
Blaze
FiremindBlaze has a 46.0% win rate across 756 tracked Silver Age matches (data through August 2026).
AggressiveCombo
Difficulty:
3.0
Silver Age
All statistics and data on this page are for Silver Age format

Silver Age Performance Summary
Data through August 2026
W
347
L
407
D
2
Players ranked by Bayesian smoothed win rate with Blaze in All Time
Total Pilots
136
Time Period
All Time
Data Through
August 2026
#1 Warre Sevens
Belgium
Smoothed Win Rate
53.4%
Raw Win Rate
77.8%
Record
14-4-0
Events / Games
2 / 18
Japan
Smoothed Win Rate
52.3%
Raw Win Rate
90.0%
Record
9-1-0
Events / Games
1 / 10
#3 Drew Bosco
United States
Smoothed Win Rate
50.8%
Raw Win Rate
80.0%
Record
8-2-0
Events / Games
1 / 10
United States
Smoothed Win Rate
50.1%
Raw Win Rate
77.8%
Record
7-2-0
Events / Games
1 / 9
#5 Nova Chan
Hong Kong
Smoothed Win Rate
50.1%
Raw Win Rate
72.7%
Record
8-3-0
Events / Games
1 / 11
United States
Smoothed Win Rate
49.4%
Raw Win Rate
75.0%
Record
6-2-0
Events / Games
1 / 8
#7 James Wray
United States
Smoothed Win Rate
48.7%
Raw Win Rate
61.5%
Record
8-5-0
Events / Games
2 / 13
Thailand
Smoothed Win Rate
48.7%
Raw Win Rate
61.5%
Record
8-5-0
Events / Games
2 / 13
#9 Aaron Lee
Singapore
Smoothed Win Rate
48.7%
Raw Win Rate
63.6%
Record
7-4-0
Events / Games
1 / 11
Thailand
Smoothed Win Rate
48.7%
Raw Win Rate
63.6%
Record
7-4-0
Events / Games
1 / 11
#11 Michael Lau
United States
Smoothed Win Rate
48.6%
Raw Win Rate
66.7%
Record
6-3-0
Events / Games
1 / 9
#12 Mel Falcon
United States
Smoothed Win Rate
48.6%
Raw Win Rate
66.7%
Record
6-3-0
Events / Games
1 / 9
#13 Kieran Carnegie
New Zealand
Smoothed Win Rate
48.6%
Raw Win Rate
71.4%
Record
5-2-0
Events / Games
1 / 7
Netherlands
Smoothed Win Rate
47.9%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
#15 Samed Demir
Netherlands
Smoothed Win Rate
47.9%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
Australia
Smoothed Win Rate
47.8%
Raw Win Rate
66.7%
Record
4-2-0
Events / Games
1 / 6
#17 Sage Walker
New Zealand
Smoothed Win Rate
47.8%
Raw Win Rate
66.7%
Record
4-2-0
Events / Games
1 / 6
#18 Spencer Horton
Australia
Smoothed Win Rate
47.8%
Raw Win Rate
66.7%
Record
4-2-0
Events / Games
1 / 6
#19 Piper Allen
Australia
Smoothed Win Rate
47.8%
Raw Win Rate
66.7%
Record
4-2-0
Events / Games
1 / 6
#20 Jon Gibson
United States
Smoothed Win Rate
47.3%
Raw Win Rate
53.8%
Record
7-6-0
Events / Games
2 / 13
#21 Raheel Khalid
United States
Smoothed Win Rate
47.3%
Raw Win Rate
54.5%
Record
6-5-0
Events / Games
2 / 11
#22 Casey Knepley
United States
Smoothed Win Rate
47.2%
Raw Win Rate
55.6%
Record
5-4-0
Events / Games
1 / 9
#23 Jeremy Stowe
United States
Smoothed Win Rate
47.2%
Raw Win Rate
55.6%
Record
5-4-0
Events / Games
1 / 9
United States
Smoothed Win Rate
47.2%
Raw Win Rate
55.6%
Record
5-3-1
Events / Games
1 / 9
#25 Declan Patrick
United Kingdom
Smoothed Win Rate
47.1%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#26 Naib Mobassir
United States
Smoothed Win Rate
47.1%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#27 Liam Canning
United Kingdom
Smoothed Win Rate
47.1%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
United States
Smoothed Win Rate
47.1%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#29 Matthew Rawlings
United States
Smoothed Win Rate
47.1%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#30 Jonathan Bollier
France
Smoothed Win Rate
47.1%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#31 Romain Lambert
Belgium
Smoothed Win Rate
47.1%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
United States
Smoothed Win Rate
47.0%
Raw Win Rate
60.0%
Record
3-2-0
Events / Games
1 / 5
#33 Matthew Colter
United States
Smoothed Win Rate
47.0%
Raw Win Rate
60.0%
Record
3-2-0
Events / Games
1 / 5
#34 Adam Rotondi
United States
Smoothed Win Rate
47.0%
Raw Win Rate
60.0%
Record
3-2-0
Events / Games
1 / 5
#35 Cody Gibson
