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
Gothitelle Competitive Analysis
Performance Metrics
Gothitelle currently holds a E tier ranking in the VGC 2026 Regulation F metagame with a 1.3% usage rate and 47.0% win rate. This data represents 85,557 games analyzed over 14 days from 02/15/2026 to 03/01/2026.
Usage Trends
Usage has been trending upward over the past two weeks, indicating growing popularity in the metagame. Win rate has remained consistent throughout the analysis period.
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 Fake Out used in 35.8% of battles. Heal Pulse demonstrates the highest win rate at 58.4% While Fake Out is the most popular choice, Heal Pulse shows promising results as an underexplored option.
Team Synergies
Frequently partners with Incineroar, Scream Tail, and Amoonguss in successful team compositions. The strongest synergy is observed with Clefairy, achieving a 56.9% win rate when used together.
Matchup Analysis
Favorable matchups include Ninetales-Alola, Heatran, and Cresselia, while caution is advised against Gholdengo, Regidrago, and Dondozo. Particularly effective against Ninetales-Alola with a 56.6% win rate in direct matchups.
Strategic Recommendations
Gothitelle currently faces challenges in the competitive environment. Success with this Pokemon requires careful team building and strategic play to overcome unfavorable matchups. Consider alternative options or specialized team strategies.
Frequent Partners
Frequent Matchups
Strong Partners
Challenging Partners
Favorable Matchups
Difficult Matchups
