Dash

I/O

Dash has a 50.8% win rate across 8,342 tracked Classic Constructed matches (data through August 2026).

AggressiveCombo

Difficulty:

3.0

Classic Constructed

Classic Constructed Performance Summary

Data through August 2026

Overall Win Rate

50.8%

Total Matches

8,342

Record

4233

4101

Tournaments

176

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

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

Total Pilots

589

Time Period

All Time

Data Through

August 2026

#1 Thomas Preyer

Germany

Smoothed Win Rate

63.5%

Raw Win Rate

72.4%

Record

63-24-0

Events / Games

7 / 87

#2 Warre Sevens

Belgium

Smoothed Win Rate

61.4%

Raw Win Rate

69.0%

Record

60-27-0

Events / Games

9 / 87

#3 Connor Bryant

United States

Smoothed Win Rate

60.7%

Raw Win Rate

67.8%

Record

59-28-0

Events / Games

10 / 87

#4 Emanuel Corps-Ortiz

United States

Smoothed Win Rate

60.7%

Raw Win Rate

70.3%

Record

45-19-0

Events / Games

6 / 64

#5 Sam Sutherland

Australia

Smoothed Win Rate

60.4%

Raw Win Rate

67.4%

Record

58-28-0

Events / Games

8 / 86

#6 Samo Planinc

Slovenia

Smoothed Win Rate

60.3%

Raw Win Rate

77.1%

Record

27-8-0

Events / Games

3 / 35

#7 Thomas Dowling

Australia

Smoothed Win Rate

59.8%

Raw Win Rate

83.3%

Record

20-4-0

Events / Games

2 / 24

#8 CYK Lionel

Taiwan

Smoothed Win Rate

59.7%

Raw Win Rate

68.2%

Record

45-21-0

Events / Games

7 / 66

#9 Léo Toulouse

France

Smoothed Win Rate

59.7%

Raw Win Rate

70.6%

Record

36-15-0

Events / Games

4 / 51

#10 Jaap IJlst

Netherlands

Smoothed Win Rate

59.1%

Raw Win Rate

65.1%

Record

56-29-1

Events / Games

9 / 86

#11 Evan Herndon

United States

Smoothed Win Rate

58.1%

Raw Win Rate

78.3%

Record

18-5-0

Events / Games

2 / 23

#12 Xincheng Hou

Taiwan

Smoothed Win Rate

57.1%

Raw Win Rate

65.3%

Record

32-17-0

Events / Games

7 / 49

#13 Worranun Suklim

Thailand

Smoothed Win Rate

56.9%

Raw Win Rate

65.9%

Record

29-15-0

Events / Games

4 / 44

#14 Kristian Čurla

Croatia

Smoothed Win Rate

56.8%

Raw Win Rate

100.0%

Record

9-0-0

Events / Games

1 / 9

#15 Rafael Miller

Brazil

Smoothed Win Rate

56.2%

Raw Win Rate

70.8%

Record

17-7-0

Events / Games

2 / 24

#16 Yuki Lee Bender

Canada

Smoothed Win Rate

55.8%

Raw Win Rate

71.4%

Record

15-6-0

Events / Games

2 / 21

#17 Lars Seebacher

Switzerland

Smoothed Win Rate

55.7%

Raw Win Rate

61.4%

Record

35-22-0

Events / Games

7 / 57

#18 Bryan Kong

Singapore

Smoothed Win Rate

55.7%

Raw Win Rate

78.6%

Record

11-3-0

Events / Games

1 / 14

#19 Bun Ar

Hong Kong

Smoothed Win Rate

55.7%

Raw Win Rate

69.6%

Record

16-7-0

Events / Games

3 / 23

#20 Christopher Iaali

United States

Smoothed Win Rate

55.5%

Raw Win Rate

75.0%

Record

12-4-0

Events / Games

2 / 16

#21 Rose smyth

United States

Smoothed Win Rate

55.4%

Raw Win Rate

88.9%

Record

8-1-0

Events / Games

1 / 9

#22 Allen Lau

Hong Kong

Smoothed Win Rate

55.3%

Raw Win Rate

70.0%

Record

14-6-0

Events / Games

2 / 20

#23 Thaminda Edirisooriya

