yang — CS2 Stats

76561198027933230[U:1:67667502]✓ No bans

435Tracked matches47%Win rate2020Tracked since
1,272Hours in CS17Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
Premier CS Rating17,782Purple band · top ~17.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 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: 17,782 +3,194 16 Jun – 9 Oct · 23 days played
14,47420,360peak 20,36016 Jun9 Oct
20,360Peak Premier in tracked matches
44Days played since 2026-06-10

Premier CS Rating

  • 2,578 below peak (20,360)
  • -2,406 over 30 days · declining
  • +2,009 over 90 days
  • Next: Pink band at 20,000 — 2,218 to go
  • Reached: Pink band · 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 rate44.7%44.3%46.9%2.2% short
Shot accuracy13.0%11.9%13.0%meets
Kill/death ratio1.141.031.08above
Match win rate46.1%45.2%46.7%meets

This profile matches the typical Pink band player on 3 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.GGyangPREMIER17,782 · Purple bandcsdb.gg/stats

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Performance scores

Aim66
Positioning56
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateLLWWWWLWLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +1.7pp headshot accuracy · −11ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 580ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 567ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 573ms

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 (+1.5 against its own average).

Aim6.6
Utility4.8
Positioning5.6
Opening Duels2.0

Strong CT-side opener

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 86% 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

Reaction time. 572ms 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

Aim6.6
Positioning5.6
Utility4.8
Mechanics7.5
Opening Duels4.1
Win Impact3.9

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 rating-0.02−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time568ms−45ms
first ⅓ avg 613ms → last ⅓ avg 568ms
Headshot accuracy19.8%−0.0%
first ⅓ avg 19.8% → 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

0.13Best match rating · 13–1 · mirage, 8 Oct →
40%Best headshot accuracy · 13–2 · dust2, 15 Jul →
422msFastest reaction time · 5–13 · inferno, 18 Sept →
13–0Biggest win · vertigo, 4 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
8–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 67% over 9mirageWeakest map · 32% over 28
MapGradePlayedRecordWin rateAvg rating
mirageD289–1932%-0.03
cacheC156–940%-0.02
dust2C156–940%-0.01
infernoC146–843%-0.02
anubisS96–367%-0.01
ancientA74–357%-0.02
nukeC52–340%-0.00
overpass—43–175%-0.02
vertigo—22–0100%0.04
office—10–10%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (32% over 28). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,444Lifetime kills
1.14K/D · Top 50% of Purple band
1,780Matches
46.1%Match win rate · Top 50% of Purple band
44.7%Headshot % · Top 50% of Purple band
13.0%Shot accuracy · Top 50% of Purple band
3,789MVPs
706Hours (in match)
2,039Bombs planted
438Bombs defused

Most-used weapons

Lifetime map wins

6,433dust2
1,557inferno
642nuke
449train
373cbble
316vertigo
120dust
70office

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.

19.5%Headshot accuracy
31.3%Accuracy (enemy spotted)
35.0%Spray accuracy
83.9%Counter-strafing
11.0°Preaim
572msReaction time
46.1%T opening success
46.7%CT opening success
0.57Enemies flashed / flash
5.3%Flash assists
5.07HE damage / grenade
11.61Flashes / match

