Riptide
Lurker of the DeepDefensiveDisruptive
Difficulty:
3.0
Classic Constructed
Classic Constructed Performance Summary
W
900
L
1171
D
40
Players ranked by Bayesian smoothed win rate with Riptide in All Time
Total Pilots
204
Time Period
All Time
Last Updated
Jul 21, 2026 at 7:33 PM
United States
Smoothed Win Rate
51.5%
Raw Win Rate
72.0%
Record
18-7-0
Events / Games
3 / 25
#2 Ji Timm Lee
Malaysia
Smoothed Win Rate
50.3%
Raw Win Rate
73.7%
Record
14-5-0
Events / Games
2 / 19
Brazil
Smoothed Win Rate
50.2%
Raw Win Rate
63.6%
Record
21-12-0
Events / Games
4 / 33
United States
Smoothed Win Rate
49.6%
Raw Win Rate
78.6%
Record
11-3-0
Events / Games
2 / 14
United States
Smoothed Win Rate
48.9%
Raw Win Rate
70.6%
Record
12-5-0
Events / Games
2 / 17
United Kingdom
Smoothed Win Rate
48.7%
Raw Win Rate
56.8%
Record
25-19-0
Events / Games
6 / 44
#7 Jeff Stamm
United States
Smoothed Win Rate
47.6%
Raw Win Rate
64.7%
Record
11-6-0
Events / Games
2 / 17
Spain
Smoothed Win Rate
47.5%
Raw Win Rate
69.2%
Record
9-4-0
Events / Games
1 / 13
#9 Rod Waje
Philippines
Smoothed Win Rate
47.4%
Raw Win Rate
72.7%
Record
8-3-0
Events / Games
1 / 11
#10 Brandon Robinson
United States
Smoothed Win Rate
47.3%
Raw Win Rate
77.8%
Record
7-2-0
Events / Games
1 / 9
#11 Farid Farhan
Singapore
Smoothed Win Rate
47.1%
Raw Win Rate
59.1%
Record
13-9-0
Events / Games
3 / 22
#12 Vincent Arui
Canada
Smoothed Win Rate
46.7%
Raw Win Rate
66.7%
Record
8-4-0
Events / Games
1 / 12
#13 Pablo Pintor
Spain
Smoothed Win Rate
46.5%
Raw Win Rate
75.0%
Record
6-1-1
Events / Games
1 / 8
United States
Smoothed Win Rate
46.3%
Raw Win Rate
58.8%
Record
10-7-0
Events / Games
2 / 17
#15 Tim Dasiukevich
United Kingdom
Smoothed Win Rate
46.1%
Raw Win Rate
53.8%
Record
14-12-0
Events / Games
4 / 26
#16 Hanno Lünser
Germany
Smoothed Win Rate
46.1%
Raw Win Rate
53.8%
Record
14-12-0
Events / Games
3 / 26
#17 Clinton Jeffers
United States
Smoothed Win Rate
46.1%
Raw Win Rate
61.5%
Record
8-5-0
Events / Games
1 / 13
Italy
Smoothed Win Rate
45.8%
Raw Win Rate
55.0%
Record
11-9-0
Events / Games
3 / 20
#19 Kaiser Tan
Singapore
Smoothed Win Rate
45.5%
Raw Win Rate
50.0%
Record
19-19-0
Events / Games
6 / 38
#20 Andrius Pečiulis
Lithuania
Smoothed Win Rate
45.4%
Raw Win Rate
57.1%
Record
8-6-0
Events / Games
2 / 14
#21 Jesse Harper
United States
Smoothed Win Rate
45.3%
Raw Win Rate
52.2%
Record
12-11-0
Events / Games
3 / 23
#22 Rokas Pocius
Lithuania
Smoothed Win Rate
45.3%
Raw Win Rate
58.3%
Record
7-4-1
Events / Games
1 / 12
Brazil
Smoothed Win Rate
45.3%
Raw Win Rate
58.3%
Record
7-5-0
Events / Games
1 / 12
#24 Keven Meyer
United States
Smoothed Win Rate
45.2%
Raw Win Rate
60.0%
Record
6-4-0
Events / Games
1 / 10
#25 Joshua Rath
United States
Smoothed Win Rate
45.0%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
#26 Leonardo Pessôa
Brazil
Smoothed Win Rate
45.0%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
Mexico
Smoothed Win Rate
45.0%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
#28 Thames Yeo
Singapore
Smoothed Win Rate
45.0%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
#29 Gabriel Torres
United States
Smoothed Win Rate
44.5%
Raw Win Rate
54.5%
Record
6-5-0
Events / Games
2 / 11
Italy
Smoothed Win Rate
44.5%
Raw Win Rate
54.5%
Record
6-5-0
Events / Games
2 / 11
#31 Alexander Vore
United States
Smoothed Win Rate
44.4%
Raw Win Rate
50.0%
Record
9-9-0
Events / Games
2 / 18
#32 FatGuy Poor
Taiwan
Smoothed Win Rate
44.3%
Raw Win Rate
55.6%
Record
5-4-0
Events / Games
1 / 9
#33 Joel Rencen
United Kingdom
Smoothed Win Rate
44.2%
Raw Win Rate
50.0%
Record
8-8-0
Events / Games
3 / 16
#34 George Jones
United Kingdom
Smoothed Win Rate
44.2%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#35 Rogue Theory
United States
Smoothed Win Rate
44.2%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#36 Jarik Caisse
