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
Rotom-Mow Competitive Analysis
Performance Metrics
Rotom-Mow currently holds a C tier ranking in the BSS Regulation M-B (Pokemon Champions) metagame with a 1.0% usage rate and 57.0% win rate. This data represents 15,901 games analyzed over 14 days from 06/18/2026 to 06/24/2026.
Usage Trends
Usage has been trending upward over the past two weeks, indicating growing popularity in the metagame. 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 Volt Switch used in 14.2% of battles. Leaf Storm demonstrates the highest win rate at 60.5% While Volt Switch is the most popular choice, Leaf Storm shows promising results as an underexplored option.
Team Synergies
Frequently partners with Garchomp, Basculegion, and Blaziken in successful team compositions. The strongest synergy is observed with Pelipper, achieving a 73.9% win rate when used together.
Matchup Analysis
Favorable matchups include Aegislash, Gyarados, and Lucario, while caution is advised against Volcarona, Dragapult, and Samurott-Hisui. Particularly effective against Aegislash with a 87.5% win rate in direct matchups.
Strategic Recommendations
Rotom-Mow offers solid performance as a mid-tier option. While not dominating the metagame, it provides consistent results when properly supported. Focus on team compositions that maximize its favorable matchups.
Frequent Partners
Frequent Matchups
Strong Partners
Challenging Partners
Favorable Matchups
Difficult Matchups
