Viserai
the ForsakenViserai has a 35.3% win rate across 168 tracked Classic Constructed matches (data through October 2026).
AggressiveDisruptive
Difficulty:
4.0
Classic Constructed
Classic Constructed Performance Summary
Data through October 2026
W
59
L
108
D
1
Players ranked by Bayesian smoothed win rate with Viserai in All Time
Total Pilots
33
Time Period
All Time
Data Through
October 2026
Canada
Smoothed Win Rate
39.9%
Raw Win Rate
61.5%
Record
8-5-0
Events / Games
1 / 13
Japan
Smoothed Win Rate
37.6%
Raw Win Rate
50.0%
Record
6-6-0
Events / Games
1 / 12
Japan
Smoothed Win Rate
37.5%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#4 和佳 倉田
Japan
Smoothed Win Rate
37.5%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#5 Ander Cepeda
Mexico
Smoothed Win Rate
37.5%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
Japan
Smoothed Win Rate
37.3%
Raw Win Rate
50.0%
Record
5-4-1
Events / Games
1 / 10
United States
Smoothed Win Rate
36.9%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
United States
Smoothed Win Rate
36.5%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
United States
Smoothed Win Rate
36.5%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#10 Eric Towne
United States
Smoothed Win Rate
35.9%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
#11 BRENT ANDERSON
United States
Smoothed Win Rate
35.4%
Raw Win Rate
37.5%
Record
3-5-0
Events / Games
1 / 8
#12 Kevin Brayer
United States
Smoothed Win Rate
35.0%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
#13 Devin Rataiczak
United States
Smoothed Win Rate
35.0%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
#14 将貴 山田
Japan
Smoothed Win Rate
35.0%
Raw Win Rate
33.3%
Record
2-4-0
Events / Games
1 / 6
#15 Nik Dinnis
United States
Smoothed Win Rate
34.5%
Raw Win Rate
0.0%
Record
0-1-0
Events / Games
1 / 1
#16 Timothy Wells
United States
Smoothed Win Rate
34.5%
Raw Win Rate
0.0%
Record
0-1-0
Events / Games
1 / 1
#17 子謙 張
Taiwan
Smoothed Win Rate
34.5%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#18 Spencer Fritts
United States
Smoothed Win Rate
34.5%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#19 Alastor Guzman
Mexico
Smoothed Win Rate
34.5%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#20 kumagai takuya
Japan
Smoothed Win Rate
34.5%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#21 暁 柴野
Japan
Smoothed Win Rate
34.4%
Raw Win Rate
28.6%
Record
2-5-0
Events / Games
1 / 7
#22 Dallin Wallenda
United States
Smoothed Win Rate
34.0%
Raw Win Rate
0.0%
Record
0-2-0
Events / Games
1 / 2
#23 Jamie Grantham
United States
Smoothed Win Rate
34.0%
Raw Win Rate
0.0%
Record
0-2-0
Events / Games
1 / 2
#24 Dakota Rewoldt
United States
Smoothed Win Rate
34.0%
Raw Win Rate
0.0%
Record
0-2-0
Events / Games
1 / 2
#25 Youngil Kim
South Korea
Smoothed Win Rate
33.9%
Raw Win Rate
20.0%
Record
1-4-0
Events / Games
1 / 5
#26 Geoff Walter
United States
Smoothed Win Rate
33.4%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#27 Aymen Kabel
United States
Smoothed Win Rate
33.4%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#28 Koichiro Sato
Japan
Smoothed Win Rate
33.4%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#29 Jacob Williams
United States
Smoothed Win Rate
33.4%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#30 Jose Betancourt
United States
Smoothed Win Rate
33.4%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#31 Brandon Lenshyn
United States
Smoothed Win Rate
33.4%
Raw Win Rate
16.7%
Record
1-5-0
Events / Games
1 / 6
#32 Kaileb Shipman
United States
Smoothed Win Rate
32.9%
Raw Win Rate
0.0%
Record
0-4-0
Events / Games
1 / 4
#33 Stephen Miller
Japan
Smoothed Win Rate
32.9%
Raw Win Rate
0.0%
Record
0-4-0
Events / Games
1 / 4
| Rank | Player | Win Rate | Record | Games |
|---|---|---|---|---|
#1 | Canada | 39.9% | 8-5-0 | 13 |
#2 | Japan | 37.6% | 6-6-0 | 12 |
#3 | Japan | 37.5% | 4-3-0 | 7 |
#4 | Japan | 37.5% | 4-3-0 | 7 |
#5 | Mexico | 37.5% | 4-3-0 | 7 |
#6 | Japan | 37.3% | 5-4-1 | 10 |
#7 | United States | 36.9% | 4-4-0 | 8 |
#8 | United States | 36.5% | 3-3-0 | 6 |
#9 | United States | 36.5% | 3-3-0 | 6 |
#10 | United States | 35.9% | 3-4-0 | 7 |
#11 | United States | 35.4% | 3-5-0 | 8 |
#12 | United States | 35.0% | 1-2-0 | 3 |
#13 | United States | 35.0% | 1-2-0 | 3 |
#14 | Japan | 35.0% | 2-4-0 | 6 |
#15 | United States | 34.5% | 0-1-0 | 1 |
#16 | United States | 34.5% | 0-1-0 | 1 |
#17 | Taiwan | 34.5% | 1-3-0 | 4 |
#18 | United States | 34.5% | 1-3-0 | 4 |
#19 | Mexico | 34.5% | 1-3-0 | 4 |
#20 | Japan | 34.5% | 1-3-0 | 4 |
#21 | Japan | 34.4% | 2-5-0 | 7 |
#22 | United States | 34.0% | 0-2-0 | 2 |
#23 | United States | 34.0% | 0-2-0 | 2 |
#24 | United States | 34.0% | 0-2-0 | 2 |
#25 | South Korea | 33.9% | 1-4-0 | 5 |
#26 | United States | 33.4% | 0-3-0 | 3 |
#27 | United States | 33.4% | 0-3-0 | 3 |
#28 | Japan | 33.4% | 0-3-0 | 3 |
#29 | United States | 33.4% | 0-3-0 | 3 |
#30 | United States | 33.4% | 0-3-0 | 3 |
#31 | United States | 33.4% | 1-5-0 | 6 |
#32 | United States | 32.9% | 0-4-0 | 4 |
#33 | Japan | 32.9% | 0-4-0 | 4 |
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 (35.1%), 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)