
Tuffnut
Bumbling HulksterDefensive
Difficulty:
2.0
Classic Constructed

Classic Constructed Performance Summary
W
143
L
268
D
9
Players ranked by Bayesian smoothed win rate with Tuffnut in All Time
Total Pilots
51
Time Period
All Time
Last Updated
Jul 21, 2026 at 9:23 PM
Indonesia
Smoothed Win Rate
37.2%
Raw Win Rate
63.6%
Record
7-4-0
Events / Games
1 / 11
#2 PH Chung
Hong Kong
Smoothed Win Rate
36.8%
Raw Win Rate
66.7%
Record
6-3-0
Events / Games
1 / 9
#3 Dean Carr
United States
Smoothed Win Rate
36.4%
Raw Win Rate
71.4%
Record
5-1-1
Events / Games
1 / 7
#4 Alex Lindley
United States
Smoothed Win Rate
35.0%
Raw Win Rate
42.9%
Record
9-11-1
Events / Games
3 / 21
United States
Smoothed Win Rate
34.8%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
Netherlands
Smoothed Win Rate
34.8%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
United States
Smoothed Win Rate
34.8%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
Netherlands
Smoothed Win Rate
33.3%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
United Kingdom
Smoothed Win Rate
33.3%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
#10 Spencer Horton
Australia
Smoothed Win Rate
33.3%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
#11 Xavier Emery
United States
Smoothed Win Rate
33.3%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
#12 Oscar Cotton
United States
Smoothed Win Rate
33.3%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
#13 Dominic McKenzie
Isle of Man
Smoothed Win Rate
32.8%
Raw Win Rate
37.5%
Record
3-5-0
Events / Games
1 / 8
#14 Rodrigo Martinez
United States
Smoothed Win Rate
32.8%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#15 Fumiya U
Japan
Smoothed Win Rate
32.8%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
Philippines
Smoothed Win Rate
32.2%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
#17 Jared Warden
United States
Smoothed Win Rate
32.2%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
#18 Niels Vos
Netherlands
Smoothed Win Rate
31.7%
Raw Win Rate
28.6%
Record
2-5-0
Events / Games
1 / 7
#19 LUCAS Dias
Brazil
Smoothed Win Rate
31.7%
Raw Win Rate
28.6%
Record
2-5-0
Events / Games
1 / 7
#20 Connor Leverton
Japan
Smoothed Win Rate
31.7%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#21 Wim Raes
Belgium
Smoothed Win Rate
31.7%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#22 Caleb Lolley
United States
Smoothed Win Rate
31.7%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#23 Rindo Masunaga
Japan
Smoothed Win Rate
31.7%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#24 Amelia Russell
Canada
Smoothed Win Rate
31.7%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#25 Hayden Farrar
United States
Smoothed Win Rate
31.7%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#26 優太 高橋
Japan
Smoothed Win Rate
31.7%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#27 隆誠 細井
Japan
Smoothed Win Rate
31.7%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#28 Zachery Hill
United States
Smoothed Win Rate
31.7%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#29 Philippe Arcand
Canada
Smoothed Win Rate
31.7%
Raw Win Rate
25.0%
Record
1-2-1
Events / Games
1 / 4
#30 Antoine Muller
France
Smoothed Win Rate
31.7%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#31 Rhyan Wellwood
Australia
Smoothed Win Rate
31.7%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#32 James Gilley
United States
Smoothed Win Rate
31.7%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#33 Bernard Eng
Taiwan
Smoothed Win Rate
31.6%
Raw Win Rate
0.0%
Record
0-1-0
Events / Games
1 / 1
#34 Josh Van Stone
United States
Smoothed Win Rate
31.6%
Raw Win Rate
0.0%
Record
0-1-0
Events / Games
1 / 1
#35 Patrick McKenna
United States
Smoothed Win Rate
