9 Pandas Tableau des résultats

+/-

SCORES DES CARTES

43

25

10

+18

104

5:3

10

0

Nuke7

7.5

+34%

28

24

5

+4

70

5:2

8

1

Nuke7.2

6.3

-3%

30

25

11

+5

76

5:6

7

1

Nuke6.2

6.2

+3%

28

26

9

+2

76

3:4

7

0

Nuke4.8

6.2

+7%

26

26

8

0

66

4:5

9

0

Nuke5.3

5.7

-8%

Total

155

126

43

+29

392

22:20

41

2

Train6.6

6.4

+6%

ECLOT Tableau des résultats

+/-

SCORES DES CARTES

33

28

10

+5

78

9:3

10

0

Nuke7

6.7

+4%

25

34

9

-9

73

3:7

6

1

Nuke5.6

5.7

-10%

21

34

9

-13

78

3:0

5

0

Nuke5.8

5.7

-6%

24

32

8

-8

58

4:5

5

0

Nuke5.1

5.4

-25%

19

29

1

-10

52

1:7

5

0

Nuke4.7

4.5

-24%

Total

122

157

37

-35

339

20:22

31

1

Train5.5

5.6

-12%

Clash.gg 3 cases
score predict & Analytics Insights
Résultat
2 - 0
2 - 1
1 - 2
0 - 2
Avantages des équipes

Cartes

Score

6.4

5.6

Nuke0.5

Manches gagnées

26

16

Nuke6

Éliminations

155

122

Nuke7

Dégâts

16.53K

14.26K

Nuke525

Économie

907.3K

748.65K

Nuke31750

Composition de l'équipe
Composition de l'équipe
Composition de l'équipe
Choix & interdictions

Il n'y a actuellement aucune information liée à ce choix de cartes
Historique Taux de victoire par carte 6 derniers mois

Train

100%

Nuke

21%

Ancient

13%

Dust II

5%

Anubis

2%

Inferno

1%

Mirage

1%

Dernières 5 cartes

Train

100%

1

2

fb
fb

Nuke

61%

33

1

p
g
p
g
g

Ancient

58%

19

8

p
p
g
g
p

Dust II

63%

27

0

p
p
p
p
g

Anubis

45%

20

17

p
g
p
fb
g

Inferno

63%

16

7

p
fb
fb
p
g

Mirage

65%

17

19

g
p
p
g
g

Dernières 5 cartes

Train

0%

1

13

fb
fb
fb
fb
fb

Nuke

40%

43

11

p
g
p
g
p

Ancient

71%

31

15

g
g
p
g
g

Dust II

58%

19

22

fb
g
p
fb
p

Anubis

47%

49

8

g
p
p
p

Inferno

62%

26

17

fb
g
g
g
g

Mirage

64%

64

0

g
g
p
p
g
Derniers résultats
Matchs précédents
Informations
Match analysis of 9 Pandas vs ECLOT by the Bo3.gg Team

In the CS2 match between 9 Pandas and ECLOT, a series of thrilling battles unfolded with a score of 2-0, on the following maps: Train, Nuke, and victory was secured by 9 Pandas. The MVP of this match was KaiR0N-.


9 Pandas analytics

The team 9 Pandas secured 26 out of 42 rounds, showcasing their ability to control and adapt to various situations. They won on the maps Train, Nuke. They also successfully set 5 bombs during the match.


The standout players for 9 Pandas were KaiR0N- contributed 43 kills and r3salt contributed 28 kills. Their exceptional skills played a pivotal role in securing the win. Thanks to coordinated effort, the team inflicted 16530 overall damage.


On the defensive side, 9 Pandas held their ground firmly, successfully defending 12 bomb plants. Their defensive coordination and site control proved to be crucial.


ECLOT analytics

The team ECLOT managed to secure 16 out of 42 rounds, but faced challenges in adapting to their opponent's strategies. Capturing 3 plants during the match did not lead the team to victory.


The standout players for ECLOT were M1key contributed 33 kills and Dytor contributed 25 kills. 14260 of total damage by ECLOT could not prevent 9 Pandas from securing the victory


On the defensive side, ECLOT struggled to hold their ground, successfully defending 8 bomb plants. Their defensive coordination faced challenges, making it difficult to maintain site control.

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