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狙射树枭

Damage Calculator
Usage Percent
0%
Monthly Rank
#172

Base Stats for 狙射树枭

HP
78
Atk
107
Def
75
SpA
100
SpD
100
Spe
70

Best Moves for 狙射树枭

缝影
100.000%
叶刃
100.000%
影子偷袭
99.988%
急速折返
99.988%

Best Teammates for 狙射树枭

Best Items for 狙射树枭

讲究头带
99.988%
Other
0.012%

Best Abilities for 狙射树枭

远隔
99.988%
茂盛
0.012%

Best EV Spreads for 狙射树枭

固执
0/
252/
0/
0/
4/
252
99.988%

Type Matchups for 狙射树枭

Weak
Fire 2x Ice 2x Flying 2x Ghost 2x Dark 2x
Resist
Water 1/2x Electric 1/2x Grass 1/2x Ground 1/2x
Immune
Normal 0x Fighting 0x
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Frequently Asked Questions

What are the best moves for 狙射树枭 in VGC 2025 Regulation Set H?

The top moves for 狙射树枭 in VGC 2025 Regulation Set H are 缝影 (100.000%), 叶刃 (100.000%), 影子偷袭 (99.988%), 急速折返 (99.988%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 狙射树枭?

狙射树枭 synergizes well with Pawmot (99.988%), Murkrow (99.988%), Gholdengo (99.988%), Rotom-Wash (99.988%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 狙射树枭?

The most popular items for 狙射树枭 are 讲究头带 (99.988%), Other (0.012%). The best choice depends on your team composition and strategy.

What ability is best for 狙射树枭?

The most common abilities for 狙射树枭 are 远隔 (99.988%) and 茂盛 (0.012%). The choice often depends on your team's strategy.

What Tera Type should I use on 狙射树枭?

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

What is the best EV spread for 狙射树枭?

The most common EV spread for 狙射树枭 is 固执 with 0/252/0/0/4/252 (99.988% usage). This build is optimized for the current metagame.

What is 狙射树枭 weak to and resistant against?

狙射树枭 is weak to Fire (2x), Ice (2x), Flying (2x), Ghost (2x), Dark (2x), resists Water (1/2x), Electric (1/2x), Grass (1/2x), Ground (1/2x), and is immune to Normal (0x), Fighting (0x).

Is 狙射树枭 good in VGC 2025 Regulation Set H?

狙射树枭 is currently ranked in the VGC 2025 Regulation Set H 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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