z0rbbi

z0rbbi — CS2 Stats

76561198812638677[U:1:852372949]Steam profile ↗✓ No bans

1,896Tracked matches43%Win rate2020Tracked since
6,022Hours in CS5Hrs last 2 wks
CSDB Rating5.4 DevelopingSupport
Premier CS Rating15,565Purple band · top ~26.2% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (4 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: 15,565 +1,413 19 May – 31 Oct · 35 days played
14,08618,196peak 18,19619 May31 Oct
18,728Peak Premier in tracked matches
46Days played since 2026-05-19

Premier CS Rating

  • 2,631 below peak (18,196)
  • -1,071 over 30 days · declining
  • -675 over 90 days
  • Next: Pink band at 20,000 — 4,435 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 rate40.2%44.4%46.9%6.8% short
Shot accuracy15.3%11.9%13.0%above
Kill/death ratio1.121.031.08above
Match win rate42.6%45.2%46.7%4.1% short

This profile matches the typical Pink band player on 2 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.GGz0rbbiPREMIER15,565 · 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

Aim61
Positioning56
Utility62

0–100 skill scores via Leetify.

Recent form

COLD52–48Last 10052%Win rateLLLLWLWLLW

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +1.5pp headshot accuracy · −86ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 627ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 566ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 609ms

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 (+1.6 against its own average).

Aim6.1
Utility6.2
Positioning5.6
Opening Duels2.9
Clutch3.6

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

Twistzz

Plays most like Twistzz 80% 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. 586ms 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

Aim6.1
Positioning5.6
Utility6.2
Mechanics5.7
Opening Duels3.7
Win Impact2.8

Composite 5.4/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time575ms−16ms
first ⅓ avg 591ms → last ⅓ avg 575ms
Headshot accuracy14.6%+2.0%
first ⅓ avg 12.6% → last ⅓ avg 14.6%

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

0.13Best match rating · 9–6 · inferno, 24 Jul →
32%Best headshot accuracy · 6–13 · inferno, 20 Aug →
422msFastest reaction time · 13–6 · anubis, 27 Aug →
13–2Biggest win · mirage, 14 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
4–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 83% over 6dust2Weakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB2614–1254%0.02
ancientB2311–1248%0.00
anubisB168–850%0.01
cacheA138–562%0.02
dust2D112–918%-0.02
nukeS65–183%-0.02
mirage—43–175%-0.01
overpass—11–0100%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

124,816Lifetime kills
1.12K/D · Top 50% of Purple band
5,452Matches
42.6%Match win rate
40.2%Headshot %
15.3%Shot accuracy · Top 25% of Purple band
12,927MVPs
2,287Hours (in match)
4,650Bombs planted
1,146Bombs defused

Most-used weapons

AK-4737,068
AWP25,063
MAC-105,272
MP93,191
P903,142

Lifetime map wins

17,405inferno
2,917dust2
2,634train
2,614nuke
1,468vertigo
561cbble
15office
11lake

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

Faceit stats

Combat

560Matches
56%Win rate
1.28Avg K/D
93.9ADR
35%Headshot %

Clutches & streaks

38%1v1 clutch win
41%1v2 clutch win
16Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient5385%1.4117.9
Inferno4772%1.4018.9
Anubis2167%1.2716.8
Overpass2070%1.3317.8
Mirage1362%1.0916.9
Dust21354%1.1818.0
Train683%1.8322.7
Cache633%1.3022.2

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.

13.6%Headshot accuracy
33.7%Accuracy (enemy spotted)
37.9%Spray accuracy
75.7%Counter-strafing
9.6°Preaim
586msReaction time
42.2%T opening success
47.4%CT opening success
0.58Enemies flashed / flash
4.9%Flash assists
11.09HE damage / grenade
12.35Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.5536% — below the 15% mark we flag

    Aim Training →
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.

