Zyggy Starlight
Zyggy Starlight has a 46.1% win rate across 1,030 tracked Classic Constructed matches (data through August 2026).
Board PresenceMidrange
Difficulty:
4.0
Classic Constructed
Classic Constructed Performance Summary
Data through August 2026
W
466
L
545
D
19
Players ranked by Bayesian smoothed win rate with Zyggy Starlight in All Time
Total Pilots
70
Time Period
All Time
Data Through
August 2026
Canada
Smoothed Win Rate
57.2%
Raw Win Rate
81.0%
Record
17-4-0
Events / Games
2 / 21
United States
Smoothed Win Rate
56.0%
Raw Win Rate
76.2%
Record
16-4-1
Events / Games
2 / 21
#3 Ben Hannan
United States
Smoothed Win Rate
54.3%
Raw Win Rate
72.2%
Record
13-5-0
Events / Games
2 / 18
Denmark
Smoothed Win Rate
54.0%
Raw Win Rate
66.7%
Record
16-8-0
Events / Games
2 / 24
#5 Kim Scheerer
Germany
Smoothed Win Rate
53.9%
Raw Win Rate
76.9%
Record
10-3-0
Events / Games
1 / 13
#6 Jason Rolfe
United Kingdom
Smoothed Win Rate
52.8%
Raw Win Rate
62.5%
Record
15-9-0
Events / Games
2 / 24
United States
Smoothed Win Rate
52.5%
Raw Win Rate
69.2%
Record
9-4-0
Events / Games
1 / 13
United States
Smoothed Win Rate
51.6%
Raw Win Rate
60.0%
Record
12-7-1
Events / Games
2 / 20
#9 Lucas Ng
Canada
Smoothed Win Rate
50.4%
Raw Win Rate
66.7%
Record
4-2-0
Events / Games
1 / 6
#10 Sam Cornelis
Belgium
Smoothed Win Rate
50.4%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
#11 Ruben Van Dessel
Belgium
Smoothed Win Rate
50.4%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
#12 Shereena Decano
United States
Smoothed Win Rate
50.4%
Raw Win Rate
60.0%
Record
6-4-0
Events / Games
1 / 10
Germany
Smoothed Win Rate
50.4%
Raw Win Rate
60.0%
Record
6-4-0
Events / Games
1 / 10
#14 Alex Jamieson
Australia
Smoothed Win Rate
50.4%
Raw Win Rate
58.3%
Record
7-5-0
Events / Games
1 / 12
#15 Andreas Albrecht
Germany
Smoothed Win Rate
50.4%
Raw Win Rate
58.3%
Record
7-5-0
Events / Games
1 / 12
#16 Steven Leyva
United States
Smoothed Win Rate
49.7%
Raw Win Rate
53.8%
Record
7-6-0
Events / Games
2 / 13
#17 jeffrey nelson
United States
Smoothed Win Rate
49.7%
Raw Win Rate
55.6%
Record
5-4-0
Events / Games
1 / 9
#18 Logan King
United States
Smoothed Win Rate
49.7%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#19 Kenneth Thomas
United States
Smoothed Win Rate
49.7%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#20 masaru okuda
Japan
Smoothed Win Rate
49.7%
Raw Win Rate
57.1%
Record
4-1-2
Events / Games
1 / 7
#21 Austin Sanders
United States
Smoothed Win Rate
49.7%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#22 Kelsey LeBaron
United States
Smoothed Win Rate
49.7%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#23 David Bruner
United States
Smoothed Win Rate
49.1%
Raw Win Rate
50.0%
Record
9-9-0
Events / Games
3 / 18
#24 Niklas Astner
Sweden
Smoothed Win Rate
48.9%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
#25 小谷 康斗
Japan
Smoothed Win Rate
48.9%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
Germany
Smoothed Win Rate
48.9%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#27 Thomas Bray
United States
Smoothed Win Rate
48.2%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
#28 Joshua Paris
United States
Smoothed Win Rate
48.2%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
#29 Jonas Larsen
Denmark
Smoothed Win Rate
48.2%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
Germany
Smoothed Win Rate
48.1%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#31 Trevor Galligan
United States
Smoothed Win Rate
48.1%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#32 Dalton Cameron
United States
Smoothed Win Rate
48.1%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#33 Tyler Kearney
United States
Smoothed Win Rate
48.1%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#34 Ross Fontana
United States
Smoothed Win Rate
48.1%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#35 Ezekiel Morrison
