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-C (Pokemon Champions) metagame with a 1.4% usage rate and 48.6% win rate. This data represents 17,431 games analyzed over 14 days from 09/09/2026 to 09/11/2026.
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 Rock Slide used in 21.8% of battles. Close Combat demonstrates the highest win rate at 50.9% While Rock Slide is the most popular choice, Close Combat shows promising results as an underexplored option.
Team Synergies
Frequently partners with Basculegion, Sneasler, and Kingambit in successful team compositions. The strongest synergy is observed with Pelipper, achieving a 62.5% win rate when used together.
Matchup Analysis
Favorable matchups include Rotom-Wash, Pawmot, and Sylveon, while caution is advised against Dragonite, Hatterene, and Arcanine-Hisui. Particularly effective against Rotom-Wash with a 72.2% 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
