Six Kills noob

Six Kills noob — CS2 Stats

76561199211433529[U:1:1251167801]Steam profile ↗✓ No bans

567Tracked matches53%Win rate2024Tracked since
268Hours in CS
CSDB Rating3.7 LearningSupport
Premier CS Rating5,252Light Blue band · top ~77.6% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (62 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: 5,252 -6,702 30 Mar – 4 Sept · 25 days played
3,87311,954peak 11,95430 Mar4 Sept
12,240Peak Premier in tracked matches
37Days played since 2026-03-29

Premier CS Rating

  • 6,702 below peak (11,954)
  • +211 over 30 days · steady
  • -1,403 over 90 days
  • Next: Blue band at 10,000 — 4,748 to go
  • Reached: 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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate33.9%39.9%42.0%8.1% short
Shot accuracy2.0%7.0%9.6%7.6% short
Kill/death ratio0.930.920.980.05 short
Match win rate42.5%42.3%43.8%1.3% short

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

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

Share this profile

CSDB.GGSix Kills noobPREMIER5,252 · Light 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

Aim50
Positioning32
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY43–56–1Last 10043%Win rateLWLWLLLLWW

Last 10 vs previous 10: −40pp win rate · −0.05 avg rating · −0.4pp headshot accuracy · +30ms reaction

Win rate down 40pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 697ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 699ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 684ms

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 (+1.8 against its own average).

Aim5.0
Utility4.6
Positioning3.2
Opening Duels3.3
Clutch0.0

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

device

Plays most like device 86% 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

Reaction time. 692ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim5.0
Positioning3.2
Utility4.6
Mechanics3.7
Opening Duels1.7
Win Impact6.1

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time701ms+7ms
first ⅓ avg 695ms → last ⅓ avg 701ms
Headshot accuracy11.7%−0.5%
first ⅓ avg 12.2% → last ⅓ avg 11.7%

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

0.22Best match rating · 9–5 · inferno, 29 Jun →
50%Best headshot accuracy · 2–9 · inferno, 2 Jul →
477msFastest reaction time · 2–9 · inferno, 2 Jul →
13–2Biggest win · dust2, 29 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 48% over 21dust2Weakest map · 42% over 38
MapGradePlayedRecordWin rateAvg rating
dust2C3816–2242%-0.01
mirageB3014–1647%-0.02
infernoB2110–1148%-0.01
overpass—40–40%-0.03
ancient—21–150%-0.01
cache—22–0100%0.01
nuke—10–10%-0.06
vertigo—10–10%0.02
anubis—10–10%-0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 38). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,360Lifetime kills
0.93K/D · Top 50% of Light Blue band
879Matches
42.5%Match win rate · Top 50% of Light Blue band
33.9%Headshot %
2.0%Shot accuracy
2,103MVPs
268Hours (in match)
972Bombs planted
134Bombs defused

Most-used weapons

Lifetime map wins

2,482dust2
1,196inferno
178vertigo
119nuke
39train
22lake
11ar_shoots
10italy

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

Faceit stats

Combat

1Matches
0%Win rate
0.47Avg K/D
71.0ADR
67%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

12.4%Headshot accuracy
40.7%Accuracy (enemy spotted)
41.7%Spray accuracy
66.5%Counter-strafing
11.3°Preaim
692msReaction time
29.5%T opening success
43.3%CT opening success
0.52Enemies flashed / flash
4.3%Flash assists
11.37HE damage / grenade
6.38Flashes / 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. 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 12.3584% — below the 15% mark we flag

    Aim Training →
  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 29.5371% — below the 40% mark we flag

