Haze

Haze — CS2 Stats

NO76561198002416784[U:1:42151056]Steam profile ↗✓ No bans

1,871Tracked matches50%Win rate2020Tracked since
CSDB Rating5.7 SolidSupport
Premier CS Rating22,861Top 25% of 200,629 CSDB-tracked playersPink band · top ~5.4% of ranked players (population est.)
CSDB Leaderboard#42827 of 247504 tracked
FaceitLevel 10 · 2,272 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,871 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,861 -2,448 13 Jan – 19 Sept · 38 days played
22,18225,309peak 25,30913 Jan19 Sept
Faceit ELO: 2,272 +0 30 Aug – 19 Sept · 3 observations
2,2722,272peak 2,27230 Aug19 Sept
25,968Peak Premier in tracked matches
2,272Highest Faceit ELO seen on CSDB
66Days played since 2026-01-09

Faceit ELO

  • At peak — 2,272
  • Next: 2,500 ELO at 2,500 — 228 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-30
  • Level 9 first seen 2026-08-30

Premier CS Rating

  • 2,448 below peak (25,309)
  • 0 over 90 days
  • Next: Red band at 25,000 — 2,139 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-08-30
  • Purple band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGHazeFACEITLevel 10 · 2,272 ELOSTANDINGTop 12.4% of rankedPREMIER22,861 · Pink bandPEAK ELO2,272csdb.gg/stats

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Performance scores

Aim62
Positioning56
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateWWLLWWLLWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +0.9pp headshot accuracy · −42ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 587ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 570ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 590ms

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 (+1.4 against its own average).

Aim6.2
Utility6.2
Positioning5.6
Opening Duels3.8
Clutch3.6

Strong CT-side opener

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 82% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Areas to improve

T-side openings. Opening success drops from 56% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 575ms 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

Aim6.2
Positioning5.6
Utility6.2
Mechanics5.7
Opening Duels3.2
Win Impact5.0

Composite 5.7/10 (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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time575ms+17ms
first ⅓ avg 558ms → last ⅓ avg 575ms
Headshot accuracy14.6%−1.9%
first ⅓ avg 16.5% → 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

0.14Best match rating · 13–4 · inferno, 9 Apr →
33%Best headshot accuracy · 4–13 · inferno, 16 Jan →
359msFastest reaction time · 6–13 · ancient, 2 Feb →
13–2Biggest win · ancient, 4 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
4–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 60% over 25dust2Weakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
ancientA2515–1060%0.02
infernoC219–1243%0.00
anubisC167–944%-0.00
nukeB126–650%0.03
mirageB126–650%0.02
dust2C83–538%-0.00
cache—32–167%0.09
overpass—32–167%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,525Matches
52%Win rate
1.14Avg K/D
78.3ADR
38%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient18360%1.1216.6
Inferno12853%1.1216.1
Anubis11350%1.0415.1
Mirage8239%1.0015.4
Nuke5639%1.0314.8
Vertigo2544%1.0716.8
Overpass2268%1.2616.1
Dust21844%0.9013.3

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.

14.7%Headshot accuracy
32.7%Accuracy (enemy spotted)
35.0%Spray accuracy
75.6%Counter-strafing
8.9°Preaim
575msReaction time
25.3%T opening success
55.5%CT opening success
0.60Enemies flashed / flash
8.0%Flash assists
9.60HE damage / grenade
8.57Flashes / 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 14.666% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 25.3438% — below the 40% mark we flag

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.

