Team BIG FEM on CS:GO
BIG EQUIPA
-
Germany -
-
-
$ 30300
33
Win
34
Lose
49%
Win Rate
0
Rating
BIG FEM Roster
BIG FEM Achievements
| Place | Date | Tournament | Prize |
|---|---|---|---|
|
5
|
22.05.25 |
 ESL Impact S7 |
$ 2 000 |
|
3rd |
24.11.24 |
 ESL Impact S6 |
$ 13 000 |
|
5
|
03.06.24 |
 ESL Impact S5 |
$ 7 000 |
|
4
|
10.12.23 | $ 2 200 | |
|
4
|
04.06.23 | $ 2 200 | |
|
2nd |
05.03.23 |
 FASTCUP AURORA |
$ 400 |
|
3rd |
27.11.22 | $ 2 500 | |
|
5
|
03.07.22 | $ 3 000 | |
|
3rd |
06.06.22 | $ 13 000 |
Other players of BIG FEM Team
Recent BIG FEM matches at CS:GO
| Date | Rival | Score | Tournament | Date / Results | |
|---|---|---|---|---|---|
| 13.04.25 |
 |
 |
-
|
ESL Impact S7 |
Win
|
| 12.04.25 |
|
 DMS FEM DMS Female |
-
|
ESL Impact S7 |
Lose
|
| 11.04.25 |
|
 nomercy FEM nomercy Female |
-
|
ESL Impact S7 |
Win
|
| 03.04.25 |
|
 AH FEM AKA HERO KAJO |
-
|
ESL Impact S7 |
Win
|
| 19.03.25 |
|
 Akuma FEM Akuma Female |
-
|
ESL Impact S7 |
Win
|
| 06.03.25 |
|
|
-
|
ESL Impact S7 |
Win
|
| 26.02.25 |
|
0
:
2
|
ESL Impact S7 |
Lose
|
|
| 17.01.25 |
|
 AMKAL AMKAL Esports |
-
|
CCT S2 EU #16 |
Lose
|
| 16.01.25 |
|
0
:
2
|
CCT S2 EU #16 |
Lose
|
|
| 24.11.24 |
|
 IMP FEM Imperial Female |
-
|
ESL Impact S6 |
Lose
|
Team Earnings
| Data | Earnings |
|---|---|
| 2024 | $ 7000 |
| 2023 | $ 4800 |
| 2022 | $ 18500 |
About The BIG FEM Team
- The current roster of the BIG FEM team - Zana, JennyR, pullox, Hanka, pauliiee.
- The current total win rate is 49%. Last year the winning percentage was 58%.
- Their last match was on 13.04.25 and ended with a 1 - 2 result at the ESL Impact S7 tournament. The opponents were the EcoWar team. The result for BIG FEM - Win.
- In the last tournament ESL Impact S7, team BIG FEM took 5st place, winning $ 2 000 of the total prize pool.
- The team's approximate total earnings are $ 30300.
- At the moment team BIG FEM is in 63st place among the professional CS:GO teams.
- BIG FEM CS:GO team represents Germany.
- For all time the team has played 67 matches and they won 33 of them (according to our data).