Quatz

Quatz — CS2 Stats

AU76561198048810399[U:1:88544671]Steam profile ↗1 game ban

691Tracked matches56%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 691 tracked matches. Play, then come back: the next observation lands here.

Rating over time

53Days played since 2025-06-23

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim72
Positioning57
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY59–34–7Last 10059%Win rateWWWLLLWWWL

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −6.6pp headshot accuracy · −16ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 519ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 541ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 549ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim7.2
Utility5.7
Positioning5.7
Opening Duels3.7
Clutch0.0

Strong CT-side opener

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ZywOo

Plays most like ZywOo 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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 55% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 563ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.2
Positioning5.7
Utility5.7
Mechanics7.3
Opening Duels3.1
Win Impact6.9

Composite 6.3/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time566ms−49ms
first ⅓ avg 615ms → last ⅓ avg 566ms
Headshot accuracy21.0%−1.1%
first ⅓ avg 22.1% → last ⅓ avg 21.0%

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.

Personal bests

0.15Best match rating · 10–1 · dust2, 2 Jul →
50%Best headshot accuracy · 13–3 · anubis, 2 Jul →
344msFastest reaction time · 2–13 · train, 7 Dec →
13–0Biggest win · mirage, 2 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
8–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 86% over 7ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA2917–1259%0.01
dust2B2814–1450%0.01
nukeS107–370%0.01
trainA95–456%-0.01
infernoS76–186%0.00
cacheB63–350%0.01
ancientC52–340%-0.00
overpass—43–175%0.02
anubis—22–0100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

209Matches
55%Win rate
1.50Avg K/D
76.0ADR
36%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis2100%2.6024.0
Ancient250%2.2713.0
Mirage250%1.0215.5
Vertigo250%1.6618.0
Nuke1100%8.0024.0

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.

20.4%Headshot accuracy
31.6%Accuracy (enemy spotted)
35.4%Spray accuracy
82.7%Counter-strafing
9.4°Preaim
563msReaction time
30.0%T opening success
54.7%CT opening success
0.61Enemies flashed / flash
9.5%Flash assists
7.15HE damage / grenade
9.52Flashes / 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 29.967% — below the 40% mark we flag

Spend your practice time on Ancient

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–8-0.0122%2 Sept →
mirage13–00.0820%2 Sept →
mirage13–90.018%25 Aug →
dust211–130.0117%6 Aug →
cache10–13-0.0312%3 Aug →
dust25–13-0.0218%30 Jul →
dust213–20.0518%30 Jul →
dust213–00.0225%30 Jul →
dust213–10.0211%30 Jul →
mirage8–13-0.019%22 Jul →
dust29–130.0213%20 Jul →
dust212–12-0.0217%20 Jul →
dust29–13-0.0519%14 Jul →
dust213–110.0631%13 Jul →
dust210–130.0133%8 Jul →
mirage13–10-0.0119%8 Jul →
mirage11–130.0628%1 Jul →
inferno13–50.0525%28 Jun →
dust212–120.0424%21 Jun →
mirage9–130.0216%7 Jun →
inferno13–3-0.0223%7 Jun →
mirage8–130.0016%7 Jun →
inferno8–13-0.0413%4 Jun →
dust213–70.0221%4 Jun →
cache12–12-0.0115%3 Jun →
mirage9–13-0.0721%1 Jun →
nuke13–30.0633%1 Jun →
anubis13–40.0318%1 Jun →
nuke13–8-0.0427%31 May →
cache13–60.0342%31 May →
ancient13–50.0630%31 May →
inferno13–40.0225%31 May →
cache10–13-0.0124%24 May →
cache13–60.0523%6 May →
cache13–80.0014%6 May →
dust25–13-0.0218%20 Apr →
train7–1-0.0229%22 Dec →
mirage13–11-0.0220%22 Dec →
overpass13–90.0412%14 Dec →
train2–13-0.0631%7 Dec →
ancient12–120.0328%22 Nov →
mirage6–13-0.0117%13 Nov →
dust23–13-0.0518%31 Aug →
train13–11-0.0018%18 Aug →
ancient5–00.0117%11 Aug →
dust26–13-0.0221%7 Aug →
overpass13–100.0020%5 Aug →
mirage8–20.0844%5 Aug →
dust213–90.0117%5 Aug →
inferno13–6-0.0117%4 Aug →
nuke13–11-0.0316%3 Aug →
nuke13–110.0518%3 Aug →
mirage13–7-0.0313%3 Aug →
ancient5–13-0.0614%3 Aug →
nuke13–100.0026%2 Aug →
mirage10–130.0622%1 Aug →
dust25–130.0818%1 Aug →
nuke13–10.0410%1 Aug →
overpass7–90.0227%31 Jul →
inferno13–30.0221%31 Jul →
train4–13-0.0314%31 Jul →
nuke9–130.0416%29 Jul →
nuke13–20.0822%29 Jul →
dust213–50.0117%29 Jul →
mirage13–60.0214%29 Jul →
mirage13–100.0412%29 Jul →
mirage11–30.0519%29 Jul →
dust213–60.0228%29 Jul →
mirage2–13-0.0411%24 Jul →
dust27–13-0.0620%24 Jul →
dust213–40.0135%22 Jul →
train13–100.0419%22 Jul →
overpass13–100.0318%21 Jul →
mirage13–00.0740%20 Jul →
train12–120.0216%20 Jul →
nuke7–13-0.037%19 Jul →
train13–70.0224%19 Jul →
dust213–7-0.0012%17 Jul →
train5–13-0.0419%17 Jul →
dust215–150.0229%17 Jul →
mirage10–13-0.0221%16 Jul →
mirage13–1-0.0229%16 Jul →
dust213–100.0814%16 Jul →
train13–20.0421%16 Jul →
dust213–10-0.0427%15 Jul →
mirage13–4-0.0329%15 Jul →
mirage10–130.0633%14 Jul →
dust27–13-0.0221%14 Jul →
nuke8–13-0.086%9 Jul →
mirage13–30.028%9 Jul →
dust213–110.0417%8 Jul →
mirage13–11-0.0116%7 Jul →
dust210–10.1546%2 Jul →
mirage13–50.0611%2 Jul →
mirage9–130.0115%2 Jul →
anubis13–3-0.0250%2 Jul →
ancient5–13-0.0523%26 Jun →
mirage12–12-0.0519%25 Jun →
mirage13–110.0120%23 Jun →
mirage13–60.0328%23 Jun →

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 →

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