Classic Constructed Performance Summary
W
3483
L
2714
D
48
Players ranked by Bayesian smoothed win rate with Lexi in All Time
Total Pilots
573
Time Period
All Time
Last Updated
Jul 22, 2026 at 9:46 PM
Canada
Smoothed Win Rate
65.6%
Raw Win Rate
78.3%
Record
36-10-0
Events / Games
4 / 46
United States
Smoothed Win Rate
64.0%
Raw Win Rate
72.4%
Record
42-15-1
Events / Games
5 / 58
#3 Michael Feng
United States
Smoothed Win Rate
63.6%
Raw Win Rate
72.5%
Record
37-13-1
Events / Games
4 / 51
#4 Allen Lau
Hong Kong
Smoothed Win Rate
62.2%
Raw Win Rate
76.9%
Record
20-6-0
Events / Games
2 / 26
#5 Matthew W
United States
Smoothed Win Rate
62.1%
Raw Win Rate
74.2%
Record
23-8-0
Events / Games
3 / 31
United States
Smoothed Win Rate
62.1%
Raw Win Rate
74.2%
Record
23-8-0
Events / Games
3 / 31
#7 Paul Mirande
France
Smoothed Win Rate
61.9%
Raw Win Rate
80.0%
Record
16-4-0
Events / Games
2 / 20
#8 Peter Ward
United Kingdom
Smoothed Win Rate
61.9%
Raw Win Rate
80.0%
Record
16-3-1
Events / Games
2 / 20
United States
Smoothed Win Rate
61.6%
Raw Win Rate
77.3%
Record
17-5-0
Events / Games
2 / 22
#10 Michael Jaszczur
Canada
Smoothed Win Rate
61.0%
Raw Win Rate
73.1%
Record
19-7-0
Events / Games
2 / 26
Greece
Smoothed Win Rate
60.7%
Raw Win Rate
80.0%
Record
12-3-0
Events / Games
1 / 15
#12 Michael Hamilton
United States
Smoothed Win Rate
60.6%
Raw Win Rate
75.0%
Record
15-5-0
Events / Games
2 / 20
#13 Tee Thebeau
United States
Smoothed Win Rate
60.4%
Raw Win Rate
76.5%
Record
13-4-0
Events / Games
2 / 17
#14 Pei-Tung Liao
Taiwan
Smoothed Win Rate
60.3%
Raw Win Rate
72.7%
Record
16-6-0
Events / Games
2 / 22
#15 Derek Anderson
United States
Smoothed Win Rate
60.3%
Raw Win Rate
72.7%
Record
16-6-0
Events / Games
2 / 22
#16 Eli Teed
Canada
Smoothed Win Rate
60.3%
Raw Win Rate
70.4%
Record
19-8-0
Events / Games
2 / 27
#17 Matt MacLeod
United States
Smoothed Win Rate
59.9%
Raw Win Rate
69.2%
Record
18-8-0
Events / Games
2 / 26
#18 Nova Chan
Hong Kong
Smoothed Win Rate
59.5%
Raw Win Rate
76.9%
Record
10-3-0
Events / Games
1 / 13
Canada
Smoothed Win Rate
59.5%
Raw Win Rate
76.9%
Record
10-3-0
Events / Games
1 / 13
#20 Raj Parikh
United States
Smoothed Win Rate
59.5%
Raw Win Rate
76.9%
Record
10-3-0
Events / Games
1 / 13
#21 Alex Knott
Canada
Smoothed Win Rate
59.5%
Raw Win Rate
76.9%
Record
10-3-0
Events / Games
1 / 13
#22 Edward Knight
United States
Smoothed Win Rate
59.5%
Raw Win Rate
76.9%
Record
10-3-0
Events / Games
1 / 13
#23 Matthew McInnis
United States
Smoothed Win Rate
59.5%
Raw Win Rate
64.0%
Record
32-18-0
