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 BSS Regulation M-B (Pokemon Champions) metagame with a 2.2% usage rate and 42.1% win rate. This data represents 11,917 games analyzed over 14 days from 08/25/2026 to 09/08/2026.
Usage Trends
Usage has declined recently, potentially due to rising counters or metagame shifts. 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 13.4% of battles. Foul Play demonstrates the highest win rate at 55.7% While Will-O-Wisp is the most popular choice, Foul Play shows promising results as an underexplored option.
Team Synergies
Frequently partners with Lycanroc-Dusk, Gholdengo, and Meowscarada in successful team compositions. The strongest synergy is observed with Tsareena, achieving a 66.7% win rate when used together.
Matchup Analysis
Favorable matchups include Zoroark-Hisui, Serperior, and Hatterene, while caution is advised against Lucario, Ditto, and Sharpedo. Particularly effective against Zoroark-Hisui with a 58.8% 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
