Battle Statistics
Move Performance Analysis
Top 10 moves used in 10+ battles
⚠️ Important Note:
- This data shows moves actually used in battles, not move adoption rates in team building.
- Some moves may be on the Pokémon's moveset but never used during a battle, so they won't appear here.
- Win rate reflects performance in battles where the move was used.
- For actual move adoption rates, please refer to Smogon Stats or other official sources.
Usage Trend
Win Rate Trend
Performance by Rating Tier
Zoroark-Hisui Competitive Analysis
Performance Metrics
Zoroark-Hisui currently holds a E tier ranking in the VGC 2026 Regulation M-B (Pokemon Champions) metagame with a 1.8% usage rate and 47.8% win rate. This data represents 119,941 games analyzed over 14 days from 08/27/2026 to 09/09/2026.
Usage Trends
Usage has been trending upward over the past two weeks, indicating growing popularity in the metagame. Win rate has remained consistent throughout the analysis period.
Rating Tier Performance
Usage remains consistent across all rating tiers, demonstrating broad appeal at all skill levels.
Key Moves
The most frequently used move in competitive battles is Hyper Voice used in 6.3% of battles. Taunt demonstrates the highest win rate at 61.8% While Hyper Voice is the most popular choice, Taunt shows promising results as an underexplored option.
Team Synergies
Frequently partners with Whimsicott, Farigiraf, and Kingambit in successful team compositions. The strongest synergy is observed with Primarina, achieving a 57.4% win rate when used together.
Matchup Analysis
Favorable matchups include Grimmsnarl, Metagross, and Gengar, while caution is advised against Arcanine-Hisui, Corviknight, and Delphox. Particularly effective against Grimmsnarl with a 55.4% win rate in direct matchups.
Strategic Recommendations
Zoroark-Hisui currently faces challenges in the competitive environment. Success with this Pokemon requires careful team building and strategic play to overcome unfavorable matchups. Consider alternative options or specialized team strategies.
Frequent Partners
Frequent Matchups
Strong Partners
Challenging Partners
Favorable Matchups
Difficult Matchups
