赤面龙

Damage Calculator
Usage Percent
0%
Monthly Rank
#177

Base Stats for 赤面龙

HP
77
Atk
120
Def
90
SpA
60
SpD
90
Spe
48

Best Moves for 赤面龙

火焰拳
97.474%
龙爪
94.407%
大蛇瞪眼
92.875%
蛮力
92.253%
垃圾射击
4.396%
Other
18.595%

Best Items for 赤面龙

凸凸头盔
92.811%
生命宝珠
5.177%
Other
2.011%

Best Abilities for 赤面龙

粗糙皮肤
92.085%
强行
6.207%
破格
1.708%

Best EV Spreads for 赤面龙

淘气
228/
12/
252/
0/
12/
0
91.792%
勇敢
252/
252/
4/
0/
0/
0
3.095%
固执
252/
252/
0/
0/
4/
0
1.085%

Type Matchups for 赤面龙

Weak
Ice 2x Dragon 2x Fairy 2x
Resist
Fire 1/2x Water 1/2x Electric 1/2x Grass 1/2x
Immune
None
Frequently Asked Questions

What are the best moves for 赤面龙 in Series 5 Battle Stadium Doubles?

The top moves for 赤面龙 in Series 5 Battle Stadium Doubles are 火焰拳 (97.474%), 龙爪 (94.407%), 大蛇瞪眼 (92.875%), 蛮力 (92.253%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 赤面龙?

赤面龙 synergizes well with Arcanine (90.553%), Gyarados (89.964%), Duraludon (87.741%), Sylveon (87.534%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 赤面龙?

The most popular items for 赤面龙 are 凸凸头盔 (92.811%), 生命宝珠 (5.177%), Other (2.011%). The best choice depends on your team composition and strategy.

What ability is best for 赤面龙?

The most common abilities for 赤面龙 are 粗糙皮肤 (92.085%) and 强行 (6.207%). The choice often depends on your team's strategy.

What Tera Type should I use on 赤面龙?

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

What is the best EV spread for 赤面龙?

The most common EV spread for 赤面龙 is 淘气 with 228/12/252/0/12/0 (91.792% usage). This build is optimized for the current metagame.

What is 赤面龙 weak to and resistant against?

赤面龙 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.

Is 赤面龙 good in Series 5 Battle Stadium Doubles?

赤面龙 is currently ranked in the Series 5 Battle Stadium Doubles 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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