HayZo

HayZo — CS2 Stats

NO76561198140439837[U:1:180174109]Steam profile ↗✓ No bans

373Tracked matches37%Win rate2020Tracked since
1,100Hours in CS
CSDB Rating3.3 LearningClutch Specialist
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 373 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 64 days played since 22 Feb 2024. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 10,584 -2,625 22 Feb – 4 Jan · 37 days played
9,99913,895peak 13,89522 Feb4 Jan
13,895Peak Premier in tracked matches
64Days played since 2024-02-22

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 Level 4 among CSDB-tracked players (n=13,407), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate28.9%42.7%43.8%14.8% short
Shot accuracy17.4%11.3%12.0%above
Kill/death ratio1.070.991.02above
Match win rate45.1%43.9%44.7%meets

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHayZoFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.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

Aim35
Positioning40
Utility38

0–100 skill scores via Leetify.

Recent form

COLD48–51–1Last 10048%Win rateLWLWLWLLLL

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −0.2pp headshot accuracy · −41ms 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 -0.04
  • Avg headshot accuracy 25%
  • Avg reaction 689ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 647ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 668ms

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 (+1.3 against its own average).

Aim3.5
Utility3.8
Positioning4.0
Opening Duels2.2
Clutch5.0

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

jL

Plays most like jL 74% 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. 678ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.5
Positioning4.0
Utility3.8
Mechanics4.3
Opening Duels1.7
Win Impact0.6

Composite 3.3/10 (Learning), 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 0.00 → last ⅓ avg -0.01
Reaction time680ms+5ms
first ⅓ avg 675ms → last ⅓ avg 680ms
Headshot accuracy22.6%+5.7%
first ⅓ avg 16.9% → last ⅓ avg 22.6%

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 · 13–10 · mirage, 27 Aug →
67%Best headshot accuracy · 7–0 · ancient, 27 Sept →
391msFastest reaction time · 6–13 · inferno, 4 Oct →
13–1Biggest win · vertigo, 24 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

vertigoBest map · 63% over 8overpassWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB178–947%0.00
mirageC167–944%0.00
anubisB137–654%0.00
ancientB136–746%-0.02
nukeB105–550%-0.01
overpassC104–640%-0.02
vertigoA85–363%0.01
dust2C73–443%0.01
train—42–250%-0.00
cache—11–0100%-0.02
grail—10–10%-0.04

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,054Lifetime kills
1.07K/D · Top 50% of Level 4 players
2,524Matches
45.1%Match win rate · Top 50% of Level 4 players
28.9%Headshot %
17.4%Shot accuracy · Top 25% of Level 4 players
6,291MVPs
1,100Hours (in match)
1,823Bombs planted
708Bombs defused

Most-used weapons

Negev24,541
AK-4717,109
AWP4,640
P2501,373
Knife1,114

Lifetime map wins

3,657inferno
2,013dust2
627vertigo
528nuke
263train
165cbble
51safehouse
29stmarc

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

Faceit stats

Combat

90Matches
57%Win rate
1.44Avg K/D
87.2ADR
41%Headshot %

Clutches & streaks

45%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage540%1.0819.0
Ancient40%1.0316.8
Nuke475%3.2217.8
Inferno2100%1.0214.0
Overpass250%1.1116.5

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.

23.2%Headshot accuracy
28.4%Accuracy (enemy spotted)
31.5%Spray accuracy
69.4%Counter-strafing
13.3°Preaim
678msReaction time
30.7%T opening success
42.6%CT opening success
0.57Enemies flashed / flash
5.6%Flash assists
8.50HE damage / grenade
8.37Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.2747° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Overpass