Events / Games
6 / 50
#24 Austin Revera
United States
Smoothed Win Rate
59.5%
Raw Win Rate
87.5%
Record
7-1-0
Events / Games
1 / 8
#25 Zayne Johnson
United States
Smoothed Win Rate
59.5%
Raw Win Rate
87.5%
Record
7-1-0
Events / Games
1 / 8
#26 Glenn Van Roey
Belgium
Smoothed Win Rate
59.4%
Raw Win Rate
68.0%
Record
17-8-0
Events / Games
2 / 25
Smoothed Win Rate
59.2%
Raw Win Rate
65.6%
Record
21-11-0
Events / Games
3 / 32
#28 Daniel Rutkowski
United States
Smoothed Win Rate
59.0%
Raw Win Rate
70.6%
Record
12-5-0
Events / Games
2 / 17
#29 DYLAN MANGINI
United States
Smoothed Win Rate
59.0%
Raw Win Rate
70.6%
Record
12-5-0
Events / Games
2 / 17
#30 Alexander Benton
United States
Smoothed Win Rate
59.0%
Raw Win Rate
70.6%
Record
12-5-0
Events / Games
2 / 17
#31 Ernesto Silva
Portugal
Smoothed Win Rate
59.0%
Raw Win Rate
75.0%
Record
9-3-0
Events / Games
1 / 12
#32 Steven Chen
Taiwan
Smoothed Win Rate
59.0%
Raw Win Rate
75.0%
Record
9-3-0
Events / Games
1 / 12
#33 Pudding Tam
Hong Kong
Smoothed Win Rate
59.0%
Raw Win Rate
75.0%
Record
9-3-0
Events / Games
1 / 12
#34 Thomas Li
Hong Kong
Smoothed Win Rate
59.0%
Raw Win Rate
75.0%
Record
9-3-0
Events / Games
1 / 12
#35 Andrew Lorenz
United States
Smoothed Win Rate
59.0%
Raw Win Rate
75.0%
Record
9-3-0
Events / Games
1 / 12
#36 Tsz Lung Wu
Hong Kong
Smoothed Win Rate
59.0%
Raw Win Rate
75.0%
Record
9-3-0
Events / Games
1 / 12
#37 Peter Katsakis
Australia
Smoothed Win Rate
59.0%
Raw Win Rate
75.0%
Record
9-3-0
Events / Games
1 / 12
#38 Fee Sen Sei
Singapore
Smoothed Win Rate
58.9%
Raw Win Rate
66.7%
Record
16-8-0
Events / Games
2 / 24
#39 Isaak Krut
Canada
Smoothed Win Rate
58.7%
Raw Win Rate
64.5%
Record
20-11-0
Events / Games
3 / 31
#40 Gabe Sher
Netherlands
Smoothed Win Rate
58.7%
Raw Win Rate
62.8%
Record
27-16-0
Events / Games
4 / 43
#41 Lee Kimball
United States
Smoothed Win Rate
58.6%
Raw Win Rate
66.7%
Record
14-7-0
Events / Games
2 / 21
#42 Tariq Patel
Canada
Smoothed Win Rate
58.5%
Raw Win Rate
63.6%
Record
21-12-0
Events / Games
3 / 33
#43 Matthew Dilks
Canada
Smoothed Win Rate
58.2%
Raw Win Rate
64.0%
Record
16-9-0
Events / Games
2 / 25
Smoothed Win Rate
58.2%
Raw Win Rate
64.0%
Record
16-9-0
Events / Games
2 / 25
#45 José Guimarães
Portugal
Smoothed Win Rate
58.1%
Raw Win Rate
69.2%
Record
9-4-0
Events / Games
1 / 13
#46 Natan Tomeo
Italy
Smoothed Win Rate
58.1%
Raw Win Rate
69.2%
Record
9-3-1
Events / Games
1 / 13
#47 Jimmy Nguyen
Netherlands
Smoothed Win Rate
58.1%
Raw Win Rate
69.2%
Record
9-4-0
Events / Games
1 / 13
United States
Smoothed Win Rate