Recommended for you

Spend your practice time on Mirage

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

32% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0325%9 Oct →
inferno4–13-0.0517%9 Oct →
cache13–80.0119%9 Oct →
inferno13–70.0215%8 Oct →
mirage13–10.1329%8 Oct →
anubis13–4-0.0021%8 Oct →
nuke4–13-0.0919%7 Oct →
mirage13–8-0.0235%7 Oct →
cache12–16-0.0824%6 Oct →
mirage9–13-0.0318%2 Oct →
cache4–13-0.0713%2 Oct →
dust29–130.0729%2 Oct →
mirage4–13-0.0419%1 Oct →
anubis13–16-0.0123%1 Oct →
mirage11–13-0.0412%30 Sept →
mirage1–13-0.0736%30 Sept →
mirage11–13-0.0422%25 Sept →
cache13–5-0.0114%25 Sept →
mirage13–11-0.0620%24 Sept →
dust213–6-0.0118%24 Sept →
overpass13–2-0.0218%24 Sept →
inferno3–13-0.0816%24 Sept →
ancient13–4-0.0324%23 Sept →
anubis13–80.0514%23 Sept →
nuke9–13-0.0314%23 Sept →
dust213–100.0121%23 Sept →
cache16–14-0.0514%22 Sept →
overpass13–40.028%22 Sept →
inferno5–13-0.0119%18 Sept →
mirage7–13-0.0316%18 Sept →
ancient6–13-0.0419%17 Sept →
cache7–13-0.0720%17 Sept →
mirage10–13-0.0726%17 Sept →
inferno16–13-0.0022%16 Sept →
dust29–13-0.0523%16 Sept →
inferno11–13-0.0215%11 Sept →
anubis15–15-0.0213%10 Sept →
anubis6–13-0.0413%10 Sept →
cache7–13-0.0215%10 Sept →
mirage11–13-0.0316%9 Sept →
anubis13–40.0010%4 Sept →
inferno3–13-0.0515%4 Sept →
inferno13–4-0.0417%3 Sept →
ancient13–10-0.066%3 Sept →
cache13–7-0.0420%3 Sept →
dust210–13-0.0219%2 Sept →
dust210–13-0.0429%2 Sept →
dust23–13-0.0116%1 Sept →
ancient5–13-0.0310%1 Sept →
mirage16–14-0.0415%1 Sept →
cache11–13-0.0217%28 Aug →
anubis13–8-0.0318%28 Aug →
mirage8–13-0.0427%28 Aug →
mirage4–13-0.1111%26 Aug →
mirage13–50.0419%26 Aug →
cache10–130.0116%26 Aug →
dust213–10-0.0225%26 Aug →
mirage13–8-0.0317%25 Aug →
nuke13–80.0928%25 Aug →
cache13–5-0.0234%25 Aug →
inferno5–13-0.1217%25 Aug →
mirage11–130.0019%21 Aug →
anubis13–90.0316%20 Aug →
inferno13–70.0122%20 Aug →
dust29–13-0.0230%20 Aug →
mirage11–13-0.0311%20 Aug →
cache14–160.0120%18 Aug →
mirage11–13-0.0219%18 Aug →
ancient13–11-0.0319%18 Aug →
inferno7–13-0.0322%17 Aug →
ancient13–9-0.0112%17 Aug →
inferno13–11-0.0220%14 Aug →
cache5–13-0.0118%13 Aug →
mirage4–13-0.0314%12 Aug →
mirage16–14-0.0422%12 Aug →
mirage8–13-0.0320%12 Aug →
dust213–16-0.0212%11 Aug →
ancient5–130.0320%11 Aug →
inferno12–12-0.0324%8 Aug →
mirage1–13-0.0214%8 Aug →
mirage7–13-0.0227%8 Aug →
cache16–14-0.0120%4 Aug →
vertigo13–00.0622%4 Aug →
nuke4–13-0.0219%4 Aug →
mirage15–150.0320%24 Jul →
nuke13–90.0314%24 Jul →
cache15–150.0122%16 Jul →
office6–13-0.0426%16 Jul →
vertigo13–10.0315%16 Jul →
dust213–20.0540%15 Jul →
dust25–13-0.0912%8 Jul →
dust216–120.0220%2 Jul →
mirage13–5-0.0125%2 Jul →
overpass7–13-0.1111%23 Jun →
anubis13–7-0.046%23 Jun →
overpass13–110.0223%22 Jun →
dust213–80.0127%22 Jun →
dust27–13-0.0121%17 Jun →
mirage13–8-0.0113%16 Jun →
inferno13–40.0936%10 Jun →

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 →

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