worschtwasser

worschtwasser — CS2 Stats

DE76561198073340663[U:1:113074935]Steam profile ↗✓ No bans

2,766Tracked matches52%Win rate2023Tracked since
2,838Hours in CS24Hrs last 2 wks
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating13,058Blue band · top ~38.7% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (yesterday). 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: 13,058 -993 30 Jul – 13 Oct · 24 days played
10,64114,393peak 14,39330 Jul13 Oct
14,799Peak Premier in tracked matches
38Days played since 2026-07-15

Premier CS Rating

  • 1,335 below peak (14,393)
  • +81 over 30 days · steady
  • Next: Purple band at 15,000 — 1,942 to go
  • Reached: 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate43.7%42.0%44.3%meets
Shot accuracy0.1%9.6%11.9%11.8% short
Kill/death ratio0.700.981.030.33 short
Match win rate28.0%43.8%45.2%17.2% short

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

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

Share this profile

CSDB.GGworschtwasserPREMIER13,058 · 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

Aim49
Positioning54
Utility53

0–100 skill scores via Leetify.

Recent form

COLD46–52–2Last 10046%Win rateLLWWLWLLTL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +0.4pp headshot accuracy · +13ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 595ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 592ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 586ms

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 (+0.9 against its own average).

Aim4.9
Utility5.3
Positioning5.4
Opening Duels2.8

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

ZywOo

Plays most like ZywOo 73% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 586ms 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

Aim4.9
Positioning5.4
Utility5.3
Mechanics4.8
Opening Duels4.2
Win Impact5.6

Composite 4.8/10 (Developing), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time603ms−45ms
first ⅓ avg 648ms → last ⅓ avg 603ms
Headshot accuracy13.8%−1.6%
first ⅓ avg 15.4% → last ⅓ avg 13.8%

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

0.41Best match rating · 9–0 · overpass, 13 Sept →
31%Best headshot accuracy · 8–13 · dust2, 20 Aug →
414msFastest reaction time · 13–3 · nuke, 30 Jul →
13–0Biggest win · anubis, 20 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
7–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 60% over 10nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB3014–1647%-0.02
dust2B1910–953%-0.02
cacheC145–936%-0.02
anubisA106–460%-0.01
nukeD92–722%-0.04
mirageA74–357%-0.03
ancientC52–340%-0.01
train—21–150%0.01
overpass—11–0100%0.41
debris—10–10%-0.08
poseidon—11–0100%0.10
eldorado—10–10%-0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,952Lifetime kills
0.70K/D
5,323Matches
28.0%Match win rate
43.7%Headshot % · Top 50% of Blue band
0.1%Shot accuracy
5,580MVPs
1,616Hours (in match)
4,290Bombs planted
550Bombs defused

Most-used weapons

Lifetime map wins

7,656dust2
6,169inferno
3,820nuke
1,051train
683vertigo
233office
66italy
8ar_shoots

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.

