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
Dragonite Competitive Analysis
Performance Metrics
Dragonite currently holds a C tier ranking in the VGC Reglation M-A (Pokemon Champions) metagame with a 10.4% usage rate and 50.7% win rate. This data represents 1,949 games analyzed over 14 days from 04/09/2026 to 04/10/2026.
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 Protect used in 19.2% of battles. Dragon Claw demonstrates the highest win rate at 76.9% While Protect is the most popular choice, Dragon Claw shows promising results as an underexplored option.
Team Synergies
Frequently partners with Sneasler, Basculegion, and Pelipper in successful team compositions. The strongest synergy is observed with Dragapult, achieving a 85.7% win rate when used together.
Matchup Analysis
Favorable matchups include Mimikyu, Mamoswine, and Araquanid, while caution is advised against Raichu, Volcarona, and Delphox. Particularly effective against Mimikyu with a 100.0% win rate in direct matchups.
Strategic Recommendations
Dragonite 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
