Quasi

Quasi — CS2 Stats

76561198002596801[U:1:42331073]Steam profile ↗✓ No bans

425Tracked matches57%Win rate2020Tracked since
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating7,884Light Blue band · top ~65% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 34 days played since 25 Oct 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 7,884 +2,390 4 Sept17 Sept · 9 days played
5,0497,884peak 7,8844 Sept17 Sept
8,053Peak Premier in tracked matches
34Days played since 2024-10-25

Premier CS Rating

  • At peak — 7,884
  • Next: Blue band at 10,000 2,116 to go
  • Reached: Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGQuasiFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER7,884 · 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

Aim50
Positioning67
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY46522Last 10046%Win rateLWWLLWWLWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −1.9pp headshot accuracy · +4ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 563ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 592ms

Last 20

  • 128 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 590ms

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: Positional PlayerPositioning stands above the rest of this profile (+2.2 against its own average).

Aim5.0
Utility5.8
Positioning6.7
Opening Duels5.4
Clutch0.0

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 68% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 604ms 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

Aim5.0
Positioning6.7
Utility5.8
Mechanics5.9
Opening Duels6.8
Win Impact7.2

Composite 5.4/10 (Developing), 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 rating0.02+0.06
first ⅓ avg -0.03 → last ⅓ avg 0.02
Reaction time608ms−54ms
first ⅓ avg 661ms → last ⅓ avg 608ms
Headshot accuracy14.9%−0.6%
first ⅓ avg 15.5% → last ⅓ avg 14.9%

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

0.17Best match rating · 13–3 · dust2, 15 Sept
35%Best headshot accuracy · 3–13 · dust2, 18 Jul
438msFastest reaction time · 6–13 · mirage, 25 Oct
13–1Biggest win · dust2, 15 Sept

Across the last 100 tracked matches.

Highlights

8Longest win streak
38In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 71% over 17anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC33132039%-0.00
dust2S1712571%0.04
mirageC167944%-0.01
ancientB115645%0.01
nukeD72529%-0.05
anubisD51420%0.02
cacheA53260%-0.01
train31233%-0.01
shelter110100%-0.01
overpass1010%-0.03
italy110100%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

19Matches
32%Win rate
0.92Avg K/D
51.6ADR
32%Headshot %

Clutches & streaks

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

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.568.5
Inferno2100%0.7010.5
Nuke10%0.142.0
Ancient10%0.5713.0

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.

14.1%Headshot accuracy
31.5%Accuracy (enemy spotted)
27.8%Spray accuracy
76.5%Counter-strafing
9.1°Preaim
604msReaction time
58.8%T opening success
55.5%CT opening success
0.50Enemies flashed / flash
6.6%Flash assists
14.98HE damage / grenade
9.16Flashes / 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 14.139% — below the 15% mark we flag

    Aim Training
Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0521%17 Sept
dust213–70.0326%17 Sept
inferno13–8-0.015%17 Sept
anubis9–130.0019%16 Sept
nuke11–13-0.0315%16 Sept
inferno13–20.1015%16 Sept
inferno13–5-0.009%15 Sept
mirage1–60.1111%15 Sept
dust213–30.0416%15 Sept
dust213–100.069%15 Sept
ancient13–20.0813%15 Sept
dust213–10.0622%15 Sept
dust213–30.1712%15 Sept
dust213–50.0721%12 Sept
inferno13–50.0519%12 Sept
dust213–70.0916%12 Sept
inferno9–130.0120%11 Sept
cache6–13-0.0410%11 Sept
anubis11–13-0.039%11 Sept
inferno10–13-0.0423%11 Sept
mirage11–13-0.0313%11 Sept
inferno8–13-0.0411%11 Sept
dust213–100.0812%11 Sept
mirage13–10-0.0414%11 Sept
mirage9–13-0.0514%10 Sept
anubis11–130.026%10 Sept
cache13–5-0.056%10 Sept
ancient13–110.0110%9 Sept
inferno16–130.0714%9 Sept
inferno5–80.0017%7 Sept
inferno13–50.0926%4 Sept
dust213–20.0420%4 Sept
mirage16–120.0218%4 Sept
ancient13–6-0.016%4 Sept
dust213–20.0319%4 Sept
ancient13–80.0116%4 Sept
nuke13–8-0.0326%4 Sept
inferno6–130.0411%2 Sept
nuke13–7-0.0318%1 Sept
mirage6–13-0.039%1 Sept
dust213–70.1231%1 Sept
inferno13–60.0915%31 Aug
mirage9–13-0.0517%31 Aug
ancient11–20.0116%24 Aug
mirage9–130.0129%24 Aug
mirage13–60.0313%23 Aug
inferno13–70.0718%23 Aug
anubis13–40.0913%23 Aug
ancient9–13-0.0318%18 Aug
inferno9–13-0.0314%18 Aug
cache13–40.069%23 Jul
nuke6–130.0110%22 Jul
nuke5–13-0.0217%21 Jul
inferno9–13-0.0317%21 Jul
ancient2–130.0422%21 Jul
cache13–80.0020%21 Jul
nuke8–13-0.0314%20 Jul
shelter13–5-0.0121%19 Jul
dust23–13-0.0335%18 Jul
mirage7–13-0.018%10 Jul
ancient10–13-0.0112%10 Jul
inferno10–130.0015%8 Jul
inferno3–13-0.0418%8 Jul
inferno2–13-0.0221%8 Jul
train2–130.0121%8 Jul
cache2–13-0.0416%8 Jul
overpass7–13-0.0317%16 Aug
inferno3–13-0.068%16 Aug
dust25–13-0.088%14 Jul
ancient11–13-0.036%14 Jul
inferno9–13-0.016%14 Jul
dust27–13-0.0613%14 Jul
train13–5-0.057%14 Jul
inferno7–13-0.0716%26 Jun
mirage13–110.0113%26 Jun
dust210–130.0025%26 Jun
anubis9–13-0.0119%26 Jun
dust21–130.0434%26 Jun
mirage16–120.0118%26 Jun
dust213–40.024%26 Jun
mirage13–8-0.0724%30 Jan
inferno5–13-0.0312%7 Jan
inferno6–13-0.0619%27 Dec
train6–130.0031%27 Dec
inferno11–13-0.0314%13 Nov
nuke0–9-0.2331%9 Nov
inferno13–8-0.0326%9 Nov
inferno13–70.0310%9 Nov
inferno5–13-0.076%27 Oct
inferno7–10.0411%27 Oct
mirage12–10.018%27 Oct
inferno11–13-0.0230%26 Oct
inferno12–12-0.0917%26 Oct
italy13–11-0.0319%26 Oct
ancient12–120.0219%26 Oct
inferno13–8-0.0214%25 Oct
ancient13–16-0.0414%25 Oct
mirage11–13-0.0313%25 Oct
inferno13–10-0.039%25 Oct
mirage6–13-0.107%25 Oct

Match data via Leetify.

Recent teammates

Milestones

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