Pleiades
SuperstarPleiades has a 45.6% win rate across 680 tracked Classic Constructed matches (data through August 2026).
Board PresenceDefensive
Difficulty:
3.0
Classic Constructed
Classic Constructed Performance Summary
Data through August 2026
W
295
L
352
D
33
Players ranked by Bayesian smoothed win rate with Pleiades in All Time
Total Pilots
68
Time Period
All Time
Data Through
August 2026
United States
Smoothed Win Rate
53.7%
Raw Win Rate
76.0%
Record
19-6-0
Events / Games
2 / 25
United States
Smoothed Win Rate
52.9%
Raw Win Rate
68.8%
Record
22-9-1
Events / Games
3 / 32
Australia
Smoothed Win Rate
51.4%
Raw Win Rate
71.4%
Record
15-5-1
Events / Games
2 / 21
#4 Emery Powell
United States
Smoothed Win Rate
50.7%
Raw Win Rate
66.7%
Record
16-8-0
Events / Games
2 / 24
Italy
Smoothed Win Rate
50.1%
Raw Win Rate
76.9%
Record
10-3-0
Events / Games
1 / 13
#6 Randy Davis
United States
Smoothed Win Rate
49.5%
Raw Win Rate
71.4%
Record
10-3-1
Events / Games
2 / 14
United Kingdom
Smoothed Win Rate
47.4%
Raw Win Rate
60.0%
Record
9-5-1
Events / Games
2 / 15
United Kingdom
Smoothed Win Rate
46.6%
Raw Win Rate
58.3%
Record
7-5-0
Events / Games
1 / 12
#9 Dagan White
United States
Smoothed Win Rate
46.6%
Raw Win Rate
58.3%
Record
7-5-0
Events / Games
1 / 12
#10 Vincent Lim
Australia
Smoothed Win Rate
46.4%
Raw Win Rate
52.4%
Record
11-10-0
Events / Games
3 / 21
#11 Lu Wei Soh
Singapore
Smoothed Win Rate
45.7%
Raw Win Rate
55.6%
Record
5-4-0
Events / Games
1 / 9
#12 Yahir Peñarrubia
Spain
Smoothed Win Rate
45.6%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#13 Vincent Luong
France
Smoothed Win Rate
45.6%
Raw Win Rate
57.1%
Record
4-2-1
Events / Games
1 / 7
#14 Andreas Türke
Germany
Smoothed Win Rate
45.6%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
Canada
Smoothed Win Rate
45.6%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#16 Nathan Youngblut
South Korea
Smoothed Win Rate
45.4%
Raw Win Rate
50.0%
Record
7-6-1
Events / Games
1 / 14
#17 Jurij Di Carlo
Denmark
Smoothed Win Rate
45.0%
Raw Win Rate
47.4%
Record
9-9-1
Events / Games
3 / 19
#18 Rene Specius
Germany
Smoothed Win Rate
44.9%
Raw Win Rate
50.0%
Record
4-2-2
Events / Games
1 / 8
#19 Cooper Templeton
United States
Smoothed Win Rate
44.8%
Raw Win Rate
50.0%
Record
3-2-1
Events / Games
1 / 6
#20 Kyle James
United States
Smoothed Win Rate
44.8%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#21 Thomas Kidd
United Kingdom
Smoothed Win Rate
44.6%
Raw Win Rate
50.0%
Record
2-2-0
Events / Games
1 / 4
#22 Michael Feng
United States
Smoothed Win Rate
44.1%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
#23 TSUNAKI SAWAI
Japan
Smoothed Win Rate
44.1%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
#24 suk kyo suh
South Korea
Smoothed Win Rate
44.1%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
#25 Adrien Druart
Belgium
Smoothed Win Rate
44.1%
Raw Win Rate
42.9%
Record
3-3-1
Events / Games
1 / 7
#26 Luca Muratori
Italy
Smoothed Win Rate
43.9%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#27 RICARDO DIAZ
Japan
Smoothed Win Rate
43.9%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#28 nicklas starland
United States
Smoothed Win Rate
43.9%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#29 Andrew Martinez
United States
Smoothed Win Rate
43.6%
Raw Win Rate
40.0%
Record
4-6-0
Events / Games
2 / 10
#30 Shirlyn Ting
Singapore
Smoothed Win Rate
43.5%
Raw Win Rate
0.0%
Record
0-1-0
Events / Games
1 / 1
#31 원률 신
Poland
Smoothed Win Rate
43.2%
Raw Win Rate
33.3%
Record
2-4-0
Events / Games
1 / 6
#32 Edward Pudim
United States
Smoothed Win Rate
43.2%
Raw Win Rate
33.3%
Record
2-4-0
Events / Games
1 / 6
United Kingdom
Smoothed Win Rate
43.2%
Raw Win Rate
33.3%
Record
2-3-1
Events / Games
1 / 6
#34 Steve Gilland
United States
Smoothed Win Rate
43.0%
Raw Win Rate
