|HTWC| CYou1996

|HTWC| CYou1996 — CS2 Stats

76561198049454306[U:1:89188578]Steam profile ↗✓ No bans

285Tracked matches50%Win rate2020Tracked since
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating16,878Purple band · top ~20.9% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (58 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 285 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,878 +1,171 13 Jun – 3 Sept · 22 days played
14,19117,827peak 17,82713 Jun3 Sept
17,827Peak Premier in tracked matches
25Days played since 2026-06-13

Premier CS Rating

  • 949 below peak (17,827)
  • -177 over 30 days · steady
  • +1,171 over 90 days
  • Next: Pink band at 20,000 — 3,122 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

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

Share this profile

CSDB.GG|HTWC| CYou1996FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER16,878 · Purple bandcsdb.gg/stats

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Performance scores

Aim62
Positioning50
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateWLWWLWLLLW

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −2.2pp headshot accuracy · +42ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 9%
  • Avg reaction 598ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 589ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 568ms

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 (+2.2 against its own average).

Aim6.2
Utility2.5
Positioning5.0
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

iM

Plays most like iM 91% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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.

T-side openings. Opening success drops from 40% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 561ms 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
Positioning5.0
Utility2.5
Mechanics5.0
Opening Duels1.3
Win Impact5.0

Composite 4.6/10 (Developing), 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 rating-0.03+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time563ms−27ms
first ⅓ avg 590ms → last ⅓ avg 563ms
Headshot accuracy9.7%−1.4%
first ⅓ avg 11.2% → last ⅓ avg 9.7%

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

0.04Best match rating · 13–9 · dust2, 11 Aug →
22%Best headshot accuracy · 11–13 · dust2, 11 Aug →
414msFastest reaction time · 13–9 · nuke, 23 Aug →
13–0Biggest win · inferno, 24 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–11In matches decided by ≤2 rounds
18Overtime games

Map breakdown

infernoBest map · 60% over 20ancientWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B2110–1148%-0.03
infernoA2012–860%-0.04
nukeB189–950%-0.03
cacheB158–753%-0.04
anubisA116–555%-0.03
ancientB115–645%-0.02
vertigo—11–0100%-0.01
train—10–10%-0.05
overpass—10–10%-0.00
mirage—10–10%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.2%Headshot accuracy
36.6%Accuracy (enemy spotted)
39.8%Spray accuracy
72.5%Counter-strafing
9.6°Preaim
561msReaction time
22.7%T opening success
40.4%CT opening success
0.22Enemies flashed / flash
5.5%Flash assists
8.46HE damage / grenade
2.69Flashes / 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 10.2216% — below the 15% mark we flag

    Aim Training →
  2. 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 0.2212 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 22.6934% — below the 40% mark we flag

Spend your practice time on Ancient

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 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–10-0.107%30 Aug →
dust28–13-0.0712%30 Aug →
nuke13–9-0.059%23 Aug →
inferno13–7-0.0312%23 Aug →
anubis4–13-0.067%23 Aug →
dust213–3-0.0211%23 Aug →
cache7–13-0.047%17 Aug →
inferno8–13-0.038%17 Aug →
inferno9–13-0.0215%16 Aug →
cache16–13-0.0411%16 Aug →
dust213–11-0.027%12 Aug →
inferno13–40.0113%12 Aug →
anubis13–11-0.0411%12 Aug →
cache16–14-0.0115%11 Aug →
dust213–90.0422%11 Aug →
nuke8–130.0215%11 Aug →
dust211–130.0122%11 Aug →
inferno8–13-0.065%11 Aug →
ancient6–13-0.027%9 Aug →
inferno13–40.035%9 Aug →
dust25–13-0.112%9 Aug →
nuke13–20.038%9 Aug →
inferno11–13-0.080%7 Aug →
nuke14–16-0.0511%7 Aug →
nuke7–13-0.0519%2 Aug →
nuke7–13-0.0411%2 Aug →
inferno13–5-0.053%30 Jul →
inferno13–10-0.049%30 Jul →
nuke2–13-0.1116%26 Jul →
anubis13–70.002%26 Jul →
cache13–11-0.007%26 Jul →
nuke8–1-0.078%26 Jul →
nuke11–13-0.024%26 Jul →
dust213–6-0.0013%26 Jul →
nuke3–13-0.083%26 Jul →
dust213–80.0210%26 Jul →
inferno13–11-0.0510%25 Jul →
cache5–40.0017%25 Jul →
anubis13–40.0118%25 Jul →
ancient11–13-0.0014%25 Jul →
anubis13–9-0.0010%24 Jul →
dust213–110.0211%24 Jul →
inferno13–0-0.039%24 Jul →
ancient12–16-0.0216%24 Jul →
cache13–8-0.0314%24 Jul →
nuke13–4-0.0214%24 Jul →
inferno13–11-0.0319%24 Jul →
anubis15–15-0.0611%22 Jul →
ancient16–14-0.046%22 Jul →
dust210–13-0.0715%22 Jul →
cache14–16-0.0613%22 Jul →
anubis7–13-0.090%22 Jul →
ancient12–16-0.0616%22 Jul →
nuke13–10-0.068%12 Jul →
dust213–7-0.058%12 Jul →
ancient13–60.008%12 Jul →
cache5–13-0.088%12 Jul →
cache11–13-0.0511%12 Jul →
inferno10–13-0.036%12 Jul →
dust211–13-0.0521%12 Jul →
cache13–10-0.036%12 Jul →
anubis16–13-0.028%12 Jul →
inferno4–13-0.054%12 Jul →
ancient13–9-0.0314%12 Jul →
dust213–5-0.0121%12 Jul →
nuke16–12-0.0012%11 Jul →
nuke13–50.0112%11 Jul →
cache1–13-0.0517%11 Jul →
anubis5–13-0.0214%11 Jul →
inferno13–100.0116%10 Jul →
dust216–130.0211%10 Jul →
cache13–8-0.079%10 Jul →
dust29–13-0.0211%10 Jul →
dust214–16-0.0121%9 Jul →
vertigo13–8-0.018%7 Jul →
dust213–10-0.0316%7 Jul →
train10–13-0.0515%7 Jul →
cache13–3-0.0317%7 Jul →
cache12–12-0.0311%7 Jul →
cache4–13-0.084%7 Jul →
nuke5–130.0418%29 Jun →
anubis16–14-0.0210%28 Jun →
ancient13–9-0.0512%28 Jun →
nuke13–10-0.037%28 Jun →
dust210–13-0.067%28 Jun →
anubis7–13-0.052%27 Jun →
inferno13–60.0113%27 Jun →
overpass12–16-0.0011%27 Jun →
inferno16–12-0.096%24 Jun →
dust213–16-0.078%24 Jun →
nuke13–9-0.085%24 Jun →
inferno13–16-0.0510%24 Jun →
nuke11–13-0.056%22 Jun →
ancient11–130.0019%22 Jun →
dust215–15-0.0513%22 Jun →
mirage4–13-0.0813%13 Jun →
ancient13–100.0213%13 Jun →
inferno7–13-0.0511%13 Jun →
ancient3–13-0.079%13 Jun →
dust27–13-0.066%13 Jun →

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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