hazza

hazza — CS2 Stats

GB76561198262809448[U:1:302543720]Steam profile ↗✓ No bans

2,641Tracked matches43%Win rate2020Tracked since
3,700Hours in CS39Hrs last 2 wks
CSDB Rating7.0 StrongPositional Player
Premier CS Rating19,589Top 50% of 213,211 CSDB-tracked playersPurple band · top ~10.1% of ranked players (population est.)
CSDB Leaderboard#91787 of 259935 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (2 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: 19,589 +263 30 Jul – 2 Nov · 38 days played
17,96320,738peak 20,73830 Jul2 Nov
20,945Peak Premier in tracked matches
38Days played since 2026-07-30

Premier CS Rating

  • 1,149 below peak (20,738)
  • +667 over 30 days · improving
  • +467 over 90 days
  • Next: Pink band at 20,000 — 411 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-20
  • Blue band first seen 2026-09-20

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 rate36.8%44.4%46.9%10.1% short
Shot accuracy10.8%11.9%13.0%2.2% short
Kill/death ratio1.051.031.080.03 short
Match win rate41.8%45.2%46.7%4.9% short

This profile sits below the typical Pink band player on every metric we can compare.

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.GGhazzaPREMIER19,589 · Purple bandcsdb.gg/stats

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Performance scores

Aim82
Positioning73
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateLWLWLWWLWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −0.9pp headshot accuracy · +35ms 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 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 603ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 622ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 604ms

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: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim8.2
Utility5.8
Positioning7.3
Opening Duels5.4
Clutch4.2

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

m0NESY

Plays most like m0NESY 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

T openings. 71% T opening-duel success — entries that actually open the round.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

CT openings. Opening success drops from 71% on T to 51% on CT — first contacts on the defending side are being lost.

Reaction time. 609ms 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

Aim8.2
Positioning7.3
Utility5.8
Mechanics7.6
Opening Duels7.6
Win Impact2.8

Composite 7.0/10 (Strong), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time615ms−14ms
first ⅓ avg 629ms → last ⅓ avg 615ms
Headshot accuracy20.5%+2.0%
first ⅓ avg 18.5% → last ⅓ avg 20.5%

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 · 13–1 · dust2, 31 Oct →
43%Best headshot accuracy · 13–3 · nuke, 30 Jul →
484msFastest reaction time · 13–3 · cache, 28 Oct →
13–1Biggest win · dust2, 31 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 67% over 18infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
ancientB2111–1052%0.03
nukeS1812–667%0.02
mirageC156–940%0.02
dust2B136–746%0.01
cacheC114–736%-0.01
infernoD103–730%-0.01
anubisC104–640%0.01
office—11–0100%0.05
eldorado—10–10%-0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

99,391Lifetime kills
1.05K/D · Top 50% of Purple band
5,769Matches
41.8%Match win rate
36.8%Headshot %
10.8%Shot accuracy
12,017MVPs
2,068Hours (in match)
6,645Bombs planted
1,774Bombs defused

Most-used weapons

AK-4727,379
AWP21,374
SG 5532,027
MAC-101,701
FAMAS1,566

Lifetime map wins

7,594dust2
6,500nuke
6,446inferno
3,015vertigo
1,009train
248cbble
145office
53lake

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

Faceit stats

Combat

157Matches
53%Win rate
1.19Avg K/D
76.8ADR
38%Headshot %

Clutches & streaks

41%1v1 clutch win
30%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3145%1.0114.4
Ancient3067%1.3919.2
Dust22952%1.3616.7
Nuke1771%1.4316.7
Anubis1644%1.0315.0
Inferno1457%0.9213.6
Cache944%1.3415.8
Vertigo367%1.2421.7

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.

