czipeks

czipeks — CS2 Stats

76561198166850845[U:1:206585117]Steam profile ↗✓ No bans

348Tracked matches57%Win rate2023Tracked since
1,553Hours in CS11Hrs last 2 wks
CSDB Rating5.8 SolidSupport
Premier CS Rating19,999Top 50% of 213,211 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#85502 of 259861 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (5 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: 19,999 +3,580 4 Oct – 30 Oct · 9 days played
16,41919,999peak 19,9994 Oct30 Oct
19,999Peak Premier in tracked matches
68Days played since 2026-03-04

Premier CS Rating

  • At peak — 19,999
  • +3,580 over 30 days · improving
  • Next: Pink band at 20,000 — 1 to go
  • Reached: 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 rate47.6%44.4%46.9%meets
Shot accuracy12.8%11.9%13.0%meets
Kill/death ratio1.091.031.08meets
Match win rate45.7%45.2%46.7%1.0% short

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Match win 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.GGczipeksPREMIER19,999 · 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

Aim72
Positioning45
Utility57

0–100 skill scores via Leetify.

Recent form

HOT46–49–5Last 10046%Win rateWWWLWWWWLL

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −5.6pp headshot accuracy · −108ms reaction

Win rate up 30pp 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 (−0.01), 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 17%
  • Avg reaction 528ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 532ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 586ms

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 (+1.5 against its own average).

Aim7.2
Utility5.7
Positioning4.5
Opening Duels2.0
Clutch4.4

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 91% 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. 581ms 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

Aim7.2
Positioning4.5
Utility5.7
Mechanics5.9
Opening Duels2.9
Win Impact7.4

Composite 5.8/10 (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+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time582ms−54ms
first ⅓ avg 636ms → last ⅓ avg 582ms
Headshot accuracy18.6%−0.2%
first ⅓ avg 18.8% → 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

0.18Best match rating · 13–9 · dust2, 3 Aug →
56%Best headshot accuracy · 5–13 · cache, 2 Jul →
422msFastest reaction time · 1–7 · anubis, 21 Oct →
13–0Biggest win · mirage, 19 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
5–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 67% over 21nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageD225–1723%0.00
cacheS2114–767%0.01
ancientA106–460%0.01
anubisC83–538%-0.01
vertigoA85–363%-0.00
nukeD61–517%-0.03
overpassC52–340%-0.03
dust2C52–340%0.03
inferno—42–250%0.01
boulder—42–250%-0.02
train—30–30%-0.04
fachwerk—33–0100%0.02
shelter—11–0100%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,428Lifetime kills
1.09K/D · Top 50% of Purple band
1,875Matches
45.7%Match win rate · Top 50% of Purple band
47.6%Headshot % · Top 50% of Purple band
12.8%Shot accuracy · Top 50% of Purple band
4,681MVPs
780Hours (in match)
1,600Bombs planted
481Bombs defused

Most-used weapons

Lifetime map wins

2,453inferno
1,800dust2
1,144nuke
634vertigo
483cbble
307train
100italy
100office

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

Faceit stats

Combat

93Matches
58%Win rate
1.41Avg K/D
93.0ADR
48%Headshot %

Clutches & streaks

42%1v1 clutch win
31%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient2752%1.3216.3
Cache1450%1.4919.1
Mirage1479%1.2518.4
Anubis1369%1.4919.7
Inferno1060%1.6818.2
Dust2743%1.1616.9
Overpass560%1.9620.4
Nuke333%1.1319.7

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.

18.7%Headshot accuracy
34.0%Accuracy (enemy spotted)
41.1%Spray accuracy
76.4%Counter-strafing
9.4°Preaim
581msReaction time
43.8%T opening success
39.7%CT opening success
0.54Enemies flashed / flash
6.0%Flash assists
10.55HE damage / grenade
11.06Flashes / 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

