Hala, Bladesaint of the Vow

Hala, Bladesaint of the Vow

Midrange
Difficulty:
2.0
Classic Constructed
Hala, Bladesaint of the Vow card

Classic Constructed Performance Summary

Overall Win Rate
41.0%
Total Matches
262
Record
W
105
L
151
D
6
Tournaments
29

Players ranked by Bayesian smoothed win rate with Hala, Bladesaint of the Vow in All Time

Total Pilots
14
Time Period
All Time
Last Updated
Jul 22, 2026 at 7:02 AM
Smoothed Win Rate
55.2%
Raw Win Rate
88.9%
Record
8-1-0
Events / Games
1 / 9
Smoothed Win Rate
53.5%
Raw Win Rate
69.2%
Record
9-4-0
Events / Games
1 / 13
United States
Smoothed Win Rate
51.5%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
United States
Smoothed Win Rate
51.5%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
Smoothed Win Rate
51.4%
Raw Win Rate
58.3%
Record
7-5-0
Events / Games
1 / 12
United States
Smoothed Win Rate
49.3%
Raw Win Rate
45.5%
Record
5-6-0
Events / Games
2 / 11
United States
Smoothed Win Rate
49.2%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
United States
Smoothed Win Rate
49.2%
Raw Win Rate
33.3%
Record
1-2-0
Events / Games
1 / 3
United States
Smoothed Win Rate
49.2%
Raw Win Rate
0.0%
Record
0-1-0
Events / Games
1 / 1
United States
Smoothed Win Rate
48.3%
Raw Win Rate
0.0%
Record
0-2-0
Events / Games
1 / 2
Indonesia
Smoothed Win Rate
48.3%
Raw Win Rate
0.0%
Record
0-2-0
Events / Games
1 / 2
United States
Smoothed Win Rate
47.9%
Raw Win Rate
38.5%
Record
5-8-0
Events / Games
2 / 13
United States
Smoothed Win Rate
47.6%
Raw Win Rate
20.0%
Record
1-4-0
Events / Games
1 / 5
United States
Smoothed Win Rate
47.0%
Raw Win Rate
25.0%
Record
2-5-1
Events / Games
1 / 8

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 (50.0%), 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)