CocopyS

CocopyS — CS2 Stats

JP76561198344050263[U:1:383784535]Steam profile ↗✓ No bans

1,709Tracked matches50%Win rate2023Tracked since
3,708Hours in CS1Hrs last 2 wks
CSDB Rating5.6 SolidSupport
Premier CS Rating16,692Purple band · top ~21.7% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,709 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,692 +958 28 Apr – 20 Sept · 6 days played
15,73417,011peak 17,01128 Apr20 Sept
17,011Peak Premier in tracked matches
37Days played since 2026-03-29

Premier CS Rating

  • 319 below peak (17,011)
  • -319 over 90 days
  • Next: Pink band at 20,000 — 3,308 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-20
  • Blue band first seen 2026-09-20

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 rate61.8%44.4%46.9%above
Shot accuracy6.4%11.9%13.0%6.6% short
Kill/death ratio1.091.031.08meets
Match win rate46.3%45.2%46.7%meets

This profile matches the typical Pink band player on 3 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.GGCocopySPREMIER16,692 · Purple 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

Aim64
Positioning52
Utility68

0–100 skill scores via Leetify.

Recent form

COLD47–39–14Last 10047%Win rateWTWTWTLTTT

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −0.8pp headshot accuracy · +24ms 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

  • 3–0–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 644ms

Last 10

  • 3–1–6 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 614ms

Last 20

  • 7–6–7 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • 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: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim6.4
Utility6.8
Positioning5.2
Opening Duels3.6
Clutch4.6

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 84% 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

Reaction time. 610ms 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

Aim6.4
Positioning5.2
Utility6.8
Mechanics5.8
Opening Duels2.8
Win Impact5.0

Composite 5.6/10 (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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time619ms−37ms
first ⅓ avg 656ms → last ⅓ avg 619ms
Headshot accuracy18.8%−5.9%
first ⅓ avg 24.7% → last ⅓ avg 18.8%

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

0.15Best match rating · 13–1 · inferno, 18 Apr →
52%Best headshot accuracy · 3–13 · mirage, 27 Jun →
438msFastest reaction time · 3–13 · inferno, 22 Aug →
13–0Biggest win · vertigo, 16 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–7In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 67% over 6dust2Weakest map · 21% over 19
MapGradePlayedRecordWin rateAvg rating
infernoA3318–1555%0.02
mirageC219–1243%0.01
dust2D194–1521%-0.00
cacheB84–450%0.02
ancientD62–433%0.01
nukeS64–267%0.01
anubis—21–150%0.03
vertigo—11–0100%-0.01
shelter—11–0100%0.08
overpass—11–0100%0.06
office—11–0100%0.02
train—11–0100%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (21% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

103,163Lifetime kills
1.09K/D · Top 50% of Purple band
2,554Matches
46.3%Match win rate · Top 50% of Purple band
61.8%Headshot % · Top 5% of Purple band
6.4%Shot accuracy
4,973MVPs
2,835Hours (in match)
2,461Bombs planted
661Bombs defused

Most-used weapons

Lifetime map wins

5,817inferno
4,659dust2
1,094nuke
565vertigo
315train
97office
27cbble
11italy

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

Faceit stats

Combat

317Matches
49%Win rate
1.11Avg K/D
80.4ADR
41%Headshot %

Clutches & streaks

43%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno7457%1.2215.1
Mirage6253%1.0315.0
Ancient4045%1.0113.7
Dust23453%1.4516.8
Overpass3057%1.1316.7
Nuke2843%1.0816.2
Anubis2119%0.9414.4
Vertigo30%0.6311.3

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.

