勾魂眼

Damage Calculator
Usage Percent
0%
Monthly Rank
#106

Base Stats for 勾魂眼

HP
50
Atk
75
Def
75
SpA
65
SpD
65
Spe
50

Best Moves for 勾魂眼

再来一次
97.261%
磷火
82.464%
定身法
60.719%
守住
60.348%
电磁波
37.055%
自我再生
36.696%
拍落
19.056%
Other
6.401%

Best Items for 勾魂眼

吃剩的东西
50.251%
厚底靴
32.767%
凸凸头盔
14.160%
Other
2.821%

Best Abilities for 勾魂眼

恶作剧之心
88.250%
锐利目光
11.747%
慢出
0.002%

Best EV Spreads for 勾魂眼

大胆
252/
0/
252/
0/
0/
0
43.637%
温和
248/
0/
8/
0/
252/
0
31.838%
自大
240/
0/
132/
0/
136/
0
14.063%
大胆
252/
0/
252/
0/
4/
0
2.314%
自大
252/
0/
216/
0/
40/
0
1.267%
淘气
252/
4/
252/
0/
0/
0
1.113%

Type Matchups for 勾魂眼

Weak
Fairy 2x
Resist
Poison 1/2x
Immune
Normal 0x Fighting 0x Psychic 0x
Frequently Asked Questions

What are the best moves for 勾魂眼 in Gen 7 Ubers?

The top moves for 勾魂眼 in Gen 7 Ubers are 再来一次 (97.261%), 磷火 (82.464%), 定身法 (60.719%), 守住 (60.348%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 勾魂眼?

勾魂眼 synergizes well with Koraidon (47.059%), Giratina (44.743%), Kyogre (44.557%), Alomomola (43.639%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 勾魂眼?

The most popular items for 勾魂眼 are 吃剩的东西 (50.251%), 厚底靴 (32.767%), 凸凸头盔 (14.160%). The best choice depends on your team composition and strategy.

What ability is best for 勾魂眼?

The most common abilities for 勾魂眼 are 恶作剧之心 (88.250%) and 锐利目光 (11.747%). The choice often depends on your team's strategy.

What Tera Type should I use on 勾魂眼?

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

What is the best EV spread for 勾魂眼?

The most common EV spread for 勾魂眼 is 大胆 with 252/0/252/0/0/0 (43.637% usage). This build is optimized for the current metagame.

What is 勾魂眼 weak to and resistant against?

勾魂眼 is weak to Fairy (2x), resists Poison (1/2x), and is immune to Normal (0x), Fighting (0x), Psychic (0x).

Is 勾魂眼 good in Gen 7 Ubers?

勾魂眼 is currently ranked in the Gen 7 Ubers 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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