Noaratic

Noaratic — CS2 Stats

US76561198130504255[U:1:170238527]Steam profile ↗✓ No bans

1,186Tracked matches43%Win rate2020Tracked since
956Hours in CS
CSDB Rating6.1 SolidClutch Specialist
Premier CS Rating17,345Purple band · top ~19.1% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,186 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,345 -3,291 1 Oct – 3 Nov · 18 days played
17,31720,636peak 20,6361 Oct3 Nov
20,744Peak Premier in tracked matches
34Days played since 2025-08-21

Premier CS Rating

  • 3,291 below peak (20,636)
  • Next: Pink band at 20,000 — 2,655 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-11-03
  • Blue band first seen 2026-11-03

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 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 rate45.0%44.4%46.9%2.0% short
Shot accuracy13.7%11.9%13.0%above
Kill/death ratio1.041.031.080.04 short
Match win rate47.3%45.2%46.7%meets

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

Widest gap: Headshot rate. 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.GGNoaraticPREMIER17,345 · Purple bandcsdb.gg/stats

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Performance scores

Aim74
Positioning55
Utility53

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateLLLLLWLLLW

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −2.9pp headshot accuracy · +25ms reaction

Win rate down 30pp 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

  • 0–5 · 0% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 708ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 697ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 685ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.7 against its own average).

Aim7.4
Utility5.3
Positioning5.5
Opening Duels4.4
Clutch10.0

Excellent counter-strafingEffective flashesLimited utility dependenceReliable in 1v1s

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

m0NESY

Plays most like m0NESY 94% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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

Strengths

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

Areas to improve

Reaction time. 679ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.4
Positioning5.5
Utility5.3
Mechanics8.7
Opening Duels3.8
Win Impact2.8

Composite 6.1/10 (Solid), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time688ms−13ms
first ⅓ avg 701ms → last ⅓ avg 688ms
Headshot accuracy19.1%+1.2%
first ⅓ avg 17.9% → last ⅓ avg 19.1%

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

0.10Best match rating · 13–11 · overpass, 26 Aug →
37%Best headshot accuracy · 13–9 · dust2, 14 Feb →
391msFastest reaction time · 5–9 · poseidon, 22 Feb →
13–2Biggest win · mirage, 13 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L5Current streak
8–12In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 48% over 23infernoWeakest map · 37% over 27
MapGradePlayedRecordWin rateAvg rating
infernoC2710–1737%-0.00
dust2B2411–1346%-0.01
mirageB2311–1248%-0.00
overpassC135–838%-0.02
anubis—31–233%-0.02
nuke—32–167%0.03
office—30–30%-0.06
ancient—33–0100%0.01
poseidon—10–10%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (37% over 27). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,536Lifetime kills
1.04K/D · Top 50% of Purple band
2,694Matches
47.3%Match win rate · Top 50% of Purple band
45.0%Headshot % · Top 50% of Purple band
13.7%Shot accuracy · Top 50% of Purple band
6,651MVPs
956Hours (in match)
2,143Bombs planted
524Bombs defused

Most-used weapons

Lifetime map wins

4,334inferno
3,286dust2
2,681nuke
1,356office
1,206vertigo
634train
334lake
214cbble

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

Faceit stats

Combat

6Matches
50%Win rate
1.05Avg K/D
93.8ADR
49%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Vertigo250%0.538.0
Mirage10%0.9518.0
Nuke1100%1.7319.0
Dust210%0.6911.0
Overpass1100%1.8524.0

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.

19.2%Headshot accuracy
35.9%Accuracy (enemy spotted)
42.0%Spray accuracy
89.3%Counter-strafing
10.1°Preaim
679msReaction time
41.7%T opening success
48.9%CT opening success
0.77Enemies flashed / flash
11.6%Flash assists
8.76HE damage / grenade
4.41Flashes / match

