[cZc]Happy

[cZc]Happy — CS2 Stats

DE76561197961338652[U:1:1072924]Steam profile ↗✓ No bans

2,680Tracked matches39%Win rate2021Tracked since
1,210Hours in CS
CSDB Rating1.3 LearningSupport
Premier CS Rating1,323Grey band · top ~94.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (15 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: 1,323 -191 25 Jun – 17 Sept · 22 days played
1,0001,538peak 1,53825 Jun17 Sept
1,624Peak Premier in tracked matches
35Days played since 2026-06-25

Premier CS Rating

  • 215 below peak (1,538)
  • -93 over 30 days · steady
  • -191 over 90 days
  • Next: Light Blue band at 5,000 — 3,677 to go

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches14——
Win rate43%——
K/D0.64——
Headshot %32%——

Measured 5 Sep 2026 → 2 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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate36.1%38.2%39.9%3.8% short
Shot accuracy11.5%3.6%7.0%above
Kill/death ratio0.720.830.920.19 short
Match win rate34.2%40.2%42.3%8.0% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG[cZc]HappyPREMIER1,323 · Grey bandcsdb.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

Aim3
Positioning29
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY32–64–4Last 10032%Win rateWLLLLLWTWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +1.6pp headshot accuracy · +13ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 650ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 714ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 707ms

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 (+1.2 against its own average).

Aim0.3
Utility3.3
Positioning2.9
Opening Duels0.0

Strong CT-side openerLimited 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 57% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 37% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 726ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 51% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim0.3
Positioning2.9
Utility3.3
Mechanics0.2
Opening Duels0.9
Win Impact1.4

Composite 1.3/10 (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-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time737ms−52ms
first ⅓ avg 789ms → last ⅓ avg 737ms
Headshot accuracy10.5%+0.5%
first ⅓ avg 10.1% → last ⅓ avg 10.5%

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

0.11Best match rating · 13–0 · mirage, 13 Aug →
31%Best headshot accuracy · 3–13 · anubis, 9 Aug →
500msFastest reaction time · 7–13 · anubis, 23 Jul →
13–0Biggest win · mirage, 13 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
6–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 55% over 11anubisWeakest map · 13% over 16
MapGradePlayedRecordWin rateAvg rating
infernoD226–1627%-0.04
nukeC187–1139%-0.03
anubisD162–1413%-0.05
mirageD132–1115%-0.03
cacheB136–746%-0.06
ancientA116–555%-0.03
office—42–250%-0.07
train—21–150%-0.08
dust2—10–10%-0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (13% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,056Lifetime kills
0.72K/D
3,907Matches
34.2%Match win rate
36.1%Headshot %
11.5%Shot accuracy · Top 25% of Grey band
3,630MVPs
1,210Hours (in match)
5,289Bombs planted
675Bombs defused

Most-used weapons

AK-475,415
FAMAS2,890
MP72,053
SG 5532,014
AWP1,463
Tec-91,185

Lifetime map wins

5,272inferno
3,339nuke
3,106dust2
1,545vertigo
398train
225office
43lake
27cbble

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

Skill profile

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

10.1%Headshot accuracy
22.3%Accuracy (enemy spotted)
20.7%Spray accuracy
51.1%Counter-strafing
15.2°Preaim
726msReaction time
15.2%T opening success
37.4%CT opening success
0.39Enemies flashed / flash
1.5%Flash assists
9.53HE damage / grenade
3.61Flashes / 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 15.172° — 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 10.1043% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 725.7877ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Anubis

