
Arakni
5L!p3d 7hRu 7h3 cR4XAggressiveDisruptive
Difficulty:
2.0
Classic Constructed

Classic Constructed Performance Summary
W
2649
L
2320
D
38
Players ranked by Bayesian smoothed win rate with Arakni in All Time
Total Pilots
378
Time Period
All Time
Last Updated
Jul 21, 2026 at 10:04 PM
Italy
Smoothed Win Rate
60.5%
Raw Win Rate
82.6%
Record
19-4-0
Events / Games
2 / 23
United Kingdom
Smoothed Win Rate
59.3%
Raw Win Rate
72.7%
Record
24-9-0
Events / Games
3 / 33
#3 Enes Findik
Germany
Smoothed Win Rate
58.2%
Raw Win Rate
69.7%
Record
23-9-1
Events / Games
4 / 33
United States
Smoothed Win Rate
58.2%
Raw Win Rate
76.2%
Record
16-5-0
Events / Games
2 / 21
Canada
Smoothed Win Rate
58.2%
Raw Win Rate
76.2%
Record
16-5-0
Events / Games
2 / 21
#6 Hayden Dale
Australia
Smoothed Win Rate
58.0%
Raw Win Rate
70.0%
Record
21-8-1
Events / Games
3 / 30
United States
Smoothed Win Rate
57.8%
Raw Win Rate
72.0%
Record
18-7-0
Events / Games
3 / 25
Canada
Smoothed Win Rate
57.7%
Raw Win Rate
75.0%
Record
15-4-1
Events / Games
2 / 20
#9 Andy Pham
Australia
Smoothed Win Rate
57.3%
Raw Win Rate
70.8%
Record
17-7-0
Events / Games
3 / 24
#10 Damian Moss
Australia
Smoothed Win Rate
56.8%
Raw Win Rate
64.9%
Record
24-13-0
Events / Games
4 / 37
#11 Liang Choong Poh
Malaysia
Smoothed Win Rate
56.7%
Raw Win Rate
88.9%
Record
8-1-0
Events / Games
1 / 9
#12 Viet Pham
Germany
Smoothed Win Rate
56.6%
Raw Win Rate
72.2%
Record
13-5-0
Events / Games
2 / 18
#13 Kelvin Chen
Malaysia
Smoothed Win Rate
56.6%
Raw Win Rate
72.2%
Record
13-5-0
Events / Games
2 / 18
#14 Peter Buddensiek
United States
Smoothed Win Rate
56.6%
Raw Win Rate
63.4%
Record
26-15-0
Events / Games
5 / 41
#15 Tom Escoffier
France
Smoothed Win Rate
56.5%
Raw Win Rate
81.8%
Record
9-2-0
Events / Games
1 / 11
#16 Juntaek Lim
South Korea
Smoothed Win Rate
56.4%
Raw Win Rate
70.0%
Record
14-6-0
Events / Games
2 / 20
#17 Eric Cheong
Singapore
Smoothed Win Rate
56.3%
Raw Win Rate
76.9%
Record
10-3-0
Events / Games
1 / 13
#18 Maxwell Mitchell
United States
Smoothed Win Rate
55.9%
Raw Win Rate
80.0%
Record
8-2-0
Events / Games
1 / 10
#19 Cody Williams
United States
Smoothed Win Rate
55.7%
Raw Win Rate
75.0%
Record
9-3-0
Events / Games
1 / 12
#20 Timothy Long
United States
Smoothed Win Rate
55.7%
Raw Win Rate
75.0%
Record
9-3-0
Events / Games
1 / 12
#21 Tho Bui
United States
Smoothed Win Rate
55.7%
Raw Win Rate
75.0%
Record
9-3-0
Events / Games
1 / 12
#22 Daniel Edwards
United States
Smoothed Win Rate
55.7%
Raw Win Rate
75.0%
Record
9-3-0
Events / Games
1 / 12
#23 Jayden Allan