20.0%Headshot accuracy
33.6%Accuracy (enemy spotted)
38.7%Spray accuracy
76.3%Counter-strafing
10.9°Preaim
610msReaction time
36.9%T opening success
45.3%CT opening success
0.67Enemies flashed / flash
11.9%Flash assists
7.13HE damage / grenade
16.13Flashes / 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

    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 36.9317% — 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 19 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
cache13–60.0118%5 Sept →
dust212–12-0.0221%5 Sept →
mirage13–50.0720%5 Sept →
inferno12–120.0013%5 Sept →
mirage4–5-0.080%5 Sept →
dust212–120.0715%5 Sept →
ancient4–13-0.0318%29 Aug →
inferno12–12-0.0720%29 Aug →
dust212–12-0.0339%29 Aug →
mirage12–120.0115%29 Aug →
cache12–12-0.0027%22 Aug →
mirage3–13-0.0224%22 Aug →
dust210–130.0426%22 Aug →
ancient11–13-0.0420%22 Aug →
inferno3–13-0.0622%22 Aug →
vertigo13–0-0.010%16 Aug →
inferno13–30.0124%16 Aug →
inferno13–90.0112%16 Aug →
inferno8–130.0616%1 Aug →
mirage13–50.0718%1 Aug →
dust23–13-0.0913%1 Aug →
shelter10–40.0816%9 Jul →
dust29–130.0317%8 Jul →
cache13–80.0018%8 Jul →
mirage12–120.0628%5 Jul →
nuke3–0-0.050%5 Jul →
nuke16–120.0415%30 Jun →
inferno10–130.0315%28 Jun →
nuke10–130.0628%28 Jun →
mirage3–13-0.0552%27 Jun →
inferno5–13-0.0616%27 Jun →
nuke14–16-0.0020%27 Jun →
dust26–13-0.0119%27 Jun →
ancient9–130.0328%27 Jun →
ancient13–20.096%26 Jun →
anubis13–40.068%26 Jun →
inferno13–11-0.0216%26 Jun →
dust213–40.0710%26 Jun →
mirage13–11-0.0011%26 Jun →
cache10–130.0318%26 Jun →
inferno13–110.0413%24 Jun →
dust213–8-0.0112%24 Jun →
overpass13–80.0632%24 Jun →
dust211–13-0.0130%21 Jun →
mirage3–13-0.0218%21 Jun →
dust29–13-0.0811%21 Jun →
dust213–70.0222%7 Jun →
anubis9–13-0.0011%7 Jun →
mirage11–13-0.0523%21 May →
mirage13–100.0721%10 May →
mirage13–90.0617%3 May →
cache13–80.0717%3 May →
mirage6–13-0.0319%2 May →
inferno8–130.0011%1 May →
mirage13–70.0616%30 Apr →
cache8–130.0220%30 Apr →
mirage11–130.0219%29 Apr →
cache13–10-0.0010%29 Apr →
cache9–130.0415%29 Apr →
inferno13–80.019%28 Apr →
dust29–13-0.027%19 Apr →
dust211–13-0.0322%18 Apr →
inferno5–13-0.1021%18 Apr →
inferno13–10.1526%18 Apr →
inferno13–60.1038%18 Apr →
inferno13–80.0932%18 Apr →
inferno13–100.0117%18 Apr →
office13–90.0223%17 Apr →
dust213–100.0132%17 Apr →
train13–10-0.0323%17 Apr →
ancient4–130.0724%15 Apr →
inferno2–13-0.0624%15 Apr →
nuke13–9-0.0125%15 Apr →
mirage12–120.0128%15 Apr →
ancient13–10-0.0238%14 Apr →
dust210–130.0840%14 Apr →
dust22–13-0.0624%14 Apr →
nuke13–5-0.0027%14 Apr →
mirage4–13-0.0217%12 Apr →
inferno2–13-0.0612%12 Apr →
inferno13–40.0837%12 Apr →
inferno13–70.0210%11 Apr →
inferno13–6-0.0014%11 Apr →
mirage13–110.0722%9 Apr →
mirage13–70.0419%9 Apr →
mirage6–5-0.0136%6 Apr →
mirage12–120.0733%6 Apr →
inferno13–50.0217%4 Apr →
inferno13–60.0115%3 Apr →
inferno6–130.0027%3 Apr →
inferno9–130.0023%3 Apr →
inferno12–120.0517%3 Apr →
inferno13–10-0.0232%1 Apr →
inferno12–12-0.0420%1 Apr →
inferno13–00.1240%30 Mar →
inferno12–12-0.0113%30 Mar →
dust212–120.0414%30 Mar →
dust26–13-0.0432%30 Mar →
inferno13–60.1332%30 Mar →
inferno13–40.0828%29 Mar →

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.