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
Lycanroc-Dusk Competitive Analysis
Performance Metrics
Lycanroc-Dusk currently holds a E tier ranking in the VGC 2026 Regulation M-A (Pokemon Champions) metagame with a 1.2% usage rate and 50.2% win rate. This data represents 88,737 games analyzed over 14 days from 05/31/2026 to 06/14/2026.
Usage Trends
Usage has been trending upward over the past two weeks, indicating growing popularity in the metagame. Win rate has improved over the analysis period, suggesting either better optimization or favorable metagame conditions.
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 Accelerock used in 27.1% of battles. Play Rough demonstrates the highest win rate at 60.0% While Accelerock is the most popular choice, Play Rough shows promising results as an underexplored option.
Team Synergies
Frequently partners with Sneasler, Kingambit, and Froslass in successful team compositions. The strongest synergy is observed with Archaludon, achieving a 57.9% win rate when used together.
Matchup Analysis
Favorable matchups include Corviknight, Kommo-o, and Froslass, while caution is advised against Kangaskhan, Dragonite, and Torkoal. Particularly effective against Corviknight with a 55.6% win rate in direct matchups.
Strategic Recommendations
Lycanroc-Dusk 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
