Win Rate Leaderboard
Top players by win percentage in Last 3 Months
Bayesian Smoothed Win Rate
This leaderboard uses Bayesian smoothing to provide more reliable win rate estimates, especially for players with fewer games. The smoothed win rate balances a player's actual performance with the overall average, giving more weight to actual results as sample size increases.
Calculation Method
Smoothed Win Rate = (Player Wins + 13 × Global Average) ÷ (Player Games + 13)
The global average is currently 50.2% — the overall win rate across all competitive matches (naturally near 50% since every match has one winner and one loser).
W = 13 games — the median number of matches played by players in the selected period. This self-calibrates as the dataset grows: players with fewer games than the median are pulled toward the global average; players with more games are ranked primarily on their actual results.
Why This Approach?
Raw win percentages can be misleading for players with few games. A player who goes 3-0 would have 100% win rate, but this doesn't reflect true skill level. Bayesian smoothing gives these players a rating closer to the global average until they accumulate more games to prove their performance.
Example
Player A: 3 wins, 0 losses (100% raw) → 59.6% smoothed
Player B: 45 wins, 15 losses (75% raw) → 70.6% smoothed
Player B's rating is more trustworthy due to larger sample size.
| Rank | Player | Win Rate | Record | Games |
|---|---|---|---|---|
#1701 | Indonesia | 37.7% | 1-6-0 | 7 |
#1702 | 37.7% | 1-5-1 | 7 | |
#1703 | Indonesia | 37.7% | 1-4-2 | 7 |
#1704 | Japan | 37.7% | 1-6-0 | 7 |
#1705 | Singapore | 37.7% | 1-6-0 | 7 |
#1706 | Japan | 37.7% | 1-5-1 | 7 |
#1707 | Malaysia | 37.7% | 1-5-1 | 7 |
#1708 | Japan | 37.7% | 1-6-0 | 7 |
#1709 | Japan | 37.7% | 1-6-0 | 7 |
#1710 | United Kingdom | 37.7% | 1-6-0 | 7 |
#1711 | United Kingdom | 37.7% | 1-6-0 | 7 |
#1712 | United States | 37.1% | 2-8-0 | 10 |
#1713 | United States | 37.1% | 2-8-0 | 10 |
#1714 | Ecuador | 37.1% | 2-8-0 | 10 |
#1715 | Singapore | 36.3% | 0-5-0 | 5 |
#1716 | Germany | 36.3% | 0-5-0 | 5 |
#1717 | United Kingdom | 35.9% | 1-6-1 | 8 |
#1718 | United Kingdom | 35.9% | 1-7-0 | 8 |
#1719 | United States | 35.9% | 1-7-0 | 8 |
#1720 | United States | 35.9% | 1-7-0 | 8 |
#1721 | United States | 35.9% | 1-7-0 | 8 |
#1722 | United States | 35.5% | 2-9-0 | 11 |
#1723 | Brazil | 34.4% | 0-6-0 | 6 |
#1724 | France | 34.2% | 1-8-0 | 9 |
#1725 | Canada | 34.2% | 1-8-0 | 9 |
#1726 | United States | 34.1% | 2-10-0 | 12 |
#1727 | Indonesia | 32.7% | 0-6-1 | 7 |
#1728 | Japan | 31.6% | 2-12-0 | 14 |