United States
Smoothed Win Rate
48.1%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#36 Jorge Hernández
Spain
Smoothed Win Rate
48.1%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#37 Nicholas Tagg
United States
Smoothed Win Rate
48.0%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
#38 Brooks Mitchell
United States
Smoothed Win Rate
48.0%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
#39 Jason Dutch
United States
Smoothed Win Rate
48.0%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
#40 Jaden Enzbrenner
United States
Smoothed Win Rate
48.0%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
#41 Malyk Höfle
Netherlands
Smoothed Win Rate
47.3%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#42 Adrian Lee
United Kingdom
Smoothed Win Rate
47.3%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#43 Victor Brøcker
Denmark
Smoothed Win Rate
47.3%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#44 Eric Towne
United States
Smoothed Win Rate
47.3%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#45 Clara Labe
Germany
Smoothed Win Rate
47.3%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#46 Daylon Mack
United States
Smoothed Win Rate
47.3%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#47 Brian Hoffman
United States
Smoothed Win Rate
47.3%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
United States
Smoothed Win Rate
47.3%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#49 Eli Barila
United States
Smoothed Win Rate
47.3%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#50 Simone Paterniti
Italy
Smoothed Win Rate
47.3%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
| Rank | Player | Win Rate | Record | Games |
|---|---|---|---|---|
#1 | Canada | 57.2% | 17-4-0 | 21 |
#2 | United States | 56.0% | 16-4-1 | 21 |
#3 | United States | 54.3% | 13-5-0 | 18 |
#4 | Denmark | 54.0% | 16-8-0 | 24 |
#5 | Germany | 53.9% | 10-3-0 | 13 |
#6 | United Kingdom | 52.8% | 15-9-0 | 24 |
#7 | United States | 52.5% | 9-4-0 | 13 |
#8 | United States | 51.6% | 12-7-1 | 20 |
#9 | Canada | 50.4% | 4-2-0 | 6 |
#10 | Belgium | 50.4% | 5-3-0 | 8 |
#11 | Belgium | 50.4% | 5-3-0 | 8 |
#12 | United States | 50.4% | 6-4-0 | 10 |
#13 | Germany | 50.4% | 6-4-0 | 10 |
#14 | Australia | 50.4% | 7-5-0 | 12 |
#15 | Germany | 50.4% | 7-5-0 | 12 |
#16 | United States | 49.7% | 7-6-0 | 13 |
#17 | United States | 49.7% | 5-4-0 | 9 |
#18 | United States | 49.7% | 4-3-0 | 7 |
#19 | United States | 49.7% | 4-3-0 | 7 |
#20 | Japan | 49.7% | 4-1-2 | 7 |
#21 | United States | 49.7% | 4-3-0 | 7 |
#22 | United States | 49.7% | 4-3-0 | 7 |
#23 | United States | 49.1% | 9-9-0 | 18 |
#24 | Sweden | 48.9% | 4-4-0 | 8 |
#25 | Japan | 48.9% | 3-3-0 | 6 |
#26 | Germany | 48.9% | 3-3-0 | 6 |
#27 | United States | 48.2% | 3-4-0 | 7 |
#28 | United States | 48.2% | 3-4-0 | 7 |
#29 | Denmark | 48.2% | 3-4-0 | 7 |
#30 | Germany | 48.1% | 2-3-0 | 5 |
#31 | United States | 48.1% | 2-3-0 | 5 |
#32 | United States | 48.1% | 2-3-0 | 5 |
#33 | United States | 48.1% | 2-3-0 | 5 |
#34 | United States | 48.1% | 2-3-0 | 5 |
#35 | United States | 48.1% | 2-3-0 | 5 |
#36 | Spain | 48.1% | 2-3-0 | 5 |
#37 | United States | 48.0% | 1-2-0 | 3 |
#38 | United States | 48.0% | 1-2-0 | 3 |
#39 | United States | 48.0% | 1-2-0 | 3 |
#40 | United States | 48.0% | 1-2-0 | 3 |
#41 | Netherlands | 47.3% | 1-3-0 | 4 |
#42 | United Kingdom | 47.3% | 1-3-0 | 4 |
#43 | Denmark | 47.3% | 1-3-0 | 4 |
#44 | United States | 47.3% | 1-3-0 | 4 |
#45 | Germany | 47.3% | 1-3-0 | 4 |
#46 | United States | 47.3% | 1-3-0 | 4 |
#47 | United States | 47.3% | 1-3-0 | 4 |
#48 | United States | 47.3% | 1-3-0 | 4 |
#49 | United States | 47.3% | 1-3-0 | 4 |
#50 | Italy | 47.3% | 1-3-0 | 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 (48.8%), 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)