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
Sneasler Competitive Analysis
Performance Metrics
Sneasler currently holds a E tier ranking in the VGC 2026 Regulation F metagame with a 2.7% usage rate and 48.6% win rate. This data represents 145,797 games analyzed over 60 days from 02/28/2026 to 04/02/2026.
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 Dire Claw used in 30.0% of battles. Gunk Shot demonstrates the highest win rate at 56.0% While Dire Claw is the most popular choice, Gunk Shot shows promising results as an underexplored option.
Team Synergies
Frequently partners with Incineroar, Rillaboom, and Indeedee-F in successful team compositions. The strongest synergy is observed with Scream Tail, achieving a 61.6% win rate when used together.
Matchup Analysis
Favorable matchups include Dragapult, Volcarona, and Primarina, while caution is advised against Sinistcha, Tyranitar, and Urshifu-SingleStrike. Particularly effective against Dragapult with a 59.4% win rate in direct matchups.
Strategic Recommendations
Sneasler 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
