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
Moltres-Galar Competitive Analysis
Performance Metrics
Moltres-Galar currently holds a E tier ranking in the OU (Over Used) metagame with a 1.0% usage rate and 51.0% win rate. This data represents 74,181 games analyzed over 14 days from 07/12/2026 to 07/26/2026.
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 Fiery Wrath used in 40.4% of battles. Substitute demonstrates the highest win rate at 60.0% While Fiery Wrath is the most popular choice, Substitute shows promising results as an underexplored option.
Team Synergies
Frequently partners with Zamazenta-*, Great Tusk, and Ceruledge in successful team compositions. The strongest synergy is observed with Glimmora, achieving a 63.3% win rate when used together.
Matchup Analysis
Favorable matchups include Alomomola, Cinderace, and Garchomp, while caution is advised against Tyranitar, Dragonite, and Glimmora. Particularly effective against Alomomola with a 59.3% win rate in direct matchups.
Strategic Recommendations
Moltres-Galar 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
