Betsy
Skin in the GameBetsy has a 50.5% win rate across 567 tracked Classic Constructed matches (data through August 2026).
Defensive
Difficulty:
2.0
Classic Constructed
Classic Constructed Performance Summary
Data through August 2026
W
282
L
276
D
9
Players ranked by Bayesian smoothed win rate with Betsy in All Time
Total Pilots
58
Time Period
All Time
Data Through
August 2026
#1 Jamie Foster
United States
Smoothed Win Rate
55.8%
Raw Win Rate
75.0%
Record
9-3-0
Events / Games
1 / 12
#2 Dagan White
United States
Smoothed Win Rate
55.3%
Raw Win Rate
66.7%
Record
12-6-0
Events / Games
2 / 18
United States
Smoothed Win Rate
55.1%
Raw Win Rate
72.7%
Record
8-3-0
Events / Games
1 / 11
#4 David Lee
United States
Smoothed Win Rate
55.0%
Raw Win Rate
69.2%
Record
9-4-0
Events / Games
1 / 13
#5 Masay Toda
Japan
Smoothed Win Rate
54.5%
Raw Win Rate
59.4%
Record
19-13-0
Events / Games
4 / 32
United States
Smoothed Win Rate
54.5%
Raw Win Rate
70.0%
Record
7-3-0
Events / Games
1 / 10
#7 KOHEI TAKANO
Japan
Smoothed Win Rate
54.3%
Raw Win Rate
60.0%
Record
15-10-0
Events / Games
2 / 25
#8 Caleb Hall
United States
Smoothed Win Rate
53.9%
Raw Win Rate
71.4%
Record
5-2-0
Events / Games
1 / 7
United Kingdom
Smoothed Win Rate
53.7%
Raw Win Rate
63.6%
Record
7-4-0
Events / Games
1 / 11
Austria
Smoothed Win Rate
53.6%
Raw Win Rate
61.5%
Record
8-5-0
Events / Games
2 / 13
#11 Gianluigi Lia
Italy
Smoothed Win Rate
53.6%
Raw Win Rate
61.5%
Record
8-4-1
Events / Games
1 / 13
#12 Zachary Wallach
United States
Smoothed Win Rate
53.6%
Raw Win Rate
61.5%
Record
8-4-1
Events / Games
1 / 13
#13 Diego Paoletti
Italy
Smoothed Win Rate
53.1%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
#14 Garrett Johnson
United States
Smoothed Win Rate
53.0%
Raw Win Rate
60.0%
Record
6-4-0
Events / Games
1 / 10
#15 BRAD ALLRED
United States
Smoothed Win Rate
53.0%
Raw Win Rate
58.3%
Record
7-5-0
Events / Games
1 / 12
#16 Luke Shinn
United States
Smoothed Win Rate
52.7%
Raw Win Rate
55.0%
Record
11-9-0
Events / Games
3 / 20
#17 Bryan Knecht
United States
Smoothed Win Rate
52.5%
Raw Win Rate
60.0%
Record
3-2-0
Events / Games
1 / 5
#18 Romar Richardson
United States
Smoothed Win Rate
52.5%
Raw Win Rate
60.0%
Record
3-2-0
Events / Games
1 / 5
#19 Daniel Winning
United Kingdom
Smoothed Win Rate
52.4%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#20 Daniel Mckinlay
United Kingdom
Smoothed Win Rate
52.4%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#21 Erika Forslöf
Sweden
Smoothed Win Rate
52.4%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#22 Shai Edginton
United Kingdom
Smoothed Win Rate
52.4%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#23 Kenneth Lyle
United States
Smoothed Win Rate
52.4%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#24 Linnea Söderlund
Finland
Smoothed Win Rate
52.4%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#25 Andrew Rothermel
United States
Smoothed Win Rate
52.3%
Raw Win Rate
55.6%
Record
5-3-1
Events / Games
1 / 9
#26 Dennis Krstic
Germany
Smoothed Win Rate
52.3%
Raw Win Rate
54.5%
Record
6-5-0
Events / Games
1 / 11
#27 Bailey Kehret
United States
Smoothed Win Rate
51.7%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#28 Ricardo Manrique
Germany
Smoothed Win Rate
51.7%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#29 Antonio Briola
Italy
Smoothed Win Rate
51.6%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
#30 nathan lapham
United States
Smoothed Win Rate
51.6%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
#31 Boris Melnykov
Czech Republic
Smoothed Win Rate
51.6%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
#32 Joe Ellis
United States
Smoothed Win Rate
51.0%
Raw Win Rate
0.0%
Record
0-1-0
Events / Games
1 / 1
#33 Tony Nguyen
United States
Smoothed Win Rate
51.0%
Raw Win Rate
0.0%
Record
0-1-0
Events / Games
1 / 1
#34 Gaël Dorckel
France
Smoothed Win Rate
51.0%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
