Noico

Noico — CS2 Stats

PL76561198001338809[U:1:41073081]Steam profile ↗✓ No bans

842Tracked matches53%Win rate2020Tracked since
2,148Hours in CS9Hrs last 2 wks
CSDB Rating4.8 DevelopingClutch Specialist
CSDB Leaderboard#71505 of 247939 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

+15Tracked matches · now 842
0.0ppWin rate · 53.3% → 53.3%

Rating over time

Premier CS Rating: 20,583 +2,097 9 Apr – 6 Sept · 29 days played
16,53321,102peak 21,1029 Apr6 Sept
21,350Peak Premier in tracked matches
43Days played since 2026-04-09

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches40——
Win rate43%——
K/D1.05——
Headshot %33%——

Measured 1 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=12,868), 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 playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate33.2%44.8%45.7%12.5% short
Shot accuracy10.9%12.4%12.7%1.9% short
Kill/death ratio0.991.031.050.06 short
Match win rate44.3%45.2%45.7%1.4% short

This profile sits below the typical Level 7 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNoicoFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.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

Aim53
Positioning56
Utility28

0–100 skill scores via Leetify.

Recent form

COLD45–53–2Last 10045%Win rateWLTLLWLLLL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −2.6pp headshot accuracy · +30ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 545ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 566ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 551ms

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 (+1 against its own average).

Aim5.3
Utility2.8
Positioning5.6
Opening Duels5.1
Clutch5.8

Strong CT-side openerLimited utility dependence

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

donk

Plays most like donk 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 60% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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

Aim5.3
Positioning5.6
Utility2.8
Mechanics3.4
Opening Duels5.3
Win Impact6.1

Composite 4.8/10 (Developing), 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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time564ms−29ms
first ⅓ avg 593ms → last ⅓ avg 564ms
Headshot accuracy15.6%−2.0%
first ⅓ avg 17.6% → last ⅓ avg 15.6%

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

0.20Best match rating · 13–2 · dust2, 27 Jul →
50%Best headshot accuracy · 0–13 · ancient, 20 Jul →
398msFastest reaction time · 5–9 · inferno, 16 Sept →
13–2Biggest win · dust2, 27 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 57% over 14infernoWeakest map · 24% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B2211–1150%0.01
infernoD174–1324%-0.01
mirageB168–850%-0.01
anubisA148–657%0.02
nukeA148–657%-0.02
ancientC83–538%0.01
cacheC52–340%-0.02
overpass—21–150%0.04
sanctum—10–10%-0.00
vertigo—10–10%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,231Lifetime kills
0.99K/D
3,130Matches
44.3%Match win rate
33.2%Headshot %
10.9%Shot accuracy
6,677MVPs
1,262Hours (in match)
2,832Bombs planted
670Bombs defused

Most-used weapons

AWP11,359
AK-479,015
P902,853
MP92,204
MP71,659
UMP-451,478

Lifetime map wins

5,107inferno
3,644dust2
2,723nuke
1,251vertigo
1,249train
434cbble
79lake
35safehouse

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

Faceit stats

Combat

175Matches
53%Win rate
1.02Avg K/D
75.9ADR
35%Headshot %

Clutches & streaks

49%1v1 clutch win
23%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5551%1.0515.0
Anubis3060%0.9715.2
Nuke1844%1.0015.3
Dust21759%0.9514.8
Inferno1030%1.3520.0
Vertigo956%1.2915.8
Cache475%1.3917.3
Ancient450%1.1814.8

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.

14.4%Headshot accuracy
35.1%Accuracy (enemy spotted)
39.4%Spray accuracy
65.5%Counter-strafing
11.2°Preaim
576msReaction time
42.0%T opening success
60.1%CT opening success
0.35Enemies flashed / flash
2.9%Flash assists
10.35HE damage / grenade
1.94Flashes / 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 14.414% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3472 — below the 0.5 mark we flag

    Grenade Lineups →
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.