United States
Smoothed Win Rate
44.2%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#37 Digl Dixon
New Zealand
Smoothed Win Rate
44.2%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
Germany
Smoothed Win Rate
44.2%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#39 Pascal Flügel
Germany
Smoothed Win Rate
44.0%
Raw Win Rate
50.0%
Record
7-7-0
Events / Games
2 / 14
United States
Smoothed Win Rate
44.0%
Raw Win Rate
50.0%
Record
7-7-0
Events / Games
2 / 14
#41 Marei Oshiro
Japan
Smoothed Win Rate
44.0%
Raw Win Rate
50.0%
Record
7-6-1
Events / Games
2 / 14
#42 John McCreanor
Australia
Smoothed Win Rate
44.0%
Raw Win Rate
50.0%
Record
7-7-0
Events / Games
2 / 14
#43 Keven Daymond
United Kingdom
Smoothed Win Rate
44.0%
Raw Win Rate
50.0%
Record
7-7-0
Events / Games
2 / 14
#44 Anthony Pham
United States
Smoothed Win Rate
44.0%
Raw Win Rate
60.0%
Record
3-2-0
Events / Games
1 / 5
#45 Devin McAtee
United States
Smoothed Win Rate
43.9%
Raw Win Rate
50.0%
Record
6-6-0
Events / Games
2 / 12
#46 Nathan Beni
United States
Smoothed Win Rate
43.5%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
2 / 8
#47 Andrew Rayner
United Kingdom
Smoothed Win Rate
43.5%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
#48 Lu Wei Soh
Singapore
Smoothed Win Rate
43.5%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
#49 Levi Kujawa-Seda
United States
Smoothed Win Rate
43.5%
Raw Win Rate
50.0%
Record
4-3-1
Events / Games
1 / 8
#50 David McCartney
United States
Smoothed Win Rate
43.5%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
| Rank | Player | Win Rate | Record | Games |
|---|---|---|---|---|
#1 | United States | 51.5% | 18-7-0 | 25 |
#2 | Malaysia | 50.3% | 14-5-0 | 19 |
#3 | Brazil | 50.2% | 21-12-0 | 33 |
#4 | United States | 49.6% | 11-3-0 | 14 |
#5 | United States | 48.9% | 12-5-0 | 17 |
#6 | United Kingdom | 48.7% | 25-19-0 | 44 |
#7 | United States | 47.6% | 11-6-0 | 17 |
#8 | Spain | 47.5% | 9-4-0 | 13 |
#9 | Philippines | 47.4% | 8-3-0 | 11 |
#10 | United States | 47.3% | 7-2-0 | 9 |
#11 | Singapore | 47.1% | 13-9-0 | 22 |
#12 | Canada | 46.7% | 8-4-0 | 12 |
#13 | Spain | 46.5% | 6-1-1 | 8 |
#14 | United States | 46.3% | 10-7-0 | 17 |
#15 | United Kingdom | 46.1% | 14-12-0 | 26 |
#16 | Germany | 46.1% | 14-12-0 | 26 |
#17 | United States | 46.1% | 8-5-0 | 13 |
#18 | Italy | 45.8% | 11-9-0 | 20 |
#19 | Singapore | 45.5% | 19-19-0 | 38 |
#20 | Lithuania | 45.4% | 8-6-0 | 14 |
#21 | United States | 45.3% | 12-11-0 | 23 |
#22 | Lithuania | 45.3% | 7-4-1 | 12 |
#23 | Brazil | 45.3% | 7-5-0 | 12 |
#24 | United States | 45.2% | 6-4-0 | 10 |
#25 | United States | 45.0% | 5-3-0 | 8 |
#26 | Brazil | 45.0% | 5-3-0 | 8 |
#27 | Mexico | 45.0% | 5-3-0 | 8 |
#28 | Singapore | 45.0% | 5-3-0 | 8 |
#29 | United States | 44.5% | 6-5-0 | 11 |
#30 | Italy | 44.5% | 6-5-0 | 11 |
#31 | United States | 44.4% | 9-9-0 | 18 |
#32 | Taiwan | 44.3% | 5-4-0 | 9 |
#33 | United Kingdom | 44.2% | 8-8-0 | 16 |
#34 | United Kingdom | 44.2% | 4-3-0 | 7 |
#35 | United States | 44.2% | 4-3-0 | 7 |
#36 | United States | 44.2% | 4-3-0 | 7 |
#37 | New Zealand | 44.2% | 4-3-0 | 7 |
#38 | Germany | 44.2% | 4-3-0 | 7 |
#39 | Germany | 44.0% | 7-7-0 | 14 |
#40 | United States | 44.0% | 7-7-0 | 14 |
#41 | Japan | 44.0% | 7-6-1 | 14 |
#42 | Australia | 44.0% | 7-7-0 | 14 |
#43 | United Kingdom | 44.0% | 7-7-0 | 14 |
#44 | United States | 44.0% | 3-2-0 | 5 |
#45 | United States | 43.9% | 6-6-0 | 12 |
#46 | United States | 43.5% | 4-4-0 | 8 |
#47 | United Kingdom | 43.5% | 4-4-0 | 8 |
#48 | Singapore | 43.5% | 4-4-0 | 8 |
#49 | United States | 43.5% | 4-3-1 | 8 |
#50 | United States | 43.5% | 4-4-0 | 8 |
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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 (42.6%), 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)