Lyath Goldmane

Vile Savant

ComboMidrange

Difficulty:

4.0

Classic Constructed

Classic Constructed Performance Summary

Overall Win Rate

42.8%

Total Matches

346

Record

142

190

Tournaments

Players ranked by Bayesian smoothed win rate with Lyath Goldmane in All Time

Time Period: Last 30 Days Last 3 Months Last 6 Months Last Year

Total Pilots

Time Period

All Time

Last Updated

Jul 22, 2026 at 10:54 AM

#1 Ji Timm Lee

Malaysia

Smoothed Win Rate

49.6%

Raw Win Rate

76.9%

Record

10-3-0

Events / Games

1 / 13

#2 Chanon Puttaree

Thailand

Smoothed Win Rate

48.2%

Raw Win Rate

72.7%

Record

8-3-0

Events / Games

1 / 11

#3 Joshua Neitzel

United States

Smoothed Win Rate

48.1%

Raw Win Rate

77.8%

Record

7-2-0

Events / Games

1 / 9

#4 Liam Holden

United Kingdom

Smoothed Win Rate

47.5%

Raw Win Rate

66.7%

Record

8-4-0

Events / Games

1 / 12

#5 Jason Rolfe

United Kingdom

Smoothed Win Rate

47.5%

Raw Win Rate

66.7%

Record

8-4-0

Events / Games

1 / 12

#6 Franche Tan

United States

Smoothed Win Rate

46.5%

Raw Win Rate

71.4%

Record

5-2-0

Events / Games

1 / 7

#7 Jaap IJlst

Netherlands

Smoothed Win Rate

46.3%

Raw Win Rate

56.2%

Record

9-6-1

Events / Games

2 / 16

#8 Louis Glenn

Thailand

Smoothed Win Rate

46.1%

Raw Win Rate

57.1%

Record

8-6-0

Events / Games

2 / 14

#9 Cosmo Hahn

Germany

Smoothed Win Rate

45.8%

Raw Win Rate

62.5%

Record

5-2-1

Events / Games

1 / 8

#10 Oliver Berry

New Zealand

Smoothed Win Rate

45.1%

Raw Win Rate

55.6%

Record

5-2-2

Events / Games

1 / 9

#11 Alexandre Lebec

France

Smoothed Win Rate

45.0%

Raw Win Rate

57.1%

Record

4-3-0

Events / Games

1 / 7

#12 Evan Brook

United States

Smoothed Win Rate

45.0%

Raw Win Rate

57.1%

Record

4-3-0

Events / Games

1 / 7

#13 Hugh Wang

United States

Smoothed Win Rate

44.1%

Raw Win Rate

50.0%

Record

3-2-1

Events / Games

1 / 6

#14 廖皓然

Hong Kong

Smoothed Win Rate

43.8%

Raw Win Rate

45.5%

Record

5-6-0

Events / Games

1 / 11

#15 Jun Sato

Japan

Smoothed Win Rate

43.4%

Raw Win Rate

42.9%

Record

3-3-1

Events / Games

1 / 7

#16 David Pantoja Sánchez

Spain

Smoothed Win Rate

43.4%

Raw Win Rate

42.9%

Record

3-4-0

Events / Games

1 / 7

#17 Aaron Franklin

United States

Smoothed Win Rate

43.4%

Raw Win Rate

42.9%

Record

3-4-0

Events / Games

1 / 7

#18 Arthur Brunoni

France

Smoothed Win Rate

43.2%

Raw Win Rate

40.0%

Record

2-3-0

Events / Games

1 / 5

#19 Noah Beygelman

United States

Smoothed Win Rate

43.2%

Raw Win Rate

40.0%

Record

2-3-0

Events / Games

1 / 5

#20 Albert Purvis

United States

Smoothed Win Rate

43.0%

Raw Win Rate

33.3%

Record

1-2-0

Events / Games

1 / 3

#21 Alexander Dobler

Australia

Smoothed Win Rate

42.5%

Raw Win Rate

33.3%

Record

2-4-0

Events / Games

1 / 6

#22 Paul Johnson

New Zealand

Smoothed Win Rate

42.3%

Raw Win Rate

25.0%

Record

1-3-0

Events / Games

1 / 4

#23 Jordyn Denver

United States

Smoothed Win Rate

42.3%

Raw Win Rate

25.0%

Record

1-3-0

Events / Games

1 / 4

#24 HAN LONG LIU

Taiwan

Smoothed Win Rate

42.3%

Raw Win Rate

25.0%

Record

1-3-0

Events / Games

1 / 4

#25 Tomoyuki Yagura

Japan

Smoothed Win Rate

42.3%

Raw Win Rate

25.0%

Record

1-2-1

Events / Games

1 / 4

#26 Kidd Bliss

United States

Smoothed Win Rate

42.3%

Raw Win Rate

25.0%

Record

1-3-0

Events / Games

1 / 4

#27 SATOSHI NAKATA

Japan

Smoothed Win Rate

42.0%

Raw Win Rate

0.0%

Record

0-2-0

Events / Games

1 / 2

#28 yanao kento

Japan

Smoothed Win Rate

42.0%

Raw Win Rate

0.0%

Record

0-2-0

Events / Games

1 / 2

#29 Ricardo de Campos Dorini

Brazil

Smoothed Win Rate

41.9%

Raw Win Rate

28.6%

Record

2-5-0

Events / Games

1 / 7

#30 Larry Durham

United States

Smoothed Win Rate

41.4%

Raw Win Rate

0.0%

Record

0-3-0

Events / Games

1 / 3

#31 Hidenori Yano

Japan

Smoothed Win Rate

41.4%

Raw Win Rate

0.0%

Record

0-3-0

Events / Games

1 / 3

#32 Adam Lucka

United States

Smoothed Win Rate

41.3%

Raw Win Rate

25.0%

Record

2-6-0

Events / Games

1 / 8

#33 Daniel Johnson : )

