Nuu
Nuu has a 34.8% win rate across 236 tracked Silver Age matches (data through August 2026).
Disruptive
Difficulty:
4.0
Silver Age
All statistics and data on this page are for Silver Age format
Silver Age Performance Summary
Data through August 2026
W
80
L
150
D
6
Players ranked by Bayesian smoothed win rate with Nuu in All Time
Total Pilots
39
Time Period
All Time
Data Through
August 2026
#1 Taotao Chu
United States
Smoothed Win Rate
42.3%
Raw Win Rate
68.4%
Record
13-6-0
Events / Games
3 / 19
France
Smoothed Win Rate
39.8%
Raw Win Rate
54.2%
Record
13-11-0
Events / Games
3 / 24
Germany
Smoothed Win Rate
36.4%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#4 Travis Yeo
United States
Smoothed Win Rate
35.8%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
United States
Smoothed Win Rate
35.8%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
#6 Jaydon Loar
United States
Smoothed Win Rate
35.4%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
United Kingdom
Smoothed Win Rate
35.1%
Raw Win Rate
38.9%
Record
7-10-1
Events / Games
2 / 18
Spain
Smoothed Win Rate
34.8%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
United States
Smoothed Win Rate
34.8%
Raw Win Rate
42.9%
Record
3-3-1
Events / Games
1 / 7
#10 Jared Wyce
United States
Smoothed Win Rate
34.4%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#11 Florian Anger
Germany
Smoothed Win Rate
34.4%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#12 Lubos Vanicek
United Kingdom
Smoothed Win Rate
33.9%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
#13 Kenjy Jap
United States
Smoothed Win Rate
33.9%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
#14 Patrik Koller
Switzerland
Smoothed Win Rate
33.8%
Raw Win Rate
33.3%
Record
2-4-0
Events / Games
1 / 6
#15 Ynez Nevarez
United States
Smoothed Win Rate
33.8%
Raw Win Rate
33.3%
Record
3-6-0
Events / Games
2 / 9
#16 Adrian Lee
United Kingdom
Smoothed Win Rate
33.8%
Raw Win Rate
33.3%
Record
6-12-0
Events / Games
2 / 18
#17 James Wray
United States
Smoothed Win Rate
33.3%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#18 Kieran Waters
Ireland
Smoothed Win Rate
33.3%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#19 Mantas Navickas
Lithuania
Smoothed Win Rate
33.3%
Raw Win Rate
25.0%
Record
1-2-1
Events / Games
1 / 4
Australia
Smoothed Win Rate
33.3%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#21 Sophia Claire
United States
Smoothed Win Rate
33.3%
Raw Win Rate
0.0%
Record
0-1-0
Events / Games
1 / 1
United States
Smoothed Win Rate
33.3%
Raw Win Rate
0.0%
Record
0-1-0
Events / Games
1 / 1
#23 Indigo Bosworth
Ireland
Smoothed Win Rate
32.8%
Raw Win Rate
20.0%
Record
1-4-0
Events / Games
1 / 5
United States
Smoothed Win Rate
32.8%
Raw Win Rate
20.0%
Record
1-4-0
Events / Games
1 / 5
#25 Yohann Jouanny
France
Smoothed Win Rate
32.8%
Raw Win Rate
20.0%
Record
1-4-0
Events / Games
1 / 5
#26 Henry Gomez
United States
Smoothed Win Rate
32.8%
Raw Win Rate
0.0%
Record
0-2-0
Events / Games
1 / 2
#27 Nicholas Botchis
