Team MIBR on Valorant
MIBR
-
Brazil -
-
-
$ 29482
46
Win
45
Lose
50%
Win Rate
57
Rating
MIBR Roster
MIBR Achievements
| Place | Date | Tournament | Prize |
|---|---|---|---|
|
11
|
22.06.25 |
 VCT 2025 Masters Toronto |
$ 15 000 |
|
3rd |
04.05.25 |
 VCT 2025 AM S1 |
- |
|
3rd |
09.02.25 |
 VCT 2025 AM KICK-OFF |
- |
|
2nd |
15.12.24 |
 Tixinha Invitational |
$ 3 000 |
|
3rd |
05.11.23 |
 MEG 2023 |
$ 1 020 |
|
9
|
28.05.23 | - | |
|
2nd |
04.12.22 | $ 2 243 | |
|
2nd |
28.08.22 | $ 1 958 | |
|
5
|
26.06.22 | $ 6 261 |
Other players of MIBR Team
Recent MIBR matches at Valorant
| Date | Rival | Score | Tournament | Date / Results | |
|---|---|---|---|---|---|
| 18.08.25 |
 |
0
:
0
|
VCT 2025 AM S2 |
Draw
|
|
| 09.08.25 |
|
 |
0
:
0
|
VCT 2025 AM S2 |
Draw
|
| 03.08.25 |
|
 |
0
:
0
|
VCT 2025 AM S2 |
Draw
|
| 28.07.25 |
|
0
:
0
|
VCT 2025 AM S2 |
Draw
|
|
| 20.07.25 |
|
1
:
2
|
VCT 2025 AM S2 |
Lose
|
|
| 10.06.25 |
|
0
:
2
|
VCT 2025 Masters Toronto |
Lose
|
|
| 08.06.25 |
|
0
:
2
|
VCT 2025 Masters Toronto |
Lose
|
|
| 25.05.25 |
|
|
2
:
3
|
EWC 2025 |
Lose
|
| 24.05.25 |
|
2
:
1
|
EWC 2025 |
Win
|
|
| 23.05.25 |
|
|
0
:
2
|
EWC 2025 |
Lose
|
Team Earnings
| Data | Earnings |
|---|---|
| 2025 | $ 15000 |
| 2024 | $ 3000 |
| 2023 | $ 1020 |
| 2022 | $ 10462 |
About The MIBR Team
- At the moment team MIBR is in 19st place among the professional Valorant teams.
- The team's approximate total earnings are $ 29482.
- In the last tournament VCT 2025 Masters Toronto, team MIBR took 11st place, winning $ 15 000 of the total prize pool.
- MIBR Valorant team represents Brazil.
- The current total win rate is 50%. Last year the winning percentage was 56%.
- Their last match was on 18.08.25 and ended with a 0 - 0 result at the VCT 2025 AM S2 tournament. The opponents were the LOUD team. The result for MIBR - Draw.
- The team's rating is 57 points in the global ranking.
- The current roster of the MIBR team - cortezia, aspas, Verno, artzin, xenom.
- For all time the team has played 91 matches and they won 46 of them (according to our data).