United States

Smoothed Win Rate

55.1%

Raw Win Rate

76.9%

Record

10-3-0

Events / Games

1 / 13

#24 Pedro Lecey Opitz

Brazil

Smoothed Win Rate

55.1%

Raw Win Rate

76.9%

Record

10-3-0

Events / Games

1 / 13

#25 Simon Aguirre

United States

Smoothed Win Rate

54.6%

Raw Win Rate

80.0%

Record

8-2-0

Events / Games

1 / 10

#26 창건 곽

South Korea

Smoothed Win Rate

54.6%

Raw Win Rate

66.7%

Record

14-7-0

Events / Games

3 / 21

#27 Pavlos Konstantinidis

Belgium

Smoothed Win Rate

54.6%

Raw Win Rate

66.7%

Record

14-7-0

Events / Games

3 / 21

#28 Mirko Dolce

Italy

Smoothed Win Rate

54.6%

Raw Win Rate

66.7%

Record

14-7-0

Events / Games

2 / 21

#29 Paweł Rozynek

Poland

Smoothed Win Rate

54.6%

Raw Win Rate

62.5%

Record

20-11-1

Events / Games

3 / 32

#30 Angel Fernandez

Canada

Smoothed Win Rate

54.6%

Raw Win Rate

62.5%

Record

20-12-0

Events / Games

3 / 32

#31 Juha-Matti Pihlajamäki

Finland

Smoothed Win Rate

54.4%

Raw Win Rate

75.0%

Record

9-3-0

Events / Games

1 / 12

#32 GDPR-DEL-07/12/24-11:23:05 GDPR-DEL-07/12/24-11:23:05

Smoothed Win Rate

54.3%

Raw Win Rate

64.0%

Record

16-9-0

Events / Games

3 / 25

#33 Alex Chițu

United Kingdom

Smoothed Win Rate

54.0%

Raw Win Rate

56.4%

Record

53-41-0

Events / Games

13 / 94

#34 Nova Chan

Hong Kong

Smoothed Win Rate

53.9%

Raw Win Rate

77.8%

Record

7-2-0

Events / Games

1 / 9

#35 William Pistel

United States

Smoothed Win Rate

53.9%

Raw Win Rate

77.8%

Record

7-2-0

Events / Games

1 / 9

#36 Anton Cid Mejias

United Kingdom

Smoothed Win Rate

53.8%

Raw Win Rate

57.1%

Record

36-27-0

Events / Games

7 / 63

#37 Mirko Macchia

Italy

Smoothed Win Rate

53.8%

Raw Win Rate

62.5%

Record

15-9-0

Events / Games

3 / 24

#38 Albert GUYO

France

Smoothed Win Rate

53.8%

Raw Win Rate

62.5%

Record

15-9-0

Events / Games

2 / 24

#39 Pat Eshghy

United States

Smoothed Win Rate

53.7%

Raw Win Rate

57.7%

Record

30-22-0

Events / Games

7 / 52

#40 Marc Teunnissen

Germany

Smoothed Win Rate

53.7%

Raw Win Rate

61.5%

Record

16-10-0

Events / Games

3 / 26

#41 Andrea Migliavacca

Italy

Smoothed Win Rate

53.7%

Raw Win Rate

61.5%

Record

16-10-0

Events / Games

3 / 26

#42 Tristin Sedlacek

United States

Smoothed Win Rate

53.7%

Raw Win Rate

69.2%

Record

9-4-0

Events / Games

2 / 13

#43 Brandon Abarca

United States

Smoothed Win Rate

53.7%

Raw Win Rate

69.2%

Record

9-4-0

Events / Games

1 / 13

#44 Kazuya Murakami

Japan

Smoothed Win Rate

53.7%

Raw Win Rate

69.2%

Record

9-4-0

Events / Games

1 / 13

#45 Fabian Rex

Germany

Smoothed Win Rate

53.7%

Raw Win Rate

69.2%

Record

9-4-0

Events / Games

1 / 13

#46 Evan McTernan

Ireland

Smoothed Win Rate

53.6%

Raw Win Rate

56.5%

Record

39-30-0

Events / Games

8 / 69

#47 Ian Zhang

Netherlands

Smoothed Win Rate

53.6%

Raw Win Rate

60.7%

Record

17-11-0

Events / Games

4 / 28

#48 Edward Kimble

United States

Smoothed Win Rate

53.6%

Raw Win Rate

60.7%

Record

17-11-0

Events / Games

4 / 28

