Betsy

Skin in the Game

Betsy has a 50.3% win rate across 675 tracked Classic Constructed matches (data through October 2026).

Defensive

Difficulty:

2.0

Classic Constructed

Classic Constructed Performance Summary

Data through October 2026

Overall Win Rate

50.3%

Total Matches

675

Record

335

331

Tournaments

Players ranked by Bayesian smoothed win rate with Betsy in All Time

Time Period: Last 30 Days Last 3 Months Last 6 Months Last Year

Total Pilots

Time Period

All Time

Data Through

October 2026

#1 Michael Metallo

Canada

Smoothed Win Rate

57.2%

Raw Win Rate

80.0%

Record

12-3-0

Events / Games

1 / 15

#2 Jamie Foster

United States

Smoothed Win Rate

55.3%

Raw Win Rate

75.0%

Record

9-3-0

Events / Games

1 / 12

#3 Dagan White

United States

Smoothed Win Rate

54.9%

Raw Win Rate

66.7%

Record

12-6-0

Events / Games

2 / 18

#4 Jonathan Magnuson

United States

Smoothed Win Rate

54.7%

Raw Win Rate

72.7%

Record

8-3-0

Events / Games

1 / 11

#5 David Lee

United States

Smoothed Win Rate

54.6%

Raw Win Rate

69.2%

Record

9-4-0

Events / Games

1 / 13

#6 Masay Toda

Japan

Smoothed Win Rate

54.2%

Raw Win Rate

59.4%

Record

19-13-0

Events / Games

4 / 32

#7 Bryce Stroyek

United States

Smoothed Win Rate

54.1%

Raw Win Rate

70.0%

Record

7-3-0

Events / Games

1 / 10

#8 KOHEI TAKANO

Japan

Smoothed Win Rate

53.9%

Raw Win Rate

60.0%

Record

15-10-0

Events / Games

2 / 25

#9 Caleb Hall

United States

Smoothed Win Rate

53.5%

Raw Win Rate

71.4%

Record

5-2-0

Events / Games

1 / 7

#10 Jack Bradbury

United Kingdom

Smoothed Win Rate

53.3%

Raw Win Rate

63.6%

Record

7-4-0

Events / Games

1 / 11

#11 Florin-Cristian Loghin

Austria

Smoothed Win Rate

53.2%

Raw Win Rate

61.5%

Record

8-5-0

Events / Games

2 / 13

#12 Gianluigi Lia

Italy

Smoothed Win Rate

53.2%

Raw Win Rate

61.5%

Record

8-4-1

Events / Games

1 / 13

#13 Zachary Wallach

United States

Smoothed Win Rate

53.2%

Raw Win Rate

61.5%

Record

8-4-1

Events / Games

1 / 13

#14 Diego Paoletti

Italy

Smoothed Win Rate

52.7%

Raw Win Rate

62.5%

Record

5-3-0

Events / Games

1 / 8

#15 Garrett Johnson

United States

Smoothed Win Rate

52.6%

Raw Win Rate

60.0%

Record

6-4-0

Events / Games

1 / 10

#16 BRAD ALLRED

United States

Smoothed Win Rate

52.5%

Raw Win Rate

58.3%

Record

7-5-0

Events / Games

1 / 12

#17 Luke Shinn

United States

Smoothed Win Rate

52.3%

Raw Win Rate

55.0%

Record

11-9-0

Events / Games

3 / 20

#18 Bryan Knecht

United States

Smoothed Win Rate

52.0%

Raw Win Rate

60.0%

Record

3-2-0

Events / Games

1 / 5

#19 Edward Pudim

United States

Smoothed Win Rate

52.0%

Raw Win Rate

60.0%

Record

3-2-0

Events / Games

1 / 5

#20 Romar Richardson

United States

Smoothed Win Rate

52.0%

Raw Win Rate

60.0%

Record

3-2-0

Events / Games

1 / 5

#21 Daniel Winning

United Kingdom

Smoothed Win Rate

52.0%

Raw Win Rate

57.1%

Record

4-3-0

Events / Games

1 / 7

#22 Daniel Mckinlay

United Kingdom

Smoothed Win Rate

52.0%