Recommended for you

Spend your practice time on Inferno

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

37% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass10–13-0.0013%28 Mar →
dust213–160.0622%28 Mar →
dust211–130.0522%24 Mar →
mirage4–13-0.0416%24 Mar →
anubis5–13-0.0125%24 Mar →
nuke13–40.0222%24 Mar →
office3–13-0.0917%24 Mar →
office9–13-0.0223%24 Mar →
mirage10–13-0.0717%17 Mar →
dust213–110.1022%15 Mar →
inferno10–130.0226%15 Mar →
mirage8–130.0319%15 Mar →
mirage13–110.0631%10 Mar →
nuke8–13-0.0424%10 Mar →
nuke13–80.0926%8 Mar →
inferno8–13-0.0312%8 Mar →
mirage13–30.0212%8 Mar →
dust213–7-0.0131%8 Mar →
inferno9–60.0932%8 Mar →
dust28–13-0.0915%7 Mar →
dust24–100.0525%7 Mar →
inferno16–120.0424%7 Mar →
inferno13–7-0.0019%6 Mar →
mirage13–80.0018%6 Mar →
dust26–13-0.0410%6 Mar →
dust213–9-0.0514%6 Mar →
mirage13–80.0819%6 Mar →
mirage13–90.0112%6 Mar →
mirage12–160.0013%3 Mar →
anubis11–13-0.048%3 Mar →
inferno13–60.0419%2 Mar →
mirage13–90.0312%2 Mar →
inferno13–90.0411%2 Mar →
dust211–13-0.0118%1 Mar →
inferno13–7-0.0119%1 Mar →
inferno6–9-0.0636%1 Mar →
dust21–7-0.1117%1 Mar →
inferno13–16-0.0513%28 Feb →
inferno7–13-0.0222%28 Feb →
anubis13–7-0.0018%27 Feb →
inferno11–13-0.0020%27 Feb →
inferno8–00.058%27 Feb →
inferno11–13-0.0214%22 Feb →
mirage15–15-0.0617%22 Feb →
poseidon5–9-0.0831%22 Feb →
overpass15–15-0.0615%21 Feb →
inferno8–130.0214%21 Feb →
dust213–6-0.0313%21 Feb →
inferno8–13-0.0823%21 Feb →
inferno6–130.0320%20 Feb →
mirage4–1-0.0733%20 Feb →
inferno9–13-0.0626%20 Feb →
inferno2–13-0.0910%15 Feb →
dust27–13-0.0416%15 Feb →
dust29–13-0.1111%14 Feb →
mirage13–11-0.0227%14 Feb →
dust213–90.0037%14 Feb →
mirage13–8-0.028%13 Feb →
dust28–13-0.0216%13 Feb →
mirage13–20.0911%13 Feb →
mirage7–13-0.0418%10 Feb →
overpass13–60.0122%10 Feb →
overpass7–13-0.0312%7 Feb →
dust211–13-0.0219%7 Feb →
inferno1–13-0.0029%5 Feb →
inferno8–130.0420%5 Feb →
overpass13–7-0.069%5 Feb →
mirage10–13-0.0315%29 Jan →
inferno10–13-0.0515%25 Jan →
mirage13–80.0125%25 Jan →
inferno13–6-0.0315%23 Jan →
dust213–9-0.0617%23 Jan →
inferno6–13-0.0329%23 Jan →
overpass8–13-0.078%1 Oct →
overpass16–140.0018%1 Oct →
mirage11–130.0327%26 Sept →
overpass8–13-0.018%26 Sept →
dust29–13-0.0314%17 Sept →
mirage11–13-0.0027%17 Sept →
dust216–140.0213%7 Sept →
dust213–11-0.0111%7 Sept →
overpass7–13-0.0413%7 Sept →
mirage14–160.0014%7 Sept →
inferno13–80.0119%7 Sept →
dust213–110.0214%4 Sept →
ancient13–20.0420%4 Sept →
overpass13–2-0.0318%4 Sept →
overpass11–13-0.0013%4 Sept →
inferno13–20.0723%4 Sept →
overpass12–16-0.0211%3 Sept →
ancient13–3-0.0111%3 Sept →
mirage11–13-0.0419%3 Sept →
dust25–13-0.0429%3 Sept →
inferno12–12-0.0019%26 Aug →
mirage11–13-0.0129%26 Aug →
overpass13–110.1019%26 Aug →
dust213–50.0219%26 Aug →
ancient13–70.0120%25 Aug →
office3–13-0.0717%25 Aug →
dust213–90.0921%21 Aug →

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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