gs 350 AWD

gs 350 AWD — CS2 Stats

76561199068340772[U:1:1108075044]Steam profile ↗✓ No bans

572Tracked matches46%Win rate2020Tracked since
CSDB Rating6.0 SolidHybrid Rifler
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGgs 350 AWDFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim88
Positioning52
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY43516Last 10043%Win rateWLWTLWWWLL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.8
Aggression6.4
Utility3.3
Positioning5.2
Opening Duels2.9
Clutch3.6

Sharp aimerStrong CT-side openerLimited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 88% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 51% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.8
Positioning5.2
Utility3.3
Mechanics7.7
Opening Duels2.9
Win Impact3.8

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time516ms−88ms
first ⅓ avg 604ms → last ⅓ avg 516ms
Headshot accuracy24.7%−1.9%
first ⅓ avg 26.6% → last ⅓ avg 24.7%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.16Best rating — inferno 13–5
130Biggest win — dust2
5Longest win streak
53In matches decided by ≤2 rounds
3Overtime games

Map breakdown

overpassBest map · 60% over 5trainWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B178947%-0.00
ancientB168850%0.01
mirageD134931%-0.00
trainD123925%0.02
infernoC114736%0.00
cacheC73443%-0.01
vertigoB63350%-0.03
overpassA53260%-0.01
anubis42250%0.03
office42250%0.01
nuke32167%0.08
italy1010%0.03
palacio110100%0.02

Across the last 100 tracked matches.

Faceit stats

Combat

91Matches
59%Win rate
1.29Avg K/D
85.4ADR
48%Headshot %

Clutches & streaks

38%1v1 clutch win
28%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust21963%1.1916.0
Ancient1765%1.5719.7
Nuke1560%1.3817.8
Anubis1369%1.3717.5
Mirage1354%1.1414.4
Overpass250%1.4226.5
Inferno10%0.7915.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

25.8%Headshot accuracy
35.8%Accuracy (enemy spotted)
38.0%Spray accuracy
84.5%Counter-strafing
8.2°Preaim
544msReaction time
32.3%T opening success
50.8%CT opening success
0.60Enemies flashed / flash
4.3%Flash assists
8.96HE damage / grenade
4.50Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 32.3249% — below the 40% mark we flag

Spend your practice time on Train

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient13–100.0926%27 Aug
mirage8–13-0.0336%27 Aug
dust213–60.0626%27 Aug
dust215–15-0.0012%25 Aug
anubis11–13-0.0014%25 Aug
ancient13–4-0.046%24 Aug
dust213–80.0920%24 Aug
ancient13–9-0.0130%23 Aug
cache11–130.000%22 Aug
mirage10–130.000%22 Aug
train5–13-0.0231%22 Aug
dust29–13-0.0326%22 Aug
dust26–13-0.0120%19 Aug
ancient13–11-0.1021%19 Aug
train13–60.0929%18 Aug
cache8–13-0.0321%18 Aug
mirage13–60.0448%14 Aug
train10–13-0.0224%14 Aug
dust213–11-0.0119%14 Aug
inferno2–13-0.1022%14 Aug
ancient4–130.0113%7 Aug
vertigo7–13-0.0326%29 Jul
overpass13–110.0229%28 Jul
nuke13–90.1029%28 Jul
mirage4–13-0.0243%28 Jul
train12–12-0.0335%26 Jul
mirage5–13-0.0233%22 Jul
dust25–13-0.0531%15 Jul
office13–110.0124%15 Jul
office13–40.1044%12 Jul
vertigo4–13-0.0419%12 Jul
dust213–6-0.0734%10 Jul
cache7–130.0927%9 Jul
mirage12–120.0421%7 Jul
train5–130.0233%7 Jul
ancient5–13-0.025%6 Jul
mirage13–8-0.0015%6 Jul
train13–60.1530%2 Jul
ancient7–13-0.0233%29 Jun
train9–13-0.0122%26 Jun
inferno6–130.0427%26 Jun
office8–13-0.0125%24 Jun
cache13–8-0.0136%22 Jun
anubis13–100.0420%17 Jun
train13–80.0633%17 Jun
mirage13–60.0013%15 Jun
inferno13–90.0917%12 Jun
cache9–13-0.0329%12 Jun
dust213–110.0321%12 Jun
cache13–5-0.0226%24 May
cache13–10-0.0432%22 May
dust213–4-0.0120%20 May
dust25–13-0.0727%17 May
mirage13–9-0.0629%14 May
inferno13–50.1625%13 May
mirage10–130.0031%12 May
nuke13–20.1429%26 Apr
inferno15–150.0318%23 Apr
ancient13–3-0.0015%23 Apr
inferno13–8-0.0119%23 Apr
ancient13–30.1044%15 Apr
italy10–130.0333%15 Apr
dust210–13-0.0326%9 Apr
dust213–00.0937%29 Mar
ancient13–70.0623%29 Mar
inferno8–13-0.0628%18 Mar
overpass13–90.0317%14 Mar
office8–13-0.0624%14 Mar
train7–130.0539%11 Mar
dust22–13-0.0843%7 Mar
train0–50.0038%7 Mar
overpass13–4-0.0713%7 Mar
inferno13–9-0.0417%7 Mar
anubis13–50.0817%4 Mar
ancient13–30.0128%4 Mar
mirage9–130.0725%4 Mar
inferno7–13-0.0732%4 Mar
train7–130.0038%4 Mar
vertigo13–90.0145%26 Feb
ancient9–130.0320%10 Feb
overpass9–130.0119%25 Jan
dust213–6-0.0032%25 Jan
inferno6–13-0.0530%25 Jan
nuke10–130.0027%25 Jan
ancient15–150.1135%25 Jan
overpass1–13-0.0424%25 Jan
ancient7–13-0.0924%25 Jan
ancient8–13-0.0423%8 Jan
vertigo13–5-0.0411%1 Jan
palacio13–20.0236%26 Dec
mirage10–13-0.0333%22 Dec
vertigo13–70.0226%18 Dec
vertigo1–9-0.0725%18 Dec
mirage7–13-0.0130%18 Dec
inferno11–130.0612%14 Dec
anubis8–130.0216%14 Dec
train10–13-0.0425%4 Dec
dust212–120.0323%4 Dec
ancient10–130.0624%4 Dec
dust27–130.0427%3 Dec

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →