Oscilio

AggressiveCombo

Difficulty:

5.0

Silver Age

All statistics and data on this page are for Silver Age format

Silver Age Performance Summary

Overall Win Rate

54.4%

Total Matches

286

Record

155

130

Tournaments

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

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

Total Pilots

Time Period

All Time

Last Updated

Jul 25, 2026 at 4:27 PM

#1 Matthew Foulkes

United Kingdom

Smoothed Win Rate

58.0%

Raw Win Rate

80.0%

Record

8-2-0

Events / Games

1 / 10

#2 Brodie Spurlock

United States

Smoothed Win Rate

58.0%

Raw Win Rate

80.0%

Record

8-2-0

Events / Games

1 / 10

#3 Michael Feng

United States

Smoothed Win Rate

58.0%

Raw Win Rate

80.0%

Record

8-2-0

Events / Games

1 / 10

#4 Casey Schaffer

United States

Smoothed Win Rate

57.5%

Raw Win Rate

71.4%

Record

10-4-0

Events / Games

2 / 14

#5 Justin Cu

Philippines

Smoothed Win Rate

56.6%

Raw Win Rate

64.7%

Record

11-6-0

Events / Games

2 / 17

#6 Tommaso Viscido

Italy

Smoothed Win Rate

56.5%

Raw Win Rate

70.0%

Record

7-3-0

Events / Games

1 / 10

#7 Christian Vitanza

United States

Smoothed Win Rate

56.2%

Raw Win Rate

64.3%

Record

9-5-0

Events / Games

2 / 14

#8 Chandler To

United States

Smoothed Win Rate

55.9%

Raw Win Rate

66.7%

Record

6-3-0

Events / Games

1 / 9

#9 Seth Clark

United States

Smoothed Win Rate

55.9%

Raw Win Rate

66.7%

Record

6-3-0

Events / Games

1 / 9

#10 Jacob Neet

United States

Smoothed Win Rate

55.9%

Raw Win Rate

66.7%

Record

6-3-0

Events / Games

1 / 9

#11 Jared Contaldi

United States

Smoothed Win Rate

55.9%

Raw Win Rate

66.7%

Record

6-3-0

Events / Games

1 / 9

#12 Henry Gomez

United States

Smoothed Win Rate

55.4%

Raw Win Rate

66.7%

Record

4-2-0

Events / Games

1 / 6

#13 Patrick Darge

New Zealand

Smoothed Win Rate

55.4%

Raw Win Rate

66.7%

Record

4-2-0

Events / Games

1 / 6

#14 Tyler Goodridge

United States

Smoothed Win Rate

54.5%

Raw Win Rate

57.1%

Record

4-3-0

Events / Games

1 / 7

#15 Tommy Buljan

United States

Smoothed Win Rate

54.5%

Raw Win Rate

57.1%

Record

4-3-0

Events / Games

1 / 7

#16 suk kyo suh

South Korea

Smoothed Win Rate

54.5%

Raw Win Rate

57.1%

Record

4-3-0

Events / Games

1 / 7

#17 Suryan Bhatia

United States

Smoothed Win Rate

54.5%

Raw Win Rate

57.1%

Record

4-3-0

Events / Games

1 / 7

#18 BENJAMIN ALANIZ

United States

Smoothed Win Rate

54.5%

Raw Win Rate

57.1%

Record

4-3-0

Events / Games

1 / 7

#19 Kent Summerour

United States

Smoothed Win Rate

53.9%

Raw Win Rate

50.0%

Record

2-2-0

Events / Games

1 / 4

#20 Amanda Sullender

United States

Smoothed Win Rate

53.9%

Raw Win Rate

50.0%

Record

2-2-0

Events / Games

1 / 4

#21 三輪佑樹

Japan

Smoothed Win Rate

53.9%

Raw Win Rate

50.0%

Record

2-2-0

Events / Games

1 / 4

#22 裕夢小畑

Japan

Smoothed Win Rate

53.9%

Raw Win Rate

50.0%

Record

2-2-0

Events / Games

1 / 4

#23 Luke Magnuson

United States

Smoothed Win Rate

53.8%

Raw Win Rate

50.0%

Record

3-3-0

Events / Games

1 / 6

#24 Dante Irvine

United States

Smoothed Win Rate

53.4%

Raw Win Rate

50.0%

Record

7-7-0

Events / Games

2 / 14

#25 Cody Bavin

United States

Smoothed Win Rate

53.3%

Raw Win Rate

0.0%

Record

0-1-0

Events / Games

1 / 1

#26 Wesley Dong

United States

Smoothed Win Rate

53.2%

Raw Win Rate

33.3%

Record

1-2-0

Events / Games

1 / 3

#27 nathan lapham

United States

Smoothed Win Rate

53.2%

Raw Win Rate

33.3%

Record

1-2-0

Events / Games

1 / 3

#28 kosei chetanna

United States

Smoothed Win Rate

53.2%

Raw Win Rate

33.3%

Record

1-2-0

Events / Games

1 / 3

#29 Ben Yoo

United States

Smoothed Win Rate

53.2%

Raw Win Rate

33.3%

Record

1-2-0

Events / Games

1 / 3

#30 尚規石坂

Japan

Smoothed Win Rate

53.1%

Raw Win Rate

40.0%

Record

2-3-0

Events / Games

