Qlippixgs

Qlippixgs — CS2 Stats

76561199543033939[U:1:1582768211]Steam profile ↗✓ No bans

2,378Tracked matches52%Win rate2023Tracked since
2,028Hours in CS5Hrs last 2 wks
CSDB Rating6.8 SolidPositional Player
Premier CS Rating22,145Top 50% of 213,399 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)
CSDB Leaderboard#54596 of 260025 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (19 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: 22,145 +1,041 28 Aug – 17 Oct · 7 days played
21,10422,679peak 22,67928 Aug17 Oct
Faceit ELO: 1,299 +0 28 Aug – 17 Sept · 2 observations
1,2991,299peak 1,29928 Aug17 Sept
22,907Peak Premier in tracked matches
1,299Highest Faceit ELO seen on CSDB
24Days played since 2026-08-28

Faceit ELO

  • At peak — 1,299
  • Next: Level 7 at 1,351 — 52 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-28
  • Level 5 first seen 2026-08-28

Premier CS Rating

  • 534 below peak (22,679)
  • Next: Red band at 25,000 — 2,855 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate38.2%46.9%49.3%11.1% short
Shot accuracy0.4%13.0%13.4%13.0% short
Kill/death ratio1.161.081.12above
Match win rate50.1%46.7%48.5%above

This profile matches the typical Red band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGQlippixgsPREMIER22,145 · Pink bandPEAK ELO1,299csdb.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

Aim85
Positioning68
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateLWLTLWWLWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +1.8pp headshot accuracy · +77ms 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 570ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 538ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 499ms

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 (+1.5 against its own average).

Aim8.5
Utility4.5
Positioning6.8
Opening Duels5.6
Clutch4.2

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 94% 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 85 — the mechanical foundation is a clear strength.

CT openings. 63% 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

Aim8.5
Positioning6.8
Utility4.5
Mechanics5.0
Opening Duels7.8
Win Impact5.6

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time494ms+42ms
first ⅓ avg 452ms → last ⅓ avg 494ms
Headshot accuracy18.2%+2.7%
first ⅓ avg 15.5% → last ⅓ avg 18.2%

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

0.24Best match rating · 4–11 · train, 9 Oct →
33%Best headshot accuracy · 1–3 · mirage, 12 Oct →
297msFastest reaction time · 6–13 · inferno, 12 Oct →
13–1Biggest win · nuke, 25 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 82% over 11trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C229–1341%0.02
mirageA2012–860%0.04
infernoB199–1047%0.01
cacheS119–282%0.04
ancientB84–450%0.04
nukeB63–350%-0.00
anubisC52–340%0.04
trainD51–420%0.08
vertigo—21–150%0.07
overpass—22–0100%0.07

Across the last 100 tracked matches.

Lifetime stats

53,495Lifetime kills
1.16K/D · Top 50% of Pink band
3,082Matches
50.1%Match win rate · Top 25% of Pink band
38.2%Headshot %
0.4%Shot accuracy
7,613MVPs
1,142Hours (in match)
1,632Bombs planted
914Bombs defused

Most-used weapons

Lifetime map wins

6,067dust2
3,903inferno
3,272nuke
2,333vertigo
2,063train
106italy
26cbble
3ar_shoots

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

Faceit stats

Combat

278Matches
52%Win rate
1.20Avg K/D
81.8ADR
39%Headshot %

Clutches & streaks

41%1v1 clutch win
23%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage7551%1.1916.3
Dust24646%1.0414.8
Ancient4562%1.2217.3
Inferno4050%1.2116.1
Anubis2748%1.2615.2
Vertigo2070%1.6014.5
Nuke967%1.2115.7
Train850%1.1217.9

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.

