NuGa_6

NuGa_6 — CS2 Stats

76561197962825690[U:1:2559962]Steam profile ↗✓ No bans

655Tracked matches38%Win rate2021Tracked since
CSDB Rating3.8 LearningSupport
Premier CS Rating11,740Blue band · top ~45.7% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (5 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: 11,740 -2,011 11 May – 21 Oct · 37 days played
10,77613,775peak 13,77511 May21 Oct
Faceit ELO: 751 +0 7 Sept – 25 Sept · 3 observations
751751peak 7517 Sept25 Sept
13,951Peak Premier in tracked matches
751Highest Faceit ELO seen on CSDB
48Days played since 2026-05-11

Faceit ELO

  • At peak — 751
  • Next: Level 4 at 901 — 150 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-07
  • Level 2 first seen 2026-09-07

Premier CS Rating

  • 2,035 below peak (13,775)
  • -463 over 30 days · declining
  • -1,403 over 90 days
  • Next: Purple band at 15,000 — 3,260 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-07
  • Light Blue band first seen 2026-09-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGNuGa_6PREMIER11,740 · Blue bandPEAK ELO751csdb.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

Aim31
Positioning58
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY39–57–4Last 10039%Win rateLLWWWWLWLL

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · −2.3pp headshot accuracy · −28ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 639ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 640ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 654ms

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 (+1.4 against its own average).

Aim3.1
Utility5.8
Positioning5.8
Opening Duels2.7
Clutch3.2

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 58% 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

Areas to improve

CT openings. Opening success drops from 56% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 666ms 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

Aim3.1
Positioning5.8
Utility5.8
Mechanics3.6
Opening Duels3.9
Win Impact1.0

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-0.03+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.03
Reaction time658ms−40ms
first ⅓ avg 698ms → last ⅓ avg 658ms
Headshot accuracy14.2%+1.0%
first ⅓ avg 13.1% → last ⅓ avg 14.2%

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 · 13–1 · nuke, 14 Jun →
31%Best headshot accuracy · 13–8 · nuke, 15 May →
484msFastest reaction time · 9–0 · inferno, 5 Aug →
13–1Biggest win · nuke, 21 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
3–8In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 67% over 9ancientWeakest map · 21% over 19
MapGradePlayedRecordWin rateAvg rating
infernoD247–1729%-0.05
nukeB2312–1152%-0.01
ancientD194–1521%-0.05
anubisS96–367%-0.05
dust2D82–625%-0.05
mirageB63–350%-0.05
cacheC52–340%-0.03
overpass—42–250%-0.02
sanctum—10–10%-0.04
poseidon—11–0100%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (21% over 19). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

137Matches
49%Win rate
0.74Avg K/D
66.2ADR
47%Headshot %

Clutches & streaks

36%1v1 clutch win
13%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke3465%0.7712.0
Inferno3247%0.7812.1
Mirage2438%0.649.8
Ancient1553%0.8112.7
Anubis1369%0.8911.8
Dust2617%0.6813.5
Overpass450%0.467.8
Cache10%0.386.0

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.

14.9%Headshot accuracy
30.8%Accuracy (enemy spotted)
31.6%Spray accuracy
66.3%Counter-strafing
11.8°Preaim
666msReaction time
55.5%T opening success
35.4%CT opening success
0.65Enemies flashed / flash
3.0%Flash assists
9.53HE damage / grenade
7.95Flashes / 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 14.929% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 35.4334% — 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.

21% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust22–13-0.0413%21 Oct →
inferno5–13-0.116%21 Oct →
nuke13–10.0522%21 Oct →
nuke13–9-0.0119%19 Oct →
inferno13–70.0217%19 Oct →
dust213–8-0.0115%19 Oct →
dust29–13-0.0113%14 Oct →
ancient13–50.036%14 Oct →
inferno9–13-0.007%14 Oct →
ancient9–13-0.0511%12 Oct →
dust28–13-0.0813%12 Oct →
mirage4–13-0.0720%7 Oct →
cache8–13-0.0115%7 Oct →
inferno12–16-0.0418%5 Oct →
nuke13–9-0.0212%28 Sept →
inferno5–13-0.027%28 Sept →
mirage13–7-0.0415%23 Sept →
ancient9–13-0.0823%23 Sept →
cache15–15-0.0612%21 Sept →
inferno11–13-0.0018%21 Sept →
ancient11–13-0.0211%16 Sept →
cache12–160.0218%9 Sept →
nuke13–8-0.0024%7 Sept →
inferno12–16-0.0610%2 Sept →
ancient13–3-0.037%2 Sept →
nuke7–130.0017%31 Aug →
inferno7–13-0.0623%5 Aug →
inferno9–0-0.028%5 Aug →
dust211–13-0.0823%2 Aug →
cache13–9-0.0618%29 Jul →
nuke16–140.015%29 Jul →
inferno4–13-0.0711%27 Jul →
ancient4–13-0.0911%27 Jul →
ancient16–14-0.0310%27 Jul →
nuke15–15-0.0415%24 Jul →
inferno13–9-0.025%22 Jul →
ancient10–13-0.0412%22 Jul →
inferno5–13-0.1216%22 Jul →
nuke9–13-0.047%20 Jul →
dust213–7-0.0715%20 Jul →
anubis6–13-0.1021%19 Jul →
nuke13–40.0312%19 Jul →
dust29–13-0.0115%19 Jul →
inferno4–13-0.1014%18 Jul →
anubis7–13-0.063%18 Jul →
nuke13–30.0126%17 Jul →
anubis16–14-0.058%16 Jul →
ancient13–16-0.0412%16 Jul →
cache13–3-0.0429%16 Jul →
nuke13–50.0310%15 Jul →
inferno13–100.0422%15 Jul →
mirage13–6-0.0313%15 Jul →
ancient7–130.0230%13 Jul →
nuke13–8-0.0012%1 Jul →
overpass13–60.0319%1 Jul →
ancient8–13-0.0517%1 Jul →
ancient9–13-0.0814%22 Jun →
overpass2–6-0.025%17 Jun →
nuke11–13-0.036%17 Jun →
nuke6–13-0.098%15 Jun →
nuke13–10.1023%14 Jun →
ancient9–13-0.0812%14 Jun →
ancient6–13-0.1012%10 Jun →
nuke11–13-0.0418%10 Jun →
nuke14–16-0.0317%8 Jun →
nuke13–16-0.0510%5 Jun →
inferno10–13-0.0512%5 Jun →
ancient15–15-0.0416%5 Jun →
ancient8–13-0.043%3 Jun →
anubis12–6-0.0510%3 Jun →
inferno13–3-0.044%3 Jun →
anubis10–13-0.0815%1 Jun →
inferno13–8-0.088%1 Jun →
ancient13–10-0.0215%1 Jun →
anubis13–90.027%29 May →
ancient9–13-0.1212%27 May →
overpass7–13-0.0821%27 May →
inferno9–13-0.088%27 May →
mirage13–6-0.0519%25 May →
ancient10–13-0.119%24 May →
inferno14–16-0.0913%24 May →
dust28–13-0.0712%23 May →
inferno13–20.0710%23 May →
nuke6–13-0.045%23 May →
inferno11–13-0.0617%20 May →
anubis13–5-0.095%20 May →
nuke13–10.0515%20 May →
mirage9–13-0.0717%18 May →
inferno9–13-0.0913%18 May →
anubis13–9-0.0124%17 May →
nuke13–8-0.0531%15 May →
inferno5–13-0.096%15 May →
nuke10–130.0111%13 May →
anubis13–4-0.017%13 May →
inferno10–13-0.0511%13 May →
sanctum8–8-0.0410%13 May →
nuke13–16-0.0721%11 May →
overpass13–5-0.0219%11 May →
mirage6–13-0.0728%11 May →
poseidon9–2-0.0810%11 May →

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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