Dash

Inventor Extraordinaire

Board PresenceMidrange

Difficulty:

1.5

Classic Constructed Living Legend Jul 11, 2025

Classic Constructed Performance Summary

Overall Win Rate

49.5%

Total Matches

3320

Record

1624

1660

Tournaments

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

319

Time Period

All Time

Last Updated

Jul 21, 2026 at 10:04 PM

#1 Sam Sutherland

Australia

Smoothed Win Rate

61.6%

Raw Win Rate

71.2%

Record

52-21-0

Events / Games

8 / 73

#2 Alex Chițu

United Kingdom

Smoothed Win Rate

57.7%

Raw Win Rate

71.4%

Record

25-10-0

Events / Games

4 / 35

#3 Grzegorz Kowalski

Poland

Smoothed Win Rate

57.1%

Raw Win Rate

66.0%

Record

33-17-0

Events / Games

6 / 50

#4 Johannes Schorpp

Germany

Smoothed Win Rate

57.0%

Raw Win Rate

66.7%

Record

30-14-1

Events / Games

4 / 45

#5 Bun Ar

Hong Kong

Smoothed Win Rate

55.8%

Raw Win Rate

72.7%

Record

16-6-0

Events / Games

3 / 22

#6 Merrick Kemp

United States

Smoothed Win Rate

55.4%

Raw Win Rate

64.9%

Record

24-13-0

Events / Games

4 / 37

#7 Easton Douglas

United States

Smoothed Win Rate

55.4%

Raw Win Rate

90.0%

Record

9-1-0

Events / Games

1 / 10

#8 Jakob Allan

Canada

Smoothed Win Rate

55.3%

Raw Win Rate

71.4%

Record

15-6-0

Events / Games

2 / 21

#9 Rose smyth

United States

Smoothed Win Rate

55.1%

Raw Win Rate

69.6%

Record

16-7-0

Events / Games

3 / 23

#10 Jacob Pacheco

United States

Smoothed Win Rate

54.5%

Raw Win Rate

66.7%

Record

16-8-0

Events / Games

3 / 24

#11 Linus Albat

Germany

Smoothed Win Rate

54.4%

Raw Win Rate

76.9%

Record

10-3-0

Events / Games

1 / 13

#12 Allen Lau

Hong Kong

Smoothed Win Rate

54.1%

Raw Win Rate

68.4%

Record

13-6-0

Events / Games

3 / 19

#13 Alexandre Castanheira

Brazil

Smoothed Win Rate

54.0%

Raw Win Rate

87.5%

Record

7-1-0

Events / Games

1 / 8

#14 Lorenzo Brambilla Pisoni

Italy

Smoothed Win Rate

53.9%

Raw Win Rate

80.0%

Record

8-2-0

Events / Games

1 / 10

#15 Anton Cid Mejias

United Kingdom

Smoothed Win Rate

53.8%

Raw Win Rate

75.0%

Record

9-3-0

Events / Games

1 / 12

#16 Justin Cu

Philippines

Smoothed Win Rate

53.7%

Raw Win Rate

71.4%

Record

10-3-1

Events / Games

1 / 14

#17 Ruben Van Dessel

Belgium

Smoothed Win Rate

53.5%

Raw Win Rate

60.6%

Record

20-13-0

Events / Games

4 / 33

#18 Kaiser Tan

Singapore

Smoothed Win Rate

53.2%

Raw Win Rate

58.5%

Record

24-17-0

Events / Games

5 / 41

#19 Matthew W

United States

Smoothed Win Rate

53.2%

Raw Win Rate

61.5%

Record

16-10-0

Events / Games

3 / 26

#20 Matthew Ericsson Marquez

Philippines

Smoothed Win Rate

53.1%

Raw Win Rate

72.7%

Record

8-3-0

Events / Games

1 / 11

#21 Kelvin Tan

Singapore

Smoothed Win Rate

53.1%

Raw Win Rate

72.7%

Record

8-3-0

Events / Games

1 / 11

#22 Aaron Cutbirth

United States

Smoothed Win Rate

53.0%

Raw Win Rate

69.2%

Record

9-4-0

Events / Games

1 / 13

#23 Matt Rogers

New Zealand

