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
Magearna-Original Competitive Analysis
Performance Metrics
Magearna-Original currently holds a C tier ranking in the Legends Z-A OU metagame with a 1.4% usage rate and 53.3% win rate. This data represents 64,209 games analyzed over 14 days from 12/30/2025 to 01/13/2026.
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 Fleur Cannon used in 22.9% of battles. Stored Power demonstrates the highest win rate at 59.8% While Fleur Cannon is the most popular choice, Stored Power shows promising results as an underexplored option.
Team Synergies
Frequently partners with Garchomp, Rotom-Wash, and Keldeo-Resolute in successful team compositions. The strongest synergy is observed with Slurpuff, achieving a 64.7% win rate when used together.
Matchup Analysis
Favorable matchups include Scizor, Blaziken, and Slurpuff, while caution is advised against Rotom-Heat, Krookodile, and Keldeo-Resolute. Particularly effective against Scizor with a 62.2% win rate in direct matchups.
Strategic Recommendations
Magearna-Original 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