24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis19–170.005%24 Sept →
inferno11–13-0.0425%16 Sept →
inferno8–8-0.0836%16 Sept →
inferno5–9-0.0619%16 Sept →
dust210–130.0014%16 Sept →
cache13–8-0.0010%17 Aug →
dust28–13-0.046%17 Aug →
cache6–13-0.049%7 Aug →
ancient7–130.0511%6 Aug →
nuke7–13-0.025%6 Aug →
mirage3–13-0.069%5 Aug →
dust213–50.0517%5 Aug →
inferno13–80.0313%5 Aug →
cache3–13-0.0336%2 Aug →
mirage13–16-0.074%2 Aug →
inferno13–90.0322%30 Jul →
ancient13–90.0517%27 Jul →
ancient4–13-0.068%27 Jul →
dust213–20.2025%27 Jul →
dust27–13-0.0216%27 Jul →
nuke13–6-0.0815%27 Jul →
anubis13–80.0923%27 Jul →
mirage13–90.0416%27 Jul →
mirage13–80.0418%25 Jul →
nuke7–90.0216%24 Jul →
anubis2–130.004%23 Jul →
nuke13–8-0.0125%23 Jul →
inferno13–10-0.0318%23 Jul →
dust213–30.0515%23 Jul →
anubis8–13-0.0113%22 Jul →
anubis13–70.0311%22 Jul →
dust212–160.028%21 Jul →
dust213–110.0324%20 Jul →
nuke6–130.0715%20 Jul →
ancient0–13-0.0650%20 Jul →
cache13–60.0122%15 Jul →
dust213–90.0911%14 Jul →
nuke16–13-0.0510%13 Jul →
ancient13–7-0.0220%13 Jul →
anubis11–13-0.036%12 Jul →
cache3–13-0.052%10 Jul →
dust21–13-0.0429%9 Jul →
mirage13–110.0111%9 Jul →
anubis13–20.0717%8 Jul →
nuke13–3-0.027%7 Jul →
nuke9–7-0.0715%7 Jul →
dust25–130.026%6 Jul →
ancient8–13-0.0417%5 Jul →
overpass9–13-0.0311%5 Jul →
inferno3–13-0.0816%5 Jul →
mirage11–13-0.0120%2 Jul →
sanctum4–9-0.0010%24 Jun →
mirage2–130.0116%24 Jun →
anubis2–13-0.0320%24 Jun →
dust27–13-0.0419%21 Jun →
anubis13–9-0.0114%21 Jun →
dust213–7-0.0123%16 Jun →
nuke1–13-0.107%16 Jun →
anubis13–60.069%16 Jun →
inferno9–13-0.0321%16 Jun →
anubis13–90.0819%14 Jun →
nuke13–90.0522%14 Jun →
mirage13–80.0224%14 Jun →
mirage13–9-0.019%14 Jun →
dust213–90.0618%9 Jun →
anubis16–120.046%9 Jun →
inferno3–13-0.0813%9 Jun →
dust29–13-0.0129%2 Jun →
nuke9–13-0.0018%2 Jun →
mirage6–130.0510%1 Jun →
ancient10–130.1210%1 Jun →
dust213–90.0616%1 Jun →
mirage13–9-0.0211%1 Jun →
anubis5–13-0.0217%1 Jun →
dust28–13-0.0020%1 Jun →
inferno10–130.0327%25 May →
nuke16–130.0012%25 May →
mirage1–130.0218%18 May →
dust213–50.0211%18 May →
inferno14–16-0.0015%18 May →
nuke16–120.0415%18 May →
vertigo5–9-0.0021%11 May →
dust213–8-0.079%10 May →
inferno12–16-0.0215%3 May →
inferno8–80.0515%3 May →
inferno8–130.1223%3 May →
inferno8–13-0.039%29 Apr →
ancient13–90.0213%28 Apr →
dust210–13-0.0622%28 Apr →
dust210–13-0.0119%13 Apr →
mirage7–13-0.0413%13 Apr →
dust213–8-0.0124%13 Apr →
inferno13–40.0124%12 Apr →
mirage3–13-0.1033%12 Apr →
anubis8–130.0113%9 Apr →
mirage13–50.0120%9 Apr →
nuke8–13-0.0523%9 Apr →
inferno10–130.0418%9 Apr →
mirage13–10-0.0610%9 Apr →
overpass13–20.1227%9 Apr →

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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