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铁包袱

Damage Calculator
Usage Percent
3%
Monthly Rank
#34

Base Stats for 铁包袱

HP
56
Atk
80
Def
114
SpA
124
SpD
60
Spe
136

Best Moves for 铁包袱

冰冻之风
97.067%
守住
96.558%
再来一次
94.204%
冰冻光束
77.471%
冷冻干燥
19.923%
Other
14.776%

Best Teammates for 铁包袱

Best Items for 铁包袱

气势披带
94.825%
Covert Cloak
1.955%
Other
3.220%

Best Abilities for 铁包袱

Quark Drive
100.000%

Best EV Spreads for 铁包袱

胆小
4/
0/
0/
252/
0/
252
52.696%
胆小
0/
0/
0/
252/
4/
252
28.106%
胆小
0/
0/
4/
252/
0/
252
15.750%

Type Matchups for 铁包袱

Weak
Electric 2x Grass 2x Fighting 2x Rock 2x
Resist
Ice 1/4x Water 1/2x
Immune
None
Frequently Asked Questions

What are the best moves for 铁包袱 in VGC 2026 Regulation Set I?

The top moves for 铁包袱 in VGC 2026 Regulation Set I are 冰冻之风 (97.067%), 守住 (96.558%), 再来一次 (94.204%), 冰冻光束 (77.471%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 铁包袱?

铁包袱 synergizes well with Miraidon (98.541%), Farigiraf (92.741%), Iron Hands (90.356%), Calyrex-Ice (85.634%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 铁包袱?

The most popular items for 铁包袱 are 气势披带 (94.825%), Covert Cloak (1.955%), Other (3.220%). The best choice depends on your team composition and strategy.

What ability is best for 铁包袱?

The most common abilities for 铁包袱 are Quark Drive (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 铁包袱?

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

What is the best EV spread for 铁包袱?

The most common EV spread for 铁包袱 is 胆小 with 4/0/0/252/0/252 (52.696% usage). This build is optimized for the current metagame.

What is 铁包袱 weak to and resistant against?

铁包袱 is weak to Electric (2x), Grass (2x), Fighting (2x), Rock (2x), resists Ice (1/4x), Water (1/2x), and is immune to no attacking types.

Is 铁包袱 good in VGC 2026 Regulation Set I?

铁包袱 is currently ranked in the VGC 2026 Regulation Set I 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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