nox

nox — CS2 Stats

76561199807718430[U:1:1847452702]Steam profile ↗✓ No bans

2,058Tracked matches56%Win rate2025Tracked since
2,334Hours in CS17Hrs last 2 wks
CSDB Rating5.6 SolidClutch Specialist
CSDB Leaderboard#88631 of 258313 tracked
FaceitLevel 6 · 962 ELOTop 54.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (50 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 962 → 962
+135Tracked matches · now 2,058
−6.9ppWin rate · 62.5% → 55.6%

Rating over time

Premier CS Rating: 19,790 +1,187 31 Aug – 9 Sept · 2 observations
18,60319,790peak 19,79031 Aug9 Sept
Faceit ELO: 962 +0 31 Aug – 9 Sept · 2 observations
962962peak 96231 Aug9 Sept
19,790Peak Premier on CSDB
962Highest Faceit ELO seen on CSDB
31Days played since 2026-08-31

Faceit ELO

  • At peak — 962
  • Next: Level 5 at 1,051 — 89 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-08-31
  • Level 3 first seen 2026-08-31

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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 rate48.0%44.8%45.7%above
Shot accuracy0.0%12.4%12.7%12.7% short
Kill/death ratio1.151.031.05above
Match win rate51.0%45.2%45.7%above

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGnoxFACEITLevel 6 · 962 ELOSTANDINGTop 54.0% of rankedPEAK ELO962csdb.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

Aim69
Positioning67
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY47–41–12Last 10047%Win rateLWTLWWLWLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +2.4pp headshot accuracy · −7ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 542ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 559ms

Last 20

  • 11–6–3 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 563ms

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 (+1.3 against its own average).

Aim6.9
Utility4.9
Positioning6.7
Opening Duels4.3
Clutch7.0

Reliable 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 86% 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

Reaction time. 584ms 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

Aim6.9
Positioning6.7
Utility4.9
Mechanics5.8
Opening Duels5.2
Win Impact6.9

Composite 5.6/10 (Solid), 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 rating0.03+0.03
first ⅓ avg -0.00 → last ⅓ avg 0.03
Reaction time586ms−6ms
first ⅓ avg 592ms → last ⅓ avg 586ms
Headshot accuracy22.0%+0.7%
first ⅓ avg 21.3% → last ⅓ avg 22.0%

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

0.17Best match rating · 13–2 · anubis, 4 Oct →
60%Best headshot accuracy · 10–13 · cache, 13 Oct →
422msFastest reaction time · 13–2 · vertigo, 11 Sept →
13–1Biggest win · inferno, 19 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–1In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 64% over 11trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B178–947%-0.01
infernoB157–847%0.01
cacheB126–650%0.01
vertigoB115–645%0.04
nukeA117–464%0.02
ancientC83–538%0.01
anubisA85–363%0.05
overpassB63–350%0.01
trainD51–420%0.01
mirage—41–325%0.02
boulder—10–10%-0.05
rush_001—11–0100%0.04
office—10–10%-0.09

Across the last 100 tracked matches.

Lifetime stats

53,569Lifetime kills
1.15K/D · Top 50% of Level 6 players
3,289Matches
51.0%Match win rate · Top 25% of Level 6 players
48.0%Headshot % · Top 50% of Level 6 players
0.0%Shot accuracy
7,691MVPs
1,282Hours (in match)
3,436Bombs planted
881Bombs defused

Most-used weapons

AK-4718,139
AWP4,045
MAC-101,375
MP91,243
MP71,207

Lifetime map wins

5,573dust2
4,516inferno
3,548nuke
2,009vertigo
1,023train
421office
101italy
13lake

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

Faceit stats

Combat

61Matches
62%Win rate
1.26Avg K/D
82.7ADR
53%Headshot %

Clutches & streaks

55%1v1 clutch win
29%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke1464%1.4017.6
Mirage1258%1.2418.4
Anubis1070%1.2515.3
Dust2862%1.1915.5
Ancient667%1.1516.7
Inferno367%1.1814.7
Overpass367%1.2518.0
Vertigo367%1.4418.7

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.

