Gravy Bones

Board PresenceMidrange

Difficulty:

4.5

Silver Age

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

Silver Age Performance Summary

Overall Win Rate

40.3%

Total Matches

Record

Tournaments

Players ranked by Bayesian smoothed win rate with Gravy Bones 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 26, 2026 at 5:24 PM

#1 Sebastian Kleiner

Germany

Smoothed Win Rate

42.1%

Raw Win Rate

50.0%

Record

9-9-0

Events / Games

2 / 18

#2 Lucas Macorano

Germany

Smoothed Win Rate

41.9%

Raw Win Rate

50.0%

Record

8-8-0

Events / Games

3 / 16

#3 Nick Gabler

United States

Smoothed Win Rate

41.6%

Raw Win Rate

57.1%

Record

4-3-0

Events / Games

1 / 7

#4 Brandon Robinson

United States

Smoothed Win Rate

39.4%

Raw Win Rate

33.3%

Record

1-2-0

Events / Games

1 / 3

#5 Jiahui Wu

China

Smoothed Win Rate

39.4%

Raw Win Rate

33.3%

Record

1-2-0

Events / Games

1 / 3

#6 Benjamin Clifford

United States

Smoothed Win Rate

39.0%

Raw Win Rate

0.0%

Record

0-1-0

Events / Games

1 / 1

#7 Austin Somers

Japan

Smoothed Win Rate

38.8%

Raw Win Rate

25.0%

Record

1-3-0

Events / Games

1 / 4

#8 Ryan Cheong

Singapore

Smoothed Win Rate

38.5%

Raw Win Rate

28.6%

Record

2-4-1

Events / Games

1 / 7

#9 Martin Kristoffersson

Sweden

Smoothed Win Rate

38.4%

Raw Win Rate

0.0%

Record

0-2-0

Events / Games

1 / 2

#10 Jordan Price

United States

Smoothed Win Rate

38.4%

Raw Win Rate

0.0%

Record

0-2-0

Events / Games

1 / 2

#11 Colby Gray

United States

Smoothed Win Rate

38.1%

Raw Win Rate

20.0%

Record

1-4-0

Events / Games

1 / 5

Rank	Player	Win Rate	Raw %	Record	Events	Games
#1	Sebastian Kleiner Germany	42.1%	50.0%	9-9-0	2	18
#2	Lucas Macorano Germany	41.9%	50.0%	8-8-0	3	16
#3	Nick Gabler United States	41.6%	57.1%	4-3-0	1	7
#4	Brandon Robinson United States	39.4%	33.3%	1-2-0	1	3
#5	Jiahui Wu China	39.4%	33.3%	1-2-0	1	3
#6	Benjamin Clifford United States	39.0%	0.0%	0-1-0	1	1
#7	Austin Somers Japan	38.8%	25.0%	1-3-0	1	4
#8	Ryan Cheong Singapore	38.5%	28.6%	2-4-1	1	7
#9	Martin Kristoffersson Sweden	38.4%	0.0%	0-2-0	1	2
#10	Jordan Price United States	38.4%	0.0%	0-2-0	1	2
#11	Colby Gray United States	38.1%	20.0%	1-4-0	1	5

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 (39.7%), 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)