA
135
SpD
91
Spe
36
Best Moves for Drampa
巨声
normal
82.240%
热风
fire
49.180%
暴风雪
ice
42.305%
冲浪
water
42.132%
喷射火焰
fire
28.940%
龙之波动
dragon
22.489%
大字爆炎
fire
20.505%
守住
normal
20.279%
流星群
dragon
17.327%
能量球
grass
13.199%
神通力
psychic
11.922%
真气弹
fighting
8.704%
羽栖
8.420%
暗影球
ghost
7.421%
冰冻光束
ice
5.213%
Other
19.723%
Best Teammates for Drampa
Best Items for Drampa
讲究眼镜
60.853%
生命宝珠
16.448%
异奇果
5.874%
丝绸围巾
4.468%
木子果
4.459%
乐芭果
3.725%
Other
4.173%
Best Abilities for Drampa
怒火冲天
73.796%
无关天气
13.200%
食草
13.004%
Best EV Spreads for Drampa
冷静
0/
0/
160/
252/
96/
0
41.602%
冷静
252/
0/
4/
252/
0/
0
18.127%
冷静
248/
0/
8/
252/
0/
0
11.767%
冷静
248/
0/
0/
252/
8/
0
8.025%
内敛
248/
0/
0/
252/
8/
0
5.246%
冷静
228/
0/
68/
212/
0/
0
4.538%
Frequently Asked Questions
What are the best moves for Drampa in dou?
The top moves for Drampa in dou are 巨声 (82.240%), 热风 (49.180%), 暴风雪 (42.305%), 冲浪 (42.132%). These represent the highest usage percentages on the competitive ladder.
What are the best teammates for Drampa?
Drampa synergizes well with Wishiwashi (40.723%), Jellicent (40.467%), Slowbro-Mega (40.462%), Rhyperior (39.373%). 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 讲究眼镜 (60.853%), 生命宝珠 (16.448%), 异奇果 (5.874%). The best choice depends on your team composition and strategy.
What ability is best for Drampa?
The most common abilities for Drampa are 怒火冲天 (73.796%) and 无关天气 (13.200%). 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 0/0/160/252/96/0 (41.602% usage). This build is optimized for the current metagame.
Is Drampa good in dou?
Drampa is currently ranked in the dou 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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