25.0%
Record
1-2-1
Events / Games
1 / 4
#35 Takenori Arakawa
Japan
Smoothed Win Rate
43.0%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
United Kingdom
Smoothed Win Rate
43.0%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#37 Patrick Sharpe
Australia
Smoothed Win Rate
43.0%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#38 Kazuki Itabashi
Japan
Smoothed Win Rate
43.0%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#39 Anthony Hlaing
Japan
Smoothed Win Rate
43.0%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
United States
Smoothed Win Rate
43.0%
Raw Win Rate
25.0%
Record
1-2-1
Events / Games
1 / 4
#41 Aidan Ayers
United States
Smoothed Win Rate
43.0%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#42 Morelli Junior
Brazil
Smoothed Win Rate
43.0%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#43 匠哉 小島
Japan
Smoothed Win Rate
42.8%
Raw Win Rate
40.0%
Record
12-17-1
Events / Games
4 / 30
#44 Leon Schmidtke
Germany
Smoothed Win Rate
42.8%
Raw Win Rate
33.3%
Record
3-6-0
Events / Games
1 / 9
#45 Alex Pagnani
United States
Smoothed Win Rate
42.8%
Raw Win Rate
0.0%
Record
0-2-0
Events / Games
1 / 2
#46 Akihiro Takano
Japan
Smoothed Win Rate
42.6%
Raw Win Rate
28.6%
Record
2-5-0
Events / Games
1 / 7
#47 atsushi tsuchiya
Japan
Smoothed Win Rate
42.6%
Raw Win Rate
28.6%
Record
2-5-0
Events / Games
1 / 7
#48 Andy Baudoin
France
Smoothed Win Rate
42.6%
Raw Win Rate
28.6%
Record
2-5-0
Events / Games
1 / 7
United States
Smoothed Win Rate
42.6%
Raw Win Rate
28.6%
Record
2-4-1
Events / Games
1 / 7
United States
Smoothed Win Rate
42.6%
Raw Win Rate
28.6%
Record
2-5-0
Events / Games
1 / 7
| Rank | Player | Win Rate | Record | Games |
|---|---|---|---|---|
#1 | United States | 53.7% | 19-6-0 | 25 |
#2 | United States | 52.9% | 22-9-1 | 32 |
#3 | Australia | 51.4% | 15-5-1 | 21 |
#4 | United States | 50.7% | 16-8-0 | 24 |
#5 | Italy | 50.1% | 10-3-0 | 13 |
#6 | United States | 49.5% | 10-3-1 | 14 |
#7 | United Kingdom | 47.4% | 9-5-1 | 15 |
#8 | United Kingdom | 46.6% | 7-5-0 | 12 |
#9 | United States | 46.6% | 7-5-0 | 12 |
#10 | Australia | 46.4% | 11-10-0 | 21 |
#11 | Singapore | 45.7% | 5-4-0 | 9 |
#12 | Spain | 45.6% | 4-3-0 | 7 |
#13 | France | 45.6% | 4-2-1 | 7 |
#14 | Germany | 45.6% | 4-3-0 | 7 |
#15 | Canada | 45.6% | 4-3-0 | 7 |
#16 | South Korea | 45.4% | 7-6-1 | 14 |
#17 | Denmark | 45.0% | 9-9-1 | 19 |
#18 | Germany | 44.9% | 4-2-2 | 8 |
#19 | United States | 44.8% | 3-2-1 | 6 |
#20 | United States | 44.8% | 3-3-0 | 6 |
#21 | United Kingdom | 44.6% | 2-2-0 | 4 |
#22 | United States | 44.1% | 3-4-0 | 7 |
#23 | Japan | 44.1% | 3-4-0 | 7 |
#24 | South Korea | 44.1% | 3-4-0 | 7 |
#25 | Belgium | 44.1% | 3-3-1 | 7 |
#26 | Italy | 43.9% | 2-3-0 | 5 |
#27 | Japan | 43.9% | 2-3-0 | 5 |
#28 | United States | 43.9% | 2-3-0 | 5 |
#29 | United States | 43.6% | 4-6-0 | 10 |
#30 | Singapore | 43.5% | 0-1-0 | 1 |
#31 | Poland | 43.2% | 2-4-0 | 6 |
#32 | United States | 43.2% | 2-4-0 | 6 |
#33 | United Kingdom | 43.2% | 2-3-1 | 6 |
#34 | United States | 43.0% | 1-2-1 | 4 |
#35 | Japan | 43.0% | 1-3-0 | 4 |
#36 | United Kingdom | 43.0% | 1-3-0 | 4 |
#37 | Australia | 43.0% | 1-3-0 | 4 |
#38 | Japan | 43.0% | 1-3-0 | 4 |
#39 | Japan | 43.0% | 1-3-0 | 4 |
#40 | United States | 43.0% | 1-2-1 | 4 |
#41 | United States | 43.0% | 1-3-0 | 4 |
#42 | Brazil | 43.0% | 1-3-0 | 4 |
#43 | Japan | 42.8% | 12-17-1 | 30 |
#44 | Germany | 42.8% | 3-6-0 | 9 |
#45 | United States | 42.8% | 0-2-0 | 2 |
#46 | Japan | 42.6% | 2-5-0 | 7 |
#47 | Japan | 42.6% | 2-5-0 | 7 |
#48 | France | 42.6% | 2-5-0 | 7 |
#49 | United States | 42.6% | 2-4-1 | 7 |
#50 | United States | 42.6% | 2-5-0 | 7 |
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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 (44.2%), 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)