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ゴチルゼル

Damage Calculator
Usage Percent
1%
Monthly Rank
#50

Base Stats for ゴチルゼル

HP
70
Atk
55
Def
95
SpA
95
SpD
110
Spe
65

Best Moves for ゴチルゼル

ねこだまし
100.000%
イカサマ
100.000%
ちょうはつ
100.000%
てだすけ
100.000%

Best Teammates for ゴチルゼル

Best Items for ゴチルゼル

ナモのみ
87.889%
オボンのみ
12.111%
Other
0.000%

Best Abilities for ゴチルゼル

かげふみ
100.000%
かちき
0.000%

Best EV Spreads for ゴチルゼル

ようき
244/
4/
84/
0/
4/
172
87.889%
ようき
244/
4/
36/
0/
4/
220
12.111%

Type Matchups for ゴチルゼル

Weak
Bug 2x Ghost 2x Dark 2x
Resist
Fighting 1/2x Psychic 1/2x
Immune
None
Frequently Asked Questions

What are the best moves for ゴチルゼル in VGC 2024 Regulation Set G?

The top moves for ゴチルゼル in VGC 2024 Regulation Set G are ねこだまし (100.000%), イカサマ (100.000%), ちょうはつ (100.000%), てだすけ (100.000%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for ゴチルゼル?

ゴチルゼル synergizes well with Pachirisu (66.212%), Garganacl (66.212%), Kyogre (66.212%), Ogerpon (66.212%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on ゴチルゼル?

The most popular items for ゴチルゼル are ナモのみ (87.889%), オボンのみ (12.111%), Other (0.000%). The best choice depends on your team composition and strategy.

What ability is best for ゴチルゼル?

The most common abilities for ゴチルゼル are かげふみ (100.000%) and かちき (0.000%). The choice often depends on your team's strategy.

What Tera Type should I use on ゴチルゼル?

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

What is the best EV spread for ゴチルゼル?

The most common EV spread for ゴチルゼル is ようき with 244/4/84/0/4/172 (87.889% usage). This build is optimized for the current metagame.

What is ゴチルゼル weak to and resistant against?

ゴチルゼル is weak to Bug (2x), Ghost (2x), Dark (2x), resists Fighting (1/2x), Psychic (1/2x), and is immune to no attacking types.

Is ゴチルゼル good in VGC 2024 Regulation Set G?

ゴチルゼル is currently ranked in the VGC 2024 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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