Terra
Terra has a 51.4% win rate across 368 tracked Silver Age matches (data through October 2026).
Defensive
Difficulty:
2.5
Silver Age
All statistics and data on this page are for Silver Age format
Silver Age Performance Summary
Data through October 2026
W
187
L
177
D
4
Players ranked by Bayesian smoothed win rate with Terra in All Time
Total Pilots
43
Time Period
All Time
Data Through
October 2026
United States
Smoothed Win Rate
56.4%
Raw Win Rate
73.7%
Record
14-5-0
Events / Games
2 / 19
Australia
Smoothed Win Rate
55.9%
Raw Win Rate
68.0%
Record
17-8-0
Events / Games
3 / 25
United States
Smoothed Win Rate
53.5%
Raw Win Rate
66.7%
Record
8-4-0
Events / Games
2 / 12
#4 Bart de Jong
Netherlands
Smoothed Win Rate
53.4%
Raw Win Rate
64.3%
Record
9-5-0
Events / Games
1 / 14
#5 Adam Urban
Poland
Smoothed Win Rate
53.4%
Raw Win Rate
64.3%
Record
9-5-0
Events / Games
1 / 14
#6 Yu fan Liao
Taiwan
Smoothed Win Rate
53.3%
Raw Win Rate
62.5%
Record
10-6-0
Events / Games
3 / 16
#7 Jacob Neet
United States
Smoothed Win Rate
52.8%
Raw Win Rate
63.6%
Record
7-3-1
Events / Games
1 / 11
#8 John Cooper
United States
Smoothed Win Rate
52.8%
Raw Win Rate
61.5%
Record
8-5-0
Events / Games
2 / 13
Denmark
Smoothed Win Rate
52.4%
Raw Win Rate
56.5%
Record
13-10-0
Events / Games
4 / 23
#10 Michael Koch
Austria
Smoothed Win Rate
52.2%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
#11 Kaileb Shipman
United States
Smoothed Win Rate
52.2%
Raw Win Rate
62.5%
Record
5-3-0
Events / Games
1 / 8
#12 Brandon Coyle
United States
Smoothed Win Rate
52.0%
Raw Win Rate
57.1%
Record
8-6-0
Events / Games
3 / 14
#13 Jaap IJlst
Netherlands
Smoothed Win Rate
51.5%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#14 Donovan van Beek
Netherlands
Smoothed Win Rate
51.5%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#15 Lexiss Pong
Malaysia
Smoothed Win Rate
51.5%
Raw Win Rate
57.1%
Record
4-3-0
Events / Games
1 / 7
#16 Denis Gergov
United Kingdom
Smoothed Win Rate
51.4%
Raw Win Rate
53.8%
Record
7-6-0
Events / Games
1 / 13
#17 Ben Cabrelli
United Kingdom
Smoothed Win Rate
50.8%
Raw Win Rate
50.0%
Record
1-1-0
Events / Games
1 / 2
#18 Devin Simms
United States
Smoothed Win Rate
50.7%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#19 Ian Cannon
United States
Smoothed Win Rate
50.7%
Raw Win Rate
50.0%
Record
3-3-0
Events / Games
1 / 6
#20 Justin Kruft
Germany
Smoothed Win Rate
50.7%
Raw Win Rate
50.0%
Record
7-6-1
Events / Games
2 / 14
Netherlands
Smoothed Win Rate
50.6%
Raw Win Rate
50.0%
Record
8-8-0
Events / Games
2 / 16
#22 James Lewis
Australia
Smoothed Win Rate
50.0%
Raw Win Rate
42.9%
Record
3-4-0
Events / Games
2 / 7
#23 Jorgen Fleussu
Belgium
Smoothed Win Rate
50.0%
Raw Win Rate
42.9%
Record
3-3-1
Events / Games
1 / 7
#24 Hugo Platret
Netherlands
Smoothed Win Rate
50.0%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#25 Ryan Adshead
United Kingdom
Smoothed Win Rate
50.0%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#26 Jamie Alison
Denmark
Smoothed Win Rate
50.0%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#27 Jack Brewer
United Kingdom
Smoothed Win Rate
50.0%
Raw Win Rate
40.0%
Record
2-3-0
Events / Games
1 / 5
#28 Aaron Spierin
Ireland
Smoothed Win Rate
50.0%
Raw Win Rate
0.0%
Record
0-1-0
Events / Games
1 / 1
#29 Greg Gutierrez
United States
Smoothed Win Rate
50.0%
Raw Win Rate
0.0%
Record
0-1-0
Events / Games