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

    CT opening duels 39.6724% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–90.0420%30 Oct →
cache13–2-0.0118%28 Oct →
overpass13–8-0.0819%28 Oct →
inferno8–130.0010%28 Oct →
dust213–11-0.0418%28 Oct →
cache13–90.0519%22 Oct →
ancient13–110.0113%22 Oct →
cache13–6-0.0518%21 Oct →
anubis1–7-0.0813%21 Oct →
mirage7–130.0414%19 Oct →
mirage9–13-0.0417%18 Oct →
anubis13–50.0817%16 Oct →
dust25–13-0.0126%12 Oct →
dust28–130.0624%12 Oct →
ancient13–90.0217%11 Oct →
train12–12-0.0821%7 Oct →
cache13–7-0.0532%7 Oct →
train6–13-0.0224%7 Oct →
mirage8–13-0.0114%4 Oct →
anubis13–60.0227%4 Oct →
train5–13-0.0315%26 Sept →
mirage11–13-0.0114%16 Sept →
nuke9–13-0.0422%13 Sept →
mirage13–9-0.0416%13 Sept →
fachwerk13–50.0616%12 Sept →
fachwerk13–40.0119%12 Sept →
anubis10–130.0111%11 Sept →
ancient12–12-0.0125%8 Sept →
cache13–60.0623%7 Sept →
vertigo13–30.0521%6 Sept →
mirage8–13-0.059%6 Sept →
nuke12–160.0119%5 Sept →
cache13–70.1224%3 Sept →
cache13–50.1410%31 Aug →
inferno4–13-0.0816%21 Aug →
mirage13–11-0.0016%21 Aug →
mirage13–70.0116%20 Aug →
vertigo8–13-0.0425%19 Aug →
mirage13–0-0.0312%19 Aug →
boulder13–6-0.0418%19 Aug →
ancient13–10-0.0615%19 Aug →
vertigo13–10-0.0523%19 Aug →
anubis2–13-0.0718%18 Aug →
mirage9–130.0820%12 Aug →
inferno13–50.0619%9 Aug →
ancient13–80.0513%7 Aug →
mirage12–120.0513%4 Aug →
dust213–90.1820%3 Aug →
vertigo13–3-0.056%29 Jul →
ancient13–9-0.0517%29 Jul →
vertigo0–6-0.0413%29 Jul →
vertigo13–20.1517%29 Jul →
boulder5–13-0.0711%22 Jul →
anubis13–70.0117%22 Jul →
fachwerk13–3-0.0229%16 Jul →
shelter13–5-0.0214%16 Jul →
boulder13–4-0.0017%16 Jul →
boulder2–80.0315%13 Jul →
overpass3–13-0.0520%10 Jul →
nuke13–10-0.0419%8 Jul →
cache13–3-0.075%3 Jul →
cache5–130.0656%2 Jul →
cache2–130.0819%1 Jul →
nuke4–13-0.0114%30 Jun →
mirage7–13-0.0918%25 Jun →
vertigo13–9-0.0324%10 Jun →
ancient6–130.1026%9 Jun →
cache13–80.039%4 Jun →
mirage7–13-0.0117%25 May →
cache12–12-0.0324%15 May →
cache3–13-0.0336%15 May →
cache13–9-0.0126%14 May →
mirage7–130.0114%11 May →
cache11–13-0.0216%10 May →
cache12–12-0.0030%9 May →
cache0–13-0.1023%9 May →
cache13–110.0624%9 May →
cache13–8-0.0526%1 May →
cache13–30.0523%1 May →
overpass13–110.0922%1 May →
cache13–8-0.0317%30 Apr →
mirage3–13-0.0516%23 Apr →
mirage13–70.0817%16 Apr →
mirage5–13-0.0223%12 Apr →
ancient2–13-0.049%4 Apr →
mirage11–130.0714%1 Apr →
anubis10–13-0.0213%31 Mar →
anubis4–13-0.0524%31 Mar →
nuke3–13-0.0316%30 Mar →
vertigo9–13-0.0017%30 Mar →
ancient4–13-0.0217%25 Mar →
mirage6–130.0216%25 Mar →
mirage5–13-0.059%23 Mar →
ancient13–100.0919%23 Mar →
dust22–13-0.0017%22 Mar →
mirage3–130.0120%20 Mar →
overpass9–13-0.0516%17 Mar →
mirage11–130.0715%12 Mar →
overpass4–13-0.0320%11 Mar →
nuke7–13-0.0417%4 Mar →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.