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烈腿蝗

Damage Calculator
Usage Percent
0%
Monthly Rank
#209

Base Stats for 烈腿蝗

HP
71
Atk
102
Def
78
SpA
52
SpD
55
Spe
92

Best Moves for 烈腿蝗

迎头一击
89.086%
突袭
88.904%
急速折返
88.603%
看穿
82.454%
拍落
12.816%
守住
11.244%
猛扑
10.850%
Other
16.044%

Best Teammates for 烈腿蝗

Best Items for 烈腿蝗

生命宝珠
95.644%
Other
4.356%

Best Abilities for 烈腿蝗

有色眼镜
99.890%
虫之预感
0.110%

Best EV Spreads for 烈腿蝗

固执
100/
252/
20/
0/
60/
76
82.361%
爽朗
0/
252/
0/
0/
4/
252
13.046%

Type Matchups for 烈腿蝗

Weak
Fire 2x Flying 2x Bug 2x Rock 2x Fairy 2x
Resist
Grass 1/2x Ground 1/2x Ghost 1/2x Dark 1/2x
Immune
Psychic 0x
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Frequently Asked Questions

What are the best moves for 烈腿蝗 in VGC 2026 Regulation Set I?

The top moves for 烈腿蝗 in VGC 2026 Regulation Set I are 迎头一击 (89.086%), 突袭 (88.904%), 急速折返 (88.603%), 看穿 (82.454%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 烈腿蝗?

烈腿蝗 synergizes well with Kyogre (82.581%), Chi-Yu (82.369%), Azelf (82.361%), Rayquaza (82.361%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 烈腿蝗?

The most popular items for 烈腿蝗 are 生命宝珠 (95.644%), Other (4.356%). The best choice depends on your team composition and strategy.

What ability is best for 烈腿蝗?

The most common abilities for 烈腿蝗 are 有色眼镜 (99.890%) and 虫之预感 (0.110%). The choice often depends on your team's strategy.

What Tera Type should I use on 烈腿蝗?

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

What is the best EV spread for 烈腿蝗?

The most common EV spread for 烈腿蝗 is 固执 with 100/252/20/0/60/76 (82.361% usage). This build is optimized for the current metagame.

What is 烈腿蝗 weak to and resistant against?

烈腿蝗 is weak to Fire (2x), Flying (2x), Bug (2x), Rock (2x), Fairy (2x), resists Grass (1/2x), Ground (1/2x), Ghost (1/2x), Dark (1/2x), and is immune to Psychic (0x).

Is 烈腿蝗 good in VGC 2026 Regulation Set I?

烈腿蝗 is currently ranked in the VGC 2026 Regulation Set I 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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