✖

エテボース

normal Damage Calculator
Usage Percent
0%
Monthly Rank
#242

Base Stats for Ambipom

HP
75
Atk
100
Def
66
SpA
60
SpD
66
Spe
115

Best Moves for Ambipom

ねこだまし
normal
97.699%
ダブルアタック
normal
50.797%
ちょうはつ
dark
43.162%
タネばくだん
grass
41.010%
おんがえし
normal
26.574%
はたきおとす
dark
25.573%
Nothing
25.039%
とんぼがえり
bug
23.107%
とっておき
normal
12.726%
まもる
normal
12.619%
おいうち
dark
11.388%
アクロバット
flying
6.400%
スイープビンタ
normal
5.548%
Other
18.359%

Best Teammates for Ambipom

Best Items for Ambipom

いのちのたま
71.016%
シルクのスカーフ
17.816%
きあいのタスキ
1.765%
Other
4.745%

Best Abilities for Ambipom

テクニシャン
94.541%
スキルリンク
5.213%
ものひろい
0.246%

Best EV Spreads for Ambipom

ようき
0/
252/
0/
0/
4/
252
81.535%
ようき
4/
252/
0/
0/
0/
252
8.278%
いじっぱり
4/
252/
0/
0/
0/
252
5.219%
Frequently Asked Questions

What are the best moves for Ambipom in vgc2018pgl?

The top moves for Ambipom in vgc2018pgl are ねこだまし (97.699%), ダブルアタック (50.797%), ちょうはつ (43.162%), タネばくだん (41.010%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Ambipom?

Ambipom synergizes well with Blastoise-Mega (41.343%), Raichu-Alola (40.986%), Weavile (40.985%), Mienshao (40.984%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Ambipom?

The most popular items for Ambipom are いのちのたま (71.016%), シルクのスカーフ (17.816%), きあいのタスキ (1.765%). The best choice depends on your team composition and strategy.

What ability is best for Ambipom?

The most common abilities for Ambipom are テクニシャン (94.541%) and スキルリンク (5.213%). The choice often depends on your team's strategy.

What Tera Type should I use on Ambipom?

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

What is the best EV spread for Ambipom?

The most common EV spread for Ambipom is ようき with 0/252/0/0/4/252 (81.535% usage). This build is optimized for the current metagame.

Is Ambipom good in vgc2018pgl?

Ambipom is currently ranked in the vgc2018pgl 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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