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拉帝亚斯
dragonpsychic Damage Calculator
Usage Percent
0%
Monthly Rank
#153
Base Stats for Latias
HP
80
Atk
80
Def
90
SpA
110
SpD
130
Spe
110
Best Moves for Latias
治愈之愿
psychic
71.639%
流星群
dragon
65.769%
清除浓雾
58.868%
精神强念
psychic
44.926%
戏法
psychic
31.202%
精神冲击
psychic
29.212%
冰冻光束
ice
15.380%
自我再生
normal
15.378%
冲浪
water
14.345%
冥想
psychic
8.142%
羽栖
7.909%
龙之波动
dragon
7.613%
电磁波
electric
7.411%
Hidden Power Fire
fire
6.900%
Other
15.305%
Best Teammates for Latias
Best Items for Latias
讲究围巾
58.270%
吃剩的东西
18.299%
心之水滴
7.106%
生命宝珠
3.703%
文柚果
2.859%
龙Ｚ
2.077%
讲究眼镜
1.418%
刺耳果
1.413%
Other
4.855%
Best Abilities for Latias
飘浮
100.000%
Best EV Spreads for Latias
胆小
0/
0/
0/
252/
4/
252
42.779%
胆小
0/
0/
4/
252/
0/
252
23.542%
胆小
252/
0/
0/
4/
0/
252
11.698%
内敛
0/
0/
0/
252/
252/
0
3.811%
胆小
248/
0/
0/
8/
0/
252
2.425%
胆小
72/
0/
0/
184/
0/
252
1.788%
Frequently Asked Questions
What are the best moves for Latias in ou?
The top moves for Latias in ou are 治愈之愿 (71.639%), 流星群 (65.769%), 清除浓雾 (58.868%), 精神强念 (44.926%). These represent the highest usage percentages on the competitive ladder.
What are the best teammates for Latias?
Latias synergizes well with Landorus-Therian (43.044%), Greninja-Ash (26.048%), Scizor-Mega (21.648%), Charizard-Mega-X (18.384%). These Pokemon frequently appear on teams together and cover each other's weaknesses.
What item should I use on Latias?
The most popular items for Latias are 讲究围巾 (58.270%), 吃剩的东西 (18.299%), 心之水滴 (7.106%). The best choice depends on your team composition and strategy.
What ability is best for Latias?
The most common abilities for Latias are 飘浮 (100.000%). The choice often depends on your team's strategy.
What Tera Type should I use on Latias?
Tera Type data is not available for this format or Pokemon.
What is the best EV spread for Latias?
The most common EV spread for Latias is 胆小 with 0/0/0/252/4/252 (42.779% usage). This build is optimized for the current metagame.
Is Latias good in ou?
Latias is currently ranked in the ou 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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