blackn0X

blackn0X — CS2 Stats

NO76561197960545688[U:1:279960]Steam profile ↗✓ No bans

2,254Tracked matches45%Win rate2020Tracked since
3,318Hours in CS25Hrs last 2 wks
CSDB Rating5.9 SolidSupport
Premier CS Rating15,426Purple band · top ~26.7% of ranked players (population est.)
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 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: 15,426 -2,192 8 Sept – 23 Oct · 12 days played
15,42617,618peak 17,6188 Sept23 Oct
17,663Peak Premier in tracked matches
992Highest Faceit ELO seen on CSDB
18Days played since 2026-09-08

Faceit ELO

  • At peak — 992
  • Next: Level 5 at 1,051 — 59 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 2,192 below peak (17,618)
  • -1,043 over 30 days · declining
  • Next: Pink band at 20,000 — 4,574 to go
  • Reached: Purple band · Blue band · Light Blue band

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 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 rate37.3%44.4%46.9%9.6% short
Shot accuracy11.6%11.9%13.0%1.4% short
Kill/death ratio0.991.031.080.09 short
Match win rate39.3%45.2%46.7%7.4% short

This profile sits below the typical Pink band player on every metric we can compare.

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.GGblackn0XPREMIER15,426 · Purple bandPEAK ELO992csdb.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
Positioning58
Utility59

0–100 skill scores via Leetify.

Recent form

HOT45–53–2Last 10045%Win rateWWWWLWWLWL

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · −0.9pp headshot accuracy · −46ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 567ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 559ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 582ms

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 (+1.5 against its own average).

Aim6.9
Utility5.9
Positioning5.8
Opening Duels3.1
Clutch2.8

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

ZywOo

Plays most like ZywOo 88% 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 58% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 595ms 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
Positioning5.8
Utility5.9
Mechanics6.5
Opening Duels4.6
Win Impact3.3

Composite 5.9/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time586ms+28ms
first ⅓ avg 558ms → last ⅓ avg 586ms
Headshot accuracy18.0%+1.5%
first ⅓ avg 16.5% → last ⅓ avg 18.0%

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

0.11Best match rating · 13–8 · train, 7 Oct →
75%Best headshot accuracy · 4–13 · mirage, 18 Sept →
391msFastest reaction time · 13–8 · inferno, 8 Sept →
13–1Biggest win · mirage, 23 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
8–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 64% over 11cacheWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC208–1240%-0.01
dust2A169–756%-0.02
anubisC135–838%0.01
mirageB136–746%-0.01
ancientB126–650%0.00
nukeA117–464%0.00
cacheD91–811%-0.01
vertigo—31–233%0.06
train—22–0100%0.07
overpass—10–10%-0.04

Across the last 100 tracked matches.

Lifetime stats

88,427Lifetime kills
0.99K/D
4,939Matches
39.3%Match win rate
37.3%Headshot %
11.6%Shot accuracy
8,158MVPs
1,880Hours (in match)
6,984Bombs planted
1,016Bombs defused

Most-used weapons

AK-4719,453
AWP17,307
SG 5534,429
FAMAS2,203
AUG1,753

Lifetime map wins

7,305inferno
5,193dust2
3,550nuke
2,334vertigo
1,294train
646office
386cbble
156italy

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

Faceit stats

Combat

156Matches
52%Win rate
1.02Avg K/D
73.7ADR
40%Headshot %

Clutches & streaks

34%1v1 clutch win
19%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno3348%0.9014.8
Ancient2756%1.1514.6
Dust22552%0.9414.1
Mirage2250%0.9613.9
Nuke1759%1.2518.3
Anubis1346%0.9815.0
Overpass667%1.3016.3
Vertigo450%1.0016.0

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.

