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
Malamar Competitive Analysis
Performance Metrics
Malamar currently holds a E tier ranking in the VGC 2026 Regulation M-B (Pokemon Champions) metagame with a 1.4% usage rate and 41.8% win rate. This data represents 16,019 games analyzed over 14 days from 06/18/2026 to 06/20/2026.
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 Superpower used in 53.9% of battles. Rest demonstrates the highest win rate at 81.8% While Superpower is the most popular choice, Rest shows promising results as an underexplored option.
Team Synergies
Frequently partners with Sinistcha, Grimmsnarl, and Whimsicott in successful team compositions. The strongest synergy is observed with Venusaur, achieving a 60.0% win rate when used together.
Matchup Analysis
Favorable matchups include Froslass, Sableye, and Maushold, while caution is advised against Gallade, Mawile, and Charizard. Particularly effective against Froslass with a 59.1% win rate in direct matchups.
Strategic Recommendations
Malamar 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