31.2%
Raw Win Rate
20.0%
Record
1-4-0
Events / Games
1 / 5
Italy
Smoothed Win Rate
31.2%
Raw Win Rate
20.0%
Record
1-4-0
Events / Games
1 / 5
#37 Armando Aguilar
United States
Smoothed Win Rate
31.1%
Raw Win Rate
0.0%
Record
0-2-0
Events / Games
1 / 2
#38 Hiroaki Suzuki
Japan
Smoothed Win Rate
31.0%
Raw Win Rate
26.7%
Record
4-10-1
Events / Games
2 / 15
#39 Théo Lamour
France
Smoothed Win Rate
30.7%
Raw Win Rate
16.7%
Record
1-5-0
Events / Games
1 / 6
#40 Jacob Wells
United States
Smoothed Win Rate
30.5%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#41 Arthur Kindl
Australia
Smoothed Win Rate
30.5%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#42 Alex Pocknall
Australia
Smoothed Win Rate
30.5%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
Canada
Smoothed Win Rate
30.5%
Raw Win Rate
0.0%
Record
0-2-1
Events / Games
1 / 3
Japan
Smoothed Win Rate
30.5%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#45 Brian Peeters
Netherlands
Smoothed Win Rate
30.5%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#46 Spencer Astling
United States
Smoothed Win Rate
30.5%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#47 Joshua Campbell
United States
Smoothed Win Rate
30.2%
Raw Win Rate
14.3%
Record
1-5-1
Events / Games
2 / 7
#48 Jackson Flint
United States
Smoothed Win Rate
30.2%
Raw Win Rate
14.3%
Record
1-6-0
Events / Games
1 / 7
#49 Roger Braun
Germany
Smoothed Win Rate
30.1%
Raw Win Rate
0.0%
Record
0-4-0
Events / Games
1 / 4
#50 Jason Lo
Hong Kong
Smoothed Win Rate
30.1%
Raw Win Rate
0.0%
Record
0-4-0
Events / Games
1 / 4
| Rank | Player | Win Rate | Record | Games |
|---|---|---|---|---|
#1 | Indonesia | 37.2% | 7-4-0 | 11 |
#2 | Hong Kong | 36.8% | 6-3-0 | 9 |
#3 | United States | 36.4% | 5-1-1 | 7 |
#4 | United States | 35.0% | 9-11-1 | 21 |
#5 | United States | 34.8% | 4-3-0 | 7 |
#6 | Netherlands | 34.8% | 4-3-0 | 7 |
#7 | United States | 34.8% | 4-3-0 | 7 |
#8 | Netherlands | 33.3% | 3-4-0 | 7 |
#9 | United Kingdom | 33.3% | 3-4-0 | 7 |
#10 | Australia | 33.3% | 3-4-0 | 7 |
#11 | United States | 33.3% | 3-4-0 | 7 |
#12 | United States | 33.3% | 3-4-0 | 7 |
#13 | Isle of Man | 32.8% | 3-5-0 | 8 |
#14 | United States | 32.8% | 2-3-0 | 5 |
#15 | Japan | 32.8% | 2-3-0 | 5 |
#16 | Philippines | 32.2% | 1-2-0 | 3 |
#17 | United States | 32.2% | 1-2-0 | 3 |
#18 | Netherlands | 31.7% | 2-5-0 | 7 |
#19 | Brazil | 31.7% | 2-5-0 | 7 |
#20 | Japan | 31.7% | 1-3-0 | 4 |
#21 | Belgium | 31.7% | 1-3-0 | 4 |
#22 | United States | 31.7% | 1-3-0 | 4 |
#23 | Japan | 31.7% | 1-3-0 | 4 |
#24 | Canada | 31.7% | 1-3-0 | 4 |
#25 | United States | 31.7% | 1-3-0 | 4 |
#26 | Japan | 31.7% | 1-3-0 | 4 |
#27 | Japan | 31.7% | 1-3-0 | 4 |
#28 | United States | 31.7% | 1-3-0 | 4 |
#29 | Canada | 31.7% | 1-2-1 | 4 |
#30 | France | 31.7% | 1-3-0 | 4 |
#31 | Australia | 31.7% | 1-3-0 | 4 |
#32 | United States | 31.7% | 1-3-0 | 4 |
#33 | Taiwan | 31.6% | 0-1-0 | 1 |
#34 | United States | 31.6% | 0-1-0 | 1 |
#35 | United States | 31.2% | 1-4-0 | 5 |
#36 | Italy | 31.2% | 1-4-0 | 5 |
#37 | United States | 31.1% | 0-2-0 | 2 |
#38 | Japan | 31.0% | 4-10-1 | 15 |
#39 | France | 30.7% | 1-5-0 | 6 |
#40 | United States | 30.5% | 0-3-0 | 3 |
#41 | Australia | 30.5% | 0-3-0 | 3 |
#42 | Australia | 30.5% | 0-3-0 | 3 |
#43 | Canada | 30.5% | 0-2-1 | 3 |
#44 | 30.5% | 0-3-0 | 3 | |
#45 | Netherlands | 30.5% | 0-3-0 | 3 |
#46 | United States | 30.5% | 0-3-0 | 3 |
#47 | United States | 30.2% | 1-5-1 | 7 |
#48 | United States | 30.2% | 1-6-0 | 7 |
#49 | Germany | 30.1% | 0-4-0 | 4 |
#50 | Hong Kong | 30.1% | 0-4-0 | 4 |
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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 (32.1%), 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)