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
Polteageist Competitive Analysis
Performance Metrics
Polteageist currently holds a E tier ranking in the BSS Regulation M-B (Pokemon Champions) metagame with a 1.1% usage rate and 48.4% win rate. This data represents 14,330 games analyzed over 14 days from 08/17/2026 to 08/31/2026.
Usage Trends
Usage has been trending upward over the past two weeks, indicating growing popularity in the metagame. 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 Shell Smash used in 30.1% of battles. Stored Power demonstrates the highest win rate at 50.0% While Shell Smash is the most popular choice, Stored Power shows promising results as an underexplored option.
Team Synergies
Frequently partners with Gengar, Pangoro, and Scolipede in successful team compositions. The strongest synergy is observed with Sharpedo, achieving a 61.8% win rate when used together.
Matchup Analysis
Favorable matchups include Bellibolt, Sylveon, and Scolipede, while caution is advised against Dragalge, Skarmory, and Floette-Eternal. Particularly effective against Bellibolt with a 69.6% win rate in direct matchups.
Strategic Recommendations
Polteageist 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
