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盖欧卡

Damage Calculator
Usage Percent
0%
Monthly Rank
#40

Base Stats for 盖欧卡

HP
100
Atk
100
Def
90
SpA
150
SpD
140
Spe
90

Best Moves for 盖欧卡

根源波动
99.858%
守住
99.293%
冰冻光束
99.293%
喷水
91.966%
Other
9.590%

Best Teammates for 盖欧卡

Best Items for 盖欧卡

神秘水滴
91.824%
吃剩的东西
7.469%
Other
0.707%

Best Abilities for 盖欧卡

降雨
100.000%

Best EV Spreads for 盖欧卡

内敛
252/
0/
52/
156/
4/
44
91.824%
内敛
132/
0/
108/
156/
4/
108
7.328%

Type Matchups for 盖欧卡

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

What are the best moves for 盖欧卡 in VGC 2025 Best of 3 Regulation Set G?

The top moves for 盖欧卡 in VGC 2025 Best of 3 Regulation Set G are 根源波动 (99.858%), 守住 (99.293%), 冰冻光束 (99.293%), 喷水 (91.966%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 盖欧卡?

盖欧卡 synergizes well with Amoonguss (98.297%), Urshifu-Rapid-Strike (98.155%), Tornadus (92.164%), Chien-Pao (91.824%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 盖欧卡?

The most popular items for 盖欧卡 are 神秘水滴 (91.824%), 吃剩的东西 (7.469%), Other (0.707%). The best choice depends on your team composition and strategy.

What ability is best for 盖欧卡?

The most common abilities for 盖欧卡 are 降雨 (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 盖欧卡?

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

What is the best EV spread for 盖欧卡?

The most common EV spread for 盖欧卡 is 内敛 with 252/0/52/156/4/44 (91.824% usage). This build is optimized for the current metagame.

What is 盖欧卡 weak to and resistant against?

盖欧卡 is weak to Electric (2x), Grass (2x), resists Fire (1/2x), Water (1/2x), Ice (1/2x), Steel (1/2x), and is immune to no attacking types.

Is 盖欧卡 good in VGC 2025 Best of 3 Regulation Set G?

盖欧卡 is currently ranked in the VGC 2025 Best of 3 Regulation Set G 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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