Qstone

Qstone — CS2 Stats

76561198974779030[U:1:1014513302]Steam profile ↗✓ No bans

2,684Tracked matches61%Win rate2020Tracked since
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating6,175Light Blue band · top ~73.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (8 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: 6,175 -2,600 19 Aug – 28 Oct · 39 days played
5,0008,775peak 8,77519 Aug28 Oct
9,889Peak Premier in tracked matches
38Days played since 2026-08-19

Premier CS Rating

  • 2,600 below peak (8,775)
  • +824 over 30 days · improving
  • Next: Blue band at 10,000 — 3,825 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-22

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

Share this profile

CSDB.GGQstonePREMIER6,175 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning60
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY45–46–9Last 10045%Win rateLWWLWLWLWL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −0.5pp headshot accuracy · −39ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 12%
  • Avg reaction 628ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 640ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 659ms

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 Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim4.6
Utility2.9
Positioning6.0
Opening Duels4.0

Limited 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.

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

s1mple

Plays most like s1mple 76% 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

Strengths

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 69% on T to 44% on CT — first contacts on the defending side are being lost.

Reaction time. 670ms 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

Aim4.6
Positioning6.0
Utility2.9
Mechanics5.0
Opening Duels6.6
Win Impact8.6

Composite 4.8/10 (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 rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time671ms+25ms
first ⅓ avg 646ms → last ⅓ avg 671ms
Headshot accuracy13.3%+1.8%
first ⅓ avg 11.6% → last ⅓ avg 13.3%

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

0.12Best match rating · 13–4 · dust2, 30 Aug →
29%Best headshot accuracy · 13–4 · mirage, 3 Oct →
453msFastest reaction time · 2–13 · inferno, 23 Aug →
13–1Biggest win · dust2, 11 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–8In matches decided by ≤2 rounds
15Overtime games

Map breakdown

mirageBest map · 65% over 23ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C2712–1544%0.00
mirageS2315–865%0.00
infernoD124–833%-0.02
anubisC125–742%-0.03
ancientD103–730%0.00
nukeD93–633%-0.01
cacheC73–443%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

13.2%Headshot accuracy
33.9%Accuracy (enemy spotted)
37.8%Spray accuracy
72.4%Counter-strafing
10.6°Preaim
670msReaction time
68.9%T opening success
44.0%CT opening success
0.33Enemies flashed / flash
2.5%Flash assists
10.47HE damage / grenade
1.94Flashes / 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 13.1745% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3284 — below the 0.5 mark we flag

    Grenade Lineups →
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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke11–130.0111%28 Oct →
inferno13–110.0813%27 Oct →
mirage13–100.016%27 Oct →
ancient4–130.0318%24 Oct →
dust213–9-0.0013%24 Oct →
mirage10–13-0.0417%24 Oct →
mirage13–8-0.0220%22 Oct →
anubis5–13-0.0412%20 Oct →
ancient13–110.0213%20 Oct →
nuke7–13-0.028%20 Oct →
cache15–15-0.0112%20 Oct →
inferno13–4-0.056%20 Oct →
dust215–15-0.0013%14 Oct →
cache9–130.0513%11 Oct →
nuke16–14-0.0111%11 Oct →
cache13–30.029%11 Oct →
cache9–130.0013%9 Oct →
inferno13–3-0.0212%4 Oct →
cache5–13-0.0320%3 Oct →
mirage13–40.1129%3 Oct →
dust216–130.0715%2 Oct →
cache13–40.017%29 Sept →
mirage13–40.0316%27 Sept →
mirage13–8-0.005%27 Sept →
mirage10–13-0.0011%26 Sept →
anubis13–100.0116%26 Sept →
inferno7–13-0.127%19 Sept →
anubis11–5-0.0519%18 Sept →
nuke16–13-0.0314%18 Sept →
dust211–13-0.0718%17 Sept →
nuke11–13-0.0016%15 Sept →
dust26–13-0.0419%13 Sept →
anubis9–13-0.038%13 Sept →
inferno8–13-0.047%13 Sept →
anubis13–6-0.0316%13 Sept →
mirage13–20.0613%13 Sept →
dust27–13-0.029%11 Sept →
dust213–100.0216%11 Sept →
anubis16–14-0.0414%11 Sept →
ancient7–13-0.006%11 Sept →
anubis15–150.0012%11 Sept →
anubis5–13-0.0813%11 Sept →
dust213–10.0722%11 Sept →
dust215–15-0.0417%11 Sept →
anubis13–10-0.039%10 Sept →
nuke13–70.017%10 Sept →
ancient15–150.038%10 Sept →
mirage13–80.0618%10 Sept →
mirage13–80.017%10 Sept →
inferno5–13-0.0314%9 Sept →
mirage13–100.038%9 Sept →
mirage13–90.058%9 Sept →
mirage13–90.035%9 Sept →
ancient10–13-0.0212%9 Sept →
anubis11–13-0.018%9 Sept →
mirage3–13-0.0316%9 Sept →
ancient11–130.0112%8 Sept →
mirage13–8-0.019%6 Sept →
ancient7–13-0.025%6 Sept →
dust213–10-0.0215%6 Sept →
inferno9–13-0.0313%6 Sept →
dust210–13-0.0316%5 Sept →
nuke10–13-0.036%5 Sept →
inferno13–80.0011%3 Sept →
dust215–15-0.0114%2 Sept →
anubis9–13-0.1014%1 Sept →
ancient11–13-0.0111%30 Aug →
mirage13–90.0117%30 Aug →
nuke5–100.0613%30 Aug →
ancient13–60.0513%30 Aug →
mirage4–13-0.0411%30 Aug →
mirage13–2-0.023%30 Aug →
dust210–130.0217%30 Aug →
dust213–50.046%30 Aug →
dust213–40.1222%30 Aug →
dust214–16-0.038%29 Aug →
dust215–150.0216%29 Aug →
mirage7–13-0.052%29 Aug →
dust213–110.0612%29 Aug →
dust213–80.0413%29 Aug →
mirage15–150.037%29 Aug →
cache13–60.0815%29 Aug →
mirage7–13-0.048%29 Aug →
nuke10–13-0.0310%28 Aug →
dust213–1-0.0314%28 Aug →
dust29–13-0.0215%28 Aug →
dust213–100.019%27 Aug →
inferno2–13-0.067%26 Aug →
dust215–150.018%25 Aug →
anubis9–130.0314%24 Aug →
dust213–5-0.0111%24 Aug →
dust210–130.0418%23 Aug →
ancient13–10-0.046%23 Aug →
inferno2–13-0.039%23 Aug →
dust29–13-0.0513%23 Aug →
mirage8–13-0.0513%20 Aug →
dust210–13-0.0118%19 Aug →
inferno8–130.017%19 Aug →
inferno14–160.0119%19 Aug →
mirage13–11-0.068%19 Aug →

Match data via Leetify.

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.