Quan Ching

Quan Ching — CS2 Stats

CN76561198040092891[U:1:79827163]Steam profile ↗✓ No bans

1,457Tracked matches55%Win rate2020Tracked since
5,634Hours in CS7Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
Premier CS Rating18,889Top 50% of 201,122 CSDB-tracked playersPurple band · top ~12.9% of ranked players (population est.)
CSDB Leaderboard#95614 of 247939 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 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.

Rating over time

Premier CS Rating: 18,889 -2,926 3 Jul – 29 Sept · 34 days played
16,93822,525peak 22,5253 Jul29 Sept
22,525Peak Premier in tracked matches
43Days played since 2026-07-03

Premier CS Rating

  • 3,636 below peak (22,525)
  • -333 over 30 days · steady
  • -2,926 over 90 days
  • Next: Pink band at 20,000 — 1,111 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-06
  • Blue band first seen 2026-09-06

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches26——
Win rate42%——
K/D0.88——
Headshot %52%——

Measured 1 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate35.3%44.3%46.9%11.6% short
Shot accuracy16.3%11.9%13.0%above
Kill/death ratio1.321.031.08above
Match win rate50.2%45.2%46.7%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGQuan ChingPREMIER18,889 · 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

Aim56
Positioning61
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateWLWWLLLLWL

Last 10 vs previous 10: 0pp win rate · −0.05 avg rating · +1.7pp headshot accuracy · −102ms 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 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 494ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 497ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 548ms

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 against its own average).

Aim5.6
Utility5.6
Positioning6.1
Opening Duels3.7

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

jL

Plays most like jL 79% 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

Reaction time. 570ms 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

Aim5.6
Positioning6.1
Utility5.6
Mechanics4.6
Opening Duels4.8
Win Impact6.7

Composite 5.6/10 (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+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time571ms−47ms
first ⅓ avg 618ms → last ⅓ avg 571ms
Headshot accuracy15.4%−0.6%
first ⅓ avg 16.0% → last ⅓ avg 15.4%

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

0.15Best match rating · 13–3 · anubis, 8 Sept →
50%Best headshot accuracy · 2–0 · inferno, 25 Jul →
406msFastest reaction time · 11–13 · ancient, 15 Aug →
13–1Biggest win · ancient, 30 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
13–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 64% over 14ancientWeakest map · 32% over 22
MapGradePlayedRecordWin rateAvg rating
ancientD227–1532%-0.01
infernoA1710–759%0.03
anubisC167–944%-0.00
mirageA149–564%0.00
cacheC125–742%-0.02
dust2A85–363%0.01
nukeB63–350%-0.01
vertigoC52–340%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

163,229Lifetime kills
1.32K/D · Top 10% of Purple band
7,972Matches
50.2%Match win rate · Top 25% of Purple band
35.3%Headshot %
16.3%Shot accuracy · Top 25% of Purple band
23,271MVPs
2,758Hours (in match)
7,871Bombs planted
1,725Bombs defused

Most-used weapons

AK-4740,887
AWP20,847
SCAR-208,559
G3SG17,703
P2505,874
P903,530

Lifetime map wins

14,661dust2
13,707lake
4,037inferno
2,138vertigo
2,015nuke
860office
412train
257cbble

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

Faceit stats

Combat

23Matches
43%Win rate
1.05Avg K/D
—ADR
36%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage650%1.0617.8
Vertigo333%1.1015.7
Ancient30%1.0017.7
Anubis333%1.2219.7
Overpass2100%0.7011.0
Inferno10%0.578.0
Nuke10%1.1218.0

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.

15.1%Headshot accuracy
32.7%Accuracy (enemy spotted)
34.4%Spray accuracy
70.9%Counter-strafing
9.8°Preaim
570msReaction time
52.8%T opening success
45.7%CT opening success
0.61Enemies flashed / flash
3.8%Flash assists
8.71HE damage / grenade
9.53Flashes / match

Recommended for you

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.

