Team HR on CS:GO
HellRaisers
-
Ukraine -
-
-
$ 812546
540
Win
477
Lose
51%
Win Rate
-
Rating
HR Roster
HR Achievements
| Place | Date | Tournament | Prize |
|---|---|---|---|
|
9
|
15.12.21 | - | |
|
14
|
19.04.21 | - | |
|
3rd |
07.02.21 | $ 3 000 | |
|
7
|
31.01.21 | $ 1 500 | |
|
3rd |
16.01.21 | $ 3 375 | |
|
2nd |
05.12.20 | $ 4 500 | |
|
5
|
26.11.20 | - | |
|
3rd |
15.11.20 | $ 2 700 | |
|
11
|
25.10.20 | $ 1 000 | |
|
3rd |
13.09.20 | $ 4 738 | |
|
3rd |
06.09.20 | $ 2 500 |
Other players of HR Team
Recent HR matches at CS:GO
| Date | Rival | Score | Tournament | Date / Results | |
|---|---|---|---|---|---|
| 11.02.22 |
 HR
HellRaisers |
1
:
2
|
MVK S6 |
Lose
|
|
| 09.02.22 |
HR
HellRaisers |
0
:
2
|
REPUBLEAGUE S3 |
Lose
|
|
| 08.02.22 |
HR
HellRaisers |
1
:
0
|
REPUBLEAGUE S3 |
Win
|
|
| 08.02.22 |
HR
HellRaisers |
1
:
0
|
REPUBLEAGUE S3 |
Win
|
|
| 07.02.22 |
HR
HellRaisers |
2
:
0
|
MVK S6 |
Win
|
|
| 29.01.22 |
HR
HellRaisers |
0
:
1
|
ECC Winter 2022 #3 |
Lose
|
|
| 29.01.22 |
HR
HellRaisers |
1
:
0
|
ECC Winter 2022 #3 |
Win
|
|
| 17.01.22 |
HR
HellRaisers |
1
:
2
|
MVK S5 |
Lose
|
|
| 10.12.21 |
HR
HellRaisers |
1
:
2
|
ESEA Advanced S39 |
Lose
|
|
| 09.12.21 |
HR
HellRaisers |
1
:
2
|
ESEA Advanced S39 |
Lose
|
Team Earnings
| Data | Earnings |
|---|---|
| 2021 | $ 7875 |
| 2020 | $ 25938 |
| 2019 | $ 78285 |
| 2018 | $ 341287 |
| 2017 | $ 115750 |
| 2016 | $ 124482 |
| 2015 | $ 81400 |
| 2014 | $ 37529 |
About The HR Team
- Their last match was on 11.02.22 and ended with a 2 - 1 result at the MVK S6 tournament. The opponents were the D13 team. The result for HR - Lose.
- The current roster of the HR team - Templ, 7oX1C, alex666, w0nderful, OWNER.
- The current total win rate is 51%. Last year the winning percentage was 50%.
- In the last tournament ESEA Advanced S39, team HR took 9st place, winning $ 0 of the total prize pool.
- HR CS:GO team represents Ukraine.
- The team's approximate total earnings are $ 812546.
- For all time the team has played 1041 matches and they won 540 of them (according to our data).