United States
Smoothed Win Rate
46.9%
Raw Win Rate
66.7%
Record
2-1-0
Events / Games
1 / 3
#36 Jonas Benzarti
Denmark
Smoothed Win Rate
46.4%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
#37 Kevin Gehringer
Germany
Smoothed Win Rate
46.4%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
#38 James Potter
United States
Smoothed Win Rate
46.4%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
#39 Owen Keane
United States
Smoothed Win Rate
46.4%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
#40 Porter Boroski
United States
Smoothed Win Rate
46.4%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
Germany
Smoothed Win Rate
46.3%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#42 Robert Crone
Netherlands
Smoothed Win Rate
46.3%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#43 Richard Kruithof
Netherlands
Smoothed Win Rate
46.3%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#44 Anthony DeMeo
United States
Smoothed Win Rate
46.3%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#45 Violet Dold
United States
Smoothed Win Rate
46.3%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#46 Jean Paul Negron
United States
Smoothed Win Rate
46.3%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#47 Matheo Franchot
United States
Smoothed Win Rate
46.3%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#48 Robert Szary
Poland
Smoothed Win Rate
46.2%
Raw Win Rate
50.0%
Record
2-2-0
Events / Games
1 / 4
#49 Jacob Bader
United States
Smoothed Win Rate
46.2%
Raw Win Rate
50.0%
Record
2-2-0
Events / Games
1 / 4
#50 Jonah Overholt
United States
Smoothed Win Rate
46.2%
Raw Win Rate
50.0%
Record
2-2-0
Events / Games
1 / 4
| Rank | Player | Win Rate | Record | Games |
|---|---|---|---|---|
#1 | Belgium | 53.4% | 14-4-0 | 18 |
#2 | Japan | 52.3% | 9-1-0 | 10 |
#3 | United States | 50.8% | 8-2-0 | 10 |
#4 | United States | 50.1% | 7-2-0 | 9 |
#5 | Hong Kong | 50.1% | 8-3-0 | 11 |
#6 | United States | 49.4% | 6-2-0 | 8 |
#7 | United States | 48.7% | 8-5-0 | 13 |
#8 | Thailand | 48.7% | 8-5-0 | 13 |
#9 | Singapore | 48.7% | 7-4-0 | 11 |
#10 | Thailand | 48.7% | 7-4-0 | 11 |
#11 | United States | 48.6% | 6-3-0 | 9 |
#12 | United States | 48.6% | 6-3-0 | 9 |
#13 | New Zealand | 48.6% | 5-2-0 | 7 |
#14 | Netherlands | 47.9% | 5-3-0 | 8 |
#15 | Netherlands | 47.9% | 5-3-0 | 8 |
#16 | Australia | 47.8% | 4-2-0 | 6 |
#17 | New Zealand | 47.8% | 4-2-0 | 6 |
#18 | Australia | 47.8% | 4-2-0 | 6 |
#19 | Australia | 47.8% | 4-2-0 | 6 |
#20 | United States | 47.3% | 7-6-0 | 13 |
#21 | United States | 47.3% | 6-5-0 | 11 |
#22 | United States | 47.2% | 5-4-0 | 9 |
#23 | United States | 47.2% | 5-4-0 | 9 |
#24 | United States | 47.2% | 5-3-1 | 9 |
#25 | United Kingdom | 47.1% | 4-3-0 | 7 |
#26 | United States | 47.1% | 4-3-0 | 7 |
#27 | United Kingdom | 47.1% | 4-3-0 | 7 |
#28 | United States | 47.1% | 4-3-0 | 7 |
#29 | United States | 47.1% | 4-3-0 | 7 |
#30 | France | 47.1% | 4-3-0 | 7 |
#31 | Belgium | 47.1% | 4-3-0 | 7 |
#32 | United States | 47.0% | 3-2-0 | 5 |
#33 | United States | 47.0% | 3-2-0 | 5 |
#34 | United States | 47.0% | 3-2-0 | 5 |
#35 | United States | 46.9% | 2-1-0 | 3 |
#36 | Denmark | 46.4% | 4-4-0 | 8 |
#37 | Germany | 46.4% | 4-4-0 | 8 |
#38 | United States | 46.4% | 4-4-0 | 8 |
#39 | United States | 46.4% | 4-4-0 | 8 |
#40 | United States | 46.4% | 4-4-0 | 8 |
#41 | Germany | 46.3% | 3-3-0 | 6 |
#42 | Netherlands | 46.3% | 3-3-0 | 6 |
#43 | Netherlands | 46.3% | 3-3-0 | 6 |
#44 | United States | 46.3% | 3-3-0 | 6 |
#45 | United States | 46.3% | 3-3-0 | 6 |
#46 | United States | 46.3% | 3-3-0 | 6 |
#47 | United States | 46.3% | 3-3-0 | 6 |
#48 | Poland | 46.2% | 2-2-0 | 4 |
#49 | United States | 46.2% | 2-2-0 | 4 |
#50 | United States | 46.2% | 2-2-0 | 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 (45.9%), 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)