.hz

.hz — CS2 Stats

76561197966948546[U:1:6682818]Steam profile ↗✓ No bans

646Tracked matches48%Win rate2023Tracked since
1,055Hours in CS7Hrs last 2 wks
CSDB Rating5.7 SolidSupport
Premier CS Rating19,033Top 50% of 205,416 CSDB-tracked playersPurple band · top ~12.3% of ranked players (population est.)
CSDB Leaderboard#95730 of 252695 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 2026 (19 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: 19,033 +428 25 Aug – 28 Sept · 6 days played
18,48719,033peak 19,03325 Aug28 Sept
19,033Peak Premier in tracked matches
42Days played since 2026-07-28

Premier CS Rating

  • At peak — 19,033
  • +428 over 30 days · improving
  • Next: Pink band at 20,000 — 967 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

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 rate49.1%44.3%46.9%above
Shot accuracy10.4%11.9%13.0%2.5% short
Kill/death ratio1.311.031.08above
Match win rate38.7%45.2%46.7%8.0% short

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.GG.hzPREMIER19,033 · 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

Aim69
Positioning53
Utility60

0–100 skill scores via Leetify.

Recent form

COLD42–47–11Last 10042%Win rateLLLLWLLWLW

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −5.4pp headshot accuracy · +34ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 513ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 566ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 549ms

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 (+2.1 against its own average).

Aim6.9
Utility6.0
Positioning5.3
Opening Duels3.4
Clutch1.0

Effective flashes

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 88% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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

Strengths

Flashes. 0.86 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 551ms 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

Aim6.9
Positioning5.3
Utility6.0
Mechanics5.2
Opening Duels4.2
Win Impact4.4

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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time542ms−28ms
first ⅓ avg 570ms → last ⅓ avg 542ms
Headshot accuracy18.7%+0.5%
first ⅓ avg 18.2% → last ⅓ avg 18.7%

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 · 13–3 · ancient, 30 Jul →
50%Best headshot accuracy · 13–1 · dust2, 19 Aug →
359msFastest reaction time · 13–2 · dust2, 28 Aug →
13–1Biggest win · dust2, 19 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
8–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 50% over 6mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B5727–3047%-0.00
ancientC145–936%0.02
mirageD61–517%-0.01
infernoB63–350%-0.00
nukeC52–340%0.04
cache—41–325%-0.02
office—20–20%0.01
rush_001—10–10%0.03
overpass—10–10%0.02
anubis—11–0100%0.07
shelter—11–0100%0.04
train—11–0100%0.05
debris—10–10%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,477Lifetime kills
1.31K/D · Top 10% of Purple band
2,302Matches
38.7%Match win rate
49.1%Headshot % · Top 50% of Purple band
10.4%Shot accuracy
4,908MVPs
3,905Hours (in match)
508Bombs planted
358Bombs defused

Most-used weapons

Lifetime map wins

3,904dust2
1,743inferno
1,352nuke
653train
385office
321vertigo
263dust
134cbble

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

Faceit stats

Combat

28Matches
71%Win rate
1.21Avg K/D
96.5ADR
47%Headshot %

Clutches & streaks

25%1v1 clutch win
40%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient683%1.4220.0
Inferno650%0.6611.3
Mirage560%1.0616.6
Dust2475%1.1415.8
Nuke4100%2.1219.5
Anubis250%0.609.5
Overpass1100%1.8917.0

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.

19.1%Headshot accuracy
32.1%Accuracy (enemy spotted)
33.8%Spray accuracy
73.3%Counter-strafing
7.8°Preaim
551msReaction time
48.7%T opening success
45.1%CT opening success
0.86Enemies flashed / flash
8.6%Flash assists
10.11HE damage / grenade
11.71Flashes / 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.