38% win rate across 8 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
ancient13–9-0.0029%14 Jun →
nuke13–40.0614%11 Jun →
anubis8–13-0.0717%8 Jun →
inferno4–13-0.0312%8 Jun →
ancient13–20.0322%4 Jun →
ancient13–20.0815%3 Jun →
ancient9–13-0.0425%2 Jun →
ancient8–130.0312%29 May →
mirage13–70.0611%29 May →
dust211–13-0.028%26 May →
anubis14–160.0113%25 May →
inferno13–50.0713%20 May →
mirage10–13-0.0417%20 May →
ancient13–100.0420%16 May →
ancient15–15-0.0315%14 May →
cache9–130.0912%14 May →
mirage8–13-0.0620%12 May →
cache13–60.049%6 May →
cache13–60.1418%4 May →
inferno13–100.0417%4 May →
anubis14–16-0.0210%29 Apr →
nuke6–130.0910%28 Apr →
ancient13–20.057%27 Apr →
inferno10–13-0.0212%27 Apr →
mirage15–150.018%27 Apr →
nuke13–20.1310%25 Apr →
inferno6–130.0616%24 Apr →
ancient13–40.0810%24 Apr →
mirage13–100.0922%22 Apr →
inferno4–13-0.0619%17 Apr →
anubis13–6-0.0220%17 Apr →
ancient16–130.019%14 Apr →
ancient4–13-0.0411%12 Apr →
overpass11–13-0.048%11 Apr →
anubis13–100.0119%11 Apr →
inferno13–40.1431%9 Apr →
anubis4–13-0.0410%9 Apr →
ancient13–7-0.0116%8 Apr →
dust25–13-0.0013%8 Apr →
mirage7–130.0013%8 Apr →
inferno8–13-0.0318%7 Apr →
ancient8–13-0.0012%5 Apr →
anubis11–13-0.048%3 Apr →
inferno4–13-0.0412%3 Apr →
anubis13–8-0.0214%3 Apr →
nuke13–40.0526%2 Apr →
dust24–13-0.0116%30 Mar →
dust213–11-0.0118%25 Mar →
mirage13–30.0327%25 Mar →
ancient15–150.0614%23 Mar →
mirage13–9-0.0221%22 Mar →
ancient13–100.0313%19 Mar →
inferno13–40.0428%19 Mar →
ancient8–13-0.039%19 Mar →
nuke10–13-0.0222%12 Mar →
inferno15–15-0.0213%10 Mar →
nuke7–13-0.0511%10 Mar →
anubis13–11-0.0211%6 Mar →
mirage9–130.068%6 Mar →
anubis3–130.0220%3 Mar →
anubis13–90.0817%2 Mar →
ancient13–80.0223%1 Mar →
inferno8–130.0022%28 Feb →
inferno13–6-0.0410%27 Feb →
ancient13–60.0619%27 Feb →
anubis9–130.0313%25 Feb →
dust213–50.1221%25 Feb →
nuke15–15-0.0214%24 Feb →
nuke9–40.0416%24 Feb →
inferno7–13-0.0213%23 Feb →
dust27–13-0.0616%23 Feb →
mirage13–80.0018%20 Feb →
inferno13–11-0.0422%19 Feb →
ancient4–13-0.0120%19 Feb →
nuke13–6-0.0214%18 Feb →
nuke10–13-0.0124%18 Feb →
mirage5–130.0227%11 Feb →
nuke13–50.0921%7 Feb →
anubis4–130.0313%6 Feb →
ancient11–130.0416%4 Feb →
overpass13–50.0214%3 Feb →
inferno13–60.0113%3 Feb →
ancient6–13-0.049%2 Feb →
anubis7–13-0.066%2 Feb →
ancient13–90.0214%27 Jan →
anubis13–9-0.0319%27 Jan →
anubis13–40.068%24 Jan →
inferno13–80.0225%21 Jan →
ancient13–10-0.0015%20 Jan →
inferno11–13-0.0116%17 Jan →
inferno13–70.0715%17 Jan →
nuke11–130.0411%16 Jan →
inferno4–13-0.0633%16 Jan →
ancient13–20.0616%16 Jan →
overpass13–11-0.0214%16 Jan →
dust213–40.0331%14 Jan →
dust23–13-0.079%14 Jan →
mirage13–20.0510%13 Jan →
inferno12–16-0.0214%10 Jan →
ancient13–7-0.0318%9 Jan →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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