AUR4X

AUR4X — CS2 Stats

LV76561198359097162[U:1:398831434]Steam profile ↗✓ No bans

567Tracked matches43%Win rate2020Tracked since
3,364Hours in CS17Hrs last 2 wks
CSDB Rating3.8 LearningSupport
Premier CS Rating12,230Blue band · top ~43.1% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (4 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: 12,230 +2,231 1 Jul – 25 Oct · 29 days played
9,99914,570peak 14,5701 Jul25 Oct
14,675Peak Premier in tracked matches
34Days played since 2026-07-01

Premier CS Rating

  • 2,340 below peak (14,570)
  • -1,448 over 30 days · declining
  • -1,757 over 90 days
  • Next: Purple band at 15,000 — 2,770 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-03
  • Light Blue band first seen 2026-09-03

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate47.5%42.0%44.4%above
Shot accuracy12.6%9.6%11.9%above
Kill/death ratio0.750.981.030.28 short
Match win rate35.2%43.8%45.2%10.0% short

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

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

Share this profile

CSDB.GGAUR4XPREMIER12,230 · Blue bandcsdb.gg/stats

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Performance scores

Aim41
Positioning45
Utility61

0–100 skill scores via Leetify.

Recent form

HOT43–56–1Last 10043%Win rateWWWLWWLWWW

Last 10 vs previous 10: +50pp win rate · +0.06 avg rating · −0.6pp headshot accuracy · +70ms reaction

Win rate up 50pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 19%
  • Avg reaction 694ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 705ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 670ms

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 (+3 against its own average).

Aim4.1
Utility6.1
Positioning4.5
Opening Duels0.9
Clutch0.8

Effective flashes

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

iM

Plays most like iM 65% 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

Strengths

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 648ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim4.1
Positioning4.5
Utility6.1
Mechanics3.3
Opening Duels1.8
Win Impact2.8

Composite 3.8/10 (Learning), 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+0.04
first ⅓ avg -0.05 → last ⅓ avg -0.01
Reaction time645ms−19ms
first ⅓ avg 663ms → last ⅓ avg 645ms
Headshot accuracy20.9%−1.1%
first ⅓ avg 22.0% → 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

0.27Best match rating · 9–5 · vertigo, 25 Oct →
64%Best headshot accuracy · 13–2 · dust2, 12 Jul →
469msFastest reaction time · 13–2 · dust2, 16 Aug →
13–0Biggest win · mirage, 23 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
9–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 55% over 11ancientWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B2311–1248%-0.03
mirageB147–750%-0.03
infernoC145–936%-0.05
cacheC135–838%-0.03
ancientD123–925%-0.03
anubisA116–555%-0.03
nukeB84–450%-0.04
vertigo—41–325%-0.04
overpass—11–0100%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,849Lifetime kills
0.75K/D
4,486Matches
35.2%Match win rate
47.5%Headshot % · Top 25% of Blue band
12.6%Shot accuracy · Top 50% of Blue band
8,005MVPs
2,258Hours (in match)
3,690Bombs planted
631Bombs defused

Most-used weapons

AK-4721,721
AWP7,591
P902,042
SSG 081,132
P250941
MP7890

Lifetime map wins

10,574dust2
4,623inferno
1,294nuke
630office
476train
397vertigo
224cbble
20lake

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

Faceit stats

Combat

39Matches
36%Win rate
0.68Avg K/D
70.7ADR
54%Headshot %

Clutches & streaks

24%1v1 clutch win
25%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis650%1.0814.3
Mirage333%1.2215.0
Inferno333%0.6514.3
Dust230%0.489.3
Ancient250%0.7411.0
Nuke10%0.5011.0
Cache1100%1.4217.0

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.