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–130.0012%7 Oct →
mirage7–13-0.0217%7 Oct →
rush_0016–80.030%30 Sept →
dust21–13-0.0525%29 Sept →
cache16–14-0.0314%28 Sept →
dust24–130.0012%23 Sept →
overpass7–130.0221%21 Sept →
anubis13–40.0714%21 Sept →
mirage4–13-0.0510%18 Sept →
dust213–2-0.0416%14 Sept →
ancient16–14-0.009%13 Sept →
dust213–90.0134%11 Sept →
dust213–70.0834%10 Sept →
dust25–130.0112%9 Sept →
dust24–13-0.0822%8 Sept →
dust212–12-0.0117%4 Sept →
dust212–12-0.0621%1 Sept →
dust213–50.0014%31 Aug →
dust213–110.0414%31 Aug →
dust26–13-0.0416%30 Aug →
dust29–13-0.0123%30 Aug →
cache7–13-0.0021%30 Aug →
dust213–80.0226%30 Aug →
dust213–10-0.0125%30 Aug →
dust213–20.0521%28 Aug →
dust25–13-0.0235%28 Aug →
dust29–13-0.079%26 Aug →
office12–12-0.0632%26 Aug →
dust213–80.0916%25 Aug →
dust211–130.0125%25 Aug →
dust213–10-0.0213%22 Aug →
dust210–130.0025%21 Aug →
dust26–13-0.0516%20 Aug →
dust213–1-0.0150%19 Aug →
dust212–120.0633%19 Aug →
dust213–50.0129%18 Aug →
mirage5–13-0.0511%15 Aug →
shelter13–60.0425%15 Aug →
dust213–80.0216%15 Aug →
dust22–130.0025%14 Aug →
dust213–40.0323%14 Aug →
train13–40.0522%14 Aug →
nuke13–50.0726%14 Aug →
office12–120.0823%14 Aug →
ancient1–13-0.0522%13 Aug →
ancient2–40.0529%13 Aug →
ancient8–130.0610%13 Aug →
dust212–120.0023%12 Aug →
inferno10–13-0.0225%12 Aug →
dust211–13-0.0323%12 Aug →
dust213–40.0422%12 Aug →
dust23–13-0.0014%11 Aug →
dust213–90.0022%10 Aug →
dust213–40.0527%10 Aug →
dust212–12-0.0319%10 Aug →
cache10–13-0.0415%9 Aug →
dust212–12-0.0620%9 Aug →
ancient7–13-0.046%9 Aug →
ancient7–130.0823%9 Aug →
nuke7–10.1014%9 Aug →
inferno8–130.0319%9 Aug →
dust213–8-0.0132%8 Aug →
ancient7–13-0.0220%8 Aug →
inferno13–5-0.0112%8 Aug →
ancient13–110.0316%8 Aug →
dust211–13-0.0327%8 Aug →
dust210–13-0.0427%7 Aug →
ancient12–12-0.0120%7 Aug →
debris7–9-0.039%7 Aug →
dust213–100.0522%6 Aug →
nuke10–130.0515%6 Aug →
ancient13–80.0111%6 Aug →
inferno8–8-0.0615%6 Aug →
dust210–130.1016%6 Aug →
ancient3–13-0.0126%6 Aug →
cache9–13-0.0313%5 Aug →
nuke7–130.0123%5 Aug →
inferno13–30.0815%3 Aug →
mirage12–120.0413%3 Aug →
ancient0–13-0.0114%3 Aug →
dust213–110.0419%1 Aug →
dust28–130.0125%1 Aug →
dust25–13-0.0340%1 Aug →
nuke5–13-0.0315%1 Aug →
dust213–90.0313%1 Aug →
inferno13–9-0.0317%31 Jul →
ancient13–80.0811%31 Jul →
dust213–110.0720%31 Jul →
dust27–13-0.0311%30 Jul →
mirage4–12-0.0223%30 Jul →
mirage13–110.0517%30 Jul →
ancient13–30.1522%30 Jul →
dust213–40.0430%30 Jul →
dust213–6-0.0129%30 Jul →
dust24–13-0.0621%29 Jul →
dust213–11-0.0214%29 Jul →
dust29–13-0.0725%29 Jul →
dust213–30.0415%29 Jul →
dust24–13-0.105%28 Jul →
dust213–80.0218%28 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 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.