
Fang
Dracai of BladesFang has a 47.1% win rate across 3,754 tracked Classic Constructed matches (data through August 2026).
AggressiveMidrange
Difficulty:
2.0
Classic Constructed

Classic Constructed Performance Summary
Data through August 2026
W
1755
L
1970
D
29
Players ranked by Bayesian smoothed win rate with Fang in All Time
Total Pilots
308
Time Period
All Time
Data Through
August 2026
Japan
Smoothed Win Rate
54.0%
Raw Win Rate
67.6%
Record
23-11-0
Events / Games
4 / 34
Japan
Smoothed Win Rate
53.6%
Raw Win Rate
67.7%
Record
21-10-0
Events / Games
3 / 31
Germany
Smoothed Win Rate
53.1%
Raw Win Rate
80.0%
Record
12-3-0
Events / Games
1 / 15
Norway
Smoothed Win Rate
53.0%
Raw Win Rate
65.6%
Record
21-11-0
Events / Games
4 / 32
#5 Nick Webb
United States
Smoothed Win Rate
52.9%
Raw Win Rate
63.9%
Record
23-13-0
Events / Games
4 / 36
#6 Lukas Proske
Germany
Smoothed Win Rate
52.4%
Raw Win Rate
78.6%
Record
11-3-0
Events / Games
1 / 14
#7 Gui Cohen
United States
Smoothed Win Rate
52.1%
Raw Win Rate
66.7%
Record
16-8-0
Events / Games
2 / 24
United States
Smoothed Win Rate
52.1%
Raw Win Rate
65.4%
Record
17-9-0
Events / Games
3 / 26
Germany
Smoothed Win Rate
51.7%
Raw Win Rate
70.6%
Record
12-5-0
Events / Games
3 / 17
#10 Andrew Wilborn
United States
Smoothed Win Rate
51.6%
Raw Win Rate
68.4%
Record
13-6-0
Events / Games
2 / 19
#11 Bird Cabrera
United States
Smoothed Win Rate
51.5%
Raw Win Rate
64.0%
Record
16-9-0
Events / Games
3 / 25
#12 Nathan Hills
United Kingdom
Smoothed Win Rate
51.1%
Raw Win Rate
75.0%
Record
9-3-0
Events / Games
1 / 12
#13 Francesco Motta
Italy
Smoothed Win Rate
51.0%
Raw Win Rate
66.7%
Record
12-6-0
Events / Games
2 / 18
#14 Fikri Arrahman
Indonesia
Smoothed Win Rate
50.4%
Raw Win Rate
72.7%
Record
8-3-0
Events / Games
1 / 11
#15 Alex Tyler
United States
Smoothed Win Rate
50.3%
Raw Win Rate
58.6%
Record
17-12-0
Events / Games
4 / 29
#16 Matthew Brown
United Kingdom
Smoothed Win Rate
49.7%
Raw Win Rate
62.5%
Record
10-6-0
Events / Games
2 / 16
New Zealand
Smoothed Win Rate
49.7%
Raw Win Rate
66.7%
Record
8-4-0
Events / Games
1 / 12
#18 Zachary Knutson
United States
Smoothed Win Rate
49.2%
Raw Win Rate
55.2%
Record
16-13-0
Events / Games
3 / 29
#19 Patrick Weiss
United States
Smoothed Win Rate
49.1%
Raw Win Rate
56.5%
Record
13-10-0
Events / Games
3 / 23
#20 Lucas Vaz
Norway
Smoothed Win Rate
49.0%
Raw Win Rate
61.5%
Record
8-5-0
Events / Games
2 / 13
#21 sean Burke
United States
Smoothed Win Rate
49.0%
Raw Win Rate
61.5%
Record
8-5-0
Events / Games
2 / 13
#22 Billy Docherty
Australia
Smoothed Win Rate
48.9%
Raw Win Rate
63.6%
Record
7-4-0
Events / Games
1 / 11
#23 Jascha Werth
Germany
Smoothed Win Rate
48.9%
Raw Win Rate
66.7%
Record
6-3-0
Events / Games
1 / 9
#24 Matthew Allan
Canada
Smoothed Win Rate
48.9%
Raw Win Rate
66.7%
Record
6-3-0
Events / Games
1 / 9
#25 Kazuaki Fukui
Japan
Smoothed Win Rate
48.9%
Raw Win Rate
71.4%
Record
5-2-0
Events / Games
1 / 7
Thailand
Smoothed Win Rate
48.9%
Raw Win Rate
71.4%
Record
5-2-0
Events / Games
1 / 7
#27 Jacob Neet
United States
Smoothed Win Rate
48.9%
Raw Win Rate
71.4%
Record
5-1-1
Events / Games
1 / 7
#28 Lucas Ward
New Zealand
Smoothed Win Rate
48.3%
Raw Win Rate
57.1%
Record
8-6-0
Events / Games
2 / 14
#29 Takumi Kawabe
Japan
Smoothed Win Rate
48.3%
Raw Win Rate
57.1%
Record
8-6-0
Events / Games
1 / 14
#30 Raheel Khalid
United States
Smoothed Win Rate
48.3%
Raw Win Rate
58.3%
Record
7-5-0
Events / Games
2 / 12
#31 Kenji Enomoto
Japan
Smoothed Win Rate
48.3%
Raw Win Rate
58.3%
Record
7-5-0
Events / Games
2 / 12
#32 Dennis Guinn
United States
Smoothed Win Rate
48.3%
Raw Win Rate
58.3%
Record
7-5-0
Events / Games
2 / 12
#33 Hiroki Goto
Japan
Smoothed Win Rate
48.3%
Raw Win Rate
58.3%
Record
7-5-0
Events / Games
1 / 12
#34 Yoshiaki Okamoto
Japan
Smoothed Win Rate
48.3%
Raw Win Rate
58.3%
Record
