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
Ogerpon-Cornerstone Competitive Analysis
Performance Metrics
Ogerpon-Cornerstone currently holds a C tier ranking in the VGC 2026 Regulation I metagame with a 3.0% usage rate and 52.5% win rate. This data represents 16,640 games analyzed over 14 days from 01/06/2026 to 01/13/2026.
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 Ivy Cudgel used in 24.7% of battles. Follow Me demonstrates the highest win rate at 55.4% While Ivy Cudgel is the most popular choice, Follow Me shows promising results as an underexplored option.
Team Synergies
Frequently partners with Calyrex-Shadow, Zamazenta-*, and Incineroar in successful team compositions. The strongest synergy is observed with Terapagos, achieving a 64.5% win rate when used together.
Matchup Analysis
Favorable matchups include Iron Bundle, Muk-Alola, and Sableye, while caution is advised against Iron Valiant, Urshifu-SingleStrike, and Ditto. Particularly effective against Iron Bundle with a 76.0% win rate in direct matchups.
Strategic Recommendations
Ogerpon-Cornerstone 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