Smoothed Win Rate

52.8%

Raw Win Rate

63.2%

Record

12-7-0

Events / Games

2 / 19

#24 Wojtek Klimczyk

Poland

Smoothed Win Rate

52.7%

Raw Win Rate

61.9%

Record

13-8-0

Events / Games

3 / 21

#25 Benjamin Cumming

United States

Smoothed Win Rate

52.6%

Raw Win Rate

60.0%

Record

15-10-0

Events / Games

3 / 25

#26 David Trinh

Canada

Smoothed Win Rate

52.6%

Raw Win Rate

60.0%

Record

15-10-0

Events / Games

3 / 25

#27 Jean Luka Zorko

Slovenia

Smoothed Win Rate

52.5%

Raw Win Rate

59.3%

Record

16-11-0

Events / Games

3 / 27

#28 Chris Borecky

Canada

Smoothed Win Rate

52.5%

Raw Win Rate

75.0%

Record

6-2-0

Events / Games

1 / 8

#29 Matthew Duggan

United Kingdom

Smoothed Win Rate

52.5%

Raw Win Rate

75.0%

Record

6-2-0

Events / Games

1 / 8

#30 Carlos Carrero

Spain

Smoothed Win Rate

52.5%

Raw Win Rate

75.0%

Record

6-2-0

Events / Games

1 / 8

#31 Mateusz Sass

Poland

Smoothed Win Rate

52.5%

Raw Win Rate

75.0%

Record

6-2-0

Events / Games

1 / 8

#32 Lucas Miranda

Brazil

Smoothed Win Rate

52.5%

Raw Win Rate

75.0%

Record

6-2-0

Events / Games

1 / 8

#33 Elly Bird

United States

Smoothed Win Rate

52.4%

Raw Win Rate

66.7%

Record

8-4-0

Events / Games

1 / 12

#34 Alex Crowther

Australia

Smoothed Win Rate

52.4%

Raw Win Rate

66.7%

Record

8-4-0

Events / Games

1 / 12

#35 Ming chuen Bay

Singapore

Smoothed Win Rate

52.4%

Raw Win Rate

66.7%

Record

8-3-1

Events / Games

1 / 12

#36 Faustin Falissard

France

Smoothed Win Rate

52.2%

Raw Win Rate

62.5%

Record

10-6-0

Events / Games

2 / 16

#37 Matthew McInnis

United States

Smoothed Win Rate

52.2%

Raw Win Rate

62.5%

Record

10-6-0

Events / Games

2 / 16

#38 Chanon Puttaree

Thailand

Smoothed Win Rate

52.2%

Raw Win Rate

61.1%

Record

11-7-0

Events / Games

2 / 18

#39 Grant Kern

United States

Smoothed Win Rate

52.1%

Raw Win Rate

60.0%

Record

12-8-0

Events / Games

2 / 20

#40 Joaquim Ballot

France

Smoothed Win Rate

52.1%

Raw Win Rate

59.1%

Record

13-9-0

Events / Games

3 / 22

#41 Bryan Kong

Singapore

Smoothed Win Rate

51.9%

Raw Win Rate

56.7%

Record

17-13-0

Events / Games

5 / 30

#42 Matthew Dilks

Canada

Smoothed Win Rate

51.8%

Raw Win Rate

71.4%

Record

5-2-0

Events / Games

1 / 7

#43 Andrea Tosi

Italy

Smoothed Win Rate

51.8%

Raw Win Rate

71.4%

Record

5-2-0

Events / Games

1 / 7

#44 Davis Purcell

United States

Smoothed Win Rate

51.7%

Raw Win Rate

66.7%

Record

6-3-0

Events / Games

1 / 9

#45 Josep Giné

Spain

Smoothed Win Rate

51.7%

Raw Win Rate

63.6%

Record

7-4-0

Events / Games

2 / 11

#46 Xincheng Hou

Taiwan

Smoothed Win Rate

51.7%

Raw Win Rate

63.6%

Record

7-4-0

Events / Games

2 / 11

#47 Laurin Niehues

Germany

Smoothed Win Rate

51.6%

Raw Win Rate

61.5%

Record

8-5-0

Events / Games

1 / 13

#48 Jeff Thompson

United States

Smoothed Win Rate

51.6%

Raw Win Rate

61.5%

Record

8-5-0

Events / Games

1 / 13

