Team NiP on Dota 2
Ninjas in Pyjamas
-
Sweden
-
-
-
$ 976541
211
Win
202
Lose
46%
Win Rate
-
Rating
NiP Roster
NiP Achievements
Place | Date | Tournament | Prize |
---|---|---|---|
3rd |
09.11.20 | $ 5 500 | |
9
|
01.11.20 | $ 7 500 | |
3rd |
30.09.20 | $ 6 500 | |
11
|
06.09.20 | $ 2 500 | |
4
|
06.09.20 | $ 5 000 | |
7
|
30.07.20 | $ 5 661 | |
9
|
28.06.20 | $ 5 000 | |
5
|
13.06.20 | $ 12 560 | |
11
|
07.06.20 | $ 4 000 | |
5
|
23.05.20 | $ 7 000 | |
5
|
12.05.20 | $ 12 500 |
Other players of NiP Team
Recent NiP matches at Dota 2
Date | Rival | Score | Tournament | Date / Results | |
---|---|---|---|---|---|
30.11.20 |
NiP
Ninjas in Pyjamas |
1
:
2
|
EPIC League S2 |
Lose
|
|
24.11.20 |
NiP
Ninjas in Pyjamas |
2
:
0
|
EPIC League S2 |
Win
|
|
23.11.20 |
NiP
Ninjas in Pyjamas |
1
:
2
|
EPIC League S2 |
Lose
|
|
20.11.20 |
NiP
Ninjas in Pyjamas |
2
:
0
|
EPIC League S2 |
Win
|
|
18.11.20 |
NiP
Ninjas in Pyjamas |
1
:
2
|
EPIC League S2 |
Lose
|
|
18.11.20 |
NiP
Ninjas in Pyjamas |
2
:
0
|
EPIC League S2 |
Win
|
|
17.11.20 |
NiP
Ninjas in Pyjamas |
0
:
2
|
EPIC League S2 |
Lose
|
|
16.11.20 |
NiP
Ninjas in Pyjamas |
2
:
0
|
EPIC League S2 |
Win
|
|
12.11.20 |
NiP
Ninjas in Pyjamas |
2
:
0
|
EPIC League S2 |
Win
|
|
09.11.20 |
NiP
Ninjas in Pyjamas |
1
:
2
|
EPIC League S2 |
Lose
|
Team Earnings
Data | Earnings |
---|---|
2020 | $ 96721 |
2019 | $ 596825 |
2018 | $ 112000 |
2017 | $ 1000 |
2015 | $ 169995 |
About The NiP Team
- Their last match was on 30.11.20 and ended with a 2 - 1 result at the EPIC League S2 tournament. The opponents were the LtW team. The result for NiP - Lose.
- The team's approximate total earnings are $ 976541.
- The current roster of the NiP team - charlie, Supream^, SabeRLight-, Era, Buugi.
- In the last tournament The Summit S13, team NiP took 3st place, winning $ 5 500 of the total prize pool.
- The current total win rate is 46%. Last year the winning percentage was 0%.
- NiP Dota 2 team represents Sweden.
- For all time the team has played 452 matches and they won 211 of them (according to our data).