Raw Win Rate

57.1%

Record

4-3-0

Events / Games

1 / 7

#23 Erika Forslöf

Sweden

Smoothed Win Rate

52.0%

Raw Win Rate

57.1%

Record

4-3-0

Events / Games

1 / 7

#24 Shai Edginton

United Kingdom

Smoothed Win Rate

52.0%

Raw Win Rate

57.1%

Record

4-3-0

Events / Games

1 / 7

#25 Tomotsugu Kikuta

Japan

Smoothed Win Rate

52.0%

Raw Win Rate

57.1%

Record

4-3-0

Events / Games

1 / 7

#26 Kenneth Lyle

United States

Smoothed Win Rate

52.0%

Raw Win Rate

57.1%

Record

4-3-0

Events / Games

1 / 7

#27 Linnea Söderlund

Finland

Smoothed Win Rate

52.0%

Raw Win Rate

57.1%

Record

4-3-0

Events / Games

1 / 7

#28 Yu fan Liao

Taiwan

Smoothed Win Rate

51.9%

Raw Win Rate

55.6%

Record

5-4-0

Events / Games

1 / 9

#29 Andrew Rothermel

United States

Smoothed Win Rate

51.9%

Raw Win Rate

55.6%

Record

5-3-1

Events / Games

1 / 9

#30 Dennis Krstic

Germany

Smoothed Win Rate

51.9%

Raw Win Rate

54.5%

Record

6-5-0

Events / Games

1 / 11

#31 Victor Alfonso García Ramos

Mexico

Smoothed Win Rate

51.9%

Raw Win Rate

54.5%

Record

6-5-0

Events / Games

1 / 11

#32 Bailey Kehret

United States

Smoothed Win Rate

51.2%

Raw Win Rate

50.0%

Record

3-3-0

Events / Games

1 / 6

#33 Ricardo Manrique

Germany

Smoothed Win Rate

51.2%

Raw Win Rate

50.0%

Record

3-3-0

Events / Games

1 / 6

#34 大和宮脇

Japan

Smoothed Win Rate

51.2%

Raw Win Rate

50.0%

Record

3-3-0

Events / Games

1 / 6

#35 Antonio Briola

Italy

Smoothed Win Rate

51.2%

Raw Win Rate

50.0%

Record

4-4-0

Events / Games

1 / 8

#36 nathan lapham

United States

Smoothed Win Rate

51.2%

Raw Win Rate

50.0%

Record

4-4-0

Events / Games

1 / 8

#37 Boris Melnykov

Czech Republic

Smoothed Win Rate

51.2%

Raw Win Rate

50.0%

Record

4-4-0

Events / Games

1 / 8

#38 Eli Campos

Mexico

Smoothed Win Rate

51.2%

Raw Win Rate

50.0%

Record

5-5-0

Events / Games

1 / 10

#39 Joe Ellis

United States

Smoothed Win Rate

50.5%

Raw Win Rate

0.0%

Record

0-1-0

Events / Games

1 / 1

#40 Tony Nguyen

United States

Smoothed Win Rate

50.5%

Raw Win Rate

0.0%

Record

0-1-0

Events / Games

1 / 1

#41 Gaël Dorckel

France

Smoothed Win Rate

50.5%

Raw Win Rate

33.3%

Record

1-2-0

Events / Games

1 / 3

#42 Nick Soini

United States

Smoothed Win Rate

50.5%

Raw Win Rate

33.3%

Record

1-2-0

Events / Games

1 / 3

#43 Colton Branch

United States

Smoothed Win Rate

50.5%

Raw Win Rate

33.3%

Record

1-2-0

Events / Games

1 / 3

#44 Chard Tan

Philippines

Smoothed Win Rate

50.5%

Raw Win Rate

40.0%

Record

2-3-0

Events / Games

1 / 5

#45 Sebastian Fauth

Germany

Smoothed Win Rate

50.5%

Raw Win Rate

40.0%

Record

2-3-0

Events / Games

1 / 5

#46 Randall Sims

United States

Smoothed Win Rate

50.5%

Raw Win Rate

40.0%

Record

2-2-1

Events / Games

1 / 5

#47 Ove Hasselhorst

Germany

Smoothed Win Rate

50.5%

Raw Win Rate

40.0%

Record

2-2-1

Events / Games

1 / 5

#48 Apsalar Johanna Barkemeyer

Germany

Smoothed Win Rate

50.5%

Raw Win Rate

40.0%

Record

2-3-0

Events / Games

