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
Porygon2 Competitive Analysis
Performance Metrics
Porygon2 currently holds a E tier ranking in the OU (Over Used) metagame with a 1.1% usage rate and 47.8% win rate. This data represents 57,779 games analyzed over 14 days from 12/31/2025 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 Trick Room used in 21.4% of battles. Hyper Beam demonstrates the highest win rate at 54.8% While Trick Room is the most popular choice, Hyper Beam shows promising results as an underexplored option.
Team Synergies
Frequently partners with Ursaluna, Hatterene, and Iron Hands in successful team compositions. The strongest synergy is observed with Clefable, achieving a 60.7% win rate when used together.
Matchup Analysis
Favorable matchups include Deoxys-Speed, Zapdos, and Weezing-Galar, while caution is advised against Ting-Lu, Corviknight, and Clefable. Particularly effective against Deoxys-Speed with a 58.0% win rate in direct matchups.
Strategic Recommendations
Porygon2 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