17.5%Headshot accuracy
38.3%Accuracy (enemy spotted)
39.5%Spray accuracy
79.4%Counter-strafing
11.7°Preaim
595msReaction time
57.6%T opening success
39.0%CT opening success
0.54Enemies flashed / flash
8.9%Flash assists
10.00HE damage / grenade
7.84Flashes / 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

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

    CT opening duels 39.0271% — 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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–70.0413%27 Oct →
dust213–70.0322%27 Oct →
anubis13–70.0516%27 Oct →
ancient13–50.0326%27 Oct →
nuke14–16-0.0114%27 Oct →
dust213–7-0.0321%27 Oct →
inferno13–11-0.048%27 Oct →
inferno9–13-0.0920%23 Oct →
dust213–9-0.0711%23 Oct →
nuke2–13-0.0219%23 Oct →
ancient13–60.0116%23 Oct →
nuke13–30.0516%23 Oct →
mirage6–13-0.0121%23 Oct →
anubis8–130.0425%23 Oct →
mirage13–2-0.0212%22 Oct →
mirage11–13-0.0627%22 Oct →
mirage11–13-0.0120%22 Oct →
mirage13–100.0113%22 Oct →
dust25–13-0.0619%22 Oct →
cache12–16-0.0310%22 Oct →
cache12–120.1011%21 Oct →
cache5–13-0.0322%21 Oct →
cache8–130.0419%21 Oct →
dust28–130.0021%17 Oct →
overpass10–13-0.0418%17 Oct →
ancient10–13-0.0216%17 Oct →
dust210–13-0.0523%17 Oct →
nuke13–6-0.0223%17 Oct →
ancient13–110.0210%17 Oct →
anubis7–130.0219%17 Oct →
inferno11–130.0118%17 Oct →
nuke13–100.0714%17 Oct →
inferno13–50.0531%14 Oct →
train13–50.0410%8 Oct →
inferno15–150.0115%8 Oct →
cache13–10-0.0517%8 Oct →
inferno11–130.0016%8 Oct →
dust213–10-0.0227%8 Oct →
train13–80.1124%7 Oct →
cache11–13-0.0419%4 Oct →
cache11–13-0.0414%4 Oct →
nuke13–110.0140%4 Oct →
anubis3–13-0.0419%4 Oct →
anubis13–80.0518%4 Oct →
cache10–13-0.0119%3 Oct →
inferno13–16-0.0425%3 Oct →
dust213–90.0117%3 Oct →
inferno11–13-0.0411%3 Oct →
mirage13–40.0324%3 Oct →
dust23–13-0.0923%3 Oct →
anubis13–9-0.0310%24 Sept →
ancient13–40.0223%23 Sept →
nuke13–11-0.0420%23 Sept →
anubis6–130.0217%23 Sept →
mirage5–13-0.0714%23 Sept →
vertigo13–110.0723%23 Sept →
vertigo5–130.0221%23 Sept →
vertigo9–130.0827%23 Sept →
mirage13–10.1017%23 Sept →
anubis8–13-0.0415%23 Sept →
inferno14–16-0.0314%23 Sept →
anubis13–60.0312%19 Sept →
inferno4–13-0.0621%19 Sept →
nuke5–13-0.0713%19 Sept →
anubis7–130.0416%19 Sept →
anubis3–13-0.0010%18 Sept →
anubis13–7-0.0311%18 Sept →
dust28–13-0.0027%18 Sept →
mirage4–13-0.0575%18 Sept →
dust213–20.0218%18 Sept →
mirage13–80.0519%11 Sept →
ancient9–13-0.0518%11 Sept →
inferno13–4-0.0231%11 Sept →
mirage7–13-0.0211%11 Sept →
nuke13–50.0511%11 Sept →
dust213–8-0.016%10 Sept →
inferno3–130.0711%10 Sept →
ancient13–30.0422%10 Sept →
inferno12–16-0.0216%10 Sept →
mirage7–13-0.0811%10 Sept →
inferno12–16-0.017%10 Sept →
inferno9–13-0.0113%10 Sept →
dust213–11-0.0619%10 Sept →
inferno13–11-0.075%10 Sept →
dust24–13-0.088%9 Sept →
anubis9–130.0210%9 Sept →
dust24–130.0115%9 Sept →
ancient11–130.0019%9 Sept →
dust213–110.0817%9 Sept →
inferno13–3-0.029%9 Sept →
inferno13–60.0618%9 Sept →
ancient9–13-0.069%9 Sept →
inferno13–50.0611%9 Sept →
ancient8–130.0016%9 Sept →
ancient13–50.0217%9 Sept →
cache7–13-0.0525%9 Sept →
mirage16–13-0.0017%8 Sept →
inferno13–8-0.0415%8 Sept →
nuke6–13-0.0410%8 Sept →
ancient3–13-0.017%8 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 →

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