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
Hawlucha Competitive Analysis
Performance Metrics
Hawlucha currently holds a E tier ranking in the VGC Reglation M-A (Pokemon Champions) metagame with a 3.0% usage rate and 43.6% win rate. This data represents 1,949 games analyzed over 14 days from 04/09/2026 to 04/10/2026.
Usage Trends
Usage has been trending upward over the past two weeks, indicating growing popularity in the metagame. 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 Protect used in 27.4% of battles. Entrainment demonstrates the highest win rate at 48.3% Both Protect and Entrainment are competitive choices with distinct strategic applications.
Team Synergies
Frequently partners with Incineroar, Excadrill, and Sinistcha in successful team compositions. The strongest synergy is observed with Lycanroc, achieving a 60.0% win rate when used together.
Matchup Analysis
Favorable matchups include Archaludon, Kangaskhan, and Aegislash, while caution is advised against Golurk, Milotic, and Torkoal. Particularly effective against Archaludon with a 66.7% win rate in direct matchups.
Strategic Recommendations
Hawlucha 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