58.1%
Raw Win Rate
69.2%
Record
9-4-0
Events / Games
1 / 13
#49 Mercy Bickell
United States
Smoothed Win Rate
58.1%
Raw Win Rate
69.2%
Record
9-4-0
Events / Games
1 / 13
#50 Andrew Goodwin
United States
Smoothed Win Rate
58.1%
Raw Win Rate
69.2%
Record
9-4-0
Events / Games
1 / 13
| Rank | Player | Win Rate | Record | Games |
|---|---|---|---|---|
#1 | Canada | 65.6% | 36-10-0 | 46 |
#2 | United States | 64.0% | 42-15-1 | 58 |
#3 | United States | 63.6% | 37-13-1 | 51 |
#4 | Hong Kong | 62.2% | 20-6-0 | 26 |
#5 | United States | 62.1% | 23-8-0 | 31 |
#6 | United States | 62.1% | 23-8-0 | 31 |
#7 | France | 61.9% | 16-4-0 | 20 |
#8 | United Kingdom | 61.9% | 16-3-1 | 20 |
#9 | United States | 61.6% | 17-5-0 | 22 |
#10 | Canada | 61.0% | 19-7-0 | 26 |
#11 | Greece | 60.7% | 12-3-0 | 15 |
#12 | United States | 60.6% | 15-5-0 | 20 |
#13 | United States | 60.4% | 13-4-0 | 17 |
#14 | Taiwan | 60.3% | 16-6-0 | 22 |
#15 | United States | 60.3% | 16-6-0 | 22 |
#16 | Canada | 60.3% | 19-8-0 | 27 |
#17 | United States | 59.9% | 18-8-0 | 26 |
#18 | Hong Kong | 59.5% | 10-3-0 | 13 |
#19 | Canada | 59.5% | 10-3-0 | 13 |
#20 | United States | 59.5% | 10-3-0 | 13 |
#21 | Canada | 59.5% | 10-3-0 | 13 |
#22 | United States | 59.5% | 10-3-0 | 13 |
#23 | United States | 59.5% | 32-18-0 | 50 |
#24 | United States | 59.5% | 7-1-0 | 8 |
#25 | United States | 59.5% | 7-1-0 | 8 |
#26 | Belgium | 59.4% | 17-8-0 | 25 |
#27 | 59.2% | 21-11-0 | 32 | |
#28 | United States | 59.0% | 12-5-0 | 17 |
#29 | United States | 59.0% | 12-5-0 | 17 |
#30 | United States | 59.0% | 12-5-0 | 17 |
#31 | Portugal | 59.0% | 9-3-0 | 12 |
#32 | Taiwan | 59.0% | 9-3-0 | 12 |
#33 | Hong Kong | 59.0% | 9-3-0 | 12 |
#34 | Hong Kong | 59.0% | 9-3-0 | 12 |
#35 | United States | 59.0% | 9-3-0 | 12 |
#36 | Hong Kong | 59.0% | 9-3-0 | 12 |
#37 | Australia | 59.0% | 9-3-0 | 12 |
#38 | Singapore | 58.9% | 16-8-0 | 24 |
#39 | Canada | 58.7% | 20-11-0 | 31 |
#40 | Netherlands | 58.7% | 27-16-0 | 43 |
#41 | United States | 58.6% | 14-7-0 | 21 |
#42 | Canada | 58.5% | 21-12-0 | 33 |
#43 | Canada | 58.2% | 16-9-0 | 25 |
#44 | 58.2% | 16-9-0 | 25 | |
#45 | Portugal | 58.1% | 9-4-0 | 13 |
#46 | Italy | 58.1% | 9-3-1 | 13 |
#47 | Netherlands | 58.1% | 9-4-0 | 13 |
#48 | United States | 58.1% | 9-4-0 | 13 |
#49 | United States | 58.1% | 9-4-0 | 13 |
#50 | United States | 58.1% | 9-4-0 | 13 |
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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 (55.6%), 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)