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
Kommo-o Competitive Analysis
Performance Metrics
Kommo-o currently holds a D tier ranking in the VGC 2026 Regulation M-B (Pokemon Champions) metagame with a 1.6% usage rate and 52.7% 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 Clanging Scales used in 22.9% of battles. Clanging Scales demonstrates the highest win rate at 66.7% This move's combination of high popularity and strong win rate makes it a staple choice for competitive play.
Team Synergies
Frequently partners with Incineroar, Sinistcha, and Metagross in successful team compositions. The strongest synergy is observed with Vileplume, achieving a 77.8% win rate when used together.
Matchup Analysis
Favorable matchups include Blaziken, Talonflame, and Rotom-Wash, while caution is advised against Mawile, Torkoal, and Primarina. Particularly effective against Blaziken with a 82.3% win rate in direct matchups.
Strategic Recommendations
Kommo-o 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
