lqd

lqd — CS2 Stats

76561198247323826[U:1:287058098]Steam profile ↗✓ No bans

564Tracked matches47%Win rate2021Tracked since
1,536Hours in CS38Hrs last 2 wks
CSDB Rating7.5 StrongPositional Player
Premier CS Rating19,379Top 50% of 212,910 CSDB-tracked playersPurple band · top ~11% of ranked players (population est.)
CSDB Leaderboard#94447 of 259655 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (2 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: 19,379 +491 20 Sept – 1 Nov · 20 days played
17,78521,598peak 21,59820 Sept1 Nov
21,598Peak Premier in tracked matches
1,523Highest Faceit ELO seen on CSDB
26Days played since 2026-09-16

Faceit ELO

  • At peak — 1,523
  • Next: Level 8 at 1,531 — 8 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • 2,219 below peak (21,598)
  • +1,330 over 30 days · improving
  • Next: Pink band at 20,000 — 621 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 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 rate46.1%44.4%46.9%meets
Shot accuracy12.7%11.9%13.0%meets
Kill/death ratio1.161.031.08above
Match win rate45.7%45.2%46.7%0.9% short

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

Widest gap: Match win 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.GGlqdPREMIER19,379 · Purple bandPEAK ELO1,523csdb.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

Aim89
Positioning75
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY55–40–5Last 10055%Win rateLLLWLWWLWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +3.2pp headshot accuracy · −12ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 477ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 467ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 473ms

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 (+1.4 against its own average).

Aim8.9
Utility5.8
Positioning7.5
Opening Duels6.5
Clutch4.4

Sharp aimerStrong 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

donk

Plays most like donk 91% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.9
Positioning7.5
Utility5.8
Mechanics8.2
Opening Duels8.3
Win Impact3.9

Composite 7.5/10 (Strong), 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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time491ms−45ms
first ⅓ avg 536ms → last ⅓ avg 491ms
Headshot accuracy19.9%+4.2%
first ⅓ avg 15.8% → last ⅓ avg 19.9%

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

0.43Best match rating · 9–2 · inferno, 17 Oct →
36%Best headshot accuracy · 8–13 · inferno, 1 Nov →
375msFastest reaction time · 13–7 · anubis, 26 Oct →
13–0Biggest win · inferno, 19 Sept →

Across the last 100 tracked matches.

Highlights

13Longest win streak
L3Current streak
7–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 67% over 15dust2Weakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
infernoA2112–957%0.07
dust2D175–1229%0.02
anubisS1510–567%0.02
ancientB137–654%0.02
nukeB126–650%0.00
mirageA117–464%0.03
cacheA85–363%0.05
train—33–0100%0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,993Lifetime kills
1.16K/D · Top 25% of Purple band
2,099Matches
45.7%Match win rate · Top 50% of Purple band
46.1%Headshot % · Top 50% of Purple band
12.7%Shot accuracy · Top 50% of Purple band
4,387MVPs
848Hours (in match)
1,653Bombs planted
358Bombs defused

Most-used weapons

Lifetime map wins

4,271dust2
4,063inferno
1,806nuke
330train
270vertigo
36office
16lake
9ar_shoots

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

Faceit stats

Combat

291Matches
55%Win rate
1.16Avg K/D
82.0ADR
40%Headshot %

Clutches & streaks

42%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust23158%1.3616.4
Mirage3057%1.2615.5
Ancient1479%1.0717.0
Inferno729%1.0617.4
Nuke757%1.0318.6
Overpass683%1.4919.8
Train425%1.2219.8
Anubis10%0.7112.0

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.

20.3%Headshot accuracy
37.1%Accuracy (enemy spotted)
33.3%Spray accuracy
86.8%Counter-strafing
7.0°Preaim
493msReaction time
59.5%T opening success
66.9%CT opening success
0.63Enemies flashed / flash
7.4%Flash assists
8.46HE damage / grenade
7.68Flashes / match

Recommended for you

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.

