Dromai

Ash Artist

Dromai has a 52.3% win rate across 5,091 tracked Classic Constructed matches (data through August 2026).

AggressiveBoard Presence

Difficulty:

3.5

Classic Constructed Living Legend Apr 19, 2024

Classic Constructed Performance Summary

Data through August 2026

Overall Win Rate

52.3%

Total Matches

5,091

Record

2597

2370

124

Tournaments

Players ranked by Bayesian smoothed win rate with Dromai in All Time

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

Total Pilots

507

Time Period

All Time

Data Through

August 2026

#1 Aaron Shantz

Canada

Smoothed Win Rate

60.6%

Raw Win Rate

69.8%

Record

44-19-0

Events / Games

7 / 63

#2 Nick Butcher

Australia

Smoothed Win Rate

59.6%

Raw Win Rate

74.3%

Record

26-8-1

Events / Games

3 / 35

#3 Nicholas Tran

United States

Smoothed Win Rate

59.3%

Raw Win Rate

75.0%

Record

24-7-1

Events / Games

3 / 32

#4 Reese Toomre

United States

Smoothed Win Rate

59.1%

Raw Win Rate

73.5%

Record

25-8-1

Events / Games

3 / 34

#5 Juha Saarnilampi

Finland

Smoothed Win Rate

58.2%

Raw Win Rate

69.2%

Record

27-12-0

Events / Games

4 / 39

#6 Shawn Dhaliwal

Canada

Smoothed Win Rate

58.0%

Raw Win Rate

68.3%

Record

28-13-0

Events / Games

4 / 41

#7 Ian Zhang

Netherlands

Smoothed Win Rate

57.8%

Raw Win Rate

67.4%

Record

29-12-2

Events / Games

5 / 43

#8 Gui Cohen

United States

Smoothed Win Rate

57.8%

Raw Win Rate

71.0%

Record

22-9-0

Events / Games

3 / 31

#9 Jeremy Chen

United States

Smoothed Win Rate

57.6%

Raw Win Rate

73.1%

Record

19-7-0

Events / Games

2 / 26

#10 Austin Redington

United States

Smoothed Win Rate

57.3%

Raw Win Rate

81.2%

Record

13-3-0

Events / Games

2 / 16

#11 Jamie Faulkner

United Kingdom

Smoothed Win Rate

57.0%

Raw Win Rate

70.4%

Record

19-8-0

Events / Games

3 / 27

#12 Daniel Dertoni

Brazil

Smoothed Win Rate

56.9%

Raw Win Rate

84.6%

Record

11-2-0

Events / Games

2 / 13

#13 Matthew Vore

United States

Smoothed Win Rate

56.7%

Raw Win Rate

80.0%

Record

12-3-0

Events / Games

1 / 15

#14 Kuan Li

Australia

Smoothed Win Rate

56.6%

Raw Win Rate

70.8%

Record

17-7-0

Events / Games

2 / 24

#15 Mara Faris

United States

Smoothed Win Rate

56.6%

Raw Win Rate

63.8%

Record

30-17-0

Events / Games

5 / 47

#16 Rocko Yan

Hong Kong

Smoothed Win Rate

56.5%

Raw Win Rate

66.7%

Record

22-8-3

Events / Games

4 / 33

#17 Kelvin Ng

Hong Kong

Smoothed Win Rate

55.7%

Raw Win Rate

70.0%

Record

14-6-0

Events / Games

2 / 20

#18 Michael Lau

United States

Smoothed Win Rate

55.7%

Raw Win Rate

63.2%

Record

24-14-0

Events / Games

4 / 38

#19 Oliver Spapens

Netherlands

Smoothed Win Rate

55.5%

Raw Win Rate

76.9%

Record

10-3-0

Events / Games

1 / 13

#20 Damien Riggins

United States

Smoothed Win Rate

55.3%

Raw Win Rate

70.6%

Record

12-5-0

Events / Games

2 / 17

#21 Muhamad Fachrul

Australia

Smoothed Win Rate

55.1%

Raw Win Rate

68.4%

Record

13-6-0

Events / Games

2 / 19

#22 Joseph Kaiser

United States

Smoothed Win Rate

55.0%

Raw Win Rate

61.0%

Record

25-16-0

Events / Games

4 / 41

#23 Joshua Rath

