NarkoVavErE

NarkoVavErE — CS2 Stats

LV76561199643332038[U:1:1683066310]Steam profile ↗✓ No bans

1,676Tracked matches18%Win rate2024Tracked since
1,595Hours in CS13Hrs last 2 wks
CSDB Rating3.3 LearningSupport
Premier CS Rating16,696Purple band · top ~21.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

−160Premier CS Rating · 16,856 → 16,696

Rating over time

Premier CS Rating: 16,696 -2,760 8 Jun – 28 Oct · 23 days played
16,69623,637peak 23,6378 Jun28 Oct
23,637Peak Premier in tracked matches
829Highest Faceit ELO seen on CSDB
30Days played since 2026-06-08

Faceit ELO

  • At peak — 829
  • Next: Level 4 at 901 — 72 to go
  • Reached: Level 3 · Level 2

Premier CS Rating

  • 6,941 below peak (23,637)
  • -4,922 over 30 days · declining
  • -5,690 over 90 days
  • Next: Pink band at 20,000 — 3,304 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 rate44.3%44.4%46.9%2.6% short
Shot accuracy0.0%11.9%13.0%13.0% short
Kill/death ratio0.961.031.080.12 short
Match win rate43.1%45.2%46.7%3.6% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Shot accuracy. 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.GGNarkoVavErEPREMIER16,696 · Purple bandPEAK ELO829csdb.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

Aim33
Positioning42
Utility46

0–100 skill scores via Leetify.

Recent form

COLD33–65–2Last 10033%Win rateWLLTLLTLLW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +2.4pp headshot accuracy · +45ms reaction

Win rate +10pp 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 698ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 702ms

Last 20

  • 3–15–2 · 15% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 679ms

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 (+1.3 against its own average).

Aim3.3
Utility4.6
Positioning4.2
Opening Duels1.1
Clutch3.4

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 71% 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

Areas to improve

CT openings. Opening success drops from 50% on T to 30% on CT — first contacts on the defending side are being lost.

Reaction time. 671ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.3
Positioning4.2
Utility4.6
Mechanics3.8
Opening Duels2.5
Win Impact0.0

Composite 3.3/10 (Learning), 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 rating-0.05−0.04
first ⅓ avg -0.01 → last ⅓ avg -0.05
Reaction time671ms+59ms
first ⅓ avg 612ms → last ⅓ avg 671ms
Headshot accuracy17.6%+0.1%
first ⅓ avg 17.4% → last ⅓ avg 17.6%

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 · 13–10 · mirage, 11 Jun →
43%Best headshot accuracy · 3–13 · mirage, 4 Oct →
391msFastest reaction time · 6–9 · vertigo, 2 Jul →
13–2Biggest win · nuke, 6 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 57% over 7anubisWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2D318–2326%-0.04
cacheD134–931%-0.03
anubisD123–925%-0.02
mirageC104–640%0.02
infernoC104–640%-0.03
nukeD93–633%-0.02
ancientA74–357%-0.01
overpass—31–233%0.02
vertigo—32–167%-0.01
boulder—10–10%-0.02
italy—10–10%-0.02

Across the last 100 tracked matches.

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

Lifetime stats

33,289Lifetime kills
0.96K/D
2,007Matches
43.1%Match win rate
44.3%Headshot %
0.0%Shot accuracy
4,084MVPs
786Hours (in match)
1,595Bombs planted
500Bombs defused

Most-used weapons

Lifetime map wins

4,682dust2
2,462inferno
2,212nuke
768vertigo
463office
257train
69italy
13aztec

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

Faceit stats

Combat

61Matches
46%Win rate
0.98Avg K/D
74.2ADR
47%Headshot %

Clutches & streaks

37%1v1 clutch win
11%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1443%0.8413.4
Dust21362%1.1413.2
Nuke1060%1.1715.9
Ancient825%0.8714.6
Inferno757%0.7511.6
Anubis540%1.0212.4
Vertigo20%0.7814.0
Train10%1.0937.0

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.

17.9%Headshot accuracy
28.5%Accuracy (enemy spotted)
27.2%Spray accuracy
67.0%Counter-strafing
10.3°Preaim
671msReaction time
49.9%T opening success
29.6%CT opening success
0.58Enemies flashed / flash
5.4%Flash assists
9.20HE damage / grenade
5.87Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 29.6205% — below the 40% mark we flag

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.

