Zuckerwatte

Zuckerwatte — CS2 Stats

DE76561198318941667[U:1:358675939]Steam profile ↗✓ No bans

599Tracked matches45%Win rate2023Tracked since
755Hours in CS11Hrs last 2 wks
CSDB Rating3.1 LearningSupport
Premier CS Rating13,877Blue band · top ~34.3% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 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: 13,877 +1,701 8 Jun – 6 Oct · 34 days played
10,92915,271peak 15,2718 Jun6 Oct
15,386Peak Premier in tracked matches
43Days played since 2026-06-08

Premier CS Rating

  • 1,394 below peak (15,271)
  • -598 over 30 days · declining
  • +881 over 90 days
  • Next: Purple band at 15,000 — 1,123 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Level 3 among CSDB-tracked players (n=10,051), 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 3 medianLevel 4 medianvs Level 4
Headshot rate36.5%41.8%42.7%6.3% short
Shot accuracy4.5%12.2%11.3%6.7% short
Kill/death ratio0.970.980.99meets
Match win rate43.5%43.3%43.9%meets

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

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGZuckerwatteFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER13,877 · Blue 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

Aim29
Positioning42
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateTLLWWLLLWW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −6.1pp headshot accuracy · −31ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 12%
  • Avg reaction 591ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 593ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 608ms

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 (+1.9 against its own average).

Aim2.9
Utility5.7
Positioning4.2
Opening Duels2.4
Clutch2.8

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 61% 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

Reaction time. 621ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 54% 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

Aim2.9
Positioning4.2
Utility5.7
Mechanics0.9
Opening Duels2.4
Win Impact3.3

Composite 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time607ms−103ms
first ⅓ avg 710ms → last ⅓ avg 607ms
Headshot accuracy15.7%+0.9%
first ⅓ avg 14.8% → last ⅓ avg 15.7%

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

0.26Best match rating · 2–0 · nuke, 24 Jun →
40%Best headshot accuracy · 13–5 · dust2, 3 Aug →
328msFastest reaction time · 9–0 · anubis, 24 Aug →
13–2Biggest win · dust2, 2 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 67% over 15cacheWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A3319–1458%-0.01
infernoS1510–567%-0.00
mirageD134–931%-0.02
ancientB115–645%0.00
nukeA106–460%0.04
cacheD71–614%-0.03
anubisD72–529%-0.03
overpass—41–325%-0.02

Across the last 100 tracked matches.

Lifetime stats

19,223Lifetime kills
0.97K/D
1,304Matches
43.5%Match win rate · Top 50% of Level 3 players
36.5%Headshot %
4.5%Shot accuracy
1,793MVPs
427Hours (in match)
900Bombs planted
195Bombs defused

Most-used weapons

Lifetime map wins

3,183dust2
1,995inferno
792nuke
401vertigo
327train
63lake
46safehouse
23ar_shoots

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

Faceit stats

Combat

59Matches
51%Win rate
1.12Avg K/D
76.9ADR
35%Headshot %

Clutches & streaks

34%1v1 clutch win
25%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust22955%1.1015.8
Mirage1217%0.7712.4
Inferno862%1.5817.5
Anubis367%1.4415.3
Ancient250%1.0618.5
Nuke250%0.9010.5
Overpass1100%1.1714.0
Vertigo1100%1.809.0

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.

15.5%Headshot accuracy
30.7%Accuracy (enemy spotted)
29.4%Spray accuracy
54.0%Counter-strafing
10.6°Preaim
621msReaction time
33.0%T opening success
46.4%CT opening success
0.50Enemies flashed / flash
3.1%Flash assists
10.50HE damage / grenade
11.69Flashes / 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. 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 33.0304% — below the 40% mark we flag

