YaZooN

YaZooN — CS2 Stats

SY76561199817177209[U:1:1856911481]Steam profile ↗✓ No bans

1,932Tracked matches41%Win rate2025Tracked since
1,593Hours in CS32Hrs last 2 wks
CSDB Rating4.4 DevelopingPositional Player
Premier CS Rating13,312Blue band · top ~37.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 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: 13,312 -4,247 4 Sept – 14 Nov · 21 days played
13,31218,291peak 18,2914 Sept14 Nov
18,527Peak Premier in tracked matches
14Days played since 2026-09-04

Premier CS Rating

  • 4,979 below peak (18,291)
  • -1,907 over 30 days · declining
  • Next: Purple band at 15,000 — 1,688 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-04
  • Blue band first seen 2026-09-04

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 Blue band among CSDB-tracked players (n=23,968), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate50.8%42.0%44.4%above
Shot accuracy0.0%9.7%11.8%11.8% short
Kill/death ratio0.890.981.030.14 short
Match win rate54.8%43.8%45.3%above

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGYaZooNPREMIER13,312 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning48
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateLWWWWLLLLW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · +1.5pp headshot accuracy · +43ms reaction

Win rate up 20pp 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 -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 764ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 22%
  • Avg reaction 696ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 21%
  • Avg reaction 675ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim4.6
Utility4.6
Positioning4.8
Opening Duels0.8

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

iM

Plays most like iM 76% playstyle similarity

Most alike: utility contribution, positioning profile.

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 55% on T to 38% on CT — first contacts on the defending side are being lost.

Reaction time. 707ms 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

Aim4.6
Positioning4.8
Utility4.6
Mechanics6.4
Opening Duels4.2
Win Impact1.9

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.03
first ⅓ avg -0.01 → last ⅓ avg -0.04
Reaction time694ms+29ms
first ⅓ avg 665ms → last ⅓ avg 694ms
Headshot accuracy23.9%+0.2%
first ⅓ avg 23.7% → last ⅓ avg 23.9%

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

0.16Best match rating · 12–12 · dust2, 3 Nov →
63%Best headshot accuracy · 3–12 · nuke, 5 Nov →
469msFastest reaction time · 13–4 · ancient, 21 Oct →
13–1Biggest win · mirage, 21 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
7–3In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 70% over 10nukeWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B2413–1154%0.01
mirageA1810–856%-0.02
infernoB147–750%-0.04
nukeD133–1023%-0.03
cacheC114–736%-0.01
anubisS107–370%-0.03
ancientD103–730%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,910Lifetime kills
0.89K/D
2,155Matches
54.8%Match win rate · Top 5% of Blue band
50.8%Headshot % · Top 25% of Blue band
0.0%Shot accuracy
4,687MVPs
820Hours (in match)
1,447Bombs planted
456Bombs defused

Most-used weapons

Lifetime map wins

15,342dust2
1,334inferno
1,050nuke
78train
23vertigo
9office
3ar_baggage
2ar_shoots

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

23.7%Headshot accuracy
27.7%Accuracy (enemy spotted)
26.1%Spray accuracy
78.9%Counter-strafing
9.9°Preaim
707msReaction time
55.3%T opening success
38.0%CT opening success
0.57Enemies flashed / flash
2.8%Flash assists
8.75HE damage / grenade
5.91Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 706.5455ms — above the 700ms mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 38.0083% — below the 40% mark we flag