New Zealand
Smoothed Win Rate
55.7%
Raw Win Rate
75.0%
Record
9-3-0
Events / Games
1 / 12
#24 Griffin Meyers
United States
Smoothed Win Rate
55.7%
Raw Win Rate
75.0%
Record
9-3-0
Events / Games
1 / 12
#25 Mirko Dolce
Italy
Smoothed Win Rate
55.7%
Raw Win Rate
66.7%
Record
14-6-1
Events / Games
2 / 21
#26 Luke Magnuson
United States
Smoothed Win Rate
55.6%
Raw Win Rate
65.2%
Record
15-8-0
Events / Games
3 / 23
#27 Simon Nielsen
Denmark
Smoothed Win Rate
55.6%
Raw Win Rate
71.4%
Record
10-4-0
Events / Games
1 / 14
#28 Yuki Matsumoto
Japan
Smoothed Win Rate
55.3%
Raw Win Rate
66.7%
Record
12-6-0
Events / Games
2 / 18
#29 Mark Johnson
United States
Smoothed Win Rate
55.2%
Raw Win Rate
77.8%
Record
7-2-0
Events / Games
1 / 9
#30 Khoi Dinh
Vietnam
Smoothed Win Rate
55.1%
Raw Win Rate
72.7%
Record
8-2-1
Events / Games
1 / 11
#31 Soh zheng
Singapore
Smoothed Win Rate
54.9%
Raw Win Rate
69.2%
Record
9-4-0
Events / Games
1 / 13
#32 Ka Chan
United States
Smoothed Win Rate
54.9%
Raw Win Rate
69.2%
Record
9-4-0
Events / Games
1 / 13
#33 Jasin Long
New Zealand
Smoothed Win Rate
54.9%
Raw Win Rate
69.2%
Record
9-4-0
Events / Games
1 / 13
Austria
Smoothed Win Rate
54.8%
Raw Win Rate
61.5%
Record
16-10-0
Events / Games
3 / 26
#35 Logan King
United States
Smoothed Win Rate
54.5%
Raw Win Rate
75.0%
Record
6-2-0
Events / Games
1 / 8
#36 Jenan Wise
United States
Smoothed Win Rate
54.5%
Raw Win Rate
75.0%
Record
6-2-0
Events / Games
1 / 8
#37 Matthew Shelly
United States
Smoothed Win Rate
54.3%
Raw Win Rate
60.9%
Record
14-9-0
Events / Games
3 / 23
#38 Daniel Mulato
Italy
Smoothed Win Rate
54.3%
Raw Win Rate
66.7%
Record
8-3-1
Events / Games
1 / 12
#39 Camille Colin
France
Smoothed Win Rate
54.3%
Raw Win Rate
66.7%
Record
8-4-0
Events / Games
1 / 12
#40 Andrew Lorenz
United States
Smoothed Win Rate
54.3%
Raw Win Rate
66.7%
Record
8-4-0
Events / Games
1 / 12
#41 Rafał Liwerski
Poland
Smoothed Win Rate
54.3%
Raw Win Rate
66.7%
Record
8-4-0
Events / Games
1 / 12
Poland
Smoothed Win Rate
54.3%
Raw Win Rate
66.7%
Record
8-4-0
Events / Games
1 / 12
#43 shirui wu
Singapore
Smoothed Win Rate
54.3%
Raw Win Rate
66.7%
Record
8-4-0
Events / Games
1 / 12
#44 Dr. Daniel McKay
New Zealand
Smoothed Win Rate
54.2%
Raw Win Rate
60.0%
Record
15-10-0
Events / Games
3 / 25
#45 Kent Summerour
United States
Smoothed Win Rate
54.2%
Raw Win Rate
64.3%
Record
9-5-0
Events / Games
2 / 14
#46 Matteo Blasi
Italy
Smoothed Win Rate
54.2%
Raw Win Rate
64.3%
Record
9-4-1
Events / Games
2 / 14
#47 Nathan Hills
United Kingdom
Smoothed Win Rate
54.2%
Raw Win Rate
