Aurora
Aurora has a 44.6% win rate across 195 tracked Silver Age matches (data through August 2026).
Aggressive
Difficulty:
2.0
Silver Age
All statistics and data on this page are for Silver Age format
Silver Age Performance Summary
Data through August 2026
W
87
L
108
Players ranked by Bayesian smoothed win rate with Aurora in All Time
Total Pilots
31
Time Period
All Time
Data Through
August 2026
#1 Isaac Brooks
United States
Smoothed Win Rate
49.1%
Raw Win Rate
64.7%
Record
11-6-0
Events / Games
2 / 17
#2 Paddy Morgan
United Kingdom
Smoothed Win Rate
48.5%
Raw Win Rate
61.1%
Record
11-7-0
Events / Games
2 / 18
United States
Smoothed Win Rate
48.3%
Raw Win Rate
70.0%
Record
7-3-0
Events / Games
1 / 10
Canada
Smoothed Win Rate
47.0%
Raw Win Rate
57.1%
Record
8-6-0
Events / Games
1 / 14
United States
Smoothed Win Rate
46.8%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
United States
Smoothed Win Rate
46.2%
Raw Win Rate
54.5%
Record
6-5-0
Events / Games
2 / 11
Indonesia
Smoothed Win Rate
45.9%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
United States
Smoothed Win Rate
45.3%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
#9 Duane Flier
United States
Smoothed Win Rate
45.1%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#10 Ben Kent
New Zealand
Smoothed Win Rate
45.1%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
Italy
Smoothed Win Rate
45.1%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#12 Emery Powell
United States
Smoothed Win Rate
45.0%
Raw Win Rate
50.0%
Record
2-2-0
Events / Games
1 / 4
United States
Smoothed Win Rate
45.0%
Raw Win Rate
50.0%
Record
2-2-0
Events / Games
1 / 4
#14 尚規 石坂
Japan
Smoothed Win Rate
44.4%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
#15 Steffen Bauer
Germany
Smoothed Win Rate
44.4%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
#16 Clayton Dell
United States
Smoothed Win Rate
44.4%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
#17 Nick Gabler
United States
Smoothed Win Rate
44.1%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
#18 Phillip Millwee
United States
Smoothed Win Rate
44.1%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
#19 TCGTed Grabow
United States
Smoothed Win Rate
43.9%
Raw Win Rate
0.0%
Record
0-1-0
Events / Games
1 / 1
#20 梶田 和満
Japan
Smoothed Win Rate
43.6%
Raw Win Rate
33.3%
Record
2-4-0
Events / Games
1 / 6
#21 Joshua Howard
United Kingdom
Smoothed Win Rate
43.4%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#22 Katy Pickburn
United Kingdom
Smoothed Win Rate
43.4%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
Thailand
Smoothed Win Rate
43.4%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
United States
Smoothed Win Rate
43.2%
Raw Win Rate
0.0%
Record
0-2-0
Events / Games
1 / 2
#25 Taiga Maeda
Japan
Smoothed Win Rate
43.2%
Raw Win Rate
0.0%
Record
0-2-0
Events / Games
1 / 2
#26 Bill Fox
United States
Smoothed Win Rate
43.2%
Raw Win Rate
0.0%
Record
0-2-0
Events / Games
1 / 2
#27 Juan Pineda
United States
Smoothed Win Rate
42.5%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#28 Nancy Lampert
United States
Smoothed Win Rate
42.5%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#29 Maike Reistel
Germany
Smoothed Win Rate
42.3%
Raw Win Rate
25.0%
Record
2-6-0
Events / Games
1 / 8
#30 Mary Stevens
United States
Smoothed Win Rate
41.8%
Raw Win Rate
0.0%
Record
0-4-0
Events / Games
1 / 4
United States
Smoothed Win Rate
40.5%
Raw Win Rate
0.0%
Record
0-6-0
Events / Games
1 / 6
| Rank | Player | Win Rate | Record | Games |
|---|---|---|---|---|
#1 | United States | 49.1% | 11-6-0 | 17 |
#2 | United Kingdom | 48.5% | 11-7-0 | 18 |
#3 | United States | 48.3% | 7-3-0 | 10 |
#4 | Canada | 47.0% | 8-6-0 | 14 |
#5 | United States | 46.8% | 5-3-0 | 8 |
#6 | United States | 46.2% | 6-5-0 | 11 |
#7 | Indonesia | 45.9% | 4-3-0 | 7 |
#8 | United States | 45.3% | 4-4-0 | 8 |
#9 | United States | 45.1% | 3-3-0 | 6 |
#10 | New Zealand | 45.1% | 3-3-0 | 6 |
#11 | Italy | 45.1% | 3-3-0 | 6 |
#12 | United States | 45.0% | 2-2-0 | 4 |
#13 | United States | 45.0% | 2-2-0 | 4 |
#14 | Japan | 44.4% | 3-4-0 | 7 |
#15 | Germany | 44.4% | 3-4-0 | 7 |
#16 | United States | 44.4% | 3-4-0 | 7 |
#17 | United States | 44.1% | 1-2-0 | 3 |
#18 | United States | 44.1% | 1-2-0 | 3 |
#19 | United States | 43.9% | 0-1-0 | 1 |
#20 | Japan | 43.6% | 2-4-0 | 6 |
#21 | United Kingdom | 43.4% | 1-3-0 | 4 |
#22 | United Kingdom | 43.4% | 1-3-0 | 4 |
#23 | Thailand | 43.4% | 1-3-0 | 4 |
#24 | United States | 43.2% | 0-2-0 | 2 |
#25 | Japan | 43.2% | 0-2-0 | 2 |
#26 | United States | 43.2% | 0-2-0 | 2 |
#27 | United States | 42.5% | 0-3-0 | 3 |
#28 | United States | 42.5% | 0-3-0 | 3 |
#29 | Germany | 42.3% | 2-6-0 | 8 |
#30 | United States | 41.8% | 0-4-0 | 4 |
#31 | United States | 40.5% | 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 (44.6%), 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)