1 / 1
#30 Timothy Pearse
United States
Smoothed Win Rate
49.2%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#31 Catherine Levine
United States
Smoothed Win Rate
49.2%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#32 Tony Gleeson
Ireland
Smoothed Win Rate
49.2%
Raw Win Rate
25.0%
Record
1-3-0
Events / Games
1 / 4
#33 Phillip Millwee
United States
Smoothed Win Rate
49.2%
Raw Win Rate
25.0%
Record
1-2-1
Events / Games
1 / 4
#34 Chad Garr
United States
Smoothed Win Rate
49.1%
Raw Win Rate
0.0%
Record
0-2-0
Events / Games
2 / 2
#35 Adrian Wilde
United Kingdom
Smoothed Win Rate
48.5%
Raw Win Rate
33.3%
Record
3-6-0
Events / Games
1 / 9
Germany
Smoothed Win Rate
48.5%
Raw Win Rate
28.6%
Record
2-5-0
Events / Games
1 / 7
#37 William Marshall
United States
Smoothed Win Rate
48.4%
Raw Win Rate
20.0%
Record
1-4-0
Events / Games
2 / 5
United States
Smoothed Win Rate
48.4%
Raw Win Rate
20.0%
Record
1-4-0
Events / Games
1 / 5
#39 Kobee Davis
United States
Smoothed Win Rate
48.4%
Raw Win Rate
20.0%
Record
1-4-0
Events / Games
1 / 5
#40 TUCKER CAMPBELL
United States
Smoothed Win Rate
48.4%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
Brazil
Smoothed Win Rate
48.4%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#42 Neal Blooflat
United States
Smoothed Win Rate
48.4%
Raw Win Rate
0.0%
Record
0-3-0
Events / Games
1 / 3
#43 David Pier
United States
Smoothed Win Rate
47.4%
Raw Win Rate
36.8%
Record
7-12-0
Events / Games
2 / 19
| Rank | Player | Win Rate | Record | Games |
|---|---|---|---|---|
#1 | United States | 56.4% | 14-5-0 | 19 |
#2 | Australia | 55.9% | 17-8-0 | 25 |
#3 | United States | 53.5% | 8-4-0 | 12 |
#4 | Netherlands | 53.4% | 9-5-0 | 14 |
#5 | Poland | 53.4% | 9-5-0 | 14 |
#6 | Taiwan | 53.3% | 10-6-0 | 16 |
#7 | United States | 52.8% | 7-3-1 | 11 |
#8 | United States | 52.8% | 8-5-0 | 13 |
#9 | Denmark | 52.4% | 13-10-0 | 23 |
#10 | Austria | 52.2% | 5-3-0 | 8 |
#11 | United States | 52.2% | 5-3-0 | 8 |
#12 | United States | 52.0% | 8-6-0 | 14 |
#13 | Netherlands | 51.5% | 4-3-0 | 7 |
#14 | Netherlands | 51.5% | 4-3-0 | 7 |
#15 | Malaysia | 51.5% | 4-3-0 | 7 |
#16 | United Kingdom | 51.4% | 7-6-0 | 13 |
#17 | United Kingdom | 50.8% | 1-1-0 | 2 |
#18 | United States | 50.7% | 3-3-0 | 6 |
#19 | United States | 50.7% | 3-3-0 | 6 |
#20 | Germany | 50.7% | 7-6-1 | 14 |
#21 | Netherlands | 50.6% | 8-8-0 | 16 |
#22 | Australia | 50.0% | 3-4-0 | 7 |
#23 | Belgium | 50.0% | 3-3-1 | 7 |
#24 | Netherlands | 50.0% | 2-3-0 | 5 |
#25 | United Kingdom | 50.0% | 2-3-0 | 5 |
#26 | Denmark | 50.0% | 2-3-0 | 5 |
#27 | United Kingdom | 50.0% | 2-3-0 | 5 |
#28 | Ireland | 50.0% | 0-1-0 | 1 |
#29 | United States | 50.0% | 0-1-0 | 1 |
#30 | United States | 49.2% | 1-3-0 | 4 |
#31 | United States | 49.2% | 1-3-0 | 4 |
#32 | Ireland | 49.2% | 1-3-0 | 4 |
#33 | United States | 49.2% | 1-2-1 | 4 |
#34 | United States | 49.1% | 0-2-0 | 2 |
#35 | United Kingdom | 48.5% | 3-6-0 | 9 |
#36 | Germany | 48.5% | 2-5-0 | 7 |
#37 | United States | 48.4% | 1-4-0 | 5 |
#38 | United States | 48.4% | 1-4-0 | 5 |
#39 | United States | 48.4% | 1-4-0 | 5 |
#40 | United States | 48.4% | 0-3-0 | 3 |
#41 | Brazil | 48.4% | 0-3-0 | 3 |
#42 | United States | 48.4% | 0-3-0 | 3 |
#43 | United States | 47.4% | 7-12-0 | 19 |
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 (50.8%), 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)