
Lyath
GoldmaneComboMidrange
Difficulty:
4.0
Silver Age
All statistics and data on this page are for Silver Age format

Silver Age Performance Summary
W
58
L
87
D
5
Players ranked by Bayesian smoothed win rate with Lyath in All Time
Total Pilots
24
Time Period
All Time
Last Updated
Jul 26, 2026 at 8:55 AM
United States
Smoothed Win Rate
41.6%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
#2 Jaap IJlst
Netherlands
Smoothed Win Rate
41.4%
Raw Win Rate
53.8%
Record
7-5-1
Events / Games
1 / 13
#3 Moiz Hasan
United States
Smoothed Win Rate
40.9%
Raw Win Rate
55.6%
Record
5-3-1
Events / Games
1 / 9
#4 Dennis Hahn
Germany
Smoothed Win Rate
40.7%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#5 洋介 小池
Japan
Smoothed Win Rate
40.0%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
2 / 8
Greece
Smoothed Win Rate
40.0%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
France
Smoothed Win Rate
40.0%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
#8 Cheng Zhang
China
Smoothed Win Rate
39.1%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
Japan
Smoothed Win Rate
38.9%
Raw Win Rate
40.0%
Record
4-5-1
Events / Games
1 / 10
#10 Tyler Brotton
United States
Smoothed Win Rate
38.8%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#11 robert john hall
United Kingdom
Smoothed Win Rate
38.8%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
Denmark
Smoothed Win Rate
38.7%
Raw Win Rate
38.9%
Record
7-10-1
Events / Games
2 / 18
#13 Markus Withakay
United States
Smoothed Win Rate
38.5%
Raw Win Rate
37.5%
Record
3-5-0
Events / Games
1 / 8
#14 Patrick Cohea
United Kingdom
Smoothed Win Rate
38.0%
Raw Win Rate
0.0%
Record
0-1-0
Events / Games
1 / 1
#15 Trevor Valentine
United States
Smoothed Win Rate
38.0%
Raw Win Rate
0.0%
Record
0-1-0
Events / Games
1 / 1
Italy
Smoothed Win Rate
37.8%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#17 Jack Green
United Kingdom
Smoothed Win Rate
37.4%
Raw Win Rate
0.0%
Record
0-2-0
Events / Games
1 / 2
#18 Jonathan Chu
United States
Smoothed Win Rate
37.4%
Raw Win Rate
0.0%
Record
0-2-0
Events / Games
1 / 2
#19 gary grine
United States
Smoothed Win Rate
37.4%
Raw Win Rate
0.0%
Record
0-2-0
Events / Games
1 / 2
#20 Spencer Astling
United States
Smoothed Win Rate
37.2%
Raw Win Rate
20.0%
Record
1-4-0
Events / Games
1 / 5
#21 David Sarraf
United States
Smoothed Win Rate
36.8%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#22 David Wagoner
United States
Smoothed Win Rate
36.8%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#23 Jacob Tavres
United States
Smoothed Win Rate
36.6%
Raw Win Rate
16.7%
Record
1-5-0
Events / Games
1 / 6
#24 Chubbs Irons
United States
Smoothed Win Rate
36.0%
Raw Win Rate
14.3%
Record
1-5-1
Events / Games
1 / 7
| Rank | Player | Win Rate | Record | Games |
|---|---|---|---|---|
#1 | United States | 41.6% | 5-3-0 | 8 |
#2 | Netherlands | 41.4% | 7-5-1 | 13 |
#3 | United States | 40.9% | 5-3-1 | 9 |
#4 | Germany | 40.7% | 4-3-0 | 7 |
#5 | Japan | 40.0% | 4-4-0 | 8 |
#6 | Greece | 40.0% | 4-4-0 | 8 |
#7 | France | 40.0% | 4-4-0 | 8 |
#8 | China | 39.1% | 3-4-0 | 7 |
#9 | Japan | 38.9% | 4-5-1 | 10 |
#10 | United States | 38.8% | 2-3-0 | 5 |
#11 | United Kingdom | 38.8% | 2-3-0 | 5 |
#12 | Denmark | 38.7% | 7-10-1 | 18 |
#13 | United States | 38.5% | 3-5-0 | 8 |
#14 | United Kingdom | 38.0% | 0-1-0 | 1 |
#15 | United States | 38.0% | 0-1-0 | 1 |
#16 | Italy | 37.8% | 1-3-0 | 4 |
#17 | United Kingdom | 37.4% | 0-2-0 | 2 |
#18 | United States | 37.4% | 0-2-0 | 2 |
#19 | United States | 37.4% | 0-2-0 | 2 |
#20 | United States | 37.2% | 1-4-0 | 5 |
#21 | United States | 36.8% | 0-3-0 | 3 |
#22 | United States | 36.8% | 0-3-0 | 3 |
#23 | United States | 36.6% | 1-5-0 | 6 |
#24 | United States | 36.0% | 1-5-1 | 7 |
How Performance is Calculated
This leaderboard uses Bayesian smoothing to provide more reliable win rate estimates. The smoothed win rate balances actual performance with the hero's average win rate (38.7%), giving more weight to actual results as sample size increases.
Formula: Smoothed Win Rate = (Wins + 58 × Hero Average) ÷ (Games + 58)
W = 58 (median games played in this period — self-calibrates with the dataset)