Pleiades
Pleiades has a 35.3% win rate across 138 tracked Silver Age matches (data through October 2026).
Board PresenceDefensive
Difficulty:
3.0
Silver Age
All statistics and data on this page are for Silver Age format
Silver Age Performance Summary
Data through October 2026
W
48
L
88
D
2
Players ranked by Bayesian smoothed win rate with Pleiades in All Time
Total Pilots
24
Time Period
All Time
Data Through
October 2026
#1 Caleb Jansen
United States
Smoothed Win Rate
38.4%
Raw Win Rate
60.0%
Record
6-4-0
Events / Games
1 / 10
#2 Mark Warren
United Kingdom
Smoothed Win Rate
37.7%
Raw Win Rate
50.0%
Record
7-7-0
Events / Games
2 / 14
United States
Smoothed Win Rate
36.6%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
#4 Jacob Smith
United States
Smoothed Win Rate
36.6%
Raw Win Rate
50.0%
Record
4-4-0
Events / Games
1 / 8
#5 Evan Brook
United States
Smoothed Win Rate
35.7%
Raw Win Rate
50.0%
Record
2-2-0
Events / Games
1 / 4
Portugal
Smoothed Win Rate
35.7%
Raw Win Rate
50.0%
Record
2-2-0
Events / Games
1 / 4
United States
Smoothed Win Rate
35.6%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
#8 Aaron Taylor
United Kingdom
Smoothed Win Rate
35.2%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#9 Cato DIrdal
Norway
Smoothed Win Rate
34.6%
Raw Win Rate
33.3%
Record
2-4-0
Events / Games
1 / 6
#10 Douglas Maclure
United States
Smoothed Win Rate
34.2%
Raw Win Rate
0.0%
Record
0-1-0
Events / Games
1 / 1
#11 Adam Heilbronn
United States
Smoothed Win Rate
34.2%
Raw Win Rate
0.0%
Record
0-1-0
Events / Games
1 / 1
#12 Michael Dahm
United States
Smoothed Win Rate
34.2%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#13 Paul Farnell
United Kingdom
Smoothed Win Rate
34.2%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#14 Ella Brown
United Kingdom
Smoothed Win Rate
34.2%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#15 Andrea Shubert
United States
Smoothed Win Rate
34.2%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#16 Felipe Loreto
Brazil
Smoothed Win Rate
34.1%
Raw Win Rate
28.6%
Record
2-3-2
Events / Games
1 / 7
#17 Jonathan Knapp
United States
Smoothed Win Rate
33.6%
Raw Win Rate
20.0%
Record
1-4-0
Events / Games
2 / 5
#18 Oliver Gehrig
Switzerland
Smoothed Win Rate
33.6%
Raw Win Rate
20.0%
Record
1-4-0
Events / Games
1 / 5
#19 Antonio Briola
Italy
Smoothed Win Rate
33.6%
Raw Win Rate
20.0%
Record
1-4-0
Events / Games
1 / 5
#20 Daniel Egbert
United States
Smoothed Win Rate
33.6%
Raw Win Rate
20.0%
Record
1-4-0
Events / Games
1 / 5
#21 Tom Cordrey
United Kingdom
Smoothed Win Rate
33.6%
Raw Win Rate
20.0%
Record
1-4-0
Events / Games
1 / 5
United States
Smoothed Win Rate
33.6%
Raw Win Rate
20.0%
Record
1-4-0
Events / Games
1 / 5
#23 Louis Ades
United States
Smoothed Win Rate
33.6%
Raw Win Rate
27.3%
Record
3-8-0
Events / Games
2 / 11
#24 Daniel Montoya
Mexico
Smoothed Win Rate
33.1%
Raw Win Rate
16.7%
Record
1-5-0
Events / Games
1 / 6
| Rank | Player | Win Rate | Record | Games |
|---|---|---|---|---|
#1 | United States | 38.4% | 6-4-0 | 10 |
#2 | United Kingdom | 37.7% | 7-7-0 | 14 |
#3 | United States | 36.6% | 4-4-0 | 8 |
#4 | United States | 36.6% | 4-4-0 | 8 |
#5 | United States | 35.7% | 2-2-0 | 4 |
#6 | Portugal | 35.7% | 2-2-0 | 4 |
#7 | United States | 35.6% | 3-4-0 | 7 |
#8 | United Kingdom | 35.2% | 2-3-0 | 5 |
#9 | Norway | 34.6% | 2-4-0 | 6 |
#10 | United States | 34.2% | 0-1-0 | 1 |
#11 | United States | 34.2% | 0-1-0 | 1 |
#12 | United States | 34.2% | 1-3-0 | 4 |
#13 | United Kingdom | 34.2% | 1-3-0 | 4 |
#14 | United Kingdom | 34.2% | 1-3-0 | 4 |
#15 | United States | 34.2% | 1-3-0 | 4 |
#16 | Brazil | 34.1% | 2-3-2 | 7 |
#17 | United States | 33.6% | 1-4-0 | 5 |
#18 | Switzerland | 33.6% | 1-4-0 | 5 |
#19 | Italy | 33.6% | 1-4-0 | 5 |
#20 | United States | 33.6% | 1-4-0 | 5 |
#21 | United Kingdom | 33.6% | 1-4-0 | 5 |
#22 | United States | 33.6% | 1-4-0 | 5 |
#23 | United States | 33.6% | 3-8-0 | 11 |
#24 | Mexico | 33.1% | 1-5-0 | 6 |
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 (34.8%), 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)