29% win rate across 17 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
inferno8–130.0136%1 Nov →
nuke5–13-0.0513%1 Nov →
inferno8–130.0623%31 Oct →
anubis13–50.0520%31 Oct →
anubis7–130.0116%31 Oct →
mirage13–70.0617%31 Oct →
ancient13–110.0421%31 Oct →
ancient11–130.0816%31 Oct →
inferno13–60.0214%31 Oct →
dust216–140.1021%31 Oct →
inferno10–30.0316%31 Oct →
anubis13–70.014%26 Oct →
mirage13–5-0.0425%26 Oct →
dust28–130.0716%25 Oct →
dust26–13-0.024%25 Oct →
ancient13–40.1524%25 Oct →
inferno6–13-0.0235%25 Oct →
ancient5–13-0.0513%24 Oct →
ancient11–130.0520%24 Oct →
ancient13–20.027%24 Oct →
dust25–13-0.0011%24 Oct →
inferno5–13-0.0029%22 Oct →
dust26–13-0.0529%22 Oct →
ancient13–10-0.0129%22 Oct →
dust211–130.0529%22 Oct →
cache13–90.0925%22 Oct →
inferno7–9-0.0715%21 Oct →
mirage14–16-0.0120%20 Oct →
anubis13–3-0.0028%20 Oct →
dust213–8-0.0124%20 Oct →
mirage2–13-0.0419%18 Oct →
cache11–130.0923%18 Oct →
inferno13–50.1518%18 Oct →
train13–20.2018%17 Oct →
dust210–13-0.0222%17 Oct →
inferno13–70.0615%17 Oct →
dust28–130.0018%17 Oct →
inferno9–40.3012%17 Oct →
inferno9–20.4332%17 Oct →
inferno7–90.0714%17 Oct →
inferno4–90.0817%17 Oct →
dust28–13-0.0014%17 Oct →
anubis11–13-0.024%17 Oct →
nuke13–100.0723%16 Oct →
mirage13–20.069%16 Oct →
inferno13–10-0.0311%14 Oct →
anubis13–110.0417%14 Oct →
dust213–10-0.0027%14 Oct →
mirage13–20.0719%13 Oct →
mirage13–40.0716%13 Oct →
anubis13–10-0.0110%11 Oct →
inferno9–10.1325%11 Oct →
nuke13–70.0516%11 Oct →
ancient13–10.0010%11 Oct →
cache13–10.1629%11 Oct →
ancient13–60.0618%11 Oct →
ancient10–13-0.0014%11 Oct →
ancient13–9-0.0213%11 Oct →
nuke13–10-0.0310%7 Oct →
anubis13–11-0.0021%6 Oct →
ancient5–13-0.0323%4 Oct →
inferno15–15-0.076%4 Oct →
cache7–130.0215%4 Oct →
nuke13–60.0616%4 Oct →
nuke13–70.0620%4 Oct →
train13–8-0.0219%4 Oct →
inferno13–110.0113%4 Oct →
anubis13–10.0819%4 Oct →
cache13–100.1518%4 Oct →
anubis13–70.0621%29 Sept →
nuke15–150.0314%29 Sept →
dust213–40.0826%29 Sept →
mirage15–150.0714%27 Sept →
mirage4–13-0.0211%27 Sept →
mirage13–40.1021%27 Sept →
nuke14–160.0215%27 Sept →
anubis7–130.0316%27 Sept →
inferno13–4-0.0113%27 Sept →
cache7–13-0.0230%26 Sept →
nuke1–13-0.047%26 Sept →
anubis9–13-0.0619%26 Sept →
cache13–9-0.059%26 Sept →
dust215–15-0.0113%24 Sept →
dust212–120.1019%23 Sept →
inferno8–130.0615%23 Sept →
dust27–130.0513%23 Sept →
inferno13–80.1315%20 Sept →
ancient7–130.0216%20 Sept →
nuke13–80.0016%20 Sept →
anubis9–13-0.0117%19 Sept →
inferno13–00.116%19 Sept →
mirage13–70.0010%19 Sept →
dust28–13-0.0216%19 Sept →
nuke8–13-0.0415%17 Sept →
anubis13–90.0224%17 Sept →
cache13–11-0.0716%16 Sept →
dust213–70.0018%16 Sept →
nuke4–13-0.096%16 Sept →
train13–110.0411%16 Sept →
anubis13–10.0921%16 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 Matches13-Win Streak
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.