United States

Smoothed Win Rate

54.9%

Raw Win Rate

75.0%

Record

9-3-0

Events / Games

1 / 12

#24 Derk Hua Lee

Malaysia

Smoothed Win Rate

54.9%

Raw Win Rate

75.0%

Record

9-3-0

Events / Games

1 / 12

#25 Jacob Baugh

United States

Smoothed Win Rate

54.8%

Raw Win Rate

71.4%

Record

10-4-0

Events / Games

1 / 14

#26 Jason Watkins

United States

Smoothed Win Rate

54.7%

Raw Win Rate

61.1%

Record

22-12-2

Events / Games

4 / 36

#27 Arthur Trehet

France

Smoothed Win Rate

54.6%

Raw Win Rate

63.0%

Record

17-7-3

Events / Games

3 / 27

#28 Elliot Lucas Marcell Tan

Singapore

Smoothed Win Rate

54.4%

Raw Win Rate

65.0%

Record

13-6-1

Events / Games

2 / 20

#29 nicolas Jamoulle

Canada

Smoothed Win Rate

54.3%

Raw Win Rate

60.6%

Record

20-13-0

Events / Games

4 / 33

#30 Michael Jaszczur

Canada

Smoothed Win Rate

54.2%

Raw Win Rate

69.2%

Record

9-4-0

Events / Games

1 / 13

#31 Dylan Williamson

United States

Smoothed Win Rate

54.2%

Raw Win Rate

69.2%

Record

9-3-1

Events / Games

1 / 13

#32 Matt Kohls

United States

Smoothed Win Rate

54.2%

Raw Win Rate

69.2%

Record

9-4-0

Events / Games

1 / 13

#33 Sable Wang-Wills

Australia

Smoothed Win Rate

54.2%

Raw Win Rate

69.2%

Record

9-4-0

Events / Games

1 / 13

#34 Aloysius Goh

Singapore

Smoothed Win Rate

54.0%

Raw Win Rate

66.7%

Record

10-4-1

Events / Games

2 / 15

#35 Jeremiah Gardner

United States

Smoothed Win Rate

53.7%

Raw Win Rate

61.9%

Record

13-8-0

Events / Games

2 / 21

#36 Nova Chan

Hong Kong

Smoothed Win Rate

53.7%

Raw Win Rate

75.0%

Record

6-2-0

Events / Games

1 / 8

#37 Thomas Yarbrough

United States

Smoothed Win Rate

53.7%

Raw Win Rate

75.0%

Record

6-2-0

Events / Games

1 / 8

#38 Nicholas Seman

United States

Smoothed Win Rate

53.7%

Raw Win Rate

75.0%

Record

6-2-0

Events / Games

1 / 8

#39 Elise Symmes

United States

Smoothed Win Rate

53.7%

Raw Win Rate

75.0%

Record

6-2-0

Events / Games

1 / 8

#40 Joel Rencen

United Kingdom

Smoothed Win Rate

53.6%

Raw Win Rate

60.9%

Record

14-9-0

Events / Games

3 / 23

#41 SEAN STELL

United States

Smoothed Win Rate

53.6%

Raw Win Rate

60.9%

Record

14-9-0

Events / Games

3 / 23

#42 Chris Brummett

United States

Smoothed Win Rate

53.5%

Raw Win Rate

66.7%

Record

8-4-0

Events / Games

1 / 12

#43 Nathan Crawford

United States

Smoothed Win Rate

53.5%

Raw Win Rate

66.7%

Record

8-4-0

Events / Games

1 / 12

#44 loki chan

Hong Kong

Smoothed Win Rate

53.5%

Raw Win Rate

66.7%

Record

8-4-0

Events / Games

1 / 12

#45 Mervyn Lin

Singapore

Smoothed Win Rate

53.5%

Raw Win Rate

66.7%

Record

8-3-1

Events / Games

1 / 12

#46 Chen Jeng-CJ

Taiwan

Smoothed Win Rate

53.5%

Raw Win Rate

66.7%

Record

8-4-0

Events / Games

1 / 12

#47 Quinn Wongkew

United States

Smoothed Win Rate

53.3%

Raw Win Rate

62.5%

Record

10-6-0

Events / Games

2 / 16

#48 Phillip Manwaring

United States

Smoothed Win Rate

53.1%

Raw Win Rate

59.1%

Record

13-9-0

Events / Games

3 / 22

#49 Jeremy Langevin

United States

Smoothed Win Rate

53.0%

Raw Win Rate

58.3%

Record

14-9-1