18% win rate across 11 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
anubis12–16-0.039%31 Oct →
cache7–13-0.0132%18 Oct →
inferno8–13-0.0812%18 Oct →
dust213–160.0513%17 Oct →
anubis9–5-0.028%17 Oct →
ancient9–13-0.062%17 Oct →
inferno13–50.1117%16 Oct →
anubis8–13-0.027%16 Oct →
inferno10–130.1123%3 Oct →
cache13–70.048%3 Oct →
mirage13–3-0.0414%2 Oct →
cache11–130.0117%2 Oct →
nuke13–110.018%2 Oct →
dust21–13-0.068%27 Sept →
anubis9–13-0.0212%27 Sept →
cache8–13-0.067%26 Sept →
dust25–13-0.0315%26 Sept →
dust213–10-0.058%25 Sept →
nuke13–9-0.005%25 Sept →
inferno4–130.0122%23 Sept →
dust212–16-0.0212%18 Sept →
ancient13–10-0.0315%13 Sept →
inferno13–30.0715%13 Sept →
ancient13–16-0.0113%12 Sept →
cache13–7-0.0515%5 Sept →
anubis13–3-0.0129%5 Sept →
ancient13–40.0826%4 Sept →
ancient8–13-0.0212%4 Sept →
ancient13–80.0515%4 Sept →
ancient13–160.0317%1 Sept →
anubis13–60.0613%27 Aug →
cache13–70.0324%27 Aug →
inferno13–50.0331%26 Aug →
anubis13–70.1111%26 Aug →
dust23–13-0.0718%23 Aug →
inferno13–60.0310%22 Aug →
ancient8–130.057%22 Aug →
anubis1–13-0.0727%22 Aug →
dust23–13-0.0414%22 Aug →
ancient4–13-0.0413%22 Aug →
inferno5–13-0.0623%21 Aug →
dust26–130.0010%21 Aug →
anubis5–13-0.0717%21 Aug →
ancient13–70.0217%21 Aug →
inferno13–7-0.0111%21 Aug →
inferno6–13-0.0432%20 Aug →
cache13–60.0910%20 Aug →
inferno16–130.0113%19 Aug →
ancient13–60.0320%19 Aug →
dust211–130.0115%17 Aug →
cache13–40.078%16 Aug →
inferno13–110.0913%15 Aug →
anubis11–130.0520%15 Aug →
cache3–13-0.013%15 Aug →
inferno8–13-0.0314%14 Aug →
mirage13–20.0513%14 Aug →
ancient13–3-0.0229%13 Aug →
dust213–40.0611%13 Aug →
anubis13–110.1211%8 Aug →
ancient2–13-0.0812%8 Aug →
inferno12–160.0119%8 Aug →
cache13–8-0.0011%8 Aug →
anubis13–100.007%7 Aug →
ancient13–11-0.028%7 Aug →
mirage9–13-0.0310%7 Aug →
nuke13–90.067%6 Aug →
inferno13–8-0.0112%6 Aug →
ancient13–60.018%5 Aug →
ancient11–13-0.032%5 Aug →
ancient8–130.0111%4 Aug →
cache13–30.0415%4 Aug →
inferno9–13-0.0214%3 Aug →
inferno13–100.0816%3 Aug →
inferno13–90.037%30 Jul →
inferno9–130.0519%30 Jul →
anubis13–100.0513%28 Jul →
inferno11–13-0.0210%28 Jul →
nuke13–70.0812%27 Jul →
ancient13–50.0213%27 Jul →
mirage13–6-0.0015%26 Jul →
cache13–100.0211%26 Jul →
inferno13–100.0611%25 Jul →
dust23–13-0.080%25 Jul →
inferno13–70.0313%25 Jul →
nuke1–9-0.1719%24 Jul →
inferno9–60.1327%24 Jul →
inferno5–90.0121%24 Jul →
ancient16–130.0510%24 Jul →
inferno2–13-0.0514%11 Jul →
anubis13–6-0.036%11 Jul →
cache8–130.0317%11 Jul →
ancient13–60.036%11 Jul →
ancient7–13-0.0212%6 Jul →
anubis10–13-0.0216%6 Jul →
overpass13–100.0210%7 Jun →
ancient11–130.0011%7 Jun →
nuke16–13-0.088%23 May →
ancient11–130.0018%22 May →
inferno16–120.0518%22 May →
anubis14–160.0015%19 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 →

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