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gmanchew

Austin Vieira
24 years Canada
0.87 T rating
LOW 0.87 RATING 2.0
N/A CT rating
- ROUND SWING N/A 0.70 DPR OKAY
- MULTI-KILL N/A 64.9 ADR LOW
64.5% KAST LOW
0.56 KPR LOW

Statistics

Total kills 1,008
Rounds played 1,813
Headshot % 44.2%
Kills / round 0.56
Total deaths 1,277
Assists / round 0.21
K/D Ratio 0.79
Deaths / round 0.70
Damage / Round 64.9
Saved by teammate / round
Grenade dmg / Round
Saved teammates / round
Maps played 69
Impact rating 0.87

Transfers

Player Type To Role Date
gmanchew RBG Starter 2022-12-11

Match history for gmanchew

Date Player team Opponent Map K-D +/- Rating 3.0
29/10/20 RBG Third Impact Inferno 14 - 11 +3 1.17
28/10/20 RBG Mythic Overpass 29 - 23 +6 1.14
23/10/20 RBG ex-Recon 5 Train 17 - 15 +2 1.11
22/10/20 RBG ImPerium Overpass 19 - 7 +12 1.56
20/10/20 RBG KIN Overpass 16 - 19 -3 0.98

Event history for gmanchew

# Event Team Maps KPR - DPR +/- Rating 3.0
5th
ESEA MDL North America season 35 2020
RBG 5 0.73 - 0.56 +20 1.19

FAQ

What is gmanchew's CS2 rating and statistics?
gmanchew has a 0.87 rating across 44 matches, 69 maps. In the same sample, their K/D ratio is 0.79, ADR is 64.9, KAST is 64.5%, and headshot rate is 44.2%. Together, those numbers summarize fragging efficiency, damage output, round impact, and aim profile without adding unsupported big-event splits.
What are gmanchew's K/D and ADR numbers?
gmanchew has a 0.79 K/D ratio and 64.9 ADR across 44 matches, 69 maps. Their rating in the same sample is 0.87. K/D shows kill efficiency, while ADR shows average damage output, so reading both together gives a cleaner view than either stat alone.
How large is the stats sample for gmanchew?
gmanchew's available sample covers 44 matches, 69 maps. That sample is the context for the rating, K/D, ADR, KAST, and map figures shown in this FAQ. Treat those values as the current measured scope rather than a complete career total across every competition.
What is gmanchew's best map in CS2?
gmanchew's best map in the available sample is Overpass, with a 1.23 rating across 3 maps. Because the sample is map-specific, it works best as a focused performance indicator rather than a complete map-pool verdict. The broader rating and ADR numbers still matter for judging consistency.