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
Grimmsnarl Competitive Analysis
Performance Metrics
Grimmsnarl currently holds a E tier ranking in the BSS Regulation M-B (Pokemon Champions) metagame with a 9.8% usage rate and 47.6% win rate. This data represents 5,224 games analyzed over 14 days from 06/18/2026 to 06/20/2026.
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 Reflect used in 34.8% of battles. Foul Play demonstrates the highest win rate at 65.0% While Reflect is the most popular choice, Foul Play shows promising results as an underexplored option.
Team Synergies
Frequently partners with Garchomp, Staraptor, and Raichu in successful team compositions. The strongest synergy is observed with Samurott-Hisui, achieving a 78.6% win rate when used together.
Matchup Analysis
Favorable matchups include Aerodactyl, Farigiraf, and Kleavor, while caution is advised against Abomasnow, Empoleon, and Vanilluxe. Particularly effective against Aerodactyl with a 90.9% win rate in direct matchups.
Strategic Recommendations
Grimmsnarl 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