Spend your practice time on Nuke

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–10-0.0620%14 Nov →
dust213–20.0818%14 Nov →
anubis13–8-0.0117%14 Nov →
mirage16–13-0.0252%14 Nov →
mirage16–12-0.0719%14 Nov →
nuke9–13-0.0520%14 Nov →
nuke6–13-0.186%14 Nov →
anubis4–13-0.0533%14 Nov →
mirage6–13-0.0714%14 Nov →
mirage13–6-0.0721%14 Nov →
anubis13–8-0.0412%14 Nov →
ancient8–13-0.0711%14 Nov →
dust28–13-0.0821%13 Nov →
inferno6–13-0.0618%13 Nov →
inferno15–15-0.0418%13 Nov →
mirage7–13-0.0629%13 Nov →
ancient2–13-0.1324%12 Nov →
nuke7–13-0.0232%12 Nov →
ancient13–70.0521%12 Nov →
anubis13–11-0.0222%11 Nov →
dust213–40.0525%11 Nov →
anubis15–15-0.0719%11 Nov →
anubis13–3-0.0316%11 Nov →
cache8–13-0.0338%11 Nov →
nuke11–13-0.0227%11 Nov →
anubis13–110.0333%11 Nov →
ancient8–13-0.0711%11 Nov →
dust212–12-0.0515%11 Nov →
mirage4–13-0.0335%5 Nov →
nuke3–12-0.0763%5 Nov →
inferno3–13-0.0127%5 Nov →
anubis13–10-0.0132%5 Nov →
mirage13–11-0.0825%5 Nov →
mirage7–13-0.0419%5 Nov →
cache6–130.0518%5 Nov →
cache13–6-0.0324%5 Nov →
cache6–13-0.0519%5 Nov →
mirage8–13-0.0127%5 Nov →
dust213–90.0628%5 Nov →
dust25–13-0.0713%5 Nov →
dust213–90.0831%3 Nov →
mirage9–13-0.0421%3 Nov →
cache10–13-0.0126%3 Nov →
dust28–13-0.0517%3 Nov →
dust212–120.1622%3 Nov →
dust26–13-0.0218%1 Nov →
nuke7–13-0.0621%1 Nov →
inferno13–70.0137%1 Nov →
dust213–110.0220%1 Nov →
nuke14–16-0.0330%21 Oct →
ancient10–13-0.0711%21 Oct →
nuke13–70.0222%21 Oct →
dust213–100.0223%21 Oct →
anubis13–3-0.0041%21 Oct →
mirage13–10.0311%21 Oct →
ancient13–40.1423%21 Oct →
inferno13–110.0123%21 Oct →
dust213–100.0420%21 Oct →
dust213–110.0120%21 Oct →
inferno13–6-0.0321%21 Oct →
inferno15–15-0.0411%21 Oct →
inferno10–13-0.0424%18 Oct →
inferno13–8-0.0419%18 Oct →
nuke13–80.0533%18 Oct →
ancient16–120.0313%18 Oct →
mirage13–3-0.0413%18 Oct →
inferno13–7-0.0521%15 Oct →
dust26–130.0024%15 Oct →
mirage7–13-0.0418%15 Oct →
inferno4–13-0.0913%15 Oct →
dust29–13-0.0123%7 Oct →
dust213–60.0230%7 Oct →
inferno6–13-0.1012%7 Oct →
dust216–140.0413%7 Oct →
nuke7–13-0.0117%7 Oct →
cache13–16-0.0339%6 Oct →
inferno13–6-0.0731%6 Oct →
ancient10–130.0223%6 Oct →
anubis4–13-0.0826%6 Oct →
mirage13–20.0839%6 Oct →
dust29–13-0.0829%6 Oct →
mirage13–5-0.0122%6 Oct →
dust22–13-0.0226%6 Oct →
cache13–5-0.0222%3 Oct →
dust213–50.0425%3 Oct →
mirage16–12-0.0227%3 Oct →
cache13–16-0.0215%3 Oct →
nuke13–30.0137%2 Oct →
dust24–13-0.0321%2 Oct →
mirage6–100.0819%2 Oct →
ancient10–130.0021%2 Oct →
cache13–9-0.0326%2 Oct →
nuke11–13-0.0415%2 Oct →
cache13–90.1427%2 Oct →
inferno13–40.0153%2 Oct →
cache8–13-0.0128%2 Oct →
ancient4–130.039%2 Oct →
mirage7–00.0322%2 Oct →
dust213–10-0.0016%2 Oct →
dust213–10-0.0715%2 Oct →

Match data via Leetify.

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.