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
Tyranitar Competitive Analysis
Performance Metrics
Tyranitar currently holds a E tier ranking in the VGC 2026 Regulation I metagame with a 1.6% usage rate and 45.4% win rate. This data represents 28,431 games analyzed over 14 days from 02/12/2026 to 02/20/2026.
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 Rock Slide used in 22.4% of battles. Tera Blast demonstrates the highest win rate at 57.4% While Rock Slide is the most popular choice, Tera Blast shows promising results as an underexplored option.
Team Synergies
Frequently partners with Zamazenta-*, Excadrill, and Gastrodon in successful team compositions. The strongest synergy is observed with Ting-Lu, achieving a 63.4% win rate when used together.
Matchup Analysis
Favorable matchups include Ogerpon-Hearthflame, Ogerpon-Wellspring, and Whimsicott, while caution is advised against Zacian-*, Lunala, and Chi-Yu. Particularly effective against Ogerpon-Hearthflame with a 58.3% win rate in direct matchups.
Strategic Recommendations
Tyranitar 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