20.1%Headshot accuracy
29.5%Accuracy (enemy spotted)
27.5%Spray accuracy
65.0%Counter-strafing
9.6°Preaim
648msReaction time
38.8%T opening success
35.3%CT opening success
0.77Enemies flashed / flash
5.2%Flash assists
10.43HE damage / grenade
6.62Flashes / 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

    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 38.8012% — 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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–3-0.0833%25 Oct →
vertigo9–50.2722%25 Oct →
anubis16–130.0513%24 Oct →
ancient2–130.0014%24 Oct →
mirage13–110.0015%24 Oct →
mirage13–20.099%23 Oct →
dust23–13-0.1236%23 Oct →
anubis13–7-0.0416%23 Oct →
mirage13–00.0424%23 Oct →
dust213–00.0726%23 Oct →
nuke5–13-0.0521%23 Oct →
mirage6–13-0.0418%22 Oct →
nuke4–9-0.0932%22 Oct →
nuke13–60.1025%20 Oct →
dust28–13-0.065%20 Oct →
ancient13–90.0521%20 Oct →
cache10–13-0.0636%20 Oct →
dust29–130.0231%20 Oct →
cache13–8-0.0417%20 Oct →
anubis2–13-0.109%20 Oct →
dust213–8-0.0033%20 Oct →
mirage4–13-0.100%20 Oct →
dust22–13-0.0440%20 Oct →
anubis6–13-0.0423%8 Oct →
ancient10–13-0.0225%8 Oct →
cache13–100.0425%6 Oct →
dust213–70.0119%6 Oct →
anubis4–13-0.016%5 Oct →
ancient6–130.0328%5 Oct →
cache5–13-0.109%3 Oct →
cache10–130.1015%2 Oct →
mirage8–13-0.0619%1 Oct →
mirage11–13-0.1024%28 Sept →
vertigo4–9-0.1617%27 Sept →
mirage7–130.0026%16 Sept →
anubis13–10.1216%16 Sept →
overpass13–40.0221%16 Sept →
anubis9–13-0.099%16 Sept →
dust28–13-0.069%1 Sept →
inferno7–9-0.0733%1 Sept →
inferno13–8-0.0633%16 Aug →
nuke13–80.0022%16 Aug →
dust213–20.0632%16 Aug →
inferno9–13-0.0120%10 Aug →
dust29–13-0.0615%9 Aug →
ancient11–13-0.064%9 Aug →
ancient4–13-0.0624%3 Aug →
dust28–13-0.0320%2 Aug →
cache4–13-0.0520%2 Aug →
nuke6–9-0.0222%1 Aug →
inferno6–9-0.0319%26 Jul →
cache9–13-0.0420%24 Jul →
dust213–9-0.0130%24 Jul →
nuke13–11-0.0724%24 Jul →
mirage13–6-0.0222%24 Jul →
dust213–3-0.0324%23 Jul →
ancient10–13-0.0322%23 Jul →
mirage7–13-0.098%23 Jul →
dust210–13-0.0418%19 Jul →
inferno8–13-0.1024%19 Jul →
vertigo4–13-0.0720%19 Jul →
ancient13–16-0.0817%16 Jul →
dust29–13-0.0715%16 Jul →
cache6–13-0.0623%16 Jul →
cache13–70.0539%12 Jul →
inferno11–13-0.069%12 Jul →
dust213–20.0364%12 Jul →
ancient5–13-0.0813%12 Jul →
nuke10–13-0.1225%12 Jul →
cache13–8-0.0424%12 Jul →
inferno13–9-0.0422%12 Jul →
anubis13–11-0.0820%11 Jul →
nuke13–11-0.0542%11 Jul →
ancient2–13-0.0818%11 Jul →
inferno16–14-0.0428%11 Jul →
dust213–11-0.0243%11 Jul →
dust210–13-0.0720%11 Jul →
cache2–13-0.1011%10 Jul →
dust213–20.0227%10 Jul →
inferno8–13-0.0721%10 Jul →
anubis13–11-0.0517%10 Jul →
inferno16–14-0.0215%10 Jul →
dust210–13-0.0412%10 Jul →
cache13–6-0.0215%10 Jul →
anubis9–130.0216%9 Jul →
ancient13–4-0.0218%9 Jul →
anubis13–4-0.0716%7 Jul →
mirage11–10.0215%7 Jul →
inferno6–13-0.1019%3 Jul →
mirage4–13-0.0619%3 Jul →
vertigo5–9-0.2023%3 Jul →
inferno11–13-0.0623%2 Jul →
mirage13–3-0.0133%2 Jul →
dust213–6-0.0826%2 Jul →
inferno13–7-0.0721%2 Jul →
inferno8–8-0.0136%2 Jul →
dust213–8-0.0330%2 Jul →
cache11–13-0.078%1 Jul →
dust29–13-0.0526%1 Jul →
ancient13–11-0.0122%1 Jul →

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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