
Aurora
Aggressive
Difficulty:
2.0
Silver Age
All statistics and data on this page are for Silver Age format

Silver Age Performance Summary
W
72
L
88
Players ranked by Bayesian smoothed win rate with Aurora in All Time
Total Pilots
25
Time Period
All Time
Last Updated
Jul 25, 2026 at 4:26 PM
#1 Isaac Brooks
United States
Smoothed Win Rate
49.5%
Raw Win Rate
64.7%
Record
11-6-0
Events / Games
2 / 17
#2 Paddy Morgan
United Kingdom
Smoothed Win Rate
48.8%
Raw Win Rate
61.1%
Record
11-7-0
Events / Games
2 / 18
United States
Smoothed Win Rate
48.7%
Raw Win Rate
70.0%
Record
7-3-0
Events / Games
1 / 10
Canada
Smoothed Win Rate
47.4%
Raw Win Rate
57.1%
Record
8-6-0
Events / Games
1 / 14
United States
Smoothed Win Rate
46.5%
Raw Win Rate
54.5%
Record
6-5-0
Events / Games
2 / 11
Indonesia
Smoothed Win Rate
46.3%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
United States
Smoothed Win Rate
45.6%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
#8 Duane Flier
United States
Smoothed Win Rate
45.5%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#9 Ben Kent
New Zealand
Smoothed Win Rate
45.5%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
Italy
Smoothed Win Rate
45.5%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#11 尚規 石坂
Japan
Smoothed Win Rate
44.8%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
#12 Steffen Bauer
Germany
Smoothed Win Rate
44.8%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
#13 Nick Gabler
United States
Smoothed Win Rate
44.4%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
#14 Phillip Millwee
United States
Smoothed Win Rate
44.4%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
#15 TCGTed Grabow
United States
Smoothed Win Rate
44.2%
Raw Win Rate
0.0%
Record
0-1-0
Events / Games
1 / 1
#16 梶田 和満
Japan
Smoothed Win Rate
43.9%
Raw Win Rate
33.3%
Record
2-4-0
Events / Games
1 / 6
#17 Joshua Howard
United Kingdom
Smoothed Win Rate
43.7%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#18 Katy Pickburn
United Kingdom
Smoothed Win Rate
43.7%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
United States
Smoothed Win Rate
43.5%
Raw Win Rate
0.0%
Record
0-2-0
Events / Games
1 / 2
#20 Taiga Maeda
Japan
Smoothed Win Rate
43.5%
Raw Win Rate
0.0%
Record
0-2-0
Events / Games
1 / 2
#21 Bill Fox
United States
Smoothed Win Rate
43.5%
Raw Win Rate
0.0%
Record
0-2-0
Events / Games
1 / 2
#22 Juan Pineda
United States
Smoothed Win Rate
42.8%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#23 Nancy Lampert
United States
Smoothed Win Rate
42.8%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#24 Mary Stevens
United States
Smoothed Win Rate
42.1%
Raw Win Rate
0.0%
Record
0-4-0
Events / Games
1 / 4
United States
Smoothed Win Rate
40.8%
Raw Win Rate
0.0%
Record
0-6-0
Events / Games
1 / 6
| Rank | Player | Win Rate | Record | Games |
|---|---|---|---|---|
#1 | United States | 49.5% | 11-6-0 | 17 |
#2 | United Kingdom | 48.8% | 11-7-0 | 18 |
#3 | United States | 48.7% | 7-3-0 | 10 |
#4 | Canada | 47.4% | 8-6-0 | 14 |
#5 | United States | 46.5% | 6-5-0 | 11 |
#6 | Indonesia | 46.3% | 4-3-0 | 7 |
#7 | United States | 45.6% | 4-4-0 | 8 |
#8 | United States | 45.5% | 3-3-0 | 6 |
#9 | New Zealand | 45.5% | 3-3-0 | 6 |
#10 | Italy | 45.5% | 3-3-0 | 6 |
#11 | Japan | 44.8% | 3-4-0 | 7 |
#12 | Germany | 44.8% | 3-4-0 | 7 |
#13 | United States | 44.4% | 1-2-0 | 3 |
#14 | United States | 44.4% | 1-2-0 | 3 |
#15 | United States | 44.2% | 0-1-0 | 1 |
#16 | Japan | 43.9% | 2-4-0 | 6 |
#17 | United Kingdom | 43.7% | 1-3-0 | 4 |
#18 | United Kingdom | 43.7% | 1-3-0 | 4 |
#19 | United States | 43.5% | 0-2-0 | 2 |
#20 | Japan | 43.5% | 0-2-0 | 2 |
#21 | United States | 43.5% | 0-2-0 | 2 |
#22 | United States | 42.8% | 0-3-0 | 3 |
#23 | United States | 42.8% | 0-3-0 | 3 |
#24 | United States | 42.1% | 0-4-0 | 4 |
#25 | United States | 40.8% | 0-6-0 | 6 |
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 (45.0%), 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)