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

13% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–11-0.0110%17 Sept →
inferno10–130.0010%17 Sept →
mirage10–13-0.0811%17 Sept →
inferno10–13-0.099%10 Sept →
ancient9–13-0.0417%9 Sept →
mirage6–13-0.0711%9 Sept →
nuke13–110.0210%6 Sept →
nuke15–15-0.0510%6 Sept →
office13–10-0.0011%5 Sept →
office13–8-0.0512%5 Sept →
office2–13-0.100%5 Sept →
inferno4–13-0.076%4 Sept →
cache2–13-0.074%4 Sept →
mirage7–130.0413%1 Sept →
nuke6–13-0.0314%1 Sept →
anubis13–9-0.0223%31 Aug →
anubis15–150.029%31 Aug →
nuke13–11-0.056%30 Aug →
cache10–13-0.0710%30 Aug →
nuke13–100.0110%30 Aug →
train6–13-0.0910%29 Aug →
cache13–20.0221%28 Aug →
cache10–13-0.0810%26 Aug →
anubis13–2-0.006%26 Aug →
nuke3–13-0.1214%26 Aug →
anubis10–13-0.0610%26 Aug →
mirage9–13-0.105%25 Aug →
ancient13–3-0.054%25 Aug →
inferno13–10-0.029%25 Aug →
inferno11–13-0.056%24 Aug →
nuke2–13-0.0225%21 Aug →
inferno4–13-0.049%21 Aug →
ancient11–13-0.0713%21 Aug →
anubis1–13-0.1022%21 Aug →
inferno5–13-0.058%21 Aug →
cache13–8-0.118%16 Aug →
ancient10–13-0.086%16 Aug →
ancient13–100.0214%16 Aug →
inferno13–7-0.006%16 Aug →
nuke11–130.014%16 Aug →
inferno15–15-0.0112%13 Aug →
mirage13–00.1117%13 Aug →
train13–6-0.0721%13 Aug →
inferno11–13-0.0512%12 Aug →
cache8–13-0.1013%12 Aug →
ancient16–14-0.029%10 Aug →
anubis9–13-0.0210%10 Aug →
anubis3–13-0.0831%9 Aug →
inferno11–13-0.0316%9 Aug →
anubis5–13-0.0615%9 Aug →
inferno4–13-0.035%9 Aug →
inferno13–9-0.053%9 Aug →
ancient13–10-0.024%24 Jul →
ancient8–13-0.015%24 Jul →
ancient5–13-0.057%24 Jul →
inferno13–9-0.0314%24 Jul →
anubis1–13-0.089%24 Jul →
nuke6–13-0.067%23 Jul →
nuke13–70.035%23 Jul →
mirage9–13-0.0312%23 Jul →
anubis7–13-0.0322%23 Jul →
anubis12–12-0.0720%23 Jul →
anubis3–13-0.150%23 Jul →
nuke13–110.012%22 Jul →
inferno9–13-0.0811%22 Jul →
nuke3–13-0.053%22 Jul →
nuke13–11-0.089%19 Jul →
inferno7–13-0.0512%19 Jul →
mirage5–130.019%19 Jul →
inferno13–50.028%19 Jul →
mirage3–13-0.079%18 Jul →
ancient13–9-0.0111%18 Jul →
mirage7–13-0.0310%17 Jul →
anubis5–13-0.0711%17 Jul →
cache3–13-0.0910%17 Jul →
anubis7–13-0.069%17 Jul →
nuke7–13-0.0413%17 Jul →
inferno13–60.0219%16 Jul →
nuke3–130.0012%16 Jul →
inferno9–130.006%16 Jul →
mirage3–13-0.0320%15 Jul →
mirage1–13-0.0711%15 Jul →
cache13–2-0.078%8 Jul →
office11–13-0.130%8 Jul →
inferno7–13-0.046%7 Jul →
cache5–13-0.0514%7 Jul →
cache13–7-0.006%7 Jul →
ancient13–6-0.047%3 Jul →
mirage13–40.0222%3 Jul →
nuke3–13-0.016%3 Jul →
cache13–10-0.0510%3 Jul →
cache13–9-0.0912%3 Jul →
inferno7–13-0.0911%1 Jul →
anubis6–13-0.038%1 Jul →
cache8–13-0.076%1 Jul →
nuke5–13-0.044%30 Jun →
anubis6–13-0.0613%30 Jun →
dust27–13-0.085%26 Jun →
inferno6–13-0.0311%25 Jun →
mirage0–13-0.0816%25 Jun →

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.