Q3K

Q3K — CS2 Stats

76561199466063955[U:1:1505798227]Steam profile ↗✓ No bans

1,357Tracked matches41%Win rate2023Tracked since
5,264Hours in CS22Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
Premier CS Rating19,274Top 50% of 213,211 CSDB-tracked playersPurple band · top ~11.4% of ranked players (population est.)
CSDB Leaderboard#96027 of 259949 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (13 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.

Rating over time

Premier CS Rating: 19,274 -3,644 22 Jun – 23 Oct · 18 days played
17,84023,571peak 23,57122 Jun23 Oct
23,571Peak Premier in tracked matches
52Days played since 2026-06-22

Premier CS Rating

  • 4,297 below peak (23,571)
  • -312 over 30 days · steady
  • Next: Pink band at 20,000 — 726 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate43.9%46.8%48.2%4.3% short
Shot accuracy1.2%13.0%13.2%12.0% short
Kill/death ratio1.231.061.07above
Match win rate52.3%46.3%46.9%above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGQ3KFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER19,274 · Purple 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

Aim64
Positioning53
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY45–47–8Last 10045%Win rateWLLLWLWLWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −3.1pp headshot accuracy · −15ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 538ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 528ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 536ms

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 (+1.4 against its own average).

Aim6.4
Utility6.0
Positioning5.3
Opening Duels3.4
Clutch3.8

Effective flashes

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

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: utility contribution, 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 →

CSDB Rating breakdown

Aim6.4
Positioning5.3
Utility6.0
Mechanics5.5
Opening Duels3.0
Win Impact2.1

Composite 5.2/10 (Developing), 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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time514ms−40ms
first ⅓ avg 553ms → last ⅓ avg 514ms
Headshot accuracy14.4%−2.2%
first ⅓ avg 16.6% → last ⅓ avg 14.4%

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

0.10Best match rating · 13–1 · cache, 3 Aug →
43%Best headshot accuracy · 0–5 · inferno, 27 Jun →
359msFastest reaction time · 6–13 · mirage, 5 Sept →
13–0Biggest win · anubis, 16 Jul →

Across the last 100 tracked matches.

Highlights

3Longest win streak
10–5In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 52% over 33dust2Weakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB3317–1652%0.00
cacheB209–1145%0.01
anubisC188–1044%-0.01
ancientB147–750%-0.00
infernoC73–443%-0.02
dust2D60–60%-0.03
nuke—21–150%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

189,147Lifetime kills
1.23K/D · Top 25% of Level 8 players
9,544Matches
52.3%Match win rate · Top 10% of Level 8 players
43.9%Headshot %
1.2%Shot accuracy
16,798MVPs
3,844Hours (in match)
6,852Bombs planted
1,652Bombs defused

Most-used weapons

AK-4778,402
AWP32,187
Knife3,559
MAC-103,433
Tec-93,076

Lifetime map wins

16,269inferno
10,920dust2
4,919nuke
3,539vertigo
888train
106italy
101office
66ar_shoots

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

Faceit stats

Combat

227Matches
52%Win rate
1.03Avg K/D
73.8ADR
41%Headshot %

Clutches & streaks

39%1v1 clutch win
24%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4641%1.1016.2
Inferno4556%1.1315.1
Anubis3462%1.0714.6
Ancient2471%1.1416.2
Dust21662%1.2815.4
Cache922%0.8012.2
Nuke580%1.1214.6
Overpass425%0.9114.0

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.

14.6%Headshot accuracy
32.5%Accuracy (enemy spotted)
32.6%Spray accuracy
74.9%Counter-strafing
9.1°Preaim
513msReaction time
41.4%T opening success
42.9%CT opening success
0.70Enemies flashed / flash
5.0%Flash assists
6.08HE damage / grenade
14.22Flashes / 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 14.5787% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Dust 2

