liquidline

liquidline — CS2 Stats

76561198272971219[U:1:312705491]Steam profile ↗✓ No bans

4,323Tracked matches55%Win rate2021Tracked since
4,350Hours in CS
CSDB Rating4.7 DevelopingPositional Player
FaceitLevel 6 · 1,670 ELOTop 54.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,670 → 1,670
+17Tracked matches · now 4,323
−9.1ppWin rate · 64.3% → 55.2%
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. 30 days played since 15 Apr 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 21,503 -1,696 15 Apr5 Jul · 3 days played
21,50324,223peak 24,22315 Apr5 Jul
Faceit ELO: 1,670 +0 31 Aug8 Sept · 3 observations
1,6701,670peak 1,67031 Aug8 Sept
24,223Peak Premier in tracked matches
1,670Highest Faceit ELO seen on CSDB
30Days played since 2026-04-15

Faceit ELO

  • At peak — 1,670
  • Next: Level 9 at 1,751 81 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-31
  • Level 7 first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=12,275), 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 6 medianLevel 7 medianvs Level 7
Headshot rate49.3%44.8%45.7%above
Shot accuracy12.0%12.5%12.7%0.7% short
Kill/death ratio0.711.031.050.34 short
Match win rate46.9%45.2%45.7%above

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGliquidlineFACEITLevel 6 · 1,670 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,670csdb.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

Aim67
Positioning39
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY48457Last 10048%Win rateLWWLLWLLWL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +6.1pp headshot accuracy · −55ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 553ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 548ms

Last 20

  • 1010 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 575ms

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 (+0.8 against its own average).

Aim6.7
Utility2.5
Positioning3.9
Opening Duels2.2
Clutch3.6

Strong CT-side openerLimited 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

ropz

Plays most like ropz 93% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

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

Reaction time. 581ms 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

Aim6.7
Positioning3.9
Utility2.5
Mechanics5.6
Opening Duels2.4
Win Impact6.7

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time577ms−77ms
first ⅓ avg 654ms → last ⅓ avg 577ms
Headshot accuracy20.9%−2.2%
first ⅓ avg 23.1% → last ⅓ avg 20.9%

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

0.20Best match rating · 9–1 · inferno, 25 Jul
63%Best headshot accuracy · 0–9 · inferno, 7 Sept
406msFastest reaction time · 9–2 · inferno, 14 Aug
13–1Biggest win · dust2, 20 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
104In matches decided by ≤2 rounds
1Overtime games

Map breakdown

trainBest map · 80% over 5ancientWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B26141254%-0.03
infernoB23111248%-0.01
ancientC145936%-0.02
cacheC135838%-0.03
mirageA74357%0.01
anubisB63350%0.00
trainS54180%-0.02
fachwerk21150%-0.05
boulder21150%-0.01
shelter1010%-0.05
nuke1010%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

102,169Lifetime kills
0.71K/D
6,030Matches
46.9%Match win rate · Top 50% of Level 6 players
49.3%Headshot % · Top 50% of Level 6 players
12.0%Shot accuracy
11,475MVPs
4,350Hours (in match)
3,577Bombs planted
1,190Bombs defused

Most-used weapons

Lifetime map wins

19,740inferno
9,102dust2
1,559train
1,104vertigo
388nuke
357cbble
72lake
36office

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

Faceit stats

Combat

1,771Matches
50%Win rate
0.96Avg K/D
77.8ADR
42%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage24342%0.9114.2
Ancient19658%0.9916.1
Inferno11847%0.9915.1
Dust210350%0.9014.3
Anubis8858%1.0215.0
Overpass2642%0.8514.6
Train1471%1.1916.9
Vertigo1233%0.9614.6

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.