#49 CODY READY

United States

Smoothed Win Rate

53.6%

Raw Win Rate

66.7%

Record

10-5-0

Events / Games

2 / 15

#50 Lucas Aquino

Brazil

Smoothed Win Rate

53.6%

Raw Win Rate

66.7%

Record

10-5-0

Events / Games

2 / 15

Rank	Player	Win Rate	Raw %	Record	Events	Games
#1	Thomas Preyer Germany	63.5%	72.4%	63-24-0	7	87
#2	Warre Sevens Belgium	61.4%	69.0%	60-27-0	9	87
#3	Connor Bryant United States	60.7%	67.8%	59-28-0	10	87
#4	Emanuel Corps-Ortiz United States	60.7%	70.3%	45-19-0	6	64
#5	Sam Sutherland Australia	60.4%	67.4%	58-28-0	8	86
#6	Samo Planinc Slovenia	60.3%	77.1%	27-8-0	3	35
#7	Thomas Dowling Australia	59.8%	83.3%	20-4-0	2	24
#8	CYK Lionel Taiwan	59.7%	68.2%	45-21-0	7	66
#9	Léo Toulouse France	59.7%	70.6%	36-15-0	4	51
#10	Jaap IJlst Netherlands	59.1%	65.1%	56-29-1	9	86
#11	Evan Herndon United States	58.1%	78.3%	18-5-0	2	23
#12	Xincheng Hou Taiwan	57.1%	65.3%	32-17-0	7	49
#13	Worranun Suklim Thailand	56.9%	65.9%	29-15-0	4	44
#14	Kristian Čurla Croatia	56.8%	100.0%	9-0-0	1	9
#15	Rafael Miller Brazil	56.2%	70.8%	17-7-0	2	24
#16	Yuki Lee Bender Canada	55.8%	71.4%	15-6-0	2	21
#17	Lars Seebacher Switzerland	55.7%	61.4%	35-22-0	7	57
#18	Bryan Kong Singapore	55.7%	78.6%	11-3-0	1	14
#19	Bun Ar Hong Kong	55.7%	69.6%	16-7-0	3	23
#20	Christopher Iaali United States	55.5%	75.0%	12-4-0	2	16
#21	Rose smyth United States	55.4%	88.9%	8-1-0	1	9
#22	Allen Lau Hong Kong	55.3%	70.0%	14-6-0	2	20
#23	Thaminda Edirisooriya United States	55.1%	76.9%	10-3-0	1	13
#24	Pedro Lecey Opitz Brazil	55.1%	76.9%	10-3-0	1	13
#25	Simon Aguirre United States	54.6%	80.0%	8-2-0	1	10
#26	창건 곽 South Korea	54.6%	66.7%	14-7-0	3	21
#27	Pavlos Konstantinidis Belgium	54.6%	66.7%	14-7-0	3	21
#28	Mirko Dolce Italy	54.6%	66.7%	14-7-0	2	21
#29	Paweł Rozynek Poland	54.6%	62.5%	20-11-1	3	32
#30	Angel Fernandez Canada	54.6%	62.5%	20-12-0	3	32
#31	Juha-Matti Pihlajamäki Finland	54.4%	75.0%	9-3-0	1	12
#32	GDPR-DEL-07/12/24-11:23:05 GDPR-DEL-07/12/24-11:23:05	54.3%	64.0%	16-9-0	3	25
#33	Alex Chițu United Kingdom	54.0%	56.4%	53-41-0	13	94
#34	Nova Chan Hong Kong	53.9%	77.8%	7-2-0	1	9
#35	William Pistel United States	53.9%	77.8%	7-2-0	1	9
#36	Anton Cid Mejias United Kingdom	53.8%	57.1%	36-27-0	7	63
#37	Mirko Macchia Italy	53.8%	62.5%	15-9-0	3	24
#38	Albert GUYO France	53.8%	62.5%	15-9-0	2	24
#39	Pat Eshghy United States	53.7%	57.7%	30-22-0	7	52
#40	Marc Teunnissen Germany	53.7%	61.5%	16-10-0	3	26
#41	Andrea Migliavacca Italy	53.7%	61.5%	16-10-0	3	26
#42	Tristin Sedlacek United States	53.7%	69.2%	9-4-0	2	13
#43	Brandon Abarca United States	53.7%	69.2%	9-4-0	1	13
#44	Kazuya Murakami Japan	53.7%	69.2%	9-4-0	1	13
#45	Fabian Rex Germany	53.7%	69.2%	9-4-0	1	13
#46	Evan McTernan Ireland	53.6%	56.5%	39-30-0	8	69
#47	Ian Zhang Netherlands	53.6%	60.7%	17-11-0	4	28
#48	Edward Kimble United States	53.6%	60.7%	17-11-0	4	28
#49	CODY READY United States	53.6%	66.7%	10-5-0	2	15
#50	Lucas Aquino Brazil	53.6%	66.7%	10-5-0	2	15

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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 (50.3%), 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)