22.0%Headshot accuracy
34.0%Accuracy (enemy spotted)
33.9%Spray accuracy
76.1%Counter-strafing
9.8°Preaim
584msReaction time
50.1%T opening success
51.2%CT opening success
0.47Enemies flashed / flash
5.4%Flash assists
10.26HE damage / grenade
5.73Flashes / 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. 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 0.4687 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
vertigo11–130.0124%27 Oct →
vertigo13–100.0219%27 Oct →
ancient12–120.1326%27 Oct →
train9–13-0.0013%27 Oct →
inferno13–60.0223%27 Oct →
cache13–70.0517%25 Oct →
inferno9–130.0221%18 Oct →
dust213–30.0524%18 Oct →
inferno10–13-0.0418%18 Oct →
ancient13–60.0427%18 Oct →
nuke9–40.0422%18 Oct →
cache9–13-0.0614%17 Oct →
anubis10–130.0913%17 Oct →
vertigo12–12-0.0117%17 Oct →
train13–40.0012%17 Oct →
cache13–80.0216%17 Oct →
anubis13–50.0915%15 Oct →
inferno13–60.0028%15 Oct →
nuke13–8-0.0029%14 Oct →
vertigo12–120.0721%14 Oct →
boulder6–13-0.0525%13 Oct →
nuke7–13-0.0413%13 Oct →
cache10–130.0160%13 Oct →
dust25–13-0.0128%13 Oct →
mirage9–13-0.0130%13 Oct →
dust213–50.0513%13 Oct →
nuke13–90.1333%10 Oct →
vertigo13–60.0617%9 Oct →
mirage3–13-0.0413%9 Oct →
nuke13–11-0.0525%9 Oct →
rush_0015–20.0421%8 Oct →
nuke13–60.1028%7 Oct →
mirage13–50.1625%7 Oct →
nuke9–13-0.0514%7 Oct →
cache13–8-0.0120%7 Oct →
vertigo4–130.0533%7 Oct →
train10–13-0.0228%7 Oct →
inferno9–130.0215%6 Oct →
nuke12–120.0719%6 Oct →
ancient6–130.0021%4 Oct →
anubis13–20.1721%4 Oct →
anubis13–50.0717%3 Oct →
cache13–50.0920%1 Oct →
inferno12–12-0.0022%1 Oct →
overpass10–130.0318%1 Oct →
anubis13–110.0111%30 Sept →
dust213–110.0123%30 Sept →
cache13–20.0710%30 Sept →
train12–120.0733%28 Sept →
nuke13–7-0.0221%28 Sept →
ancient8–13-0.0416%27 Sept →
overpass13–100.0816%27 Sept →
inferno6–130.0013%26 Sept →
train9–130.0228%26 Sept →
vertigo13–40.1023%26 Sept →
dust213–8-0.0120%26 Sept →
anubis13–7-0.0425%26 Sept →
ancient13–9-0.0729%26 Sept →
dust213–60.0412%26 Sept →
overpass10–13-0.0027%23 Sept →
dust29–13-0.0312%23 Sept →
ancient9–13-0.0524%23 Sept →
cache0–90.0028%23 Sept →
vertigo6–130.0222%23 Sept →
ancient13–110.0530%22 Sept →
anubis9–13-0.0122%22 Sept →
dust212–12-0.0826%22 Sept →
cache9–13-0.0913%21 Sept →
dust21–13-0.0611%21 Sept →
dust212–12-0.0128%20 Sept →
overpass13–11-0.0222%20 Sept →
dust213–4-0.0530%20 Sept →
dust29–130.0126%20 Sept →
cache13–50.0822%20 Sept →
ancient8–130.0429%20 Sept →
inferno13–10.0722%19 Sept →
vertigo13–70.1116%19 Sept →
cache2–8-0.0117%19 Sept →
dust213–6-0.0023%19 Sept →
inferno8–13-0.0311%19 Sept →
overpass10–13-0.0029%18 Sept →
dust23–13-0.0717%18 Sept →
inferno13–90.0329%17 Sept →
inferno13–60.0924%17 Sept →
dust27–13-0.0131%17 Sept →
office4–13-0.0914%16 Sept →
dust27–13-0.0114%16 Sept →
inferno13–9-0.0426%16 Sept →
inferno7–13-0.0312%15 Sept →
vertigo9–130.0338%15 Sept →
cache9–13-0.0521%15 Sept →
anubis12–120.0214%14 Sept →
nuke13–7-0.0326%12 Sept →
inferno12–120.0927%12 Sept →
nuke12–120.1014%12 Sept →
mirage12–12-0.0410%11 Sept →
overpass13–11-0.0125%11 Sept →
vertigo13–2-0.0327%11 Sept →
inferno13–110.0017%11 Sept →
dust213–90.0418%11 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.