Understand how the Mastery Score system works by simulating match outcomes and seeing how rankings change. This tool helps you understand the fairness and transparency of our ranking system.
Based on the rating difference, we calculate the probability of each player winning. A higher-rated player has a higher expected score.
Determines how much rankings can change. Newer players (fewer matches) have higher K-factors, allowing faster adjustments. The K-factor also increases with larger rating differences.
Dominant wins (large score differences) are rewarded more. A 6-1 victory counts more than a 6-4 victory, encouraging competitive play.
When a lower-ranked player beats a higher-ranked player, they receive a significant bonus (up to 3x). This rewards skill improvement and prevents the system from being too conservative.
The system considers multiple factors, not just wins and losses, providing a more accurate representation of skill.
Upset bonuses and score factors reward players for challenging themselves and playing their best.
New players adjust faster, while experienced players have more stable rankings, creating a balanced system for all skill levels.
Every calculation is visible and explainable, building trust in the ranking system.
• Try different score combinations to see how dominant wins affect rankings
• Experiment with rating differences to understand upset bonuses
• Compare players with different match counts to see K-factor effects
OpenScor