Win Rate Leaderboard
Data through August 2026
Top players by win percentage in Last Year
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 + 18 × Global Average) ÷ (Player Games + 18)
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 = 18 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) → 57.3% smoothed
Player B: 45 wins, 15 losses (75% raw) → 69.3% smoothed
Player B's rating is more trustworthy due to larger sample size.
| Rank | Player | Win Rate | Record | Games |
|---|---|---|---|---|
#5351 | Germany | 34.7% | 0-8-0 | 8 |
#5352 | Malaysia | 34.6% | 1-10-0 | 11 |
#5353 | Hong Kong | 34.6% | 1-10-0 | 11 |
#5354 | Japan | 34.6% | 1-10-0 | 11 |
#5355 | France | 34.5% | 2-12-0 | 14 |
#5356 | Hong Kong | 34.5% | 2-10-2 | 14 |
#5357 | Japan | 34.4% | 13-33-0 | 46 |
#5358 | Japan | 34.2% | 6-20-0 | 26 |
#5359 | United States | 33.5% | 0-8-1 | 9 |
#5360 | United States | 32.4% | 2-14-0 | 16 |
#5361 | Indonesia | 28.2% | 0-12-2 | 14 |