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ドーブル

Damage Calculator
Usage Percent
10%
Monthly Rank
#18

Base Stats for ドーブル

HP
55
Atk
20
Def
35
SpA
20
SpD
45
Spe
75

Best Moves for ドーブル

キノコのほうし
96.151%
このゆびとまれ
94.952%
ねこだまし
74.720%
デコレーション
51.468%
ワイドガード
28.322%
ニードルガード
21.575%
カタストロフィ
17.972%
Other
14.841%

Best Teammates for ドーブル

Best Items for ドーブル

きあいのタスキ
97.410%
Other
2.590%

Best Abilities for ドーブル

ムラっけ
91.768%
テクニシャン
6.223%
マイペース
2.010%

Best EV Spreads for ドーブル

ようき
12/
0/
244/
0/
0/
252
28.238%
ようき
252/
0/
4/
0/
0/
252
18.907%
おくびょう
60/
0/
196/
0/
0/
252
13.662%
ようき
252/
4/
0/
0/
0/
252
11.709%
ようき
4/
0/
252/
0/
0/
252
3.457%
ようき
252/
0/
0/
0/
4/
252
3.083%

Type Matchups for ドーブル

Weak
Fighting 2x
Resist
None
Immune
Ghost 0x
Frequently Asked Questions

What are the best moves for ドーブル in SV?

The top moves for ドーブル in SV are キノコのほうし (96.151%), このゆびとまれ (94.952%), ねこだまし (74.720%), デコレーション (51.468%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for ドーブル?

ドーブル synergizes well with Calyrex-Ice (61.208%), Rillaboom (41.730%), Incineroar (36.335%), Urshifu-Rapid-Strike (33.315%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on ドーブル?

The most popular items for ドーブル are きあいのタスキ (97.410%), Other (2.590%). The best choice depends on your team composition and strategy.

What ability is best for ドーブル?

The most common abilities for ドーブル are ムラっけ (91.768%) and テクニシャン (6.223%). The choice often depends on your team's strategy.

What Tera Type should I use on ドーブル?

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

What is the best EV spread for ドーブル?

The most common EV spread for ドーブル is ようき with 12/0/244/0/0/252 (28.238% usage). This build is optimized for the current metagame.

What is ドーブル weak to and resistant against?

ドーブル is weak to Fighting (2x), resists no attacking types, and is immune to Ghost (0x).

Is ドーブル good in SV?

ドーブル is currently ranked in the SV 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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