GsKYY^

GsKYY^ — CS2 Stats

FR76561198154899422[U:1:194633694]Steam profile ↗✓ No bans

1,203Tracked matches31%Win rate2022Tracked since
2,588Hours in CS
CSDB Rating4.6 DevelopingClutch Specialist
Premier CS Rating18,406Purple band · top ~14.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (50 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: 18,406 -3,588 18 May – 16 Sept · 21 days played
18,40621,994peak 21,99418 May16 Sept
22,108Peak Premier in tracked matches
39Days played since 2026-05-18

Premier CS Rating

  • 3,588 below peak (21,994)
  • -2,106 over 90 days
  • Next: Pink band at 20,000 — 1,594 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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 rate43.0%44.4%46.9%3.9% short
Shot accuracy11.3%11.9%13.0%1.7% short
Kill/death ratio1.301.031.08above
Match win rate54.6%45.2%46.7%above

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

Widest gap: Shot accuracy. 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.GGGsKYY^PREMIER18,406 · Purple bandcsdb.gg/stats

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Performance scores

Aim67
Positioning41
Utility56

0–100 skill scores via Leetify.

Recent form

COLD33–62–5Last 10033%Win rateLLLWWLLLLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −3.4pp headshot accuracy · −11ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 605ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 597ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 602ms

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 (+3.1 against its own average).

Aim6.7
Utility5.6
Positioning4.1
Opening Duels0.3
Clutch7.4

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: utility contribution, positioning profile.

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. 602ms 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

Aim6.7
Positioning4.1
Utility5.6
Mechanics6.2
Opening Duels0.4
Win Impact0.0

Composite 4.6/10 (Developing), 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 0.01 → last ⅓ avg -0.01
Reaction time602ms−46ms
first ⅓ avg 648ms → last ⅓ avg 602ms
Headshot accuracy18.6%+0.2%
first ⅓ avg 18.4% → last ⅓ avg 18.6%

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

0.17Best match rating · 4–13 · dust2, 5 Jun →
38%Best headshot accuracy · 16–13 · inferno, 8 Sept →
484msFastest reaction time · 3–13 · dust2, 9 Sept →
13–3Biggest win · dust2, 10 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
2–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 50% over 14dust2Weakest map · 21% over 29
MapGradePlayedRecordWin rateAvg rating
dust2D296–2321%-0.01
infernoC2610–1638%-0.00
anubisB147–750%0.02
mirageC104–640%0.00
cacheD103–730%-0.01
nukeB63–350%0.01
overpass—20–20%0.01
boulder—10–10%-0.04
fachwerk—10–10%-0.06
vertigo—10–10%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (21% over 29). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

131,457Lifetime kills
1.30K/D · Top 10% of Purple band
6,994Matches
54.6%Match win rate · Top 5% of Purple band
43.0%Headshot %
11.3%Shot accuracy
13,492MVPs
2,588Hours (in match)
6,833Bombs planted
1,293Bombs defused

Most-used weapons

AK-4750,321
AWP13,896
P907,726
P2505,049
Tec-94,482
MP74,305

Lifetime map wins

31,831dust2
6,854inferno
2,674nuke
724cbble
685train
198vertigo
100italy
71lake

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

Faceit stats

Combat

53Matches
47%Win rate
1.27Avg K/D
79.4ADR
46%Headshot %

Clutches & streaks

57%1v1 clutch win
37%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2944%1.1215.7
Inferno967%1.5115.2
Mirage838%1.2716.9
Anubis743%1.4616.7
Nuke540%1.3115.4
Cache250%1.0321.0
Ancient10%0.738.0

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.