Spend your practice time on Dust 2

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

42% win rate across 38 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.085%4 Sept →
dust213–40.0712%31 Aug →
inferno11–13-0.0615%8 Aug →
mirage13–8-0.0818%8 Aug →
mirage14–160.0015%29 Jul →
dust29–130.037%29 Jul →
mirage3–13-0.0721%29 Jul →
inferno4–13-0.116%28 Jul →
mirage13–100.0111%28 Jul →
dust216–13-0.038%28 Jul →
dust210–13-0.017%28 Jul →
mirage2–10.000%28 Jul →
dust213–40.0513%28 Jul →
dust213–50.116%27 Jul →
inferno16–140.0111%27 Jul →
mirage6–13-0.1121%26 Jul →
dust213–10-0.028%26 Jul →
ancient13–9-0.0114%26 Jul →
mirage13–70.0611%26 Jul →
inferno13–50.0930%26 Jul →
mirage6–13-0.047%25 Jul →
dust213–5-0.065%25 Jul →
dust211–13-0.0819%25 Jul →
dust214–16-0.0710%23 Jul →
dust216–130.0220%23 Jul →
dust210–13-0.048%23 Jul →
mirage6–13-0.0811%23 Jul →
inferno0–13-0.097%23 Jul →
inferno6–9-0.048%23 Jul →
inferno3–9-0.216%23 Jul →
mirage13–9-0.0221%22 Jul →
dust213–6-0.0212%22 Jul →
dust213–90.0414%22 Jul →
mirage9–130.0021%22 Jul →
nuke5–13-0.0618%22 Jul →
mirage9–130.0315%22 Jul →
mirage8–13-0.0410%22 Jul →
mirage14–16-0.0213%21 Jul →
dust23–13-0.098%21 Jul →
dust21–13-0.056%21 Jul →
inferno9–50.0611%17 Jul →
inferno9–60.0926%17 Jul →
dust25–130.0026%17 Jul →
dust213–110.0513%13 Jul →
inferno6–90.0418%13 Jul →
dust210–13-0.0810%6 Jul →
vertigo6–90.0210%6 Jul →
inferno13–9-0.0011%4 Jul →
dust29–130.0217%4 Jul →
mirage3–13-0.0113%3 Jul →
mirage13–8-0.0213%2 Jul →
dust213–110.0017%2 Jul →
mirage13–100.0513%2 Jul →
dust210–13-0.066%2 Jul →
overpass7–9-0.0619%2 Jul →
inferno2–9-0.1750%2 Jul →
dust216–13-0.049%1 Jul →
dust29–130.0015%1 Jul →
anubis5–13-0.1121%30 Jun →
mirage16–13-0.0126%29 Jun →
dust213–20.0029%29 Jun →
dust213–5-0.0227%29 Jun →
inferno9–50.2214%29 Jun →
overpass6–13-0.0613%28 Jun →
mirage13–70.0015%28 Jun →
dust211–130.0530%25 Jun →
dust27–130.0010%24 Jun →
dust213–7-0.0212%24 Jun →
dust26–130.0024%24 Jun →
mirage13–4-0.0225%24 Jun →
mirage13–11-0.058%23 Jun →
inferno9–7-0.0213%23 Jun →
inferno5–9-0.0910%23 Jun →
dust29–130.017%16 Jun →
mirage13–70.1011%16 Jun →
mirage2–13-0.1010%16 Jun →
overpass7–13-0.052%15 Jun →
dust213–5-0.0423%15 Jun →
inferno11–130.0113%15 Jun →
inferno9–40.0419%15 Jun →
inferno9–30.003%15 Jun →
mirage9–13-0.058%4 Jun →
cache13–9-0.018%12 May →
mirage9–130.0213%10 May →
inferno11–13-0.052%10 May →
dust24–13-0.047%10 May →
cache13–100.0212%1 May →
mirage2–13-0.088%8 Apr →
inferno11–130.039%7 Apr →
ancient6–13-0.0214%7 Apr →
dust210–130.0214%3 Apr →
overpass7–130.0510%1 Apr →
dust26–130.0110%1 Apr →
mirage13–50.0119%31 Mar →
dust29–13-0.0722%31 Mar →
dust25–13-0.047%30 Mar →
mirage13–100.0418%30 Mar →
mirage5–13-0.0116%30 Mar →
inferno9–3-0.0116%30 Mar →
dust212–120.0610%29 Mar →

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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