64.3%
Record
9-5-0
Events / Games
1 / 14
#48 Yoshiki Inada
Japan
Smoothed Win Rate
54.1%
Raw Win Rate
59.3%
Record
16-11-0
Events / Games
3 / 27
#49 Michaele Teppa
Belgium
Smoothed Win Rate
54.0%
Raw Win Rate
80.0%
Record
4-1-0
Events / Games
1 / 5
#50 Shing Tsang
Hong Kong
Smoothed Win Rate
53.9%
Raw Win Rate
61.1%
Record
11-7-0
Events / Games
2 / 18
| Rank | Player | Win Rate | Record | Games |
|---|---|---|---|---|
#1 | Italy | 60.5% | 19-4-0 | 23 |
#2 | United Kingdom | 59.3% | 24-9-0 | 33 |
#3 | Germany | 58.2% | 23-9-1 | 33 |
#4 | United States | 58.2% | 16-5-0 | 21 |
#5 | Canada | 58.2% | 16-5-0 | 21 |
#6 | Australia | 58.0% | 21-8-1 | 30 |
#7 | United States | 57.8% | 18-7-0 | 25 |
#8 | Canada | 57.7% | 15-4-1 | 20 |
#9 | Australia | 57.3% | 17-7-0 | 24 |
#10 | Australia | 56.8% | 24-13-0 | 37 |
#11 | Malaysia | 56.7% | 8-1-0 | 9 |
#12 | Germany | 56.6% | 13-5-0 | 18 |
#13 | Malaysia | 56.6% | 13-5-0 | 18 |
#14 | United States | 56.6% | 26-15-0 | 41 |
#15 | France | 56.5% | 9-2-0 | 11 |
#16 | South Korea | 56.4% | 14-6-0 | 20 |
#17 | Singapore | 56.3% | 10-3-0 | 13 |
#18 | United States | 55.9% | 8-2-0 | 10 |
#19 | United States | 55.7% | 9-3-0 | 12 |
#20 | United States | 55.7% | 9-3-0 | 12 |
#21 | United States | 55.7% | 9-3-0 | 12 |
#22 | United States | 55.7% | 9-3-0 | 12 |
#23 | New Zealand | 55.7% | 9-3-0 | 12 |
#24 | United States | 55.7% | 9-3-0 | 12 |
#25 | Italy | 55.7% | 14-6-1 | 21 |
#26 | United States | 55.6% | 15-8-0 | 23 |
#27 | Denmark | 55.6% | 10-4-0 | 14 |
#28 | Japan | 55.3% | 12-6-0 | 18 |
#29 | United States | 55.2% | 7-2-0 | 9 |
#30 | Vietnam | 55.1% | 8-2-1 | 11 |
#31 | Singapore | 54.9% | 9-4-0 | 13 |
#32 | United States | 54.9% | 9-4-0 | 13 |
#33 | New Zealand | 54.9% | 9-4-0 | 13 |
#34 | Austria | 54.8% | 16-10-0 | 26 |
#35 | United States | 54.5% | 6-2-0 | 8 |
#36 | United States | 54.5% | 6-2-0 | 8 |
#37 | United States | 54.3% | 14-9-0 | 23 |
#38 | Italy | 54.3% | 8-3-1 | 12 |
#39 | France | 54.3% | 8-4-0 | 12 |
#40 | United States | 54.3% | 8-4-0 | 12 |
#41 | Poland | 54.3% | 8-4-0 | 12 |
#42 | Poland | 54.3% | 8-4-0 | 12 |
#43 | Singapore | 54.3% | 8-4-0 | 12 |
#44 | New Zealand | 54.2% | 15-10-0 | 25 |
#45 | United States | 54.2% | 9-5-0 | 14 |
#46 | Italy | 54.2% | 9-4-1 | 14 |
#47 | United Kingdom | 54.2% | 9-5-0 | 14 |
#48 | Japan | 54.1% | 16-11-0 | 27 |
#49 | Belgium | 54.0% | 4-1-0 | 5 |
#50 | Hong Kong | 53.9% | 11-7-0 | 18 |
Showing page 1 of 8
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 (51.7%), 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)