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 D tier ranking in the VGC 2026 Regulation F metagame with a 2.9% usage rate and 49.4% win rate. This data represents 65,255 games analyzed over 14 days from 01/01/2026 to 01/13/2026.
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 Light Screen used in 38.8% of battles. Spirit Break demonstrates the highest win rate at 54.0% Both Light Screen and Spirit Break are competitive choices with distinct strategic applications.
Team Synergies
Frequently partners with Incineroar, Rillaboom, and Raging Bolt in successful team compositions. The strongest synergy is observed with Tatsugiri, achieving a 63.9% win rate when used together.
Matchup Analysis
Favorable matchups include Ninetales-Alola, Garchomp, and Iron Bundle, while caution is advised against Metagross, Weezing-Galar, and Lilligant-Hisui. Particularly effective against Ninetales-Alola with a 56.0% win rate in direct matchups.
Strategic Recommendations
Grimmsnarl 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
