🎯 Recommended Matches
Data-driven match suggestions to improve ranking quality, meta balance, and data coverage. These recommendations are advisory and aim to maximize information gain per match.
📊 Recommendation Summary
⭐ Top Recommendations
These are the highest-value matchups based on information gain scoring.
📂 Recommendations by Category
🧪 Low-Data Beys (Exploration)
Beys with significantly fewer matches than average. These need more games to establish reliable ratings.
⚖️ ELO Clarity / Leaderboard Stabilization
Beys with similar ELO ratings that haven't played each other. Direct comparisons clarify rankings.
📊 High-Uncertainty Matchups
Beys with high ELO volatility. Playing against stable references helps stabilize their ratings.
🔄 Meta-Balance Matches
Matchups between frequently played and rarely played Beys. Prevents ELO inflation in closed meta loops.
🎲 Upset & Hypothesis Testing
Matches with high upset potential. Tests ELO assumptions and identifies over/underrated Beys.