Team B4 FEM on CS:GO
B4 Esports Female
-
Brazil
-
-
-
$ 50519
52
Win
23
Lose
69%
Win Rate
-
Rating
B4 FEM Roster
B4 FEM Achievements
Place | Date | Tournament | Prize |
---|---|---|---|
3rd |
04.06.23 | $ 13 000 | |
1st |
06.03.23 | $ 750 | |
3rd |
12.02.23 | $ 10 000 | |
1st |
11.12.22 | $ 5 678 | |
5
|
27.11.22 | $ 7 000 | |
1st |
22.10.22 | $ 10 644 | |
2nd |
17.10.22 | $ 282 | |
2nd |
08.10.22 | $ 966 | |
1st |
19.09.22 | $ 750 | |
2nd |
12.09.22 | $ 292 | |
3rd |
08.08.22 | $ 1 157 |
Other players of B4 FEM Team
Recent B4 FEM matches at CS:GO
Date | Rival | Score | Tournament | Date / Results | |
---|---|---|---|---|---|
25.08.23 |
B4 FEM
B4 Esports Female |
0
:
2
|
CCT S1 SA #10 |
Lose
|
|
23.08.23 |
B4 FEM
B4 Esports Female |
0
:
2
|
CCT S1 SA #10 |
Lose
|
|
21.08.23 |
B4 FEM
B4 Esports Female |
0
:
2
|
CCT S1 SA #10 |
Lose
|
|
06.08.23 |
B4 FEM
B4 Esports Female |
IG Intense Game |
-
|
CCT S1 SA #9 |
Lose
|
04.08.23 |
B4 FEM
B4 Esports Female |
2
:
0
|
CCT S1 SA #9 |
Win
|
|
02.08.23 |
B4 FEM
B4 Esports Female |
0
:
2
|
CCT S1 SA #9 |
Lose
|
|
31.07.23 |
B4 FEM
B4 Esports Female |
1
:
2
|
CCT S1 SA #9 |
Lose
|
|
04.06.23 |
B4 FEM
B4 Esports Female |
0
:
2
|
ESL Impact S3 |
Lose
|
|
03.06.23 |
B4 FEM
B4 Esports Female |
2
:
1
|
ESL Impact S3 |
Win
|
|
02.06.23 |
B4 FEM
B4 Esports Female |
0
:
1
|
ESL Impact S3 |
Lose
|
Team Earnings
Data | Earnings |
---|---|
2023 | $ 23750 |
2022 | $ 26769 |
About The B4 FEM Team
- The current roster of the B4 FEM team - goddess, yungher, nani, julih, poppins.
- In the last tournament ESL Impact S3, team B4 FEM took 3st place, winning $ 13 000 of the total prize pool.
- The team's approximate total earnings are $ 50519.
- Their last match was on 25.08.23 and ended with a 2 - 0 result at the CCT S1 SA #10 tournament. The opponents were the YAW team. The result for B4 FEM - Lose.
- The current total win rate is 69%. Last year the winning percentage was 66%.
- B4 FEM CS:GO team represents Brazil.
- For all time the team has played 75 matches and they won 52 of them (according to our data).