13.5%Headshot accuracy
34.0%Accuracy (enemy spotted)
41.5%Spray accuracy
71.6%Counter-strafing
13.3°Preaim
586msReaction time
53.8%T opening success
40.1%CT opening success
0.44Enemies flashed / flash
8.8%Flash assists
8.20HE damage / grenade
9.51Flashes / 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 13.2876° — 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 13.4597% — 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 0.4435 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–130.0121%13 Oct →
nuke5–13-0.083%12 Oct →
mirage13–11-0.0217%12 Oct →
anubis13–5-0.027%12 Oct →
mirage6–13-0.045%11 Oct →
inferno13–6-0.0419%11 Oct →
cache2–13-0.0518%11 Oct →
ancient2–13-0.0315%9 Oct →
dust215–15-0.0414%9 Oct →
dust26–13-0.0023%9 Oct →
anubis8–13-0.0711%8 Oct →
inferno7–13-0.0617%8 Oct →
mirage6–13-0.047%8 Oct →
inferno7–13-0.0917%1 Oct →
ancient13–60.027%1 Oct →
inferno13–90.0218%1 Oct →
dust216–13-0.0717%29 Sept →
inferno13–110.008%29 Sept →
mirage13–70.0319%29 Sept →
nuke5–13-0.0518%27 Sept →
dust210–13-0.0720%27 Sept →
ancient8–13-0.0521%27 Sept →
anubis13–11-0.057%27 Sept →
mirage13–7-0.0320%27 Sept →
overpass9–00.4117%13 Sept →
debris4–9-0.088%13 Sept →
poseidon9–30.1016%13 Sept →
eldorado4–9-0.0818%13 Sept →
cache13–11-0.077%10 Sept →
anubis13–70.0218%10 Sept →
train13–9-0.018%9 Sept →
dust213–3-0.056%8 Sept →
anubis13–30.019%8 Sept →
nuke4–13-0.064%8 Sept →
inferno13–7-0.018%8 Sept →
cache9–13-0.038%8 Sept →
train10–130.039%7 Sept →
inferno11–13-0.0217%7 Sept →
inferno8–13-0.033%5 Sept →
dust213–60.0113%4 Sept →
dust213–60.022%4 Sept →
anubis9–13-0.0510%4 Sept →
inferno3–13-0.0822%4 Sept →
anubis13–16-0.0315%3 Sept →
inferno16–14-0.0219%3 Sept →
dust213–8-0.025%3 Sept →
ancient5–13-0.0118%2 Sept →
inferno5–13-0.0813%31 Aug →
dust210–13-0.054%31 Aug →
inferno13–30.018%31 Aug →
inferno13–70.000%31 Aug →
nuke13–4-0.0217%30 Aug →
inferno13–10-0.039%30 Aug →
inferno10–13-0.049%27 Aug →
dust211–13-0.0212%27 Aug →
nuke11–130.056%24 Aug →
inferno8–13-0.0417%20 Aug →
anubis13–00.1020%20 Aug →
dust28–13-0.0131%20 Aug →
inferno7–13-0.0623%18 Aug →
inferno11–13-0.0218%18 Aug →
cache15–15-0.027%18 Aug →
inferno5–13-0.0314%17 Aug →
cache13–16-0.0514%17 Aug →
anubis13–8-0.019%16 Aug →
inferno13–100.0713%16 Aug →
dust213–90.0013%16 Aug →
cache13–40.0510%16 Aug →
inferno13–90.0914%15 Aug →
cache10–13-0.0322%10 Aug →
nuke11–13-0.0412%10 Aug →
dust216–140.0619%10 Aug →
cache13–60.0319%7 Aug →
cache4–13-0.059%7 Aug →
ancient13–100.0118%6 Aug →
dust27–13-0.0317%5 Aug →
mirage13–2-0.0715%4 Aug →
inferno11–13-0.036%2 Aug →
cache9–13-0.0417%2 Aug →
dust213–60.0315%2 Aug →
cache13–70.0212%2 Aug →
inferno6–13-0.0110%30 Jul →
inferno13–3-0.019%30 Jul →
nuke13–3-0.0513%30 Jul →
dust29–13-0.0513%30 Jul →
inferno13–8-0.0012%28 Jul →
inferno13–6-0.0417%28 Jul →
nuke9–13-0.105%28 Jul →
mirage11–13-0.0123%24 Jul →
inferno13–30.0326%24 Jul →
anubis11–130.039%24 Jul →
inferno5–13-0.0628%24 Jul →
cache13–2-0.0317%24 Jul →
dust213–110.0420%23 Jul →
inferno6–13-0.0226%23 Jul →
inferno11–13-0.0010%20 Jul →
dust213–100.0115%20 Jul →
cache12–16-0.0415%20 Jul →
nuke4–13-0.0513%15 Jul →
dust26–13-0.0323%15 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.