1 / 5

#49 Igor Wesołowski

Poland

Smoothed Win Rate

50.5%

Raw Win Rate

42.9%

Record

3-4-0

Events / Games

1 / 7

#50 David Dandikar

United States

Smoothed Win Rate

50.5%

Raw Win Rate

42.9%

Record

3-3-1

Events / Games

1 / 7

Rank	Player	Win Rate	Raw %	Record	Events	Games
#1	Michael Metallo Canada	57.2%	80.0%	12-3-0	1	15
#2	Jamie Foster United States	55.3%	75.0%	9-3-0	1	12
#3	Dagan White United States	54.9%	66.7%	12-6-0	2	18
#4	Jonathan Magnuson United States	54.7%	72.7%	8-3-0	1	11
#5	David Lee United States	54.6%	69.2%	9-4-0	1	13
#6	Masay Toda Japan	54.2%	59.4%	19-13-0	4	32
#7	Bryce Stroyek United States	54.1%	70.0%	7-3-0	1	10
#8	KOHEI TAKANO Japan	53.9%	60.0%	15-10-0	2	25
#9	Caleb Hall United States	53.5%	71.4%	5-2-0	1	7
#10	Jack Bradbury United Kingdom	53.3%	63.6%	7-4-0	1	11
#11	Florin-Cristian Loghin Austria	53.2%	61.5%	8-5-0	2	13
#12	Gianluigi Lia Italy	53.2%	61.5%	8-4-1	1	13
#13	Zachary Wallach United States	53.2%	61.5%	8-4-1	1	13
#14	Diego Paoletti Italy	52.7%	62.5%	5-3-0	1	8
#15	Garrett Johnson United States	52.6%	60.0%	6-4-0	1	10
#16	BRAD ALLRED United States	52.5%	58.3%	7-5-0	1	12
#17	Luke Shinn United States	52.3%	55.0%	11-9-0	3	20
#18	Bryan Knecht United States	52.0%	60.0%	3-2-0	1	5
#19	Edward Pudim United States	52.0%	60.0%	3-2-0	1	5
#20	Romar Richardson United States	52.0%	60.0%	3-2-0	1	5
#21	Daniel Winning United Kingdom	52.0%	57.1%	4-3-0	1	7
#22	Daniel Mckinlay United Kingdom	52.0%	57.1%	4-3-0	1	7
#23	Erika Forslöf Sweden	52.0%	57.1%	4-3-0	1	7
#24	Shai Edginton United Kingdom	52.0%	57.1%	4-3-0	1	7
#25	Tomotsugu Kikuta Japan	52.0%	57.1%	4-3-0	1	7
#26	Kenneth Lyle United States	52.0%	57.1%	4-3-0	1	7
#27	Linnea Söderlund Finland	52.0%	57.1%	4-3-0	1	7
#28	Yu fan Liao Taiwan	51.9%	55.6%	5-4-0	1	9
#29	Andrew Rothermel United States	51.9%	55.6%	5-3-1	1	9
#30	Dennis Krstic Germany	51.9%	54.5%	6-5-0	1	11
#31	Victor Alfonso García Ramos Mexico	51.9%	54.5%	6-5-0	1	11
#32	Bailey Kehret United States	51.2%	50.0%	3-3-0	1	6
#33	Ricardo Manrique Germany	51.2%	50.0%	3-3-0	1	6
#34	大和宮脇 Japan	51.2%	50.0%	3-3-0	1	6
#35	Antonio Briola Italy	51.2%	50.0%	4-4-0	1	8
#36	nathan lapham United States	51.2%	50.0%	4-4-0	1	8
#37	Boris Melnykov Czech Republic	51.2%	50.0%	4-4-0	1	8
#38	Eli Campos Mexico	51.2%	50.0%	5-5-0	1	10
#39	Joe Ellis United States	50.5%	0.0%	0-1-0	1	1
#40	Tony Nguyen United States	50.5%	0.0%	0-1-0	1	1
#41	Gaël Dorckel France	50.5%	33.3%	1-2-0	1	3
#42	Nick Soini United States	50.5%	33.3%	1-2-0	1	3
#43	Colton Branch United States	50.5%	33.3%	1-2-0	1	3
#44	Chard Tan Philippines	50.5%	40.0%	2-3-0	1	5
#45	Sebastian Fauth Germany	50.5%	40.0%	2-3-0	1	5
#46	Randall Sims United States	50.5%	40.0%	2-2-1	1	5
#47	Ove Hasselhorst Germany	50.5%	40.0%	2-2-1	1	5
#48	Apsalar Johanna Barkemeyer Germany	50.5%	40.0%	2-3-0	1	5
#49	Igor Wesołowski Poland	50.5%	42.9%	3-4-0	1	7
#50	David Dandikar United States	50.5%	42.9%	3-3-1	1	7

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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 (51.4%), 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)