Hyzaq

Hyzaq — CS2 Stats

76561198021996013[U:1:61730285]Steam profile ↗✓ No bans

784Tracked matches48%Win rate2020Tracked since
3,969Hours in CS
CSDB Rating6.3 SolidSupport
Premier CS Rating24,527Top 25% of 210,832 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)
CSDB Leaderboard#27491 of 257975 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 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: 24,527 -104 11 Sept – 23 Oct · 4 days played
24,52724,648peak 24,64811 Sept23 Oct
24,648Peak Premier in tracked matches
49Days played since 2025-09-15

Premier CS Rating

  • 121 below peak (24,648)
  • Next: Red band at 25,000 — 473 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-12
  • Purple band first seen 2026-09-12

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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate54.8%46.8%48.2%above
Shot accuracy20.3%13.0%13.2%above
Kill/death ratio0.901.061.070.17 short
Match win rate75.1%46.3%46.9%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHyzaqFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER24,527 · Pink 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

Aim75
Positioning58
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateLWWWWLWLLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +0.2pp headshot accuracy · +7ms reaction

Win rate 0pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 13%
  • Avg reaction 547ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 518ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 515ms

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 (+2.5 against its own average).

Aim7.5
Utility6.7
Positioning5.8
Opening Duels3.3
Clutch1.2

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

Twistzz

Plays most like Twistzz 89% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

CSDB Rating breakdown

Aim7.5
Positioning5.8
Utility6.7
Mechanics6.1
Opening Duels4.5
Win Impact4.4

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time525ms−100ms
first ⅓ avg 624ms → last ⅓ avg 525ms
Headshot accuracy13.4%−5.4%
first ⅓ avg 18.8% → last ⅓ avg 13.4%

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

0.19Best match rating · 13–4 · inferno, 15 Sept →
67%Best headshot accuracy · 0–4 · inferno, 2 Aug →
375msFastest reaction time · 7–13 · anubis, 10 Oct →
13–1Biggest win · mirage, 12 Jan →

Across the last 100 tracked matches.

Highlights

6Longest win streak
3–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 73% over 11dust2Weakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA3821–1755%0.02
infernoB199–1047%0.01
dust2D113–827%0.01
ancientS118–373%0.03
cacheS96–367%0.04
anubisS64–267%0.03
train—42–250%-0.00
overpass—20–20%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

143,190Lifetime kills
0.90K/D
9,083Matches
75.1%Match win rate · Top 1% of Level 8 players
54.8%Headshot % · Top 25% of Level 8 players
20.3%Shot accuracy · Top 5% of Level 8 players
10,180MVPs
3,969Hours (in match)
5,748Bombs planted
1,202Bombs defused

Most-used weapons

Lifetime map wins

6,082inferno
5,861dust2
1,456train
733nuke
560vertigo
481cbble
104dust
103italy

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

Faceit stats

Combat

762Matches
54%Win rate
1.12Avg K/D
81.2ADR
45%Headshot %

Clutches & streaks

26%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis1553%1.2016.0
Mirage1118%0.9013.4
Inferno1030%0.8313.2
Dust2650%0.9816.3
Cache580%1.2017.0
Ancient475%1.3919.3
Nuke2100%1.0315.0
Vertigo1100%0.5610.0

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.

13.7%Headshot accuracy
36.1%Accuracy (enemy spotted)
39.5%Spray accuracy
77.5%Counter-strafing
9.0°Preaim
524msReaction time
54.1%T opening success
42.3%CT opening success
0.71Enemies flashed / flash
11.2%Flash assists
8.30HE damage / grenade
10.02Flashes / 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 13.724% — 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.