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke15–150.0210%6 Oct →
inferno1–13-0.046%6 Oct →
ancient10–130.0810%24 Sept →
cache13–60.0815%10 Sept →
dust213–60.0317%10 Sept →
ancient8–13-0.052%8 Sept →
dust28–13-0.0311%8 Sept →
dust27–13-0.0316%7 Sept →
ancient13–50.0114%7 Sept →
dust213–11-0.057%7 Sept →
dust29–130.0014%26 Aug →
dust213–6-0.0418%26 Aug →
anubis3–130.0124%25 Aug →
inferno11–130.0315%24 Aug →
anubis9–0-0.0120%24 Aug →
anubis13–100.0215%13 Aug →
mirage8–13-0.0211%6 Aug →
inferno13–50.0525%5 Aug →
dust213–8-0.029%5 Aug →
mirage6–13-0.0318%5 Aug →
dust23–13-0.0815%4 Aug →
mirage14–16-0.0513%4 Aug →
anubis2–11-0.0721%3 Aug →
dust213–50.0340%3 Aug →
mirage11–13-0.0614%3 Aug →
dust211–130.0313%27 Jul →
mirage13–80.0131%27 Jul →
dust213–11-0.0513%27 Jul →
cache2–13-0.0920%23 Jul →
dust213–6-0.0023%23 Jul →
nuke6–13-0.0113%20 Jul →
nuke13–4-0.0212%19 Jul →
anubis13–16-0.0211%17 Jul →
inferno13–6-0.028%17 Jul →
mirage13–60.0015%16 Jul →
inferno8–13-0.0111%16 Jul →
inferno13–30.0113%16 Jul →
ancient8–13-0.0118%15 Jul →
cache9–13-0.0514%15 Jul →
inferno13–3-0.0016%15 Jul →
cache10–13-0.0612%14 Jul →
mirage5–13-0.036%14 Jul →
cache7–13-0.089%14 Jul →
dust28–13-0.0010%12 Jul →
dust213–100.028%12 Jul →
inferno11–20.0422%12 Jul →
dust213–11-0.0510%10 Jul →
anubis0–13-0.0914%10 Jul →
nuke13–110.0311%10 Jul →
dust213–100.0114%9 Jul →
anubis12–12-0.045%7 Jul →
cache12–120.028%7 Jul →
cache7–13-0.0419%6 Jul →
mirage13–70.0118%6 Jul →
dust216–13-0.028%5 Jul →
dust213–9-0.0132%5 Jul →
nuke13–110.0811%5 Jul →
overpass11–13-0.0414%2 Jul →
dust213–40.0112%2 Jul →
dust27–13-0.0510%2 Jul →
dust210–13-0.0411%2 Jul →
dust210–13-0.0315%2 Jul →
dust213–20.1715%2 Jul →
mirage13–70.0415%1 Jul →
dust213–60.0212%1 Jul →
dust25–13-0.0823%30 Jun →
dust26–10.0413%30 Jun →
ancient13–4-0.0529%30 Jun →
nuke7–13-0.0510%29 Jun →
inferno13–60.0113%29 Jun →
nuke13–110.0119%29 Jun →
dust213–60.0110%29 Jun →
dust28–130.0131%28 Jun →
mirage9–13-0.0311%28 Jun →
nuke13–110.0319%28 Jun →
mirage6–13-0.0613%25 Jun →
dust213–30.0215%24 Jun →
inferno13–4-0.0316%24 Jun →
nuke2–00.260%24 Jun →
ancient11–13-0.026%24 Jun →
dust210–130.0110%24 Jun →
overpass7–13-0.0727%24 Jun →
mirage6–13-0.0510%23 Jun →
dust22–13-0.0919%23 Jun →
ancient13–10-0.017%22 Jun →
inferno9–13-0.0511%22 Jun →
overpass15–150.0211%21 Jun →
ancient2–130.0124%21 Jun →
mirage9–130.0119%18 Jun →
ancient13–70.0812%18 Jun →
overpass16–130.0111%16 Jun →
nuke9–130.0410%16 Jun →
dust213–50.0827%16 Jun →
ancient13–6-0.026%12 Jun →
inferno13–100.0012%12 Jun →
inferno13–100.0018%11 Jun →
ancient10–13-0.0115%11 Jun →
inferno13–11-0.0018%11 Jun →
dust211–13-0.0710%9 Jun →
inferno15–15-0.0021%8 Jun →

Match data via Leetify.

Recent teammates

Milestones

500 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.