Yoji

Royal Protector

Co-operativeDefensive

Difficulty:

1.5

Blitz

All statistics and data on this page are for Blitz format

Blitz Performance Summary

Overall Win Rate

57.6%

Total Matches

Record

Tournaments

Players ranked by Bayesian smoothed win rate with Yoji 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 21, 2026 at 9:24 PM

#1 Cooper Templeton

United States

Smoothed Win Rate

56.2%

Raw Win Rate

77.8%

Record

7-2-0

Events / Games

1 / 9

#2 Taiki Bamba

Japan

Smoothed Win Rate

55.6%

Raw Win Rate

75.0%

Record

6-2-0

Events / Games

1 / 8

#3 Pat Eshghy

United States

Smoothed Win Rate

54.7%

Raw Win Rate

66.7%

Record

6-3-0

Events / Games

1 / 9

#4 Timothy Bunn

United States

Smoothed Win Rate

53.7%

Raw Win Rate

100.0%

Record

1-0-0

Events / Games

1 / 1

#5 Zak Cargin

United States

Smoothed Win Rate

53.2%

Raw Win Rate

55.6%

Record

5-4-0

Events / Games

1 / 9

#6 Xincheng Hou

Taiwan

Smoothed Win Rate

52.6%

Raw Win Rate

50.0%

Record

3-2-1

Events / Games

1 / 6

#7 Dylan Myers

United States

Smoothed Win Rate

52.6%

Raw Win Rate

50.0%

Record

3-2-1

Events / Games

1 / 6

#8 Sean Fox

United States

Smoothed Win Rate

51.9%

Raw Win Rate

40.0%

Record

2-3-0

Events / Games

1 / 5

#9 Justin Rowland

United States

Smoothed Win Rate

51.7%

Raw Win Rate

44.4%

Record

4-5-0

Events / Games

1 / 9

#10 Bryson Peek

United States

Smoothed Win Rate

50.2%

Raw Win Rate

33.3%

Record

3-5-1

Events / Games

1 / 9

#11 Phillip Bradford

United States

Smoothed Win Rate

49.5%

Raw Win Rate

37.5%

Record

6-9-1

Events / Games

2 / 16

Rank	Player	Win Rate	Raw %	Record	Events	Games
#1	Cooper Templeton United States	56.2%	77.8%	7-2-0	1	9
#2	Taiki Bamba Japan	55.6%	75.0%	6-2-0	1	8
#3	Pat Eshghy United States	54.7%	66.7%	6-3-0	1	9
#4	Timothy Bunn United States	53.7%	100.0%	1-0-0	1	1
#5	Zak Cargin United States	53.2%	55.6%	5-4-0	1	9
#6	Xincheng Hou Taiwan	52.6%	50.0%	3-2-1	1	6
#7	Dylan Myers United States	52.6%	50.0%	3-2-1	1	6
#8	Sean Fox United States	51.9%	40.0%	2-3-0	1	5
#9	Justin Rowland United States	51.7%	44.4%	4-5-0	1	9
#10	Bryson Peek United States	50.2%	33.3%	3-5-1	1	9
#11	Phillip Bradford United States	49.5%	37.5%	6-9-1	2	16

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 (52.9%), 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)