Team Unique on CS:GO
Team Unique
-
Kazakhstan
-
-
-
$ 89021
194
Win
183
Lose
51%
Win Rate
-
Rating
Unique Roster
Unique Achievements
Place | Date | Tournament | Prize |
---|---|---|---|
1st |
03.04.22 | $ 1 500 | |
3rd |
02.02.22 | $ 2 000 | |
1st |
25.12.21 | $ 2 307 | |
17
|
15.12.21 | - | |
5
|
05.12.21 | $ 625 | |
6
|
01.12.21 | $ 2 000 | |
6
|
01.12.21 | $ 3 000 | |
1st |
21.11.21 | $ 1 000 | |
9
|
09.11.21 | $ 5 000 | |
2nd |
08.11.21 | $ 1 000 | |
1st |
01.11.21 | $ 10 000 |
Other players of Unique Team
Recent Unique matches at CS:GO
Date | Rival | Score | Tournament | Date / Results | |
---|---|---|---|---|---|
19.04.22 |
Unique
Team Unique |
0
:
2
|
PGL Major Antwerp 2022 |
Lose
|
|
18.04.22 |
Unique
Team Unique |
2
:
1
|
PGL Major Antwerp 2022 |
Win
|
|
17.04.22 |
Unique
Team Unique |
0
:
1
|
PGL Major Antwerp 2022 |
Lose
|
|
17.04.22 |
Unique
Team Unique |
0
:
1
|
PGL Major Antwerp 2022 |
Lose
|
|
03.04.22 |
Unique
Team Unique |
2
:
0
|
FRAG S8 |
Win
|
|
02.04.22 |
Unique
Team Unique |
2
:
1
|
FRAG S8 |
Win
|
|
01.04.22 |
Unique
Team Unique |
2
:
0
|
FRAG S8 |
Win
|
|
14.03.22 |
Unique
Team Unique |
1
:
2
|
TPB S1 |
Lose
|
|
04.03.22 |
Unique
Team Unique |
0
:
1
|
PGL Major Antwerp 2022 |
Lose
|
|
04.03.22 |
Unique
Team Unique |
0
:
1
|
PGL Major Antwerp 2022 |
Lose
|
Team Earnings
Data | Earnings |
---|---|
2022 | $ 3500 |
2021 | $ 32706 |
2020 | $ 2799 |
2019 | $ 44305 |
2018 | $ 5711 |
About The Unique Team
- The current roster of the Unique team - iceZz-, smiley, w1nt3r, dukefissura, sorrow.
- The team's approximate total earnings are $ 89021.
- In the last tournament FRAG S8, team Unique took 1st place, winning $ 1 500 of the total prize pool.
- Unique CS:GO team represents Kazakhstan.
- The current total win rate is 51%. Last year the winning percentage was 46%.
- Their last match was on 19.04.22 and ended with a 2 - 0 result at the PGL Major Antwerp 2022 tournament. The opponents were the OG team. The result for Unique - Lose.
- For all time the team has played 377 matches and they won 194 of them (according to our data).