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–5-0.0316%23 Oct →
mirage2–13-0.117%23 Oct →
nuke9–130.0315%23 Oct →
dust28–13-0.0521%23 Oct →
mirage13–11-0.0213%11 Oct →
cache8–130.0323%10 Oct →
mirage13–9-0.0215%7 Oct →
dust20–13-0.1125%3 Oct →
anubis13–110.008%24 Sept →
ancient7–13-0.0211%24 Sept →
cache13–2-0.0429%23 Sept →
dust28–13-0.0025%21 Sept →
ancient10–130.003%17 Sept →
dust29–13-0.0421%10 Sept →
mirage13–70.0832%10 Sept →
ancient7–13-0.0324%10 Sept →
mirage9–13-0.0612%8 Sept →
ancient13–4-0.025%5 Sept →
ancient13–5-0.037%5 Sept →
mirage6–130.0626%5 Sept →
cache8–13-0.0214%5 Sept →
inferno11–130.0316%4 Sept →
cache13–10-0.0111%4 Sept →
mirage15–15-0.037%1 Sept →
dust29–130.0212%30 Aug →
cache13–40.0411%29 Aug →
anubis4–13-0.005%29 Aug →
anubis13–7-0.048%28 Aug →
inferno13–80.0217%28 Aug →
anubis4–130.018%27 Aug →
mirage13–60.048%27 Aug →
anubis2–13-0.0119%26 Aug →
anubis3–13-0.104%23 Aug →
anubis8–13-0.0120%23 Aug →
mirage13–90.0610%22 Aug →
mirage12–12-0.0119%22 Aug →
anubis13–7-0.0514%21 Aug →
mirage11–130.0416%20 Aug →
mirage16–140.0413%20 Aug →
anubis9–13-0.0215%20 Aug →
ancient13–110.0316%20 Aug →
mirage9–13-0.0310%19 Aug →
mirage0–11-0.130%18 Aug →
mirage13–110.0314%17 Aug →
anubis9–13-0.0112%17 Aug →
mirage13–110.0416%10 Aug →
inferno12–120.0415%9 Aug →
ancient13–100.0732%9 Aug →
mirage12–12-0.0129%9 Aug →
cache10–13-0.0415%9 Aug →
ancient13–3-0.0015%8 Aug →
cache12–120.0519%7 Aug →
mirage13–90.0114%7 Aug →
ancient13–90.0111%7 Aug →
cache12–12-0.0219%7 Aug →
mirage5–13-0.0524%6 Aug →
ancient10–13-0.0129%6 Aug →
anubis13–110.0015%5 Aug →
anubis13–6-0.0124%5 Aug →
nuke13–110.0114%5 Aug →
cache4–13-0.049%4 Aug →
mirage13–8-0.0120%3 Aug →
cache13–10.1014%3 Aug →
cache13–70.0213%27 Jul →
anubis11–130.0213%27 Jul →
cache13–90.0913%26 Jul →
mirage13–80.0116%26 Jul →
mirage13–80.0613%25 Jul →
cache7–13-0.0224%25 Jul →
mirage12–12-0.039%25 Jul →
mirage8–13-0.0317%25 Jul →
mirage11–130.0623%24 Jul →
cache13–80.0424%24 Jul →
ancient10–13-0.0215%24 Jul →
inferno13–7-0.0513%21 Jul →
mirage7–13-0.0412%16 Jul →
cache2–80.0214%16 Jul →
ancient7–13-0.0110%16 Jul →
anubis13–00.0913%16 Jul →
mirage13–5-0.0114%16 Jul →
cache7–13-0.0326%14 Jul →
mirage13–80.0523%13 Jul →
cache10–130.0310%13 Jul →
cache13–90.0116%12 Jul →
ancient4–13-0.0410%12 Jul →
mirage9–130.0629%9 Jul →
cache13–4-0.0210%8 Jul →
inferno13–11-0.009%4 Jul →
anubis13–11-0.0517%4 Jul →
anubis5–13-0.0915%2 Jul →
inferno7–13-0.0413%28 Jun →
inferno0–5-0.1543%27 Jun →
dust211–130.0218%27 Jun →
mirage13–7-0.0217%27 Jun →
anubis12–120.0720%26 Jun →
cache7–13-0.0111%25 Jun →
mirage13–70.1019%25 Jun →
anubis13–90.0023%25 Jun →
ancient13–40.0311%25 Jun →
mirage1–13-0.017%22 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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