#49 Kit Valentine

United Kingdom

Smoothed Win Rate

51.6%

Raw Win Rate

60.0%

Record

9-6-0

Events / Games

2 / 15

#50 Grzegorz Pijas

Poland

Smoothed Win Rate

51.6%

Raw Win Rate

60.0%

Record

9-6-0

Events / Games

2 / 15

Rank	Player	Win Rate	Raw %	Record	Events	Games
#1	Sam Sutherland Australia	61.6%	71.2%	52-21-0	8	73
#2	Alex Chițu United Kingdom	57.7%	71.4%	25-10-0	4	35
#3	Grzegorz Kowalski Poland	57.1%	66.0%	33-17-0	6	50
#4	Johannes Schorpp Germany	57.0%	66.7%	30-14-1	4	45
#5	Bun Ar Hong Kong	55.8%	72.7%	16-6-0	3	22
#6	Merrick Kemp United States	55.4%	64.9%	24-13-0	4	37
#7	Easton Douglas United States	55.4%	90.0%	9-1-0	1	10
#8	Jakob Allan Canada	55.3%	71.4%	15-6-0	2	21
#9	Rose smyth United States	55.1%	69.6%	16-7-0	3	23
#10	Jacob Pacheco United States	54.5%	66.7%	16-8-0	3	24
#11	Linus Albat Germany	54.4%	76.9%	10-3-0	1	13
#12	Allen Lau Hong Kong	54.1%	68.4%	13-6-0	3	19
#13	Alexandre Castanheira Brazil	54.0%	87.5%	7-1-0	1	8
#14	Lorenzo Brambilla Pisoni Italy	53.9%	80.0%	8-2-0	1	10
#15	Anton Cid Mejias United Kingdom	53.8%	75.0%	9-3-0	1	12
#16	Justin Cu Philippines	53.7%	71.4%	10-3-1	1	14
#17	Ruben Van Dessel Belgium	53.5%	60.6%	20-13-0	4	33
#18	Kaiser Tan Singapore	53.2%	58.5%	24-17-0	5	41
#19	Matthew W United States	53.2%	61.5%	16-10-0	3	26
#20	Matthew Ericsson Marquez Philippines	53.1%	72.7%	8-3-0	1	11
#21	Kelvin Tan Singapore	53.1%	72.7%	8-3-0	1	11
#22	Aaron Cutbirth United States	53.0%	69.2%	9-4-0	1	13
#23	Matt Rogers New Zealand	52.8%	63.2%	12-7-0	2	19
#24	Wojtek Klimczyk Poland	52.7%	61.9%	13-8-0	3	21
#25	Benjamin Cumming United States	52.6%	60.0%	15-10-0	3	25
#26	David Trinh Canada	52.6%	60.0%	15-10-0	3	25
#27	Jean Luka Zorko Slovenia	52.5%	59.3%	16-11-0	3	27
#28	Chris Borecky Canada	52.5%	75.0%	6-2-0	1	8
#29	Matthew Duggan United Kingdom	52.5%	75.0%	6-2-0	1	8
#30	Carlos Carrero Spain	52.5%	75.0%	6-2-0	1	8
#31	Mateusz Sass Poland	52.5%	75.0%	6-2-0	1	8
#32	Lucas Miranda Brazil	52.5%	75.0%	6-2-0	1	8
#33	Elly Bird United States	52.4%	66.7%	8-4-0	1	12
#34	Alex Crowther Australia	52.4%	66.7%	8-4-0	1	12
#35	Ming chuen Bay Singapore	52.4%	66.7%	8-3-1	1	12
#36	Faustin Falissard France	52.2%	62.5%	10-6-0	2	16
#37	Matthew McInnis United States	52.2%	62.5%	10-6-0	2	16
#38	Chanon Puttaree Thailand	52.2%	61.1%	11-7-0	2	18
#39	Grant Kern United States	52.1%	60.0%	12-8-0	2	20
#40	Joaquim Ballot France	52.1%	59.1%	13-9-0	3	22
#41	Bryan Kong Singapore	51.9%	56.7%	17-13-0	5	30
#42	Matthew Dilks Canada	51.8%	71.4%	5-2-0	1	7
#43	Andrea Tosi Italy	51.8%	71.4%	5-2-0	1	7
#44	Davis Purcell United States	51.7%	66.7%	6-3-0	1	9
#45	Josep Giné Spain	51.7%	63.6%	7-4-0	2	11
#46	Xincheng Hou Taiwan	51.7%	63.6%	7-4-0	2	11
#47	Laurin Niehues Germany	51.6%	61.5%	8-5-0	1	13
#48	Jeff Thompson United States	51.6%	61.5%	8-5-0	1	13
#49	Kit Valentine United Kingdom	51.6%	60.0%	9-6-0	2	15
#50	Grzegorz Pijas Poland	51.6%	60.0%	9-6-0	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 (49.4%), 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)