Haze

Haze — CS2 Stats

RU76561199191285037[U:1:1231019309]Steam profile ↗✓ No bans

488Tracked matches61%Win rate2021Tracked since
10,741Hours in CS72Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (32 days ago). Ranks are recorded once per day this page is viewed.

+16Tracked matches · now 488
+10.7ppWin rate · 50.0% → 60.7%

Rating over time

Faceit ELO: 1,875 +0 1 Sept – 6 Sept · 3 observations
1,8751,875peak 1,8751 Sept6 Sept
1,875Highest Faceit ELO seen on CSDB
37Days played since 2025-09-22

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches100——
Win rate44%——
K/D1.72——
Headshot %15%——

Measured 7 Sep 2026 → 8 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,332), 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 9 medianLevel 10 medianvs Level 10
Headshot rate51.4%48.2%50.9%meets
Shot accuracy6.2%13.3%13.7%7.6% short
Kill/death ratio1.071.071.09meets
Match win rate39.0%46.9%48.4%9.4% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHazeFACEITLevel 9STANDINGTop 20.7% of rankedPEAK ELO1,875csdb.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

Aim79
Positioning55
Utility31

0–100 skill scores via Leetify.

Recent form

HOT58–34–8Last 10058%Win rateWWWWWWWWWL

Last 10 vs previous 10: +50pp win rate · −0.01 avg rating · +3.6pp headshot accuracy · −49ms reaction

Win rate up 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 18%
  • Avg reaction 525ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 20%
  • Avg reaction 514ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 18%
  • Avg reaction 538ms

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 (+1.4 against its own average).

Aim7.9
Utility3.1
Positioning5.5
Opening Duels3.7
Clutch4.0

Limited utility dependence

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

ropz

Plays most like ropz 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 563ms 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

Aim7.9
Positioning5.5
Utility3.1
Mechanics7.5
Opening Duels3.2
Win Impact8.6

Composite 6.2/10 (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 rating0.07+0.02
first ⅓ avg 0.05 → last ⅓ avg 0.07
Reaction time519ms−82ms
first ⅓ avg 601ms → last ⅓ avg 519ms
Headshot accuracy16.6%+0.0%
first ⅓ avg 16.6% → last ⅓ avg 16.6%

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

0.30Best match rating · 9–0 · inferno, 31 Oct →
30%Best headshot accuracy · 9–4 · nuke, 3 Nov →
375msFastest reaction time · 9–0 · inferno, 31 Oct →
13–3Biggest win · dust2, 20 Aug →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W9Current streak
3–7In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 62% over 58infernoWeakest map · 45% over 20
MapGradePlayedRecordWin rateAvg rating
nukeA5836–2262%0.06
infernoB209–1145%0.03
dust2A138–562%0.07
mirageB63–350%0.05
overpass—32–167%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (45% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,198Lifetime kills
1.07K/D · Top 50% of Level 9 players
2,835Matches
39.0%Match win rate
51.4%Headshot % · Top 50% of Level 9 players
6.2%Shot accuracy
9,936MVPs
2,501Hours (in match)
2,351Bombs planted
1,498Bombs defused

Most-used weapons

AK-4720,316
Knife3,564
AWP2,578
MP92,107
MAC-101,809
FAMAS1,547

Lifetime map wins

4,273nuke
3,314dust2
1,625inferno
394train
138vertigo
76office
27cbble
4lake

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

Faceit stats

Combat

677Matches
51%Win rate
1.36Avg K/D
93.7ADR
42%Headshot %

Clutches & streaks

40%1v1 clutch win
30%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage21850%1.3218.9
Dust217651%1.4218.3
Anubis6149%1.4419.1
Nuke5749%1.5021.3
Ancient3959%1.2318.3
Inferno3850%1.3617.9
Train1753%1.3620.6
Cache367%2.1125.7

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.

17.7%Headshot accuracy
38.0%Accuracy (enemy spotted)
39.2%Spray accuracy
83.8%Counter-strafing
9.9°Preaim
563msReaction time
44.7%T opening success
40.7%CT opening success
0.56Enemies flashed / flash
6.3%Flash assists
11.23HE damage / grenade
4.89Flashes / 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.

45% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–70.1429%1 Oct →
nuke13–40.0714%30 Sept →
mirage13–80.0922%23 Sept →
mirage13–90.0513%23 Sept →
nuke9–20.1315%1 Sept →
nuke9–00.1510%20 Aug →
dust213–30.0822%20 Aug →
dust213–40.0626%20 Aug →
dust213–70.0316%20 Aug →
nuke2–9-0.1229%19 Aug →
nuke0–9-0.0920%19 Aug →
nuke9–00.2919%19 Aug →
nuke7–9-0.0316%19 Aug →
nuke7–90.0114%18 Aug →
nuke8–8-0.006%15 Aug →
nuke9–40.1318%15 Aug →
nuke5–9-0.017%15 Aug →
nuke4–9-0.0826%14 Aug →
nuke9–10.2916%13 Aug →
nuke9–10.2920%13 Aug →
nuke9–4-0.0423%13 Aug →
nuke8–80.019%13 Aug →
nuke9–20.0710%13 Aug →
nuke9–40.0521%13 Aug →
nuke9–4-0.0111%13 Aug →
dust25–100.1421%13 Aug →
nuke5–9-0.0511%12 Aug →
nuke9–50.1423%12 Aug →
dust211–13-0.0121%9 Jul →
nuke9–70.0811%30 Jun →
nuke9–20.2718%30 Jun →
nuke8–80.0213%23 Jun →
mirage1–20.090%24 Mar →
nuke5–9-0.078%30 Jan →
nuke3–9-0.164%30 Jan →
nuke9–20.152%30 Jan →
nuke1–9-0.250%30 Jan →
nuke6–9-0.027%29 Jan →
nuke6–9-0.0013%29 Jan →
nuke9–10.1014%29 Jan →
nuke9–10.2015%29 Jan →
nuke8–8-0.0111%29 Jan →
nuke9–00.183%29 Jan →
nuke9–60.028%29 Jan →
nuke9–50.0524%29 Jan →
nuke9–40.0811%29 Jan →
inferno5–9-0.0723%28 Jan →
nuke9–30.1013%28 Jan →
inferno9–20.1317%27 Jan →
nuke9–10.128%27 Jan →
nuke9–40.0613%25 Jan →
nuke9–30.1220%30 Dec →
inferno8–80.0614%30 Dec →
nuke3–9-0.0910%21 Nov →
inferno9–50.1013%21 Nov →
dust27–90.0114%21 Nov →
inferno9–50.1125%20 Nov →
nuke9–00.2824%13 Nov →
inferno8–80.0817%13 Nov →
nuke9–40.1215%8 Nov →
dust29–50.1624%8 Nov →
mirage5–9-0.0028%8 Nov →
inferno7–9-0.149%8 Nov →
nuke9–50.0913%8 Nov →
dust29–20.1919%6 Nov →
inferno12–80.0716%6 Nov →
nuke8–120.0210%6 Nov →
nuke8–8-0.0827%6 Nov →
nuke9–30.1812%6 Nov →
nuke3–9-0.076%5 Nov →
nuke9–40.0716%5 Nov →
nuke9–70.1213%5 Nov →
nuke9–60.088%3 Nov →
nuke9–40.1430%3 Nov →
inferno9–30.1021%31 Oct →
nuke3–9-0.0813%31 Oct →
inferno9–00.3024%31 Oct →
inferno2–9-0.0923%31 Oct →
overpass4–90.0011%31 Oct →
nuke9–20.1815%30 Oct →
inferno9–40.1120%30 Oct →
inferno9–60.1429%29 Oct →
mirage6–9-0.0118%29 Oct →
inferno5–90.0617%29 Oct →
dust26–13-0.1318%29 Oct →
mirage13–90.0922%29 Oct →
inferno3–9-0.1518%29 Oct →
dust213–110.0717%28 Oct →
nuke9–30.289%28 Oct →
overpass9–40.0514%28 Oct →
inferno7–90.039%28 Oct →
inferno4–9-0.0819%27 Oct →
inferno2–9-0.1615%26 Oct →
overpass9–60.139%26 Oct →
nuke9–40.1211%26 Oct →
inferno3–9-0.0718%26 Oct →
inferno9–50.1412%25 Oct →
dust29–130.2716%24 Oct →
dust213–5-0.0521%24 Oct →
nuke8–80.0719%22 Sept →

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 →

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