Oscilio, Forked Continuum
Oscilio, Forked Continuum has a 41.4% win rate across 147 tracked Classic Constructed matches (data through October 2026).
ComboMidrange
Difficulty:
3.5
Classic Constructed
Classic Constructed Performance Summary
Data through October 2026
W
60
L
85
D
2
Players ranked by Bayesian smoothed win rate with Oscilio, Forked Continuum in All Time
Total Pilots
17
Time Period
All Time
Data Through
October 2026
Mexico
Smoothed Win Rate
48.0%
Raw Win Rate
63.6%
Record
7-4-0
Events / Games
1 / 11
Japan
Smoothed Win Rate
47.4%
Raw Win Rate
58.3%
Record
7-5-0
Events / Games
1 / 12
#3 Evan Ford
United States
Smoothed Win Rate
46.6%
Raw Win Rate
54.5%
Record
6-4-1
Events / Games
1 / 11
Mexico
Smoothed Win Rate
46.6%
Raw Win Rate
54.5%
Record
6-5-0
Events / Games
1 / 11
Japan
Smoothed Win Rate
46.4%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
Japan
Smoothed Win Rate
46.4%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#7 Michael Feng
United States
Smoothed Win Rate
45.6%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#8 藤田 隼輔
Japan
Smoothed Win Rate
45.6%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#9 Eugene Neo
Singapore
Smoothed Win Rate
44.9%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
1 / 7
#10 Yoshiaki Okamoto
Japan
Smoothed Win Rate
44.7%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#11 三輪 佑樹
Japan
Smoothed Win Rate
43.9%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
United States
Smoothed Win Rate
43.9%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#13 David Otte
United States
Smoothed Win Rate
43.9%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
Mexico
Smoothed Win Rate
43.4%
Raw Win Rate
28.6%
Record
2-5-0
Events / Games
1 / 7
#15 Yuki Yokoyama
Japan
Smoothed Win Rate
43.2%
Raw Win Rate
20.0%
Record
1-4-0
Events / Games
1 / 5
United States
Smoothed Win Rate
42.9%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#17 優吾 中村
Japan
Smoothed Win Rate
42.9%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
| Rank | Player | Win Rate | Record | Games |
|---|---|---|---|---|
#1 | Mexico | 48.0% | 7-4-0 | 11 |
#2 | Japan | 47.4% | 7-5-0 | 12 |
#3 | United States | 46.6% | 6-4-1 | 11 |
#4 | Mexico | 46.6% | 6-5-0 | 11 |
#5 | Japan | 46.4% | 4-3-0 | 7 |
#6 | Japan | 46.4% | 4-3-0 | 7 |
#7 | United States | 45.6% | 3-3-0 | 6 |
#8 | Japan | 45.6% | 3-3-0 | 6 |
#9 | Singapore | 44.9% | 3-4-0 | 7 |
#10 | Japan | 44.7% | 2-3-0 | 5 |
#11 | Japan | 43.9% | 1-3-0 | 4 |
#12 | United States | 43.9% | 1-3-0 | 4 |
#13 | United States | 43.9% | 1-3-0 | 4 |
#14 | 43.4% | 2-5-0 | 7 | |
#15 | Japan | 43.2% | 1-4-0 | 5 |
#16 | United States | 42.9% | 0-3-0 | 3 |
#17 | Japan | 42.9% | 0-3-0 | 3 |
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 (45.1%), 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)