NRG vs MOUZ

NRG

1:2

MOUZ

Finished

Format: BO3·Played: May 21, 05:41 UTC

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Map Results

AncientMap 1

NRG

W–L

MOUZ

Duration: 46:02

NukeMap 2

NRG

L–W

MOUZ

Duration: 38:31

MirageMap 3

NRG

L–W

MOUZ

Duration: 46:08

Streams

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Map Breakdown

Series best: Spinx — 1.28 average rating across 3 maps.

Mirage

MOUZ 13–9 NRG

MOUZ1st half 7 · 2nd half 6CT 7/12 · T 6/10Pistols 1/2

NRG1st half 5 · 2nd half 4CT 4/10 · T 5/12Pistols 1/2

Player	K	D	A	+/−	ADR	KAST	Rating
SpinxMOUZ	23	8	6	+15	91.5	77%	1.64
xertioNMOUZ	17	14	8	+3	98.3	59%	1.23
torzsiMOUZ	15	9	5	+6	58.2	82%	1.17
jLMOUZ	16	14	6	+2	85.7	77%	1.13
GrimNRG	13	16	1	-3	69.0	50%	1.09
oSeeNRG	11	12	7	-1	49.6	64%	0.98
SonicNRG	13	18	6	-5	76.3	77%	0.92
nitr0NRG	14	15	1	-1	57.9	64%	0.91
xelexMOUZ	8	13	4	-5	42.8	64%	0.78
dapsNRG	7	18	2	-11	43.2	50%	0.59

Nuke

MOUZ 13–6 NRG

MOUZ1st half 8 · 2nd half 5CT 5/7 · T 8/12Pistols 1/2

NRG1st half 4 · 2nd half 2CT 4/12 · T 2/7Pistols 1/2

Player	K	D	A	+/−	ADR	KAST	Rating
torzsiMOUZ	16	10	2	+6	87.5	74%	1.72
SpinxMOUZ	14	11	2	+3	77.4	90%	1.40
jLMOUZ	16	9	2	+7	72.9	79%	1.21
xertioNMOUZ	13	10	4	+3	78.4	84%	1.12
xelexMOUZ	14	10	1	+4	76.9	68%	1.08
SonicNRG	13	16	1	-3	71.2	79%	1.01
GrimNRG	10	14	3	-4	52.1	79%	0.85
nitr0NRG	9	14	3	-5	65.0	63%	0.82
dapsNRG	8	14	3	-6	42.6	68%	0.68
oSeeNRG	10	16	3	-6	60.9	42%	0.62

Ancient

MOUZ 10–13 NRG

MOUZ1st half 5 · 2nd half 5CT 5/12 · T 5/11Pistols 0/2

NRG1st half 7 · 2nd half 6CT 6/11 · T 7/12Pistols 2/2

Player	K	D	A	+/−	ADR	KAST	Rating
SonicNRG	21	13	4	+8	92.9	78%	1.59
GrimNRG	19	13	5	+6	91.0	78%	1.32
oSeeNRG	16	15	4	+1	67.1	74%	1.05
nitr0NRG	11	13	4	-2	49.6	70%	0.98
xertioNMOUZ	16	19	8	-3	89.7	70%	0.96
xelexMOUZ	15	18	5	-3	81.6	74%	0.96
torzsiMOUZ	15	12	4	+3	51.5	74%	0.87
jLMOUZ	12	14	5	-2	64.9	65%	0.84
SpinxMOUZ	12	15	2	-3	59.7	57%	0.80
dapsNRG	10	19	7	-9	73.5	61%	0.78

About NRG vs MOUZ

This BO3 Counter-Strike 2 match is part of Group A on the CS Asia Championships circuit. MOUZ took the series 1–2. For head-to-head form and predicted lineups, see the head-to-head tool and the prediction model.

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