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
Hoopa-Unbound Competitive Analysis
Performance Metrics
Hoopa-Unbound currently holds a D tier ranking in the OU (Over Used) metagame with a 3.2% usage rate and 51.5% win rate. This data represents 62,371 games analyzed over 14 days from 07/01/2026 to 07/15/2026.
Usage Trends
Usage has declined recently, potentially due to rising counters or metagame shifts. Win rate has decreased recently, which may indicate emerging counters or declining effectiveness.
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 Hyperspace Fury used in 16.9% of battles. Psychic Noise demonstrates the highest win rate at 61.2% While Hyperspace Fury is the most popular choice, Psychic Noise shows promising results as an underexplored option.
Team Synergies
Frequently partners with Alomomola, Iron Valiant, and Cinderace in successful team compositions. The strongest synergy is observed with Ogerpon, achieving a 72.2% win rate when used together.
Matchup Analysis
Favorable matchups include Grimmsnarl, Meowscarada, and Blissey, while caution is advised against Keldeo-Resolute, Ogerpon-Cornerstone, and Volcanion. Particularly effective against Grimmsnarl with a 61.0% win rate in direct matchups.
Strategic Recommendations
Hoopa-Unbound maintains a balanced presence in the metagame. Its moderate usage and win rate suggest viability in specific team archetypes. Experiment with different builds and partner Pokemon to optimize performance.
Frequent Partners
Frequent Matchups
Strong Partners
Challenging Partners
Favorable Matchups
Difficult Matchups