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke5–13-0.0538%23 Jun →
nuke16–14-0.0531%20 Jun →
nuke5–13-0.0321%20 Jun →
cache13–4-0.0214%20 Jun →
inferno5–13-0.0323%20 Jun →
anubis13–70.0337%31 Jan →
mirage8–13-0.033%27 Oct →
inferno14–16-0.0418%27 Oct →
dust26–13-0.0427%26 Oct →
train14–16-0.0332%25 Oct →
ancient10–130.0529%7 Oct →
inferno7–130.0122%6 Oct →
inferno6–13-0.0727%4 Oct →
mirage13–7-0.0021%4 Oct →
mirage13–110.0640%28 Sept →
overpass7–130.0916%28 Sept →
train9–13-0.0229%16 Aug →
overpass2–13-0.0818%13 Aug →
mirage8–13-0.0023%13 Aug →
mirage5–13-0.0621%12 Aug →
inferno13–9-0.0721%12 Aug →
inferno13–50.0725%11 Aug →
nuke10–13-0.0616%11 Aug →
overpass2–130.0127%5 Aug →
overpass4–13-0.0819%5 Aug →
train13–30.0125%5 Aug →
ancient13–5-0.0314%5 Aug →
overpass13–100.0516%28 Jul →
inferno8–13-0.0017%28 Jul →
overpass13–6-0.0319%28 Jul →
inferno5–13-0.0719%13 Jul →
mirage11–130.0114%11 Jul →
ancient3–130.0126%10 Jul →
nuke13–50.0519%29 Jun →
train13–20.0311%29 Jun →
anubis13–40.0229%29 Jun →
ancient5–13-0.0623%27 May →
grail7–13-0.0421%13 May →
vertigo13–20.0420%4 Jan →
mirage13–16-0.0625%4 Jan →
anubis2–13-0.0510%4 Jan →
nuke9–130.1038%8 Dec →
mirage3–13-0.0035%8 Dec →
ancient4–13-0.0432%27 Oct →
dust213–60.0327%27 Oct →
nuke13–20.0229%27 Oct →
vertigo13–1-0.0630%24 Oct →
ancient13–6-0.0217%22 Oct →
dust213–70.0526%22 Oct →
anubis12–120.0120%18 Oct →
ancient13–70.0319%12 Oct →
vertigo13–100.0117%11 Oct →
dust29–130.0220%7 Oct →
anubis13–10-0.0323%7 Oct →
inferno14–160.0122%1 Oct →
anubis13–40.0817%27 Sept →
ancient7–0-0.0167%27 Sept →
vertigo13–110.0327%22 Sept →
inferno5–13-0.0119%21 Sept →
inferno13–80.0510%12 Sept →
overpass5–13-0.0922%12 Sept →
vertigo9–130.0422%12 Sept →
dust29–130.0328%7 Sept →
anubis13–50.0718%6 Sept →
mirage7–130.0120%6 Sept →
mirage1–13-0.0817%4 Sept →
ancient10–13-0.0817%4 Sept →
inferno13–50.0323%3 Sept →
mirage4–13-0.0422%3 Sept →
inferno13–70.0315%29 Aug →
inferno13–110.0017%28 Aug →
anubis8–13-0.0620%28 Aug →
mirage13–100.1316%27 Aug →
mirage16–130.0220%26 Aug →
anubis4–13-0.0231%26 Aug →
vertigo10–130.0927%24 Aug →
anubis11–130.0116%18 Aug →
mirage13–8-0.0018%10 Aug →
inferno13–110.0424%7 Aug →
dust24–130.0023%7 Aug →
anubis13–5-0.0016%5 Aug →
ancient13–40.0515%16 Jul →
dust213–70.0020%14 Jul →
anubis13–100.0113%5 Jul →
vertigo13–10-0.0920%3 Jul →
ancient13–8-0.0016%3 Jul →
mirage13–60.0615%3 Jul →
ancient9–13-0.0715%6 Apr →
overpass6–13-0.0913%6 Apr →
nuke13–70.0111%1 Apr →
overpass13–110.0510%25 Mar →
mirage13–70.0522%18 Mar →
ancient4–13-0.099%13 Mar →
anubis14–16-0.0710%11 Mar →
inferno13–11-0.0112%28 Feb →
inferno11–130.0711%26 Feb →
nuke8–13-0.0510%25 Feb →
vertigo8–13-0.0219%25 Feb →
nuke13–110.0018%23 Feb →
overpass16–140.0111%22 Feb →

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 →