Team Dignitas on Overwatch
Team Dignitas
-
United Kingdom
-
-
-
$ 12760
16
Win
16
Lose
53%
Win Rate
-
Rating
Dignitas Roster
Dignitas Achievements
Place | Date | Tournament | Prize |
---|---|---|---|
3rd |
15.04.17 | $ 2 250 | |
3rd |
05.03.17 | $ 110 | |
2nd |
28.01.17 | $ 1 400 | |
9
|
01.10.16 | $ 6 000 | |
7
|
21.08.16 | $ 3 000 |
Other players of Dignitas Team
Recent Dignitas matches at Overwatch
Date | Rival | Score | Tournament | Date / Results | |
---|---|---|---|---|---|
13.04.17 |
Dignitas
Team Dignitas |
2
:
3
|
Overwatch Pit Championship |
Lose
|
|
12.04.17 |
Dignitas
Team Dignitas |
2
:
0
|
Overwatch Pit Championship |
Win
|
|
12.04.17 |
Dignitas
Team Dignitas |
2
:
1
|
Overwatch Pit Championship |
Win
|
|
12.04.17 |
Dignitas
Team Dignitas |
2
:
1
|
Overwatch Pit Championship |
Win
|
|
10.04.17 |
Dignitas
Team Dignitas |
0
:
2
|
Overwatch Pit Championship |
Lose
|
|
01.04.17 |
Dignitas
Team Dignitas |
2
:
0
|
Overwatch Pit Championship |
Win
|
|
31.03.17 |
Dignitas
Team Dignitas |
2
:
1
|
Overwatch Pit Championship |
Win
|
|
30.03.17 |
Dignitas
Team Dignitas |
1
:
2
|
Overwatch Pit Championship |
Lose
|
|
29.03.17 |
Dignitas
Team Dignitas |
2
:
1
|
Overwatch Pit Championship |
Win
|
|
28.03.17 |
Dignitas
Team Dignitas |
1
:
2
|
Overwatch Pit Championship |
Lose
|
Team Earnings
Data | Earnings |
---|---|
2017 | $ 3760 |
2016 | $ 9000 |
About The Dignitas Team
- Dignitas Overwatch team represents United Kingdom.
- In the last tournament Overwatch Pit Championship, team Dignitas took 3st place, winning $ 2 250 of the total prize pool.
- The team's approximate total earnings are $ 12760.
- The current roster of the Dignitas team - evokje, Veineless, ToxikeN, LiNkzr, Bromas.
- Their last match was on 13.04.17 and ended with a 3 - 2 result at the Overwatch Pit Championship tournament. The opponents were the eUNITED team. The result for Dignitas - Lose.
- The current total win rate is 53%. Last year the winning percentage was 0%.
- For all time the team has played 30 matches and they won 16 of them (according to our data).