17.7%Headshot accuracy
38.4%Accuracy (enemy spotted)
41.6%Spray accuracy
72.7%Counter-strafing
7.5°Preaim
485msReaction time
58.7%T opening success
63.4%CT opening success
0.52Enemies flashed / flash
6.6%Flash assists
9.15HE damage / grenade
6.36Flashes / match

Recommended for you

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno9–130.0224%4 Nov →
dust213–90.0327%29 Oct →
ancient10–13-0.0011%29 Oct →
dust212–120.0626%29 Oct →
inferno11–13-0.0017%25 Oct →
nuke13–1-0.0110%25 Oct →
cache13–40.0815%25 Oct →
ancient1–13-0.0522%25 Oct →
dust213–100.0323%24 Oct →
mirage4–130.049%21 Oct →
cache5–130.0420%21 Oct →
inferno13–10-0.066%19 Oct →
dust25–13-0.0819%19 Oct →
mirage13–80.0917%17 Oct →
cache7–13-0.0411%16 Oct →
ancient13–8-0.0117%16 Oct →
inferno13–80.0419%16 Oct →
mirage11–13-0.0118%16 Oct →
inferno8–13-0.0215%16 Oct →
dust28–13-0.0022%16 Oct →
anubis7–130.0017%16 Oct →
ancient13–50.0717%16 Oct →
cache13–80.0726%16 Oct →
ancient4–130.0618%16 Oct →
anubis13–90.0320%16 Oct →
dust25–130.0430%16 Oct →
mirage13–30.0313%16 Oct →
mirage13–110.0110%14 Oct →
inferno13–6-0.0220%14 Oct →
cache13–80.0110%14 Oct →
inferno7–130.0024%14 Oct →
dust213–60.0521%14 Oct →
dust24–13-0.0226%13 Oct →
inferno12–120.0113%12 Oct →
nuke4–13-0.058%12 Oct →
inferno13–7-0.0212%12 Oct →
mirage13–110.0716%12 Oct →
mirage1–3-0.0233%12 Oct →
dust213–110.0019%12 Oct →
train3–130.039%12 Oct →
inferno6–13-0.033%12 Oct →
nuke3–130.049%12 Oct →
mirage10–130.0111%12 Oct →
inferno13–5-0.0126%12 Oct →
anubis13–60.1314%11 Oct →
cache13–80.0915%11 Oct →
inferno12–120.0422%10 Oct →
dust211–13-0.0227%10 Oct →
mirage7–13-0.0011%10 Oct →
ancient13–40.1023%10 Oct →
nuke9–13-0.038%10 Oct →
vertigo8–130.0616%9 Oct →
dust210–130.0610%9 Oct →
mirage5–7-0.0133%9 Oct →
train13–90.0721%9 Oct →
inferno4–130.0713%9 Oct →
mirage13–30.0914%9 Oct →
dust25–13-0.0026%9 Oct →
nuke13–50.0220%9 Oct →
train4–110.2433%9 Oct →
mirage13–10.0912%9 Oct →
cache13–40.0312%9 Oct →
dust211–130.0212%8 Oct →
mirage13–60.0512%8 Oct →
nuke13–70.0128%8 Oct →
dust213–60.0924%6 Oct →
mirage13–9-0.0116%6 Oct →
cache13–7-0.0111%6 Oct →
dust213–90.0613%5 Oct →
inferno7–40.0511%5 Oct →
dust25–13-0.0021%5 Oct →
mirage7–130.0315%5 Oct →
dust26–130.0216%5 Oct →
anubis12–160.0321%5 Oct →
cache13–70.0812%5 Oct →
train5–13-0.0119%4 Oct →
ancient7–00.0828%4 Oct →
dust24–13-0.029%4 Oct →
overpass13–60.1120%4 Oct →
ancient12–120.0914%4 Oct →
anubis12–120.0215%4 Oct →
train6–130.0815%4 Oct →
dust213–10-0.0114%4 Oct →
cache13–110.0511%3 Oct →
mirage13–20.0711%1 Oct →
inferno13–5-0.060%29 Sept →
cache13–100.0416%29 Sept →
mirage11–130.0419%29 Sept →
inferno13–50.1017%29 Sept →
inferno9–130.0512%29 Sept →
mirage13–100.0720%29 Sept →
dust213–90.0112%29 Sept →
vertigo13–30.078%28 Sept →
mirage5–130.0622%28 Sept →
inferno3–6-0.035%27 Sept →
inferno13–11-0.0014%27 Sept →
dust213–50.0527%27 Sept →
dust26–130.0630%26 Sept →
mirage13–90.1323%26 Sept →
overpass13–80.0210%26 Sept →

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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