Team HL on CS:GO
Hard Legion Esports
-
Russian Federation
-
-
-
$ 65811
84
Win
84
Lose
50%
Win Rate
-
Rating
HL Roster
HL Achievements
Place | Date | Tournament | Prize |
---|---|---|---|
4
|
11.11.20 | $ 2 355 | |
3rd |
06.09.20 | $ 2 500 | |
5
|
07.08.20 | $ 300 | |
3rd |
02.08.20 | $ 3 498 | |
2nd |
15.07.20 | $ 15 000 | |
2nd |
05.07.20 | $ 6 348 | |
8
|
28.06.20 | $ 3 000 | |
3rd |
11.06.20 | $ 1 000 | |
3rd |
17.05.20 | $ 6 000 | |
1st |
29.03.20 | $ 3 810 | |
3rd |
01.03.20 | $ 2 500 |
Other players of HL Team
Recent HL matches at CS:GO
Date | Rival | Score | Tournament | Date / Results | |
---|---|---|---|---|---|
17.04.21 |
HL
Hard Legion Esports |
1
:
2
|
COLIZEUM 2021 |
Lose
|
|
17.04.21 |
HL
Hard Legion Esports |
2
:
1
|
COLIZEUM 2021 |
Win
|
|
16.04.21 |
HL
Hard Legion Esports |
2
:
0
|
Dell Gaming RU S2 |
Win
|
|
15.04.21 |
HL
Hard Legion Esports |
0
:
2
|
Dell Gaming RU S2 |
Lose
|
|
15.04.21 |
HL
Hard Legion Esports |
2
:
1
|
Dell Gaming RU S2 |
Win
|
|
27.03.21 |
HL
Hard Legion Esports |
0
:
1
|
REPUBLEAGUE S1 |
Lose
|
|
14.03.21 |
HL
Hard Legion Esports |
0
:
2
|
BLAST Spring Showdown 2021 |
Lose
|
|
13.03.21 |
HL
Hard Legion Esports |
2
:
0
|
BLAST Spring Showdown 2021 |
Win
|
|
05.03.21 |
HL
Hard Legion Esports |
1
:
2
|
DreamHack Spring 2021 |
Lose
|
|
05.03.21 |
HL
Hard Legion Esports |
1
:
0
|
DreamHack Spring 2021 |
Win
|
Team Earnings
Data | Earnings |
---|---|
2020 | $ 47811 |
2019 | $ 18000 |
About The HL Team
- HL CS:GO team represents Russian Federation.
- The team's approximate total earnings are $ 65811.
- The current total win rate is 50%. Last year the winning percentage was 0%.
- In the last tournament Challenge Cup, team HL took 4st place, winning $ 2 355 of the total prize pool.
- The current roster of the HL team - Porya, dekzz, Raijin, BELCHONOKK, spaze.
- Their last match was on 17.04.21 and ended with a 2 - 1 result at the COLIZEUM 2021 tournament. The opponents were the FRZ team. The result for HL - Lose.
- For all time the team has played 168 matches and they won 84 of them (according to our data).