7-5-0
Events / Games
1 / 12
#35 Daniel Eliassen
Norway
Smoothed Win Rate
48.3%
Raw Win Rate
58.3%
Record
7-5-0
Events / Games
1 / 12
#36 EIKI SUGAI
Japan
Smoothed Win Rate
48.3%
Raw Win Rate
58.3%
Record
7-5-0
Events / Games
1 / 12
#37 Devin McAtee
United States
Smoothed Win Rate
48.1%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
#38 Georg Sossnowetz
Germany
Smoothed Win Rate
48.1%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
#39 Ryan Greget
United States
Smoothed Win Rate
48.1%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
#40 Kok Tong Chew
Singapore
Smoothed Win Rate
48.1%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
Germany
Smoothed Win Rate
48.1%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
#42 Fabian Schunn
Germany
Smoothed Win Rate
48.1%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
#43 Luca Capoccioni
Italy
Smoothed Win Rate
48.1%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
#44 Benjamin Prisse
Singapore
Smoothed Win Rate
48.1%
Raw Win Rate
66.7%
Record
4-2-0
Events / Games
1 / 6
#45 Brad Adam
Australia
Smoothed Win Rate
48.1%
Raw Win Rate
66.7%
Record
4-2-0
Events / Games
1 / 6
#46 Daniel Nixon
United States
Smoothed Win Rate
48.1%
Raw Win Rate
66.7%
Record
4-2-0
Events / Games
1 / 6
#47 Richard Moretti
United States
Smoothed Win Rate
48.1%
Raw Win Rate
51.6%
Record
16-15-0
Events / Games
4 / 31
#48 Sota Amitsu
Japan
Smoothed Win Rate
48.0%
Raw Win Rate
51.9%
Record
14-13-0
Events / Games
4 / 27
#49 Kyle McKeough
United States
Smoothed Win Rate
47.6%
Raw Win Rate
53.3%
Record
8-7-0
Events / Games
2 / 15
#50 Tobias Neller
Germany
Smoothed Win Rate
47.6%
Raw Win Rate
53.8%
Record
7-6-0
Events / Games
2 / 13
| Rank | Player | Win Rate | Record | Games |
|---|---|---|---|---|
#1 | Japan | 54.0% | 23-11-0 | 34 |
#2 | Japan | 53.6% | 21-10-0 | 31 |
#3 | Germany | 53.1% | 12-3-0 | 15 |
#4 | Norway | 53.0% | 21-11-0 | 32 |
#5 | United States | 52.9% | 23-13-0 | 36 |
#6 | Germany | 52.4% | 11-3-0 | 14 |
#7 | United States | 52.1% | 16-8-0 | 24 |
#8 | United States | 52.1% | 17-9-0 | 26 |
#9 | Germany | 51.7% | 12-5-0 | 17 |
#10 | United States | 51.6% | 13-6-0 | 19 |
#11 | United States | 51.5% | 16-9-0 | 25 |
#12 | United Kingdom | 51.1% | 9-3-0 | 12 |
#13 | Italy | 51.0% | 12-6-0 | 18 |
#14 | Indonesia | 50.4% | 8-3-0 | 11 |
#15 | United States | 50.3% | 17-12-0 | 29 |
#16 | United Kingdom | 49.7% | 10-6-0 | 16 |
#17 | New Zealand | 49.7% | 8-4-0 | 12 |
#18 | United States | 49.2% | 16-13-0 | 29 |
#19 | United States | 49.1% | 13-10-0 | 23 |
#20 | Norway | 49.0% | 8-5-0 | 13 |
#21 | United States | 49.0% | 8-5-0 | 13 |
#22 | Australia | 48.9% | 7-4-0 | 11 |
#23 | Germany | 48.9% | 6-3-0 | 9 |
#24 | Canada | 48.9% | 6-3-0 | 9 |
#25 | Japan | 48.9% | 5-2-0 | 7 |
#26 | Thailand | 48.9% | 5-2-0 | 7 |
#27 | United States | 48.9% | 5-1-1 | 7 |
#28 | New Zealand | 48.3% | 8-6-0 | 14 |
#29 | Japan | 48.3% | 8-6-0 | 14 |
#30 | United States | 48.3% | 7-5-0 | 12 |
#31 | Japan | 48.3% | 7-5-0 | 12 |
#32 | United States | 48.3% | 7-5-0 | 12 |
#33 | Japan | 48.3% | 7-5-0 | 12 |
#34 | Japan | 48.3% | 7-5-0 | 12 |
#35 | Norway | 48.3% | 7-5-0 | 12 |
#36 | Japan | 48.3% | 7-5-0 | 12 |
#37 | United States | 48.1% | 5-3-0 | 8 |
#38 | Germany | 48.1% | 5-3-0 | 8 |
#39 | United States | 48.1% | 5-3-0 | 8 |
#40 | Singapore | 48.1% | 5-3-0 | 8 |
#41 | Germany | 48.1% | 5-3-0 | 8 |
#42 | Germany | 48.1% | 5-3-0 | 8 |
#43 | Italy | 48.1% | 5-3-0 | 8 |
#44 | Singapore | 48.1% | 4-2-0 | 6 |
#45 | Australia | 48.1% | 4-2-0 | 6 |
#46 | United States | 48.1% | 4-2-0 | 6 |
#47 | United States | 48.1% | 16-15-0 | 31 |
#48 | Japan | 48.0% | 14-13-0 | 27 |
#49 | United States | 47.6% | 8-7-0 | 15 |
#50 | Germany | 47.6% | 7-6-0 | 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 (46.2%), 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)