Queazy

Queazy — CS2 Stats

US76561198094720277[U:1:134454549]Steam profile ↗✓ No bans

668Tracked matches54%Win rate2022Tracked since
1,113Hours in CS55Hrs last 2 wks
CSDB Rating3.6 Learning
Premier CS Rating7,073Light Blue band · top ~68.9% of ranked players (population est.)
CSDB Leaderboard#13787 of 18207 tracked
Ladder ranks via Leetify

Share this profile

CSDB.GGQueazyPREMIER7,073 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim42
Positioning40
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY46513Last 10046%Win rateTLWWWLLWWW

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

Player DNA

Aim4.2
Aggression4.0
Utility4.3
Positioning4.0
Opening Duels1.1
Clutch6.0

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

NiKo

Plays most like NiKo 78% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; lower aim profile.

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

Areas to improve

T-side openings. Opening success drops from 44% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 619ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2
Positioning4.0
Utility4.3
Mechanics3.0
Opening Duels1.7
Win Impact6.2

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.00
Reaction time618ms−72ms
first ⅓ avg 690ms → last ⅓ avg 618ms
Headshot accuracy13.5%−0.3%
first ⅓ avg 13.8% → last ⅓ avg 13.5%

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

0.33Best rating — ancient 7–1
131Biggest win — dust2
4Longest win streak
87In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 71% over 7infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B26121446%-0.02
mirageC23101343%-0.04
ancientB157847%-0.01
cacheB126650%-0.02
anubisB115645%0.01
nukeS75271%-0.01
infernoD61517%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,929Lifetime kills
0.88K/D
1,452Matches
41.9%Match win rate
34.6%Headshot %
5.8%Shot accuracy
2,039MVPs
497Hours (in match)
1,520Bombs planted
210Bombs defused

Most-used weapons

Lifetime map wins

3,790dust2
1,492inferno
1,043nuke
117train
86vertigo
39cbble
28aztec
27office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

28Matches
36%Win rate
0.64Avg K/D
64.2ADR
42%Headshot %

Clutches & streaks

50%1v1 clutch win
5%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage757%0.6810.6
Cache667%0.8011.8
Anubis520%0.7512.4
Dust2425%0.489.0
Ancient10%0.397.0
Inferno10%0.8517.0

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.

12.9%Headshot accuracy
34.6%Accuracy (enemy spotted)
35.6%Spray accuracy
63.4%Counter-strafing
11.0°Preaim
619msReaction time
24.5%T opening success
43.9%CT opening success
0.61Enemies flashed / flash
3.4%Flash assists
4.35HE damage / grenade
9.22Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.8722% — below the 15% mark we flag

    Aim Training
  2. 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 24.493% — below the 40% mark we flag

Spend your practice time on Inferno

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient12–120.047%28 Aug
dust26–13-0.0523%27 Aug
dust213–7-0.0320%27 Aug
mirage13–8-0.0223%25 Aug
nuke13–9-0.0613%25 Aug
inferno6–13-0.0210%23 Aug
dust24–13-0.0616%23 Aug
nuke13–60.0110%23 Aug
mirage13–10-0.0610%23 Aug
nuke13–11-0.0119%23 Aug
inferno6–130.0114%23 Aug
dust25–13-0.104%23 Aug
dust211–130.0411%23 Aug
dust213–90.1018%22 Aug
ancient7–10.3322%22 Aug
dust213–11-0.0110%22 Aug
cache11–13-0.085%22 Aug
mirage13–11-0.046%22 Aug
dust213–5-0.069%22 Aug
mirage4–13-0.0717%19 Aug
dust213–16-0.018%19 Aug
anubis13–60.028%19 Aug
anubis13–60.077%19 Aug
ancient4–13-0.022%19 Aug
inferno7–13-0.017%18 Aug
inferno8–13-0.0121%18 Aug
cache15–15-0.0122%15 Aug
dust24–00.0240%15 Aug
mirage10–13-0.0217%15 Aug
ancient13–40.0210%15 Aug
mirage8–130.037%15 Aug
dust211–13-0.0212%15 Aug
mirage6–13-0.0515%15 Aug
anubis13–60.088%15 Aug
ancient3–13-0.076%14 Aug
mirage6–13-0.0410%14 Aug
anubis9–130.0318%14 Aug
cache13–20.0411%14 Aug
dust213–100.0419%12 Aug
mirage14–16-0.0410%12 Aug
dust25–13-0.0810%12 Aug
anubis7–13-0.0514%9 Aug
ancient9–13-0.0314%9 Aug
nuke6–130.0310%9 Aug
ancient13–11-0.059%9 Aug
ancient13–8-0.008%9 Aug
nuke13–50.0114%9 Aug
inferno13–8-0.0312%3 Aug
ancient5–13-0.063%30 Jul
mirage13–11-0.125%30 Jul
dust22–13-0.097%30 Jul
dust212–12-0.1111%30 Jul
cache13–7-0.098%28 Jul
ancient13–50.0517%27 Jul
cache4–13-0.074%27 Jul
nuke13–10-0.029%27 Jul
anubis2–130.0112%27 Jul
mirage11–13-0.0121%27 Jul
cache16–140.0012%27 Jul
mirage8–130.0020%27 Jul
cache8–13-0.0114%27 Jul
mirage3–13-0.138%26 Jul
nuke7–13-0.0711%26 Jul
cache13–16-0.089%25 Jul
ancient13–16-0.097%25 Jul
cache13–9-0.0111%25 Jul
dust213–10.0911%25 Jul
dust213–16-0.0219%24 Jul
dust213–6-0.0512%24 Jul
mirage13–8-0.017%24 Jul
cache13–90.0211%23 Jul
mirage1–13-0.0510%23 Jul
cache13–10.0312%23 Jul
ancient9–13-0.0227%22 Jul
mirage13–50.0311%22 Jul
anubis11–13-0.0123%22 Jul
dust213–60.025%22 Jul
dust28–13-0.0811%22 Jul
mirage13–8-0.0417%22 Jul
dust213–5-0.0912%22 Jul
anubis13–110.037%20 Jul
anubis8–13-0.0315%20 Jul
inferno7–13-0.0211%20 Jul
dust212–16-0.1018%19 Jul
mirage13–30.0121%19 Jul
mirage13–16-0.077%19 Jul
dust28–13-0.0012%19 Jul
dust213–8-0.0316%19 Jul
dust213–30.0516%19 Jul
dust28–13-0.0111%19 Jul
ancient13–9-0.118%19 Jul
cache8–13-0.0226%19 Jul
anubis13–10-0.0510%18 Jul
mirage13–50.0713%18 Jul
ancient16–14-0.0811%18 Jul
mirage13–5-0.059%18 Jul
mirage7–13-0.0817%18 Jul
anubis13–16-0.0318%18 Jul
mirage8–13-0.0713%18 Jul
ancient11–13-0.0121%18 Jul

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 →