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大食花

Damage Calculator
Usage Percent
0%
Monthly Rank
#253

Base Stats for 大食花

HP
80
Atk
105
Def
65
SpA
100
SpD
70
Spe
70

Best Moves for 大食花

催眠粉
99.950%
污泥炸弹
93.120%
守住
93.101%
气象球
92.264%
毒击
6.530%
Other
15.036%

Best Items for 大食花

生命宝珠
97.639%
Other
2.361%

Best Abilities for 大食花

叶绿素
100.000%
贪吃鬼
0.000%

Best EV Spreads for 大食花

内敛
100/
0/
4/
236/
4/
164
92.212%
固执
0/
252/
0/
0/
4/
252
5.400%

Type Matchups for 大食花

Weak
Fire 2x Ice 2x Flying 2x Psychic 2x
Resist
Grass 1/4x Water 1/2x Electric 1/2x Fighting 1/2x Fairy 1/2x
Immune
None
Frequently Asked Questions

What are the best moves for 大食花 in VGC 2025 Regulation Set I?

The top moves for 大食花 in VGC 2025 Regulation Set I are 催眠粉 (99.950%), 污泥炸弹 (93.120%), 守住 (93.101%), 气象球 (92.264%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 大食花?

大食花 synergizes well with Groudon (95.149%), Flutter Mane (91.730%), Raging Bolt (90.084%), Ogerpon-Cornerstone (90.072%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 大食花?

The most popular items for 大食花 are 生命宝珠 (97.639%), Other (2.361%). The best choice depends on your team composition and strategy.

What ability is best for 大食花?

The most common abilities for 大食花 are 叶绿素 (100.000%) and 贪吃鬼 (0.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 大食花?

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

What is the best EV spread for 大食花?

The most common EV spread for 大食花 is 内敛 with 100/0/4/236/4/164 (92.212% usage). This build is optimized for the current metagame.

What is 大食花 weak to and resistant against?

大食花 is weak to Fire (2x), Ice (2x), Flying (2x), Psychic (2x), resists Grass (1/4x), Water (1/2x), Electric (1/2x), Fighting (1/2x), Fairy (1/2x), and is immune to no attacking types.

Is 大食花 good in VGC 2025 Regulation Set I?

大食花 is currently ranked in the VGC 2025 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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