#35 Nick Soini
United States
Smoothed Win Rate
51.0%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
#36 Colton Branch
United States
Smoothed Win Rate
51.0%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
#37 Sebastian Fauth
Germany
Smoothed Win Rate
50.9%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#38 Randall Sims
United States
Smoothed Win Rate
50.9%
Raw Win Rate
40.0%
Record
2-2-1
Events / Games
1 / 5
#39 Ove Hasselhorst
Germany
Smoothed Win Rate
50.9%
Raw Win Rate
40.0%
Record
2-2-1
Events / Games
1 / 5
Germany
Smoothed Win Rate
50.9%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#41 Igor Wesołowski
Poland
Smoothed Win Rate
50.9%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
#42 David Dandikar
United States
Smoothed Win Rate
50.9%
Raw Win Rate
42.9%
Record
3-3-1
Events / Games
1 / 7
#43 Ashley Southwood
United Kingdom
Smoothed Win Rate
50.9%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
#44 Rowan Duffield
Australia
Smoothed Win Rate
50.2%
Raw Win Rate
0.0%
Record
0-2-0
Events / Games
1 / 2
#45 Luke Snyder
United States
Smoothed Win Rate
50.2%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
Germany
Smoothed Win Rate
50.2%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#47 Neal Blooflat
United States
Smoothed Win Rate
50.2%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#48 Ross Yule
United Kingdom
Smoothed Win Rate
50.2%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#49 Mathias W
Denmark
Smoothed Win Rate
50.1%
Raw Win Rate
37.5%
Record
3-4-1
Events / Games
1 / 8
#50 Nando Nando
Australia
Smoothed Win Rate
49.4%
Raw Win Rate
38.5%
Record
5-8-0
Events / Games
2 / 13
| Rank | Player | Win Rate | Record | Games |
|---|---|---|---|---|
#1 | United States | 55.8% | 9-3-0 | 12 |
#2 | United States | 55.3% | 12-6-0 | 18 |
#3 | United States | 55.1% | 8-3-0 | 11 |
#4 | United States | 55.0% | 9-4-0 | 13 |
#5 | Japan | 54.5% | 19-13-0 | 32 |
#6 | United States | 54.5% | 7-3-0 | 10 |
#7 | Japan | 54.3% | 15-10-0 | 25 |
#8 | United States | 53.9% | 5-2-0 | 7 |
#9 | United Kingdom | 53.7% | 7-4-0 | 11 |
#10 | Austria | 53.6% | 8-5-0 | 13 |
#11 | Italy | 53.6% | 8-4-1 | 13 |
#12 | United States | 53.6% | 8-4-1 | 13 |
#13 | Italy | 53.1% | 5-3-0 | 8 |
#14 | United States | 53.0% | 6-4-0 | 10 |
#15 | United States | 53.0% | 7-5-0 | 12 |
#16 | United States | 52.7% | 11-9-0 | 20 |
#17 | United States | 52.5% | 3-2-0 | 5 |
#18 | United States | 52.5% | 3-2-0 | 5 |
#19 | United Kingdom | 52.4% | 4-3-0 | 7 |
#20 | United Kingdom | 52.4% | 4-3-0 | 7 |
#21 | Sweden | 52.4% | 4-3-0 | 7 |
#22 | United Kingdom | 52.4% | 4-3-0 | 7 |
#23 | United States | 52.4% | 4-3-0 | 7 |
#24 | Finland | 52.4% | 4-3-0 | 7 |
#25 | United States | 52.3% | 5-3-1 | 9 |
#26 | Germany | 52.3% | 6-5-0 | 11 |
#27 | United States | 51.7% | 3-3-0 | 6 |
#28 | Germany | 51.7% | 3-3-0 | 6 |
#29 | Italy | 51.6% | 4-4-0 | 8 |
#30 | United States | 51.6% | 4-4-0 | 8 |
#31 | Czech Republic | 51.6% | 4-4-0 | 8 |
#32 | United States | 51.0% | 0-1-0 | 1 |
#33 | United States | 51.0% | 0-1-0 | 1 |
#34 | France | 51.0% | 1-2-0 | 3 |
#35 | United States | 51.0% | 1-2-0 | 3 |
#36 | United States | 51.0% | 1-2-0 | 3 |
#37 | Germany | 50.9% | 2-3-0 | 5 |
#38 | United States | 50.9% | 2-2-1 | 5 |
#39 | Germany | 50.9% | 2-2-1 | 5 |
#40 | Germany | 50.9% | 2-3-0 | 5 |
#41 | Poland | 50.9% | 3-4-0 | 7 |
#42 | United States | 50.9% | 3-3-1 | 7 |
#43 | United Kingdom | 50.9% | 3-4-0 | 7 |
#44 | Australia | 50.2% | 0-2-0 | 2 |
#45 | United States | 50.2% | 1-3-0 | 4 |
#46 | Germany | 50.2% | 1-3-0 | 4 |
#47 | United States | 50.2% | 1-3-0 | 4 |
#48 | United Kingdom | 50.2% | 1-3-0 | 4 |
#49 | Denmark | 50.1% | 3-4-1 | 8 |
#50 | Australia | 49.4% | 5-8-0 | 13 |
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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 (51.9%), 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)