ZubNoX

ZubNoX — CS2 Stats

NO76561197970599232[U:1:10333504]Steam profile ↗✓ No bans

1,215Tracked matches37%Win rate2023Tracked since
1,749Hours in CS42Hrs last 2 wks
CSDB Rating4.2 DevelopingClutch Specialist
Premier CS Rating8,584Light Blue band · top ~61.7% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 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: 8,584 +812 28 Sept – 26 Oct · 23 days played
7,70210,363peak 10,36328 Sept26 Oct
10,363Peak Premier in tracked matches
25Days played since 2026-09-28

Premier CS Rating

  • 1,779 below peak (10,363)
  • +812 over 30 days · improving
  • Next: Blue band at 10,000 — 1,416 to go
  • Reached: 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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate32.9%39.9%42.0%9.1% short
Shot accuracy2.9%7.0%9.6%6.7% short
Kill/death ratio0.810.920.980.17 short
Match win rate39.5%42.3%43.8%4.3% short

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

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGZubNoXPREMIER8,584 · Light Blue bandcsdb.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

Aim54
Positioning50
Utility43

0–100 skill scores via Leetify.

Recent form

COLD41–54–5Last 10041%Win rateLLTWWLLWLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +1.5pp headshot accuracy · −8ms 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 11%
  • Avg reaction 667ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 625ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 629ms

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 (+3.7 against its own average).

Aim5.4
Utility4.3
Positioning5.0
Opening Duels1.1
Clutch8.4

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

ZywOo

Plays most like ZywOo 81% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim 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 →

Strengths & areas to improve

Areas to improve

CT openings. Opening success drops from 60% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 625ms 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

Aim5.4
Positioning5.0
Utility4.3
Mechanics6.1
Opening Duels4.2
Win Impact0.7

Composite 4.2/10 (Developing), 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 rating-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time646ms−1ms
first ⅓ avg 647ms → last ⅓ avg 646ms
Headshot accuracy9.6%−2.2%
first ⅓ avg 11.8% → last ⅓ avg 9.6%

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

0.13Best match rating · 9–4 · poseidon, 10 Oct →
38%Best headshot accuracy · 5–9 · inferno, 4 Oct →
469msFastest reaction time · 11–13 · anubis, 23 Oct →
13–0Biggest win · mirage, 12 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
4–12In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 55% over 22ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA2212–1055%-0.01
mirageB178–947%-0.01
dust2B178–947%-0.01
anubisD144–1029%-0.01
cacheC94–544%-0.02
ancientD71–614%-0.02
nukeB63–350%-0.03
vertigo—30–30%-0.03
poseidon—31–233%-0.04
train—10–10%-0.03
debris—10–10%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,043Lifetime kills
0.81K/D
2,626Matches
39.5%Match win rate
32.9%Headshot %
2.9%Shot accuracy
4,233MVPs
954Hours (in match)
2,626Bombs planted
746Bombs defused

Most-used weapons

AK-478,358
MP71,888
AUG1,514
AWP1,355
SG 5531,082
P90845

Lifetime map wins

4,176inferno
3,385nuke
2,146dust2
1,218vertigo
726train
51italy
51cbble
38office

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

Faceit stats

Combat

15Matches
33%Win rate
0.80Avg K/D
63.8ADR
29%Headshot %

Clutches & streaks

62%1v1 clutch win
20%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust250%0.4910.6
Mirage40%0.476.8
Inferno1100%1.7723.0
Nuke1100%2.4317.0
Cache10%0.7414.0
Vertigo1100%0.7112.0
Anubis1100%1.3324.0
Ancient1100%0.628.0

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.