19.3%Headshot accuracy
30.2%Accuracy (enemy spotted)
36.2%Spray accuracy
77.7%Counter-strafing
7.8°Preaim
602msReaction time
28.6%T opening success
33.0%CT opening success
0.43Enemies flashed / flash
4.0%Flash assists
9.51HE damage / grenade
15.45Flashes / 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 0.4341 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 28.6492% — below the 40% mark we flag

Spend your practice time on Dust 2

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

21% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno5–130.0317%18 Sept →
inferno9–13-0.0531%16 Sept →
dust20–13-0.0915%16 Sept →
nuke13–60.0118%16 Sept →
inferno13–100.0118%11 Sept →
dust211–130.0420%11 Sept →
inferno3–13-0.0317%9 Sept →
dust23–13-0.0822%9 Sept →
inferno5–130.0218%9 Sept →
dust25–13-0.0123%9 Sept →
inferno16–130.0038%8 Sept →
dust28–13-0.0519%8 Sept →
nuke13–16-0.0217%6 Sept →
anubis13–80.0324%6 Sept →
dust27–13-0.0320%6 Sept →
inferno6–130.0318%6 Sept →
mirage7–130.0829%29 Aug →
inferno9–13-0.0823%29 Aug →
dust21–13-0.0714%29 Aug →
inferno13–60.0132%28 Aug →
nuke13–4-0.0021%28 Aug →
anubis10–13-0.0116%28 Aug →
dust27–13-0.019%28 Aug →
inferno13–80.0215%28 Aug →
anubis13–90.0110%16 Aug →
dust212–120.027%16 Aug →
nuke11–130.1116%16 Aug →
mirage13–6-0.0016%16 Aug →
anubis11–130.0219%11 Aug →
mirage9–13-0.0310%11 Aug →
anubis11–130.0419%6 Aug →
inferno13–80.0213%29 Jul →
inferno3–13-0.098%28 Jul →
mirage7–13-0.0823%28 Jul →
dust213–100.0513%28 Jul →
anubis5–13-0.0216%27 Jul →
boulder12–12-0.0417%27 Jul →
fachwerk8–13-0.0636%27 Jul →
cache13–40.0121%27 Jul →
cache0–5-0.030%27 Jul →
cache2–13-0.0418%25 Jul →
inferno8–13-0.0717%25 Jul →
anubis13–7-0.0110%25 Jul →
inferno13–9-0.0326%25 Jul →
inferno13–10-0.0217%25 Jul →
dust213–5-0.0324%25 Jul →
anubis9–13-0.0118%23 Jul →
vertigo10–130.0114%18 Jul →
cache6–13-0.0518%18 Jul →
nuke8–13-0.0618%18 Jul →
mirage13–110.0213%12 Jul →
inferno16–130.0119%12 Jul →
anubis13–70.1114%12 Jul →
dust213–30.0222%10 Jul →
cache5–13-0.064%10 Jul →
dust24–130.0512%10 Jul →
dust29–130.0516%8 Jul →
cache13–80.0921%8 Jul →
overpass12–12-0.0513%8 Jul →
cache13–50.1013%7 Jul →
cache12–50.0012%7 Jul →
cache7–13-0.0810%1 Jul →
inferno11–13-0.0217%30 Jun →
anubis12–160.0717%28 Jun →
inferno6–130.0320%28 Jun →
mirage12–120.0513%25 Jun →
dust211–13-0.049%25 Jun →
dust210–130.0018%17 Jun →
nuke13–100.0022%17 Jun →
anubis16–140.0412%16 Jun →
inferno3–6-0.0433%16 Jun →
inferno13–30.0824%16 Jun →
dust26–13-0.0219%15 Jun →
dust213–100.0331%15 Jun →
dust23–13-0.1114%13 Jun →
inferno12–160.0215%11 Jun →
anubis13–7-0.056%11 Jun →
dust213–90.0223%7 Jun →
dust24–130.1725%5 Jun →
dust213–60.0533%5 Jun →
dust212–12-0.0014%5 Jun →
cache4–13-0.0118%5 Jun →
anubis11–13-0.007%30 May →
inferno16–130.0320%30 May →
inferno5–13-0.0418%30 May →
overpass10–130.0618%30 May →
dust25–13-0.0024%29 May →
inferno10–13-0.0512%29 May →
mirage13–60.1221%29 May →
anubis13–50.0714%28 May →
mirage8–4-0.0232%28 May →
dust23–13-0.0413%28 May →
mirage9–13-0.0114%24 May →
dust211–130.0415%22 May →
dust22–13-0.0811%22 May →
inferno6–130.0513%22 May →
mirage4–13-0.0919%20 May →
inferno6–130.0621%20 May →
dust27–130.0016%18 May →
dust29–13-0.0012%18 May →

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.