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–40.0722%28 Oct →
inferno8–130.0015%26 Oct →
dust26–13-0.0813%25 Oct →
nuke15–15-0.0131%25 Oct →
cache6–13-0.0722%25 Oct →
dust29–13-0.0227%25 Oct →
dust215–15-0.0220%25 Oct →
mirage9–13-0.0116%25 Oct →
mirage5–13-0.0511%24 Oct →
dust213–11-0.0816%24 Oct →
cache11–13-0.094%24 Oct →
ancient13–11-0.0314%24 Oct →
dust29–13-0.0720%24 Oct →
anubis2–13-0.0718%23 Oct →
dust212–160.0118%23 Oct →
inferno4–9-0.1913%23 Oct →
nuke9–130.0014%14 Oct →
dust23–13-0.0410%14 Oct →
cache7–13-0.0417%14 Oct →
mirage3–13-0.0443%4 Oct →
dust22–13-0.090%4 Oct →
dust28–13-0.0612%4 Oct →
dust23–13-0.1319%3 Oct →
dust213–11-0.0524%3 Oct →
anubis5–13-0.0820%3 Oct →
ancient6–13-0.0522%3 Oct →
dust22–13-0.0218%3 Oct →
nuke10–13-0.1025%1 Oct →
ancient16–13-0.0626%1 Oct →
ancient10–13-0.0114%11 Sept →
dust25–13-0.065%9 Sept →
inferno13–8-0.0110%9 Sept →
nuke4–13-0.0423%13 Aug →
dust213–10-0.0619%8 Aug →
dust213–10-0.0414%8 Aug →
anubis1–13-0.0522%28 Jul →
dust213–80.0517%28 Jul →
cache14–16-0.0815%26 Jul →
dust211–13-0.0611%23 Jul →
mirage10–130.0113%22 Jul →
dust29–13-0.0717%22 Jul →
inferno2–13-0.0917%22 Jul →
ancient2–13-0.0323%22 Jul →
cache13–3-0.0817%19 Jul →
inferno16–14-0.0112%19 Jul →
overpass13–110.0815%18 Jul →
cache5–13-0.078%18 Jul →
boulder7–13-0.0217%12 Jul →
anubis8–130.0216%12 Jul →
cache9–13-0.0214%11 Jul →
inferno13–8-0.0010%11 Jul →
dust211–13-0.0217%11 Jul →
anubis13–80.0017%10 Jul →
cache13–40.0819%10 Jul →
inferno9–13-0.048%10 Jul →
dust22–13-0.0226%10 Jul →
cache10–13-0.0214%10 Jul →
ancient13–50.0210%10 Jul →
dust213–100.0532%10 Jul →
nuke13–4-0.0113%10 Jul →
mirage13–100.1218%10 Jul →
anubis13–80.0721%10 Jul →
anubis10–13-0.0513%10 Jul →
cache13–11-0.019%10 Jul →
anubis8–130.028%10 Jul →
nuke13–8-0.0025%10 Jul →
ancient13–60.0716%10 Jul →
anubis8–13-0.0414%10 Jul →
cache13–100.0814%7 Jul →
cache6–13-0.0414%7 Jul →
vertigo13–110.0133%7 Jul →
italy3–13-0.0239%7 Jul →
inferno13–90.0710%7 Jul →
nuke11–13-0.0316%7 Jul →
dust23–13-0.0821%6 Jul →
dust210–13-0.0415%6 Jul →
cache10–13-0.0317%6 Jul →
nuke13–20.0717%6 Jul →
vertigo9–5-0.0832%6 Jul →
dust29–13-0.049%6 Jul →
anubis10–13-0.0122%6 Jul →
vertigo6–90.0418%2 Jul →
overpass2–13-0.0518%2 Jul →
dust213–80.0028%2 Jul →
mirage4–13-0.089%28 Jun →
dust25–13-0.0714%28 Jun →
inferno8–130.0111%28 Jun →
dust25–13-0.049%28 Jun →
anubis8–13-0.0415%28 Jun →
dust27–13-0.0216%28 Jun →
nuke9–13-0.0611%20 Jun →
inferno4–130.0033%11 Jun →
mirage13–100.1312%11 Jun →
mirage13–70.0514%9 Jun →
anubis13–60.0210%9 Jun →
dust213–11-0.0718%9 Jun →
dust25–130.0012%8 Jun →
overpass5–130.0517%8 Jun →
mirage3–13-0.0415%8 Jun →
dust22–130.0023%8 Jun →

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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