[cZc]Happy

[cZc]Happy — CS2 Stats

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

2,690Tracked matches39%Win rate2021Tracked since
3,223Hours in CS8Hrs last 2 wks
CSDB Rating1.3 LearningSupport
Premier CS Rating1,000Grey band · top ~95.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (6 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: 1,000 -454 3 Jul – 27 Oct · 23 days played
1,0002,082peak 2,0823 Jul27 Oct
2,082Peak Premier in tracked matches
36Days played since 2026-07-03

Premier CS Rating

  • 1,082 below peak (2,082)
  • -538 over 90 days
  • Next: Light Blue band at 5,000 — 4,000 to go

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

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 rate36.0%38.2%39.9%3.9% short
Shot accuracy11.4%3.6%7.0%above
Kill/death ratio0.720.830.920.20 short
Match win rate34.2%40.2%42.3%8.1% 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]HappyPREMIER1,000 · 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
Positioning33
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY34–62–4Last 10034%Win rateLLLLWLLWWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −3.1pp headshot accuracy · +56ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 6%
  • Avg reaction 806ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 8%
  • Avg reaction 771ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 742ms

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
Utility3.4
Positioning3.3
Opening Duels0.0

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

Twistzz

Plays most like Twistzz 56% 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 34% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 728ms 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
Positioning3.3
Utility3.4
Mechanics0.2
Opening Duels0.4
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 time736ms−46ms
first ⅓ avg 782ms → last ⅓ avg 736ms
Headshot accuracy9.9%−0.0%
first ⅓ avg 9.9% → last ⅓ avg 9.9%

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

4Longest win streak
L4Current streak
7–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 50% over 12anubisWeakest map · 14% over 14
MapGradePlayedRecordWin rateAvg rating
infernoC249–1538%-0.04
nukeC187–1139%-0.03
anubisD142–1214%-0.06
mirageD133–1023%-0.03
cacheD124–833%-0.06
ancientB126–650%-0.03
office—42–250%-0.07
train—21–150%-0.08
dust2—10–10%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,433Lifetime kills
0.72K/D
3,953Matches
34.2%Match win rate
36.0%Headshot %
11.4%Shot accuracy · Top 25% of Grey band
3,668MVPs
1,224Hours (in match)
5,340Bombs planted
684Bombs defused

Most-used weapons

AK-475,484
FAMAS2,891
MP72,103
SG 5532,014
AWP1,464
Tec-91,199

Lifetime map wins

5,356inferno
3,386nuke
3,138dust2
1,545vertigo
398train
246office
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.

9.8%Headshot accuracy
23.3%Accuracy (enemy spotted)
21.8%Spray accuracy
50.9%Counter-strafing
15.0°Preaim
728msReaction time
18.1%T opening success
33.5%CT opening success
0.44Enemies flashed / flash
1.1%Flash assists
10.20HE damage / grenade
3.68Flashes / 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 15.024° — 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 9.8093% — 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 728.0723ms — 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.

14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.007%27 Oct →
ancient9–13-0.0311%27 Oct →
cache2–13-0.130%27 Oct →
nuke9–13-0.0310%14 Oct →
mirage13–10-0.074%12 Oct →
dust28–13-0.049%12 Oct →
inferno4–13-0.046%12 Oct →
inferno13–11-0.048%11 Oct →
inferno13–8-0.0414%11 Oct →
inferno13–10-0.0812%8 Oct →
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 →

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.