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
Jolteon Competitive Analysis
Performance Metrics
Jolteon currently holds a E tier ranking in the Champions OU metagame with a 1.3% usage rate and 36.7% win rate. This data represents 3,711 games analyzed over 14 days from 04/11/2026 to 04/12/2026.
Usage Trends
Usage has been trending upward over the past two weeks, indicating growing popularity in the metagame. Win rate has decreased recently, which may indicate emerging counters or declining effectiveness.
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 Shadow Ball used in 24.5% of battles. Thunderbolt demonstrates the highest win rate at 66.7% While Shadow Ball is the most popular choice, Thunderbolt shows promising results as an underexplored option.
Team Synergies
Frequently partners with Volcarona, Kingambit, and Dragapult in successful team compositions. The strongest synergy is observed with Excadrill, achieving a 83.3% win rate when used together.
Matchup Analysis
Favorable matchups include Slowking, Hydrapple, and Orthworm, while caution is advised against Palafin, Delphox, and Kingambit. Particularly effective against Slowking with a 80.0% win rate in direct matchups.
Strategic Recommendations
Jolteon 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
