Dash
Dash has a 41.3% win rate across 578 tracked Silver Age matches (data through October 2026).
Board PresenceMidrange
Difficulty:
1.5
Silver Age
All statistics and data on this page are for Silver Age format
Silver Age Performance Summary
Data through October 2026
W
239
L
339
Players ranked by Bayesian smoothed win rate with Dash in All Time
Total Pilots
92
Time Period
All Time
Data Through
October 2026
Australia
Smoothed Win Rate
46.3%
Raw Win Rate
72.7%
Record
8-3-0
Events / Games
2 / 11
United States
Smoothed Win Rate
45.1%
Raw Win Rate
60.0%
Record
9-6-0
Events / Games
3 / 15
#3 Joshua Lau
United States
Smoothed Win Rate
44.9%
Raw Win Rate
51.6%
Record
16-15-0
Events / Games
4 / 31
#4 Grant Kern
United States
Smoothed Win Rate
44.7%
Raw Win Rate
66.7%
Record
6-3-0
Events / Games
1 / 9
Indonesia
Smoothed Win Rate
44.5%
Raw Win Rate
71.4%
Record
5-2-0
Events / Games
1 / 7
#6 Eugene C
Hong Kong
Smoothed Win Rate
44.2%
Raw Win Rate
52.4%
Record
11-10-0
Events / Games
3 / 21
#7 Alfian Poon
Singapore
Smoothed Win Rate
44.2%
Raw Win Rate
58.3%
Record
7-5-0
Events / Games
1 / 12
#8 yaqiong Ju
Singapore
Smoothed Win Rate
44.2%
Raw Win Rate
58.3%
Record
7-5-0
Events / Games
1 / 12
United States
Smoothed Win Rate
43.4%
Raw Win Rate
54.5%
Record
6-5-0
Events / Games
2 / 11
#10 Nathan Crawford
United States
Smoothed Win Rate
43.0%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#11 Cody Gebert
Australia
Smoothed Win Rate
43.0%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#12 Isaac Katsakis
Australia
Smoothed Win Rate
43.0%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
Indonesia
Smoothed Win Rate
43.0%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#14 Hongbo Zhao
China
Smoothed Win Rate
43.0%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#15 大和 宮脇
Japan
Smoothed Win Rate
43.0%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#16 Andy Pham
Australia
Smoothed Win Rate
42.6%
Raw Win Rate
47.1%
Record
8-9-0
Events / Games
3 / 17
#17 Danton Lima
Brazil
Smoothed Win Rate
42.6%
Raw Win Rate
50.0%
Record
5-5-0
Events / Games
2 / 10
Australia
Smoothed Win Rate
42.4%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
2 / 8
Spain
Smoothed Win Rate
42.4%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
#20 Mel Falcon
United States
Smoothed Win Rate
42.4%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
#21 Franz Sawertal
Germany
Smoothed Win Rate
42.4%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
#22 Zoe Daniels
United States
Smoothed Win Rate
42.3%
Raw Win Rate
100.0%
Record
1-0-0
Events / Games
1 / 1
#23 Jason Brannick
United States
Smoothed Win Rate
42.1%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
2 / 6
Belgium
Smoothed Win Rate
42.1%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#25 William Bucknall
Australia
Smoothed Win Rate
42.1%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
Italy
Smoothed Win Rate
42.1%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#27 Colin Marshall
United States
Smoothed Win Rate
42.0%
Raw Win Rate
45.5%
Record
5-6-0
Events / Games
2 / 11
Iceland
Smoothed Win Rate
42.0%
Raw Win Rate
45.5%
Record
5-6-0
Events / Games
1 / 11
#29 Enes Findik
Germany
Smoothed Win Rate
41.9%
Raw Win Rate
50.0%
Record
2-2-0
Events / Games
1 / 4
#30 Olli Saarinen
Finland
Smoothed Win Rate
41.9%
Raw Win Rate
50.0%
Record
2-2-0
Events / Games
1 / 4
#31 Luca Scherner
Germany
Smoothed Win Rate
41.9%
Raw Win Rate
50.0%
Record
2-2-0
Events / Games
1 / 4
#32 Kevin Fontan
United States
Smoothed Win Rate
41.8%
Raw Win Rate
44.4%
Record
4-5-0
Events / Games
2 / 9
#33 Kyle McKeough
United States
Smoothed Win Rate
41.8%
Raw Win Rate
44.4%
Record
4-5-0
Events / Games
1 / 9
#34 Philippe Thai
Canada
Smoothed Win Rate
41.6%
Raw Win Rate
50.0%
Record
1-1-0
Events / Games
