NoKXeN

NoKXeN — CS2 Stats

DE76561198122244940[U:1:161979212]Steam profile ↗✓ No bans

1,676Tracked matches50%Win rate2020Tracked since
6,151Hours in CS6Hrs last 2 wks
CSDB Rating5.7 SolidSupport
Premier CS Rating16,465Purple band · top ~22.6% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (yesterday). 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: 16,465 -4,080 25 May – 30 Sept · 33 days played
14,32120,935peak 20,93525 May30 Sept
20,935Peak Premier in tracked matches
52Days played since 2026-05-25

Premier CS Rating

  • 4,470 below peak (20,935)
  • -1,303 over 30 days · declining
  • -4,470 over 90 days
  • Next: Pink band at 20,000 — 3,535 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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
Matches18——
Win rate50%——
K/D1.14——
Headshot %38%——

Measured 1 Sep 2026 → 1 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 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 rate33.3%44.3%46.9%13.6% short
Shot accuracy19.0%11.9%13.0%above
Kill/death ratio1.161.031.08above
Match win rate44.1%45.2%46.7%2.6% short

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.GGNoKXeNPREMIER16,465 · Purple bandcsdb.gg/stats

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Performance scores

Aim78
Positioning49
Utility53

0–100 skill scores via Leetify.

Recent form

COLD53–44–3Last 10053%Win rateLLLLWLLWLW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · +2.4pp headshot accuracy · +54ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 525ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 563ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 536ms

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 (+0.8 against its own average).

Aim7.8
Utility5.3
Positioning4.9
Opening Duels2.8
Clutch4.8

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

NiKo

Plays most like NiKo 93% 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 →

CSDB Rating breakdown

Aim7.8
Positioning4.9
Utility5.3
Mechanics5.5
Opening Duels2.5
Win Impact5.0

Composite 5.7/10 (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+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time542ms−20ms
first ⅓ avg 561ms → last ⅓ avg 542ms
Headshot accuracy15.7%+0.3%
first ⅓ avg 15.5% → last ⅓ avg 15.7%

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

0.12Best match rating · 13–3 · ancient, 9 Aug →
42%Best headshot accuracy · 3–13 · mirage, 24 Jun →
406msFastest reaction time · 3–13 · ancient, 8 Sept →
13–0Biggest win · ancient, 8 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L4Current streak
8–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 70% over 10cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2S3020–1067%0.01
anubisA159–660%0.04
nukeA148–657%0.03
mirageD134–931%-0.01
infernoS107–370%0.02
ancientD103–730%0.02
cacheD72–529%0.00
vertigo—10–10%-0.09

Across the last 100 tracked matches.

Lifetime stats

126,148Lifetime kills
1.16K/D · Top 25% of Purple band
6,107Matches
44.1%Match win rate
33.3%Headshot %
19.0%Shot accuracy · Top 5% of Purple band
15,532MVPs
2,605Hours (in match)
5,989Bombs planted
1,831Bombs defused

Most-used weapons

AK-4728,473
AWP25,036
P903,695
P2502,829
Tec-92,554
FAMAS2,550

Lifetime map wins

10,504dust2
8,910inferno
8,038nuke
2,158cbble
1,677train
1,057vertigo
497office
209aztec

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

Faceit stats

Combat

625Matches
52%Win rate
1.24Avg K/D
79.5ADR
30%Headshot %

Clutches & streaks

44%1v1 clutch win
24%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno5349%1.0815.6
Anubis4657%1.2515.7
Dust24154%1.1815.2
Mirage3850%1.1516.3
Ancient2948%1.3716.9
Nuke2955%1.2717.7
Vertigo1346%0.8912.8
Overpass862%1.3421.1

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.

