Nkd NEVERDUST

Nkd NEVERDUST — CS2 Stats

76561197963161130[U:1:2895402]Steam profile ↗✓ No bans

468Tracked matches52%Win rate2020Tracked since
2,561Hours in CS3Hrs last 2 wks
CSDB Rating5.6 SolidSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 12,386 -266 22 Mar – 3 Jul · 16 days played
12,11014,218peak 14,21822 Mar3 Jul
14,218Peak Premier in tracked matches
52Days played since 2026-03-22

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 Level 4 among CSDB-tracked players (n=13,998), 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 4 medianLevel 5 medianvs Level 5
Headshot rate47.4%42.7%43.7%above
Shot accuracy15.5%11.3%12.0%above
Kill/death ratio1.070.991.02above
Match win rate43.1%43.9%44.7%1.6% short

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNkd NEVERDUSTFACEITLevel 4STANDINGTop 81.0% 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

Aim64
Positioning49
Utility49

0–100 skill scores via Leetify.

Recent form

COLD43–51–6Last 10043%Win rateTLTLLLLWWW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −4.1pp headshot accuracy · +6ms 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

  • 0–3–2 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 705ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 700ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 697ms

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 (+1.6 against its own average).

Aim6.4
Utility4.9
Positioning4.9
Opening Duels0.8
Clutch2.6

Limited 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

Twistzz

Plays most like Twistzz 87% 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. 697ms 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

Aim6.4
Positioning4.9
Utility4.9
Mechanics8.2
Opening Duels2.0
Win Impact5.6

Composite 5.6/10 (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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time695ms−69ms
first ⅓ avg 764ms → last ⅓ avg 695ms
Headshot accuracy19.8%+4.9%
first ⅓ avg 15.0% → last ⅓ avg 19.8%

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

0.14Best match rating · 9–4 · ancient, 5 Aug →
44%Best headshot accuracy · 2–13 · cache, 12 May →
539msFastest reaction time · 11–13 · office, 3 Sept →
13–0Biggest win · cache, 28 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

vertigoBest map · 57% over 7trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB178–947%-0.03
nukeB158–753%-0.01
anubisB136–746%-0.04
cacheD134–931%-0.04
overpassD124–833%-0.04
ancientB105–550%0.02
vertigoA74–357%0.00
trainD51–420%-0.05
dust2—31–233%-0.06
mirage—31–233%-0.01
office—21–150%0.00

Across the last 100 tracked matches.

Lifetime stats

44,187Lifetime kills
1.07K/D · Top 50% of Level 4 players
2,115Matches
43.1%Match win rate
47.4%Headshot % · Top 50% of Level 4 players
15.5%Shot accuracy · Top 25% of Level 4 players
4,340MVPs
897Hours (in match)
2,083Bombs planted
399Bombs defused

Most-used weapons

Lifetime map wins

2,807dust2
2,795inferno
1,679nuke
848train
746cbble
423vertigo
93lake
92shorttrain

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

Faceit stats

Combat

94Matches
62%Win rate
0.81Avg K/D
70.7ADR
45%Headshot %

Clutches & streaks

33%1v1 clutch win
19%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1963%0.9113.3
Ancient1788%0.8815.1
Nuke1631%0.6510.1
Anubis1354%0.7210.5
Dust2944%0.8012.3
Mirage786%0.6811.9
Cache540%0.6811.4
Overpass3100%1.2515.7

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.

19.9%Headshot accuracy
36.6%Accuracy (enemy spotted)
36.4%Spray accuracy
87.0%Counter-strafing
11.9°Preaim
697msReaction time
43.5%T opening success
32.2%CT opening success
0.44Enemies flashed / flash
6.8%Flash assists
14.28HE damage / grenade
3.27Flashes / 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 0.4354 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 32.1887% — below the 40% mark we flag

