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
Slither Wing Competitive Analysis
Performance Metrics
Slither Wing currently holds a E tier ranking in the OU (Over Used) metagame with a 1.6% usage rate and 50.1% win rate. This data represents 72,987 games analyzed over 14 days from 05/16/2026 to 05/30/2026.
Usage Trends
Usage has remained stable, suggesting consistent viability across 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 U-turn used in 36.3% of battles. Will-O-Wisp demonstrates the highest win rate at 61.5% While U-turn is the most popular choice, Will-O-Wisp shows promising results as an underexplored option.
Team Synergies
Frequently partners with Walking Wake, Great Tusk, and Hatterene in successful team compositions. The strongest synergy is observed with Ogerpon-Wellspring, achieving a 64.1% win rate when used together.
Matchup Analysis
Favorable matchups include Meowscarada, Ninetales, and Torkoal, while caution is advised against Tyranitar, Excadrill, and Ursaluna. Particularly effective against Meowscarada with a 68.2% win rate in direct matchups.
Strategic Recommendations
Slither Wing 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
