h0uz3

h0uz3 — CS2 Stats

76561198066736037[U:1:106470309]Steam profile ↗✓ No bans

6,738Tracked matches50%Win rate2021Tracked since
CSDB Rating3.1 LearningPositional Player
Premier CS Rating3,499Grey band · top ~85.2% of ranked players (population est.)
WingmanSilver I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 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: 3,499 +954 24 Aug – 28 Sept · 30 days played
1,4083,974peak 3,97424 Aug28 Sept
3,974Peak Premier in tracked matches
30Days played since 2026-08-24

Premier CS Rating

  • 475 below peak (3,974)
  • +1,504 over 30 days · improving
  • Next: Light Blue band at 5,000 — 1,501 to go

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGh0uz3PREMIER3,499 · Grey bandcsdb.gg/stats

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Performance scores

Aim13
Positioning54
Utility22

0–100 skill scores via Leetify.

Recent form

STEADY44–51–5Last 10044%Win rateLLWLWWLTWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +1.2pp headshot accuracy · +9ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 677ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 654ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 650ms

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 (+2.6 against its own average).

Aim1.3
Utility2.2
Positioning5.4
Opening Duels0.8

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

jL

Plays most like jL 60% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 56% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 659ms 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

Aim1.3
Positioning5.4
Utility2.2
Mechanics5.2
Opening Duels4.0
Win Impact5.0

Composite 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time671ms+69ms
first ⅓ avg 601ms → last ⅓ avg 671ms
Headshot accuracy9.4%−0.8%
first ⅓ avg 10.2% → last ⅓ avg 9.4%

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

0.14Best match rating · 4–13 · ancient, 30 Aug →
20%Best headshot accuracy · 13–4 · anubis, 27 Aug →
445msFastest reaction time · 2–13 · cache, 4 Sept →
13–1Biggest win · nuke, 16 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
10–7In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 61% over 18cacheWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC3013–1743%-0.02
nukeA1811–761%-0.01
anubisC145–936%-0.02
mirageC125–742%-0.06
ancientC114–736%-0.02
cacheD92–722%-0.06
dust2A53–260%0.00
shelter—11–0100%0.01

Across the last 100 tracked matches.

Faceit stats

Combat

4Matches
25%Win rate
0.47Avg K/D
—ADR
22%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLLL

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.

9.2%Headshot accuracy
26.7%Accuracy (enemy spotted)
30.9%Spray accuracy
73.5%Counter-strafing
17.2°Preaim
659msReaction time
56.4%T opening success
35.3%CT opening success
0.22Enemies flashed / flash
4.1%Flash assists
8.04HE damage / grenade
1.94Flashes / 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 17.1727° — above the 12° mark we flag

    Aim Training →
  2. 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 9.2187% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2203 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis4–13-0.058%28 Sept →
inferno14–160.0111%26 Sept →
dust213–10-0.0113%21 Sept →
mirage6–13-0.1014%21 Sept →
nuke13–90.0413%21 Sept →
inferno13–40.039%21 Sept →
anubis10–13-0.0210%21 Sept →
anubis15–15-0.025%20 Sept →
shelter13–20.013%20 Sept →
inferno13–7-0.078%20 Sept →
inferno16–12-0.0311%20 Sept →
nuke9–13-0.025%20 Sept →
nuke6–13-0.0314%20 Sept →
mirage15–15-0.0911%19 Sept →
ancient12–4-0.093%18 Sept →
ancient13–50.0411%18 Sept →
nuke13–11-0.0013%17 Sept →
nuke13–8-0.034%17 Sept →
anubis5–13-0.050%17 Sept →
ancient10–13-0.087%17 Sept →
mirage13–11-0.0611%16 Sept →
inferno9–13-0.0616%16 Sept →
nuke13–10.086%16 Sept →
inferno13–60.0013%15 Sept →
inferno6–13-0.0413%15 Sept →
nuke13–9-0.0410%15 Sept →
nuke8–130.0210%14 Sept →
mirage2–13-0.186%13 Sept →
cache6–13-0.072%13 Sept →
anubis6–13-0.027%13 Sept →
ancient6–13-0.0416%13 Sept →
dust215–15-0.0212%12 Sept →
mirage11–13-0.0813%12 Sept →
mirage13–10.118%12 Sept →
anubis14–16-0.077%11 Sept →
nuke15–15-0.0114%11 Sept →
inferno13–100.0111%10 Sept →
inferno10–13-0.0010%10 Sept →
dust213–90.0411%9 Sept →
ancient3–13-0.062%9 Sept →
inferno13–10-0.017%9 Sept →
cache12–16-0.065%9 Sept →
anubis13–30.0220%8 Sept →
inferno13–60.016%8 Sept →
inferno9–13-0.0311%7 Sept →
nuke12–40.0012%7 Sept →
nuke13–11-0.0013%6 Sept →
cache2–13-0.116%6 Sept →
anubis9–13-0.058%6 Sept →
cache13–11-0.038%6 Sept →
mirage13–11-0.069%5 Sept →
inferno4–13-0.0913%4 Sept →
cache2–13-0.059%4 Sept →
inferno14–16-0.028%4 Sept →
inferno10–13-0.0513%4 Sept →
inferno13–16-0.0610%3 Sept →
dust29–130.026%2 Sept →
cache13–11-0.036%2 Sept →
inferno13–8-0.007%2 Sept →
inferno13–16-0.019%1 Sept →
anubis13–90.036%31 Aug →
inferno8–13-0.0614%31 Aug →
mirage5–2-0.070%31 Aug →
mirage13–30.038%31 Aug →
mirage1–13-0.073%31 Aug →
inferno3–13-0.046%31 Aug →
anubis15–15-0.024%31 Aug →
nuke13–110.038%30 Aug →
cache10–13-0.047%30 Aug →
nuke13–100.009%30 Aug →
nuke13–4-0.058%30 Aug →
inferno13–9-0.064%30 Aug →
ancient13–10-0.0210%30 Aug →
nuke13–100.0116%30 Aug →
nuke8–130.0311%30 Aug →
ancient4–130.147%30 Aug →
dust213–11-0.0314%30 Aug →
mirage5–13-0.100%29 Aug →
ancient11–13-0.0510%29 Aug →
inferno16–14-0.0116%29 Aug →
ancient13–80.006%28 Aug →
ancient11–13-0.0114%28 Aug →
mirage6–13-0.077%28 Aug →
inferno13–160.0212%27 Aug →
nuke4–13-0.0711%27 Aug →
cache10–13-0.073%27 Aug →
anubis13–40.0120%27 Aug →
ancient5–13-0.045%27 Aug →
inferno10–13-0.027%26 Aug →
cache10–13-0.0712%26 Aug →
anubis13–2-0.0216%26 Aug →
nuke3–13-0.098%26 Aug →
anubis10–130.0510%26 Aug →
inferno13–90.0211%26 Aug →
inferno13–8-0.029%26 Aug →
inferno5–13-0.0613%26 Aug →
inferno13–5-0.0110%24 Aug →
anubis16–14-0.0819%24 Aug →
inferno11–13-0.0015%24 Aug →
inferno10–13-0.006%24 Aug →

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 →

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