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双斧战龙

Damage Calculator
Usage Percent
0%
Monthly Rank
#208

Base Stats for 双斧战龙

HP
76
Atk
147
Def
90
SpA
60
SpD
70
Spe
97

Best Moves for 双斧战龙

龙爪
62.889%
毒击
62.408%
十字剪
62.408%
跺脚
62.408%
地震
37.592%
岩崩
37.591%
守住
37.591%
龙之舞
37.111%

Best Teammates for 双斧战龙

Best Items for 双斧战龙

生命宝珠
62.408%
Covert Cloak
37.111%
Other
0.481%

Best Abilities for 双斧战龙

破格
100.000%

Best EV Spreads for 双斧战龙

爽朗
0/
0/
132/
0/
124/
252
62.408%
固执
4/
252/
4/
0/
4/
244
37.111%

Type Matchups for 双斧战龙

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

What are the best moves for 双斧战龙 in VGC 2025 Regulation Set H?

The top moves for 双斧战龙 in VGC 2025 Regulation Set H are 龙爪 (62.889%), 毒击 (62.408%), 十字剪 (62.408%), 跺脚 (62.408%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 双斧战龙?

双斧战龙 synergizes well with Whimsicott (80.241%), Indeedee-F (62.195%), Archaludon (62.195%), Ursaluna (62.195%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 双斧战龙?

The most popular items for 双斧战龙 are 生命宝珠 (62.408%), Covert Cloak (37.111%), Other (0.481%). The best choice depends on your team composition and strategy.

What ability is best for 双斧战龙?

The most common abilities for 双斧战龙 are 破格 (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 双斧战龙?

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

What is the best EV spread for 双斧战龙?

The most common EV spread for 双斧战龙 is 爽朗 with 0/0/132/0/124/252 (62.408% usage). This build is optimized for the current metagame.

What is 双斧战龙 weak to and resistant against?

双斧战龙 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 双斧战龙 good in VGC 2025 Regulation Set H?

双斧战龙 is currently ranked in the VGC 2025 Regulation Set H 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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