32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–100.0122%30 Sept →
anubis10–130.006%29 Sept →
mirage16–140.0814%29 Sept →
mirage13–10-0.048%27 Sept →
ancient9–13-0.0413%27 Sept →
vertigo1–13-0.0811%24 Sept →
cache10–13-0.0620%22 Sept →
ancient8–13-0.0820%21 Sept →
nuke13–5-0.0812%20 Sept →
nuke4–13-0.0420%15 Sept →
inferno10–130.0614%15 Sept →
anubis13–100.0816%13 Sept →
inferno13–80.0114%13 Sept →
ancient7–13-0.046%13 Sept →
nuke8–13-0.0411%12 Sept →
nuke5–130.0117%10 Sept →
dust214–16-0.0011%9 Sept →
mirage13–10-0.0115%9 Sept →
anubis13–30.1511%8 Sept →
cache9–13-0.0215%8 Sept →
ancient13–11-0.029%8 Sept →
inferno13–80.0715%8 Sept →
ancient6–13-0.0510%7 Sept →
dust213–8-0.0327%3 Sept →
mirage13–110.0115%30 Aug →
anubis13–30.0621%27 Aug →
inferno15–150.0518%26 Aug →
ancient16–130.0522%26 Aug →
inferno13–80.1018%25 Aug →
mirage13–40.0721%25 Aug →
cache13–60.0318%23 Aug →
cache6–13-0.0521%23 Aug →
cache16–140.0017%21 Aug →
mirage13–11-0.0313%21 Aug →
inferno5–13-0.0613%20 Aug →
ancient3–13-0.0525%20 Aug →
cache13–110.0517%17 Aug →
anubis13–9-0.0811%17 Aug →
inferno9–130.0219%17 Aug →
ancient2–13-0.087%16 Aug →
mirage7–13-0.0413%16 Aug →
inferno13–80.0119%15 Aug →
dust213–110.0416%15 Aug →
ancient11–130.0622%15 Aug →
vertigo9–130.0012%13 Aug →
inferno16–130.1017%13 Aug →
mirage13–8-0.026%13 Aug →
mirage13–80.009%13 Aug →
ancient4–130.0214%10 Aug →
ancient8–130.019%8 Aug →
anubis14–16-0.0511%6 Aug →
dust213–50.0020%6 Aug →
dust27–13-0.0113%6 Aug →
ancient6–130.0311%6 Aug →
anubis9–13-0.039%6 Aug →
inferno10–130.0113%6 Aug →
nuke13–80.0317%6 Aug →
inferno3–13-0.0218%5 Aug →
anubis16–120.058%5 Aug →
ancient7–13-0.0115%5 Aug →
ancient4–13-0.0822%5 Aug →
inferno13–110.0418%5 Aug →
anubis6–13-0.0622%31 Jul →
cache13–6-0.0718%30 Jul →
vertigo7–130.0222%30 Jul →
ancient13–1-0.0011%30 Jul →
nuke13–70.0428%30 Jul →
anubis13–3-0.019%27 Jul →
inferno13–80.0423%27 Jul →
mirage8–130.0514%27 Jul →
cache11–13-0.0216%25 Jul →
cache6–13-0.0718%25 Jul →
anubis8–130.0116%25 Jul →
anubis11–13-0.0518%25 Jul →
inferno2–0-0.0450%25 Jul →
anubis13–90.0012%25 Jul →
dust211–130.0215%25 Jul →
ancient9–13-0.006%24 Jul →
inferno13–40.1113%24 Jul →
ancient13–110.006%23 Jul →
dust213–60.0914%23 Jul →
mirage6–13-0.1012%23 Jul →
ancient11–13-0.0615%21 Jul →
cache13–110.0220%21 Jul →
mirage12–16-0.0117%21 Jul →
anubis7–13-0.0419%21 Jul →
ancient8–13-0.0424%21 Jul →
vertigo13–100.0323%21 Jul →
cache1–13-0.1118%21 Jul →
inferno7–13-0.0411%21 Jul →
vertigo13–30.0324%21 Jul →
mirage13–110.049%20 Jul →
anubis5–13-0.0613%20 Jul →
inferno13–70.0223%20 Jul →
anubis11–13-0.048%17 Jul →
cache10–130.0215%9 Jul →
ancient13–40.1311%9 Jul →
ancient13–10-0.0410%5 Jul →
ancient13–11-0.0215%4 Jul →
mirage11–130.038%3 Jul →

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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