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
Sableye Competitive Analysis
Performance Metrics
Sableye currently holds a E tier ranking in the Champions OU metagame with a 1.8% usage rate and 40.7% win rate. This data represents 50,549 games analyzed over 28 days from 05/21/2026 to 06/18/2026.
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 Will-O-Wisp used in 28.5% of battles. Knock Off demonstrates the highest win rate at 50.2% Both Will-O-Wisp and Knock Off are competitive choices with distinct strategic applications.
Team Synergies
Frequently partners with Corviknight, Toxapex, and Slowking-Galar in successful team compositions. The strongest synergy is observed with Salazzle, achieving a 56.7% win rate when used together.
Matchup Analysis
Favorable matchups include Incineroar, Aerodactyl, and Toxapex, while caution is advised against Kleavor, Aegislash, and Slowking-Galar. Particularly effective against Incineroar with a 60.6% win rate in direct matchups.
Strategic Recommendations
Sableye 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