10.6%Headshot accuracy
36.8%Accuracy (enemy spotted)
36.8%Spray accuracy
77.4%Counter-strafing
11.0°Preaim
625msReaction time
59.7%T opening success
34.1%CT opening success
0.36Enemies flashed / flash
4.1%Flash assists
4.20HE damage / grenade
8.94Flashes / 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 10.5592% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3613 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 34.0598% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.025%26 Oct →
inferno14–16-0.036%26 Oct →
nuke15–15-0.0511%26 Oct →
dust213–10-0.077%26 Oct →
dust213–70.0124%26 Oct →
anubis11–130.0414%25 Oct →
dust26–13-0.047%25 Oct →
dust213–70.0615%25 Oct →
cache7–13-0.094%23 Oct →
anubis11–13-0.0112%23 Oct →
dust29–13-0.034%23 Oct →
dust213–50.0519%23 Oct →
inferno13–9-0.0116%22 Oct →
ancient9–13-0.0211%22 Oct →
anubis8–13-0.034%22 Oct →
inferno13–90.005%22 Oct →
inferno14–16-0.038%21 Oct →
mirage13–110.016%21 Oct →
anubis15–150.0313%21 Oct →
mirage14–16-0.034%21 Oct →
inferno13–11-0.036%21 Oct →
mirage10–13-0.066%20 Oct →
ancient13–16-0.068%20 Oct →
nuke13–60.0020%20 Oct →
dust27–13-0.023%19 Oct →
inferno4–13-0.0113%19 Oct →
nuke2–13-0.088%19 Oct →
cache16–12-0.0226%18 Oct →
anubis8–130.0313%18 Oct →
inferno3–9-0.0411%18 Oct →
vertigo0–9-0.170%17 Oct →
poseidon0–9-0.210%17 Oct →
poseidon2–9-0.0511%17 Oct →
ancient12–120.0023%16 Oct →
cache13–7-0.0014%16 Oct →
inferno13–4-0.0212%16 Oct →
nuke13–5-0.019%15 Oct →
cache9–13-0.0413%15 Oct →
inferno13–11-0.0310%15 Oct →
inferno13–7-0.0213%15 Oct →
mirage14–16-0.069%15 Oct →
dust213–40.019%15 Oct →
nuke13–16-0.0612%15 Oct →
inferno7–130.008%14 Oct →
dust25–13-0.0615%14 Oct →
ancient3–13-0.0413%14 Oct →
cache13–9-0.019%14 Oct →
mirage11–130.008%14 Oct →
inferno10–130.0812%13 Oct →
mirage13–0-0.004%12 Oct →
inferno13–60.0413%12 Oct →
mirage10–13-0.018%12 Oct →
ancient13–11-0.0114%12 Oct →
mirage7–130.017%12 Oct →
train5–13-0.0320%12 Oct →
dust22–13-0.0813%12 Oct →
mirage13–80.0421%11 Oct →
inferno13–7-0.0213%11 Oct →
anubis9–13-0.0510%10 Oct →
dust213–10-0.0421%10 Oct →
poseidon9–40.1325%10 Oct →
inferno9–10.088%10 Oct →
mirage13–10-0.037%6 Oct →
cache13–10-0.0310%6 Oct →
anubis13–10-0.0711%6 Oct →
dust25–13-0.0616%6 Oct →
inferno0–9-0.150%6 Oct →
inferno11–130.0110%6 Oct →
cache7–130.0313%6 Oct →
inferno13–9-0.0219%5 Oct →
mirage13–80.0010%5 Oct →
mirage7–13-0.086%5 Oct →
mirage13–30.0313%5 Oct →
ancient11–130.0113%4 Oct →
nuke13–5-0.0114%4 Oct →
inferno5–9-0.0938%4 Oct →
inferno13–70.0817%3 Oct →
cache10–130.0113%2 Oct →
ancient5–13-0.0520%2 Oct →
anubis2–13-0.057%2 Oct →
anubis1–13-0.0916%2 Oct →
cache4–13-0.0610%2 Oct →
mirage0–13-0.027%2 Oct →
anubis11–130.027%2 Oct →
inferno13–50.0619%2 Oct →
dust213–50.038%2 Oct →
anubis15–15-0.069%2 Oct →
mirage13–7-0.030%2 Oct →
dust210–130.0020%1 Oct →
anubis13–80.058%1 Oct →
anubis16–120.0512%30 Sept →
inferno6–13-0.060%30 Sept →
debris4–9-0.074%30 Sept →
dust216–12-0.0015%30 Sept →
anubis13–9-0.0412%29 Sept →
dust211–130.0312%29 Sept →
vertigo6–130.0316%29 Sept →
mirage13–90.024%28 Sept →
dust211–13-0.0015%28 Sept →
vertigo12–120.055%28 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.