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
Tinkaton Competitive Analysis
Performance Metrics
Tinkaton currently holds a E tier ranking in the VGC 2026 Regulation M-A (Pokemon Champions) metagame with a 1.8% usage rate and 47.5% win rate. This data represents 178,755 games analyzed over 28 days from 05/21/2026 to 06/17/2026.
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 Fake Out used in 37.7% of battles. Feint demonstrates the highest win rate at 55.8% While Fake Out is the most popular choice, Feint shows promising results as an underexplored option.
Team Synergies
Frequently partners with Sinistcha, Incineroar, and Gengar in successful team compositions. The strongest synergy is observed with Venusaur, achieving a 53.3% win rate when used together.
Matchup Analysis
Favorable matchups include Espathra, Lucario, and Gengar, while caution is advised against Meganium, Aegislash, and Hydreigon. Particularly effective against Espathra with a 55.2% win rate in direct matchups.
Strategic Recommendations
Tinkaton 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