27% 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
dust27–13-0.0516%23 Oct →
ancient13–40.059%19 Oct →
anubis13–80.1017%18 Oct →
ancient13–100.0812%18 Oct →
cache13–30.0914%18 Oct →
dust24–13-0.017%18 Oct →
cache13–10-0.0412%18 Oct →
mirage3–13-0.013%10 Oct →
inferno10–13-0.0616%10 Oct →
anubis7–13-0.1119%10 Oct →
inferno10–13-0.0510%10 Oct →
anubis13–80.0616%10 Oct →
inferno13–5-0.049%10 Oct →
mirage15–15-0.0211%5 Oct →
anubis13–30.0515%5 Oct →
dust27–13-0.019%5 Oct →
mirage13–8-0.023%4 Oct →
ancient13–50.0213%4 Oct →
mirage11–13-0.0919%4 Oct →
cache9–13-0.0118%4 Oct →
ancient10–13-0.0017%3 Oct →
dust213–60.0019%3 Oct →
inferno13–16-0.0623%3 Oct →
cache13–90.0713%3 Oct →
anubis5–13-0.0111%3 Oct →
dust24–130.0120%3 Oct →
mirage13–40.0216%3 Oct →
mirage6–13-0.0610%21 Sept →
mirage13–20.1521%11 Sept →
mirage7–13-0.029%9 Sept →
inferno13–6-0.0214%8 Sept →
ancient5–13-0.0710%8 Sept →
cache13–50.0713%8 Sept →
ancient13–80.003%8 Sept →
cache13–40.0620%2 Sept →
inferno13–30.0418%2 Sept →
cache13–100.0512%2 Sept →
ancient13–20.0318%30 Aug →
cache8–130.0419%30 Aug →
inferno0–40.0067%2 Aug →
mirage13–70.0513%1 Aug →
dust28–13-0.0513%1 Aug →
dust210–30.0932%31 Jul →
mirage13–90.0322%31 Jul →
mirage1–13-0.0231%30 Jul →
mirage13–70.0614%28 Jul →
dust211–13-0.0125%23 Jul →
anubis13–70.084%23 Jul →
cache9–130.0219%4 Jul →
mirage7–20.0836%4 Jul →
mirage12–120.0316%3 Jul →
mirage0–7-0.0729%22 Jun →
mirage7–20.0515%10 May →
inferno13–110.0525%7 Mar →
inferno6–130.0819%18 Feb →
mirage12–120.1024%17 Feb →
dust213–6-0.0725%16 Feb →
mirage13–90.0523%16 Feb →
ancient13–100.0722%2 Feb →
inferno6–13-0.0022%2 Feb →
mirage13–110.0515%23 Jan →
mirage10–130.0329%17 Jan →
mirage11–13-0.0023%16 Jan →
inferno13–90.0312%16 Jan →
mirage13–80.0415%16 Jan →
mirage13–20.0729%16 Jan →
inferno7–13-0.140%14 Jan →
dust211–130.0821%14 Jan →
mirage7–130.0226%13 Jan →
dust212–120.0818%12 Jan →
mirage7–13-0.0015%12 Jan →
inferno0–13-0.0611%12 Jan →
mirage13–10.0330%12 Jan →
mirage4–13-0.0538%12 Dec →
ancient11–13-0.0523%24 Nov →
mirage13–80.0320%24 Nov →
mirage11–130.0117%24 Nov →
train13–80.0420%24 Nov →
ancient13–40.0624%24 Nov →
inferno16–13-0.0214%23 Nov →
mirage13–60.0621%14 Nov →
inferno12–120.0413%14 Nov →
mirage13–50.0120%8 Nov →
inferno10–130.0123%8 Nov →
mirage13–70.0221%2 Nov →
mirage13–11-0.0217%31 Oct →
overpass11–130.0212%8 Oct →
ancient13–70.0918%8 Oct →
mirage4–13-0.0227%8 Oct →
mirage13–100.0325%8 Oct →
mirage8–13-0.0216%7 Oct →
overpass2–130.0611%24 Sept →
mirage13–30.067%23 Sept →
mirage13–70.0414%20 Sept →
inferno13–90.1214%20 Sept →
inferno13–100.0313%18 Sept →
train10–130.0412%16 Sept →
train4–13-0.0418%16 Sept →
train13–7-0.0420%15 Sept →
inferno13–40.1923%15 Sept →

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 →

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