United States
Smoothed Win Rate
32.8%
Raw Win Rate
0.0%
Record
0-2-0
Events / Games
1 / 2
#28 Andrew Wiguna
Indonesia
Smoothed Win Rate
32.8%
Raw Win Rate
0.0%
Record
0-2-0
Events / Games
1 / 2
#29 Felipe Samberg
Brazil
Smoothed Win Rate
32.8%
Raw Win Rate
0.0%
Record
0-1-1
Events / Games
1 / 2
#30 Andrew Chambers
United States
Smoothed Win Rate
32.3%
Raw Win Rate
16.7%
Record
1-4-1
Events / Games
1 / 6
#31 Kevin Becker
United States
Smoothed Win Rate
32.3%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
Belgium
Smoothed Win Rate
32.3%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#33 William Spiars
United States
Smoothed Win Rate
32.3%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#34 Luzian Kolb
Germany
Smoothed Win Rate
32.3%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#35 克夫 梅澤
Japan
Smoothed Win Rate
31.8%
Raw Win Rate
14.3%
Record
1-5-1
Events / Games
1 / 7
#36 Carlo Cuenca
United States
Smoothed Win Rate
31.7%
Raw Win Rate
0.0%
Record
0-4-0
Events / Games
2 / 4
#37 Sarah Nicholas
Australia
Smoothed Win Rate
31.7%
Raw Win Rate
0.0%
Record
0-4-0
Events / Games
1 / 4
#38 Connor Knight
Australia
Smoothed Win Rate
31.7%
Raw Win Rate
0.0%
Record
0-4-0
Events / Games
1 / 4
Costa Rica
Smoothed Win Rate
31.2%
Raw Win Rate
0.0%
Record
0-5-0
Events / Games
2 / 5
| Rank | Player | Win Rate | Record | Games |
|---|---|---|---|---|
#1 | United States | 42.3% | 13-6-0 | 19 |
#2 | France | 39.8% | 13-11-0 | 24 |
#3 | Germany | 36.4% | 4-3-0 | 7 |
#4 | United States | 35.8% | 4-4-0 | 8 |
#5 | United States | 35.8% | 4-4-0 | 8 |
#6 | United States | 35.4% | 3-3-0 | 6 |
#7 | United Kingdom | 35.1% | 7-10-1 | 18 |
#8 | 34.8% | 3-4-0 | 7 | |
#9 | United States | 34.8% | 3-3-1 | 7 |
#10 | United States | 34.4% | 2-3-0 | 5 |
#11 | Germany | 34.4% | 2-3-0 | 5 |
#12 | United Kingdom | 33.9% | 1-2-0 | 3 |
#13 | United States | 33.9% | 1-2-0 | 3 |
#14 | Switzerland | 33.8% | 2-4-0 | 6 |
#15 | United States | 33.8% | 3-6-0 | 9 |
#16 | United Kingdom | 33.8% | 6-12-0 | 18 |
#17 | United States | 33.3% | 1-3-0 | 4 |
#18 | Ireland | 33.3% | 1-3-0 | 4 |
#19 | Lithuania | 33.3% | 1-2-1 | 4 |
#20 | Australia | 33.3% | 1-3-0 | 4 |
#21 | United States | 33.3% | 0-1-0 | 1 |
#22 | United States | 33.3% | 0-1-0 | 1 |
#23 | Ireland | 32.8% | 1-4-0 | 5 |
#24 | United States | 32.8% | 1-4-0 | 5 |
#25 | France | 32.8% | 1-4-0 | 5 |
#26 | United States | 32.8% | 0-2-0 | 2 |
#27 | United States | 32.8% | 0-2-0 | 2 |
#28 | Indonesia | 32.8% | 0-2-0 | 2 |
#29 | Brazil | 32.8% | 0-1-1 | 2 |
#30 | United States | 32.3% | 1-4-1 | 6 |
#31 | United States | 32.3% | 0-3-0 | 3 |
#32 | Belgium | 32.3% | 0-3-0 | 3 |
#33 | United States | 32.3% | 0-3-0 | 3 |
#34 | Germany | 32.3% | 0-3-0 | 3 |
#35 | Japan | 31.8% | 1-5-1 | 7 |
#36 | United States | 31.7% | 0-4-0 | 4 |
#37 | Australia | 31.7% | 0-4-0 | 4 |
#38 | Australia | 31.7% | 0-4-0 | 4 |
#39 | Costa Rica | 31.2% | 0-5-0 | 5 |
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 (33.9%), 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)