15.3%Headshot accuracy
38.4%Accuracy (enemy spotted)
38.9%Spray accuracy
74.5%Counter-strafing
8.2°Preaim
535msReaction time
36.2%T opening success
44.1%CT opening success
0.57Enemies flashed / flash
3.8%Flash assists
9.88HE damage / grenade
5.06Flashes / 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. 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 36.2007% — below the 40% mark we flag

Spend your practice time on Cache

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0417%30 Sept →
nuke14–16-0.018%27 Sept →
dust27–13-0.047%14 Sept →
cache2–7-0.0415%11 Sept →
mirage13–8-0.0114%11 Sept →
anubis11–130.0226%10 Sept →
mirage10–130.0114%10 Sept →
inferno13–110.0917%10 Sept →
ancient3–130.0439%8 Sept →
ancient13–00.0018%8 Sept →
dust213–50.0722%5 Sept →
dust27–13-0.0114%5 Sept →
inferno13–11-0.016%4 Sept →
nuke5–130.0415%4 Sept →
anubis13–50.0513%4 Sept →
inferno16–140.0817%30 Aug →
dust211–130.0217%29 Aug →
inferno11–130.0622%29 Aug →
inferno9–6-0.0111%28 Aug →
dust213–5-0.0013%24 Aug →
nuke13–50.0715%23 Aug →
ancient3–130.0319%23 Aug →
mirage13–90.0416%23 Aug →
anubis13–60.0611%22 Aug →
ancient13–100.1021%22 Aug →
cache9–13-0.0414%21 Aug →
vertigo5–9-0.0930%21 Aug →
dust28–13-0.017%21 Aug →
dust213–110.0316%16 Aug →
mirage6–13-0.0611%15 Aug →
nuke13–40.0610%15 Aug →
dust213–10-0.0513%10 Aug →
mirage13–100.0112%10 Aug →
dust213–40.0313%10 Aug →
dust213–80.0215%10 Aug →
inferno13–80.0210%9 Aug →
dust213–9-0.0027%9 Aug →
ancient13–30.1228%9 Aug →
anubis13–100.096%9 Aug →
dust29–13-0.043%6 Aug →
dust213–60.0723%6 Aug →
anubis13–70.006%2 Aug →
nuke13–40.1011%2 Aug →
cache10–13-0.009%1 Aug →
anubis15–15-0.037%1 Aug →
mirage11–13-0.0512%1 Aug →
mirage13–40.0223%1 Aug →
dust28–13-0.017%1 Aug →
nuke6–13-0.026%1 Aug →
cache13–10-0.0014%31 Jul →
dust213–110.0418%29 Jul →
nuke13–110.0819%26 Jul →
nuke13–9-0.0221%26 Jul →
nuke10–13-0.0415%26 Jul →
anubis16–120.0612%25 Jul →
inferno7–13-0.078%25 Jul →
mirage15–15-0.0215%24 Jul →
nuke6–130.0313%24 Jul →
cache10–13-0.0115%24 Jul →
dust216–120.0311%21 Jul →
mirage9–130.0217%20 Jul →
dust213–90.0210%16 Jul →
dust28–130.0325%15 Jul →
dust213–10.0615%14 Jul →
anubis7–130.0713%13 Jul →
nuke13–70.0613%12 Jul →
cache10–130.006%12 Jul →
dust213–80.0213%12 Jul →
dust213–5-0.0422%11 Jul →
cache13–10.1018%10 Jul →
mirage14–16-0.0119%9 Jul →
ancient7–13-0.069%9 Jul →
dust26–13-0.0313%9 Jul →
anubis7–13-0.0314%9 Jul →
dust25–13-0.0519%8 Jul →
anubis13–90.1117%5 Jul →
anubis12–160.0713%5 Jul →
inferno13–90.0529%1 Jul →
dust213–4-0.0015%1 Jul →
dust216–130.0117%27 Jun →
mirage3–13-0.0842%24 Jun →
inferno8–13-0.0113%23 Jun →
anubis22–190.0114%23 Jun →
ancient10–130.0621%23 Jun →
dust213–110.047%20 Jun →
anubis13–110.0020%17 Jun →
nuke5–13-0.0118%17 Jun →
dust215–150.0414%12 Jun →
nuke13–100.0715%12 Jun →
inferno13–60.017%10 Jun →
anubis6–13-0.019%10 Jun →
dust213–9-0.0115%8 Jun →
ancient9–130.0321%7 Jun →
dust213–7-0.0810%7 Jun →
ancient8–13-0.0218%7 Jun →
mirage5–130.047%7 Jun →
dust213–90.017%7 Jun →
ancient3–13-0.058%5 Jun →
nuke13–50.0511%30 May →
anubis13–70.0716%25 May →

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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