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
Ninetales-Alola Competitive Analysis
Performance Metrics
Ninetales-Alola currently holds a S tier ranking in the BSS Regulation M-C (Pokemon Champions) metagame with a 15.2% usage rate and 61.4% win rate. This data represents 1,444 games analyzed over 14 days from 09/09/2026 to 09/10/2026.
Usage Trends
Usage has declined recently, potentially due to rising counters or metagame shifts. Win rate has decreased recently, which may indicate emerging counters or declining effectiveness.
Rating Tier Performance
This Pokemon sees significantly higher usage in high-level play, indicating strong competitive viability among top players.
Key Moves
The most frequently used move in competitive battles is Aurora Veil used in 36.8% of battles. Freeze-Dry demonstrates the highest win rate at 68.4% While Aurora Veil is the most popular choice, Freeze-Dry shows promising results as an underexplored option.
Team Synergies
Frequently partners with Salamence, Baxcalibur, and Blaziken in successful team compositions. The strongest synergy is observed with Glalie, achieving a 85.7% win rate when used together.
Matchup Analysis
Favorable matchups include Indeedee, Politoed, and Sinistcha, while caution is advised against Sableye, Banette, and Toxtricity. Particularly effective against Indeedee with a 100.0% win rate in direct matchups.
Strategic Recommendations
Ninetales-Alola demonstrates top-tier performance in the current metagame. Its combination of high usage and strong win rate makes it a reliable choice for competitive play. Consider building teams that leverage its strengths while addressing common counter strategies.
Frequent Partners
Frequent Matchups
Strong Partners
Challenging Partners
Favorable Matchups
Difficult Matchups