Australia

Smoothed Win Rate

41.0%

Raw Win Rate

16.7%

Record

1-5-0

Events / Games

2 / 6

#34 Trevor Valentine

United States

Smoothed Win Rate

40.7%

Raw Win Rate

0.0%

Record

0-3-1

Events / Games

1 / 4

#35 narihiko serikyaku

Japan

Smoothed Win Rate

40.7%

Raw Win Rate

0.0%

Record

0-4-0

Events / Games

1 / 4

#36 Nicolas Millaire

Canada

Smoothed Win Rate

40.3%

Raw Win Rate

14.3%

Record

1-6-0

Events / Games

1 / 7

#37 Luca Scherner

Germany

Smoothed Win Rate

40.0%

Raw Win Rate

0.0%

Record

0-5-0

Events / Games

1 / 5

#38 Mikey Kell

United States

Smoothed Win Rate

39.4%

Raw Win Rate

0.0%

Record

0-6-0

Events / Games

1 / 6

#39 Shine Wong cm

Hong Kong

Smoothed Win Rate

38.6%

Raw Win Rate

10.0%

Record

1-7-2

Events / Games

2 / 10

Rank	Player	Win Rate	Raw %	Record	Events	Games
#1	Ji Timm Lee Malaysia	49.6%	76.9%	10-3-0	1	13
#2	Chanon Puttaree Thailand	48.2%	72.7%	8-3-0	1	11
#3	Joshua Neitzel United States	48.1%	77.8%	7-2-0	1	9
#4	Liam Holden United Kingdom	47.5%	66.7%	8-4-0	1	12
#5	Jason Rolfe United Kingdom	47.5%	66.7%	8-4-0	1	12
#6	Franche Tan United States	46.5%	71.4%	5-2-0	1	7
#7	Jaap IJlst Netherlands	46.3%	56.2%	9-6-1	2	16
#8	Louis Glenn Thailand	46.1%	57.1%	8-6-0	2	14
#9	Cosmo Hahn Germany	45.8%	62.5%	5-2-1	1	8
#10	Oliver Berry New Zealand	45.1%	55.6%	5-2-2	1	9
#11	Alexandre Lebec France	45.0%	57.1%	4-3-0	1	7
#12	Evan Brook United States	45.0%	57.1%	4-3-0	1	7
#13	Hugh Wang United States	44.1%	50.0%	3-2-1	1	6
#14	廖皓然 Hong Kong	43.8%	45.5%	5-6-0	1	11
#15	Jun Sato Japan	43.4%	42.9%	3-3-1	1	7
#16	David Pantoja Sánchez Spain	43.4%	42.9%	3-4-0	1	7
#17	Aaron Franklin United States	43.4%	42.9%	3-4-0	1	7
#18	Arthur Brunoni France	43.2%	40.0%	2-3-0	1	5
#19	Noah Beygelman United States	43.2%	40.0%	2-3-0	1	5
#20	Albert Purvis United States	43.0%	33.3%	1-2-0	1	3
#21	Alexander Dobler Australia	42.5%	33.3%	2-4-0	1	6
#22	Paul Johnson New Zealand	42.3%	25.0%	1-3-0	1	4
#23	Jordyn Denver United States	42.3%	25.0%	1-3-0	1	4
#24	HAN LONG LIU Taiwan	42.3%	25.0%	1-3-0	1	4
#25	Tomoyuki Yagura Japan	42.3%	25.0%	1-2-1	1	4
#26	Kidd Bliss United States	42.3%	25.0%	1-3-0	1	4
#27	SATOSHI NAKATA Japan	42.0%	0.0%	0-2-0	1	2
#28	yanao kento Japan	42.0%	0.0%	0-2-0	1	2
#29	Ricardo de Campos Dorini Brazil	41.9%	28.6%	2-5-0	1	7
#30	Larry Durham United States	41.4%	0.0%	0-3-0	1	3
#31	Hidenori Yano Japan	41.4%	0.0%	0-3-0	1	3
#32	Adam Lucka United States	41.3%	25.0%	2-6-0	1	8
#33	Daniel Johnson : ) Australia	41.0%	16.7%	1-5-0	2	6
#34	Trevor Valentine United States	40.7%	0.0%	0-3-1	1	4
#35	narihiko serikyaku Japan	40.7%	0.0%	0-4-0	1	4
#36	Nicolas Millaire Canada	40.3%	14.3%	1-6-0	1	7
#37	Luca Scherner Germany	40.0%	0.0%	0-5-0	1	5
#38	Mikey Kell United States	39.4%	0.0%	0-6-0	1	6
#39	Shine Wong cm Hong Kong	38.6%	10.0%	1-7-2	2	10

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 (43.5%), 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)