Events / Games

3 / 24

#50 Eric Nguyễn

Vietnam

Smoothed Win Rate

53.0%

Raw Win Rate

58.3%

Record

14-10-0

Events / Games

2 / 24

Rank	Player	Win Rate	Raw %	Record	Events	Games
#1	Aaron Shantz Canada	60.6%	69.8%	44-19-0	7	63
#2	Nick Butcher Australia	59.6%	74.3%	26-8-1	3	35
#3	Nicholas Tran United States	59.3%	75.0%	24-7-1	3	32
#4	Reese Toomre United States	59.1%	73.5%	25-8-1	3	34
#5	Juha Saarnilampi Finland	58.2%	69.2%	27-12-0	4	39
#6	Shawn Dhaliwal Canada	58.0%	68.3%	28-13-0	4	41
#7	Ian Zhang Netherlands	57.8%	67.4%	29-12-2	5	43
#8	Gui Cohen United States	57.8%	71.0%	22-9-0	3	31
#9	Jeremy Chen United States	57.6%	73.1%	19-7-0	2	26
#10	Austin Redington United States	57.3%	81.2%	13-3-0	2	16
#11	Jamie Faulkner United Kingdom	57.0%	70.4%	19-8-0	3	27
#12	Daniel Dertoni Brazil	56.9%	84.6%	11-2-0	2	13
#13	Matthew Vore United States	56.7%	80.0%	12-3-0	1	15
#14	Kuan Li Australia	56.6%	70.8%	17-7-0	2	24
#15	Mara Faris United States	56.6%	63.8%	30-17-0	5	47
#16	Rocko Yan Hong Kong	56.5%	66.7%	22-8-3	4	33
#17	Kelvin Ng Hong Kong	55.7%	70.0%	14-6-0	2	20
#18	Michael Lau United States	55.7%	63.2%	24-14-0	4	38
#19	Oliver Spapens Netherlands	55.5%	76.9%	10-3-0	1	13
#20	Damien Riggins United States	55.3%	70.6%	12-5-0	2	17
#21	Muhamad Fachrul Australia	55.1%	68.4%	13-6-0	2	19
#22	Joseph Kaiser United States	55.0%	61.0%	25-16-0	4	41
#23	Joshua Rath United States	54.9%	75.0%	9-3-0	1	12
#24	Derk Hua Lee Malaysia	54.9%	75.0%	9-3-0	1	12
#25	Jacob Baugh United States	54.8%	71.4%	10-4-0	1	14
#26	Jason Watkins United States	54.7%	61.1%	22-12-2	4	36
#27	Arthur Trehet France	54.6%	63.0%	17-7-3	3	27
#28	Elliot Lucas Marcell Tan Singapore	54.4%	65.0%	13-6-1	2	20
#29	nicolas Jamoulle Canada	54.3%	60.6%	20-13-0	4	33
#30	Michael Jaszczur Canada	54.2%	69.2%	9-4-0	1	13
#31	Dylan Williamson United States	54.2%	69.2%	9-3-1	1	13
#32	Matt Kohls United States	54.2%	69.2%	9-4-0	1	13
#33	Sable Wang-Wills Australia	54.2%	69.2%	9-4-0	1	13
#34	Aloysius Goh Singapore	54.0%	66.7%	10-4-1	2	15
#35	Jeremiah Gardner United States	53.7%	61.9%	13-8-0	2	21
#36	Nova Chan Hong Kong	53.7%	75.0%	6-2-0	1	8
#37	Thomas Yarbrough United States	53.7%	75.0%	6-2-0	1	8
#38	Nicholas Seman United States	53.7%	75.0%	6-2-0	1	8
#39	Elise Symmes United States	53.7%	75.0%	6-2-0	1	8
#40	Joel Rencen United Kingdom	53.6%	60.9%	14-9-0	3	23
#41	SEAN STELL United States	53.6%	60.9%	14-9-0	3	23
#42	Chris Brummett United States	53.5%	66.7%	8-4-0	1	12
#43	Nathan Crawford United States	53.5%	66.7%	8-4-0	1	12
#44	loki chan Hong Kong	53.5%	66.7%	8-4-0	1	12
#45	Mervyn Lin Singapore	53.5%	66.7%	8-3-1	1	12
#46	Chen Jeng-CJ Taiwan	53.5%	66.7%	8-4-0	1	12
#47	Quinn Wongkew United States	53.3%	62.5%	10-6-0	2	16
#48	Phillip Manwaring United States	53.1%	59.1%	13-9-0	3	22
#49	Jeremy Langevin United States	53.0%	58.3%	14-9-1	3	24
#50	Eric Nguyễn Vietnam	53.0%	58.3%	14-10-0	2	24

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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 (50.8%), giving more weight to actual results as sample size increases.

Formula: Smoothed Win Rate = (Wins + 59 × Hero Average) ÷ (Games + 59)
W = 59 (median games played in this period — self-calibrates with the dataset)