greaqrq

greaqrq — CS2 Stats

DE76561199106008312[U:1:1145742584]Steam profile ↗✓ No bans

982Tracked matches66%Win rate2024Tracked since
CSDB Rating4.7 DevelopingSupport
Premier CS Rating13,189Blue band · top ~38% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 982 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,189 -4,831 5 Feb – 16 Sept · 21 days played
12,39619,335peak 19,3355 Feb16 Sept
19,687Peak Premier in tracked matches
29Days played since 2026-02-03

Premier CS Rating

  • 6,146 below peak (19,335)
  • +368 over 30 days · steady
  • Next: Purple band at 15,000 — 1,811 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-08-30
  • Light Blue band first seen 2026-08-30

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

Share this profile

CSDB.GGgreaqrqFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER13,189 · Blue 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

Aim51
Positioning49
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateTLWLWWLLWW

Last 10 vs previous 10: −20pp win rate · +0.03 avg rating · +4.0pp headshot accuracy · −68ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 10%
  • Avg reaction 491ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 492ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 526ms

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: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim5.1
Utility5.8
Positioning4.9
Opening Duels3.7
Clutch3.2

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

Twistzz

Plays most like Twistzz 79% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Counter-strafing. Only 58% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.1
Positioning4.9
Utility5.8
Mechanics1.8
Opening Duels2.5
Win Impact10.0

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-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time543ms−15ms
first ⅓ avg 557ms → last ⅓ avg 543ms
Headshot accuracy10.4%−0.1%
first ⅓ avg 10.4% → last ⅓ avg 10.4%

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

0.13Best match rating · 9–3 · inferno, 5 Aug →
29%Best headshot accuracy · 13–7 · dust2, 11 Feb →
336msFastest reaction time · 13–3 · inferno, 3 Aug →
13–2Biggest win · inferno, 3 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 67% over 15anubisWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB3116–1552%-0.02
ancientC177–1041%-0.03
dust2S1510–567%-0.03
anubisC114–736%-0.03
overpassB105–550%-0.03
mirage—40–40%-0.06
nuke—41–325%-0.04
cache—21–150%0.02
train—21–150%-0.02
vertigo—10–10%-0.02
shelter—11–0100%-0.04
fachwerk—11–0100%0.02
boulder—11–0100%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

167Matches
54%Win rate
0.84Avg K/D
67.5ADR
34%Headshot %

Clutches & streaks

36%1v1 clutch win
14%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno4764%0.9013.3
Dust23345%0.7111.6
Anubis2361%0.8712.7
Mirage1839%0.8211.6
Ancient1547%0.8810.9
Nuke1560%0.7911.2
Overpass667%0.8114.3
Vertigo540%0.9519.4

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.

10.0%Headshot accuracy
38.1%Accuracy (enemy spotted)
46.0%Spray accuracy
58.0%Counter-strafing
12.4°Preaim
543msReaction time
35.0%T opening success
44.9%CT opening success
0.46Enemies flashed / flash
5.5%Flash assists
9.22HE damage / grenade
12.62Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.4154° — above the 12° mark we flag

    Aim Training →
  2. 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 9.9956% — below the 15% mark we flag

    Aim Training →
  3. 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 0.4587 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis15–150.0610%30 Aug →
vertigo14–16-0.0211%29 Aug →
inferno13–6-0.0115%28 Aug →
anubis6–130.0011%28 Aug →
ancient9–00.044%26 Aug →
inferno16–140.0110%23 Aug →
ancient9–13-0.0715%23 Aug →
inferno7–13-0.047%22 Aug →
anubis13–60.0013%22 Aug →
inferno9–70.0520%14 Aug →
inferno3–9-0.173%14 Aug →
shelter13–4-0.048%6 Aug →
fachwerk13–110.026%6 Aug →
boulder13–6-0.048%6 Aug →
mirage1–13-0.090%5 Aug →
inferno13–6-0.0212%5 Aug →
dust213–8-0.0613%5 Aug →
inferno13–4-0.015%5 Aug →
inferno10–130.006%5 Aug →
inferno9–30.1313%5 Aug →
dust213–6-0.0211%5 Aug →
mirage5–13-0.0615%5 Aug →
anubis2–13-0.1017%4 Aug →
ancient13–90.0012%4 Aug →
anubis13–8-0.047%4 Aug →
dust213–5-0.074%4 Aug →
dust213–40.0821%4 Aug →
ancient13–80.024%4 Aug →
inferno9–50.0513%4 Aug →
inferno7–130.0410%3 Aug →
dust213–110.0118%3 Aug →
inferno13–10-0.0111%3 Aug →
ancient13–80.0011%3 Aug →
inferno9–13-0.062%3 Aug →
anubis1–13-0.089%3 Aug →
cache13–90.067%3 Aug →
inferno13–3-0.0111%3 Aug →
ancient11–13-0.0315%3 Aug →
nuke5–13-0.0917%3 Aug →
cache11–13-0.0312%3 Aug →
inferno5–90.022%2 Aug →
dust28–13-0.069%19 Jul →
inferno13–8-0.058%7 Mar →
dust24–13-0.0620%7 Mar →
mirage14–16-0.0513%7 Mar →
nuke4–13-0.0414%4 Mar →
ancient6–13-0.056%4 Mar →
dust22–130.0213%4 Mar →
ancient13–11-0.0115%4 Mar →
anubis14–16-0.046%3 Mar →
dust211–13-0.029%3 Mar →
train6–13-0.0919%3 Mar →
train13–80.047%3 Mar →
mirage1–13-0.0622%3 Mar →
inferno15–15-0.015%3 Mar →
inferno13–20.0610%3 Mar →
inferno4–13-0.120%3 Mar →
dust213–7-0.039%22 Feb →
inferno14–16-0.022%22 Feb →
ancient9–110.0210%21 Feb →
inferno13–5-0.0316%14 Feb →
inferno8–13-0.0911%12 Feb →
ancient13–8-0.058%12 Feb →
anubis5–13-0.0610%12 Feb →
overpass7–13-0.089%12 Feb →
inferno15–15-0.0214%12 Feb →
dust23–13-0.0110%11 Feb →
dust213–7-0.0529%11 Feb →
inferno8–13-0.060%11 Feb →
inferno13–11-0.054%11 Feb →
ancient7–13-0.065%11 Feb →
overpass5–13-0.0115%10 Feb →
overpass7–13-0.0318%9 Feb →
ancient5–13-0.0410%9 Feb →
overpass13–7-0.009%9 Feb →
dust213–9-0.0313%9 Feb →
overpass16–13-0.0112%8 Feb →
anubis3–13-0.0621%8 Feb →
overpass8–13-0.0414%8 Feb →
inferno13–10-0.0012%7 Feb →
inferno13–10-0.055%7 Feb →
ancient11–130.018%7 Feb →
overpass13–5-0.078%7 Feb →
ancient15–15-0.058%7 Feb →
inferno9–13-0.0715%7 Feb →
anubis13–110.007%6 Feb →
ancient15–15-0.086%6 Feb →
inferno7–13-0.097%5 Feb →
anubis13–70.007%5 Feb →
dust213–11-0.062%5 Feb →
ancient7–13-0.108%5 Feb →
overpass7–13-0.0216%5 Feb →
nuke13–8-0.029%5 Feb →
ancient13–9-0.049%5 Feb →
inferno13–80.0015%5 Feb →
nuke12–16-0.0210%4 Feb →
overpass13–4-0.0110%4 Feb →
overpass13–100.0111%4 Feb →
inferno8–130.017%3 Feb →
dust216–14-0.0514%3 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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