21.4%Headshot accuracy
39.1%Accuracy (enemy spotted)
40.7%Spray accuracy
84.3%Counter-strafing
10.1°Preaim
609msReaction time
71.2%T opening success
50.7%CT opening success
0.58Enemies flashed / flash
11.0%Flash assists
9.56HE damage / grenade
9.67Flashes / match

Recommended for you

Spend your practice time on Inferno

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage0–13-0.0416%2 Nov →
nuke13–50.0223%2 Nov →
dust210–130.0526%1 Nov →
mirage13–70.0413%1 Nov →
mirage14–160.0417%1 Nov →
dust213–7-0.0316%1 Nov →
inferno13–7-0.0239%31 Oct →
dust211–13-0.0624%31 Oct →
dust213–10.1512%31 Oct →
dust27–130.0016%30 Oct →
nuke8–13-0.0224%30 Oct →
cache9–130.0225%30 Oct →
ancient13–8-0.0421%28 Oct →
cache13–3-0.097%28 Oct →
nuke9–130.0921%27 Oct →
mirage6–13-0.0117%27 Oct →
mirage13–110.0333%27 Oct →
nuke13–6-0.0224%27 Oct →
inferno9–130.0319%27 Oct →
dust26–130.0021%27 Oct →
ancient11–130.0121%27 Oct →
ancient13–100.0927%26 Oct →
inferno10–130.0420%26 Oct →
ancient11–130.1217%26 Oct →
anubis2–13-0.0418%26 Oct →
anubis4–130.0224%25 Oct →
dust216–12-0.0024%25 Oct →
cache10–13-0.0618%25 Oct →
dust213–50.0132%25 Oct →
anubis13–9-0.0019%25 Oct →
ancient13–90.0418%25 Oct →
mirage2–13-0.0315%24 Oct →
cache5–130.0210%24 Oct →
inferno8–13-0.0220%18 Oct →
mirage11–13-0.019%18 Oct →
inferno13–11-0.0231%18 Oct →
nuke7–13-0.0315%3 Oct →
nuke13–100.0413%24 Sept →
mirage16–130.0522%17 Sept →
ancient16–130.0226%15 Sept →
ancient16–120.0221%15 Sept →
nuke10–13-0.0325%10 Sept →
nuke13–80.0125%6 Sept →
inferno8–130.0213%6 Sept →
inferno8–13-0.0417%6 Sept →
mirage10–130.0419%5 Sept →
cache6–130.0418%4 Sept →
mirage13–7-0.0120%4 Sept →
inferno4–13-0.0432%4 Sept →
ancient13–8-0.0138%4 Sept →
mirage15–150.0416%1 Sept →
dust213–7-0.0217%1 Sept →
cache13–80.1230%31 Aug →
dust215–150.0522%31 Aug →
cache13–16-0.0826%30 Aug →
office13–110.0535%30 Aug →
cache7–130.0123%30 Aug →
ancient7–13-0.0421%28 Aug →
mirage5–130.0225%28 Aug →
nuke13–7-0.0626%25 Aug →
inferno1–13-0.1127%25 Aug →
nuke13–30.0535%25 Aug →
ancient10–13-0.0127%24 Aug →
mirage13–50.0319%24 Aug →
cache5–13-0.0319%23 Aug →
ancient11–13-0.0613%23 Aug →
nuke13–80.0810%23 Aug →
anubis13–40.0626%23 Aug →
ancient16–140.0621%22 Aug →
cache13–5-0.0612%22 Aug →
dust213–80.0124%21 Aug →
anubis13–90.0817%21 Aug →
eldorado5–9-0.0921%21 Aug →
nuke13–90.0314%20 Aug →
anubis8–130.0318%20 Aug →
anubis14–160.039%19 Aug →
ancient13–100.0811%10 Aug →
nuke10–130.0011%10 Aug →
mirage13–80.0711%8 Aug →
nuke16–130.0215%8 Aug →
ancient11–130.0311%5 Aug →
nuke13–110.0821%5 Aug →
mirage9–13-0.0417%4 Aug →
inferno13–90.0019%4 Aug →
ancient7–130.1016%4 Aug →
anubis8–13-0.050%3 Aug →
nuke13–90.0632%3 Aug →
ancient4–13-0.0116%3 Aug →
cache13–40.0121%3 Aug →
anubis15–15-0.018%2 Aug →
ancient13–50.0413%2 Aug →
ancient13–70.0916%2 Aug →
dust22–13-0.0522%1 Aug →
ancient13–30.0530%31 Jul →
ancient7–130.0419%31 Jul →
anubis13–90.0013%31 Jul →
dust29–13-0.0335%31 Jul →
nuke8–130.0713%31 Jul →
nuke13–30.0443%30 Jul →
ancient15–150.0133%30 Jul →

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 →

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