1 / 5

#31 Geoffrey Hunt

United States

Smoothed Win Rate

53.1%

Raw Win Rate

40.0%

Record

2-3-0

Events / Games

1 / 5

#32 Alex Slotnick

United States

Smoothed Win Rate

53.0%

Raw Win Rate

42.9%

Record

3-4-0

Events / Games

1 / 7

#33 Naoki Sato

Japan

Smoothed Win Rate

53.0%

Raw Win Rate

42.9%

Record

3-4-0

Events / Games

1 / 7

#34 Albert Irvine

United States

Smoothed Win Rate

52.8%

Raw Win Rate

45.5%

Record

5-5-1

Events / Games

2 / 11

#35 Dan Mui

United States

Smoothed Win Rate

52.4%

Raw Win Rate

0.0%

Record

0-2-0

Events / Games

1 / 2

#36 Ernst Füllemann

Switzerland

Smoothed Win Rate

52.4%

Raw Win Rate

0.0%

Record

0-2-0

Events / Games

1 / 2

#37 Natalie Birch

United States

Smoothed Win Rate

52.3%

Raw Win Rate

25.0%

Record

1-3-0

Events / Games

1 / 4

#38 Dexter Simmons

United States

Smoothed Win Rate

51.5%

Raw Win Rate

0.0%

Record

0-3-0

Events / Games

1 / 3

#39 Radoslav Ogoryalkov

United Kingdom

Smoothed Win Rate

51.5%

Raw Win Rate

0.0%

Record

0-3-0

Events / Games

1 / 3

#40 Saori TOYOIZUMI

Japan

Smoothed Win Rate

51.4%

Raw Win Rate

28.6%

Record

2-5-0

Events / Games

1 / 7

#41 Rafael Martin

United States

Smoothed Win Rate

50.7%

Raw Win Rate

0.0%

Record

0-4-0

Events / Games

1 / 4

#42 Alexej Vollmer

Germany

Smoothed Win Rate

49.9%

Raw Win Rate

22.2%

Record

2-7-0

Events / Games

1 / 9

Rank	Player	Win Rate	Raw %	Record	Events	Games
#1	Matthew Foulkes United Kingdom	58.0%	80.0%	8-2-0	1	10
#2	Brodie Spurlock United States	58.0%	80.0%	8-2-0	1	10
#3	Michael Feng United States	58.0%	80.0%	8-2-0	1	10
#4	Casey Schaffer United States	57.5%	71.4%	10-4-0	2	14
#5	Justin Cu Philippines	56.6%	64.7%	11-6-0	2	17
#6	Tommaso Viscido Italy	56.5%	70.0%	7-3-0	1	10
#7	Christian Vitanza United States	56.2%	64.3%	9-5-0	2	14
#8	Chandler To United States	55.9%	66.7%	6-3-0	1	9
#9	Seth Clark United States	55.9%	66.7%	6-3-0	1	9
#10	Jacob Neet United States	55.9%	66.7%	6-3-0	1	9
#11	Jared Contaldi United States	55.9%	66.7%	6-3-0	1	9
#12	Henry Gomez United States	55.4%	66.7%	4-2-0	1	6
#13	Patrick Darge New Zealand	55.4%	66.7%	4-2-0	1	6
#14	Tyler Goodridge United States	54.5%	57.1%	4-3-0	1	7
#15	Tommy Buljan United States	54.5%	57.1%	4-3-0	1	7
#16	suk kyo suh South Korea	54.5%	57.1%	4-3-0	1	7
#17	Suryan Bhatia United States	54.5%	57.1%	4-3-0	1	7
#18	BENJAMIN ALANIZ United States	54.5%	57.1%	4-3-0	1	7
#19	Kent Summerour United States	53.9%	50.0%	2-2-0	1	4
#20	Amanda Sullender United States	53.9%	50.0%	2-2-0	1	4
#21	三輪佑樹 Japan	53.9%	50.0%	2-2-0	1	4
#22	裕夢小畑 Japan	53.9%	50.0%	2-2-0	1	4
#23	Luke Magnuson United States	53.8%	50.0%	3-3-0	1	6
#24	Dante Irvine United States	53.4%	50.0%	7-7-0	2	14
#25	Cody Bavin United States	53.3%	0.0%	0-1-0	1	1
#26	Wesley Dong United States	53.2%	33.3%	1-2-0	1	3
#27	nathan lapham United States	53.2%	33.3%	1-2-0	1	3
#28	kosei chetanna United States	53.2%	33.3%	1-2-0	1	3
#29	Ben Yoo United States	53.2%	33.3%	1-2-0	1	3
#30	尚規石坂 Japan	53.1%	40.0%	2-3-0	1	5
#31	Geoffrey Hunt United States	53.1%	40.0%	2-3-0	1	5
#32	Alex Slotnick United States	53.0%	42.9%	3-4-0	1	7
#33	Naoki Sato Japan	53.0%	42.9%	3-4-0	1	7
#34	Albert Irvine United States	52.8%	45.5%	5-5-1	2	11
#35	Dan Mui United States	52.4%	0.0%	0-2-0	1	2
#36	Ernst Füllemann Switzerland	52.4%	0.0%	0-2-0	1	2
#37	Natalie Birch United States	52.3%	25.0%	1-3-0	1	4
#38	Dexter Simmons United States	51.5%	0.0%	0-3-0	1	3
#39	Radoslav Ogoryalkov United Kingdom	51.5%	0.0%	0-3-0	1	3
#40	Saori TOYOIZUMI Japan	51.4%	28.6%	2-5-0	1	7
#41	Rafael Martin United States	50.7%	0.0%	0-4-0	1	4
#42	Alexej Vollmer Germany	49.9%	22.2%	2-7-0	1	9

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 (54.2%), giving more weight to actual results as sample size increases.

Formula: Smoothed Win Rate = (Wins + 58 × Hero Average) ÷ (Games + 58)
W = 58 (median games played in this period — self-calibrates with the dataset)