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
Serperior Competitive Analysis
Performance Metrics
Serperior currently holds a E tier ranking in the OU (Over Used) metagame with a 2.0% usage rate and 47.9% win rate. This data represents 55,943 games analyzed over 14 days from 08/14/2026 to 08/28/2026.
Usage Trends
Usage has declined recently, potentially due to rising counters or metagame shifts. 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 Leaf Storm used in 58.2% of battles. Giga Drain demonstrates the highest win rate at 64.6% While Leaf Storm is the most popular choice, Giga Drain shows promising results as an underexplored option.
Team Synergies
Frequently partners with Great Tusk, Gholdengo, and Rillaboom in successful team compositions. The strongest synergy is observed with Iron Moth, achieving a 56.1% win rate when used together.
Matchup Analysis
Favorable matchups include Weezing-Galar, Garganacl, and Gliscor, while caution is advised against Ninetales-Alola, Iron Moth, and Samurott-Hisui. Particularly effective against Weezing-Galar with a 62.8% win rate in direct matchups.
Strategic Recommendations
Serperior 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