1 / 2
#35 David Gubau Jové
Spain
Smoothed Win Rate
41.5%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
#36 Zackary Young
United States
Smoothed Win Rate
41.5%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
Indonesia
Smoothed Win Rate
41.5%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
#38 Tino Mille
Germany
Smoothed Win Rate
41.2%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
United States
Smoothed Win Rate
41.2%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#40 Daniel Baxendale
United Kingdom
Smoothed Win Rate
41.2%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#41 Zach Benton
United States
Smoothed Win Rate
41.2%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#42 Ethan Gill
United States
Smoothed Win Rate
41.2%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
Indonesia
Smoothed Win Rate
41.2%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#44 jiayang you
China
Smoothed Win Rate
41.2%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#45 Kairi Thompson
Australia
Smoothed Win Rate
41.2%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#46 Robert Szura
Poland
Smoothed Win Rate
41.0%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
#47 Remi Grasset
Australia
Smoothed Win Rate
41.0%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
#48 James Trayler
United Kingdom
Smoothed Win Rate
41.0%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
United States
Smoothed Win Rate
41.0%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
#50 Arianna Arias
United States
Smoothed Win Rate
40.9%
Raw Win Rate
37.5%
Record
3-5-0
Events / Games
1 / 8
| Rank | Player | Win Rate | Record | Games |
|---|---|---|---|---|
#1 | Australia | 46.3% | 8-3-0 | 11 |
#2 | United States | 45.1% | 9-6-0 | 15 |
#3 | United States | 44.9% | 16-15-0 | 31 |
#4 | United States | 44.7% | 6-3-0 | 9 |
#5 | Indonesia | 44.5% | 5-2-0 | 7 |
#6 | Hong Kong | 44.2% | 11-10-0 | 21 |
#7 | Singapore | 44.2% | 7-5-0 | 12 |
#8 | Singapore | 44.2% | 7-5-0 | 12 |
#9 | United States | 43.4% | 6-5-0 | 11 |
#10 | United States | 43.0% | 4-3-0 | 7 |
#11 | Australia | 43.0% | 4-3-0 | 7 |
#12 | Australia | 43.0% | 4-3-0 | 7 |
#13 | Indonesia | 43.0% | 4-3-0 | 7 |
#14 | China | 43.0% | 4-3-0 | 7 |
#15 | Japan | 43.0% | 4-3-0 | 7 |
#16 | Australia | 42.6% | 8-9-0 | 17 |
#17 | Brazil | 42.6% | 5-5-0 | 10 |
#18 | Australia | 42.4% | 4-4-0 | 8 |
#19 | 42.4% | 4-4-0 | 8 | |
#20 | United States | 42.4% | 4-4-0 | 8 |
#21 | Germany | 42.4% | 4-4-0 | 8 |
#22 | United States | 42.3% | 1-0-0 | 1 |
#23 | United States | 42.1% | 3-3-0 | 6 |
#24 | Belgium | 42.1% | 3-3-0 | 6 |
#25 | Australia | 42.1% | 3-3-0 | 6 |
#26 | Italy | 42.1% | 3-3-0 | 6 |
#27 | United States | 42.0% | 5-6-0 | 11 |
#28 | Iceland | 42.0% | 5-6-0 | 11 |
#29 | Germany | 41.9% | 2-2-0 | 4 |
#30 | Finland | 41.9% | 2-2-0 | 4 |
#31 | Germany | 41.9% | 2-2-0 | 4 |
#32 | United States | 41.8% | 4-5-0 | 9 |
#33 | United States | 41.8% | 4-5-0 | 9 |
#34 | Canada | 41.6% | 1-1-0 | 2 |
#35 | Spain | 41.5% | 3-4-0 | 7 |
#36 | United States | 41.5% | 3-4-0 | 7 |
#37 | Indonesia | 41.5% | 3-4-0 | 7 |
#38 | Germany | 41.2% | 2-3-0 | 5 |
#39 | United States | 41.2% | 2-3-0 | 5 |
#40 | United Kingdom | 41.2% | 2-3-0 | 5 |
#41 | United States | 41.2% | 2-3-0 | 5 |
#42 | United States | 41.2% | 2-3-0 | 5 |
#43 | Indonesia | 41.2% | 2-3-0 | 5 |
#44 | China | 41.2% | 2-3-0 | 5 |
#45 | Australia | 41.2% | 2-3-0 | 5 |
#46 | Poland | 41.0% | 1-2-0 | 3 |
#47 | Australia | 41.0% | 1-2-0 | 3 |
#48 | United Kingdom | 41.0% | 1-2-0 | 3 |
#49 | United States | 41.0% | 1-2-0 | 3 |
#50 | United States | 40.9% | 3-5-0 | 8 |
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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 (41.3%), 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)