18.8%Headshot accuracy
35.4%Accuracy (enemy spotted)
42.1%Spray accuracy
75.2%Counter-strafing
11.8°Preaim
581msReaction time
32.6%T opening success
46.6%CT opening success
0.31Enemies flashed / flash
3.2%Flash assists
7.70HE damage / grenade
3.19Flashes / 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. 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 0.3145 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 32.6492% — below the 40% mark we flag

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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis9–13-0.0510%21 Sept
inferno5–50.0421%21 Sept
ancient13–80.0225%21 Sept
ancient11–13-0.0031%15 Sept
dust21–13-0.0622%14 Sept
inferno13–7-0.037%14 Sept
dust28–13-0.0323%14 Sept
inferno0–9-0.1563%7 Sept
inferno13–8-0.0016%7 Sept
inferno10–13-0.0214%3 Sept
cache9–13-0.0511%27 Aug
train13–11-0.0221%26 Aug
ancient4–13-0.083%26 Aug
dust27–130.0124%26 Aug
dust213–10-0.055%25 Aug
inferno13–6-0.0119%25 Aug
dust211–130.0017%25 Aug
dust213–11-0.0120%20 Aug
cache13–11-0.0429%20 Aug
dust213–1-0.0122%20 Aug
mirage13–4-0.0120%20 Aug
mirage13–80.0318%19 Aug
dust29–130.0216%19 Aug
ancient9–13-0.0417%14 Aug
mirage13–90.0114%14 Aug
inferno9–2-0.0450%14 Aug
ancient3–13-0.0717%14 Aug
anubis10–130.1220%14 Aug
train13–80.0024%14 Aug
anubis13–6-0.0225%13 Aug
cache12–120.0019%13 Aug
inferno12–12-0.0227%13 Aug
train13–5-0.0421%13 Aug
ancient13–110.0324%13 Aug
inferno9–60.1525%12 Aug
dust213–9-0.0412%12 Aug
ancient9–13-0.0120%28 Jul
anubis13–20.0419%28 Jul
mirage4–3-0.010%28 Jul
cache13–10-0.0716%28 Jul
dust213–2-0.0136%28 Jul
dust26–13-0.0616%26 Jul
inferno10–13-0.057%25 Jul
dust210–13-0.0522%25 Jul
cache12–120.0018%25 Jul
inferno9–10.2031%25 Jul
inferno2–9-0.0528%25 Jul
ancient3–13-0.0232%25 Jul
inferno10–13-0.0333%22 Jul
mirage6–13-0.0438%22 Jul
fachwerk8–13-0.0420%22 Jul
boulder5–13-0.0224%22 Jul
inferno13–90.0117%21 Jul
dust213–3-0.0515%21 Jul
boulder13–6-0.018%21 Jul
fachwerk13–10-0.0715%21 Jul
shelter7–13-0.0530%21 Jul
inferno6–9-0.0718%7 Jul
inferno5–9-0.1332%7 Jul
inferno13–3-0.0712%5 Jul
cache4–13-0.0714%5 Jul
ancient13–80.0317%5 Jul
inferno8–13-0.0418%5 Jul
dust211–13-0.0722%4 Jul
anubis13–9-0.0718%4 Jul
cache4–13-0.0136%4 Jul
cache10–13-0.0122%22 May
ancient12–12-0.0716%22 May
inferno12–12-0.0225%22 May
ancient13–20.0338%8 May
dust213–8-0.0826%8 May
cache13–30.0121%8 May
cache9–13-0.0522%8 May
cache5–13-0.0918%2 May
cache13–8-0.0211%2 May
cache13–60.0032%2 May
dust213–50.0119%1 May
train13–60.0521%1 May
inferno13–7-0.0121%1 May
mirage12–120.0728%1 May
dust213–110.0422%21 Apr
inferno13–110.0432%21 Apr
anubis12–120.0019%21 Apr
dust213–70.0321%21 Apr
inferno6–90.0218%21 Apr
train8–13-0.0928%20 Apr
ancient9–13-0.0721%20 Apr
dust211–13-0.0422%20 Apr
dust216–13-0.0723%17 Apr
dust213–5-0.0920%17 Apr
dust213–30.0120%17 Apr
ancient13–110.0233%17 Apr
dust210–130.0235%17 Apr
dust27–13-0.1119%16 Apr
nuke7–13-0.0124%16 Apr
dust210–8-0.0419%16 Apr
mirage5–13-0.0015%15 Apr
dust27–13-0.0337%15 Apr
inferno4–13-0.0218%15 Apr
ancient9–13-0.0617%15 Apr

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 →