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
inferno12–12-0.0418%2 Oct →
dust28–13-0.0019%26 Sept →
mirage12–12-0.006%26 Sept →
inferno7–13-0.1015%26 Sept →
vertigo10–13-0.0110%26 Sept →
ancient10–130.058%25 Sept →
inferno6–13-0.0321%25 Sept →
inferno13–5-0.0829%25 Sept →
ancient13–90.0520%25 Sept →
vertigo13–100.0227%25 Sept →
inferno13–110.0214%25 Sept →
anubis13–10-0.0120%13 Sept →
nuke13–70.0111%13 Sept →
cache11–13-0.0216%13 Sept →
nuke13–90.0725%11 Sept →
inferno12–12-0.0123%11 Sept →
nuke13–2-0.0331%4 Sept →
anubis2–13-0.0820%4 Sept →
office11–13-0.0333%3 Sept →
office13–30.0320%3 Sept →
cache8–13-0.0223%30 Aug →
cache13–0-0.0626%28 Aug →
nuke11–13-0.0329%22 Aug →
anubis13–30.048%22 Aug →
mirage13–110.0119%22 Aug →
inferno13–7-0.0224%21 Aug →
vertigo13–80.0421%20 Aug →
train8–13-0.0426%15 Aug →
train4–13-0.1027%14 Aug →
anubis8–130.0315%14 Aug →
train10–13-0.0421%13 Aug →
train13–2-0.0512%13 Aug →
cache5–130.0117%8 Aug →
inferno7–13-0.0213%5 Aug →
ancient9–40.1423%5 Aug →
nuke4–13-0.0620%5 Aug →
inferno13–10-0.0817%17 Jul →
ancient6–13-0.120%17 Jul →
cache13–5-0.1025%17 Jul →
dust213–16-0.1024%17 Jul →
ancient14–16-0.0516%15 Jul →
cache12–120.0431%4 Jul →
nuke3–13-0.0617%3 Jul →
overpass13–6-0.0917%3 Jul →
overpass8–13-0.0719%3 Jul →
overpass4–13-0.0914%26 Jun →
nuke5–130.0335%26 Jun →
cache8–13-0.0518%26 Jun →
inferno7–13-0.0318%26 Jun →
nuke13–9-0.0617%25 Jun →
cache13–5-0.0720%25 Jun →
inferno9–13-0.0615%12 Jun →
ancient2–13-0.0323%22 May →
overpass15–15-0.0412%16 May →
nuke13–10-0.0122%12 May →
anubis7–13-0.0729%12 May →
cache2–13-0.1044%12 May →
anubis13–7-0.0410%9 May →
ancient13–80.0118%9 May →
overpass11–13-0.0216%9 May →
cache11–13-0.0817%9 May →
inferno9–13-0.0213%4 May →
cache13–7-0.0019%3 May →
cache5–13-0.1135%3 May →
ancient13–80.0315%1 May →
cache12–12-0.0017%29 Apr →
nuke7–13-0.0214%27 Apr →
nuke10–13-0.0519%26 Apr →
dust213–8-0.0617%26 Apr →
inferno13–60.0213%25 Apr →
inferno10–13-0.0416%18 Apr →
overpass8–13-0.0517%18 Apr →
overpass5–13-0.0415%15 Apr →
vertigo7–13-0.0813%13 Apr →
vertigo13–50.0520%13 Apr →
anubis7–13-0.068%13 Apr →
vertigo13–6-0.0124%12 Apr →
mirage10–13-0.0420%11 Apr →
inferno10–4-0.0121%11 Apr →
overpass8–13-0.0112%9 Apr →
nuke8–130.0421%8 Apr →
overpass13–10.0413%7 Apr →
train10–13-0.0211%6 Apr →
nuke13–8-0.0511%4 Apr →
anubis13–10-0.0111%4 Apr →
inferno13–10.0119%4 Apr →
overpass13–40.006%4 Apr →
anubis13–9-0.0411%4 Apr →
overpass13–110.0112%3 Apr →
ancient13–80.0813%3 Apr →
anubis3–13-0.1113%2 Apr →
anubis11–13-0.086%2 Apr →
anubis0–13-0.0117%2 Apr →
ancient13–16-0.028%31 Mar →
vertigo8–13-0.0026%31 Mar →
anubis13–10-0.0311%30 Mar →
inferno13–30.0612%30 Mar →
overpass4–13-0.1016%27 Mar →
nuke4–20.0429%25 Mar →
nuke13–7-0.0214%22 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 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.