Wäsch-D

Wäsch-D — CS2 Stats

DE76561198208523083[U:1:248257355]Steam profile ↗✓ No bans

508Tracked matches55%Win rate2020Tracked since
3,980Hours in CS14Hrs last 2 wks
CSDB Rating5.6 SolidClutch Specialist
CSDB Leaderboard#25934 of 253970 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 24,622 +408 19 Mar – 25 Sept · 33 days played
22,80425,000peak 25,00019 Mar25 Sept
25,113Peak Premier in tracked matches
46Days played since 2026-03-19

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
Matches32——
Win rate50%——
K/D1.16——
Headshot %42%——

Measured 15 Sep 2026 → 19 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 Level 6 among CSDB-tracked players (n=13,185), 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 6 medianLevel 7 medianvs Level 7
Headshot rate39.3%44.8%45.7%6.5% short
Shot accuracy22.6%12.4%12.7%above
Kill/death ratio1.741.031.05above
Match win rate30.2%45.2%45.7%15.4% short

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGWäsch-DFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim71
Positioning51
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLWLLWLWWWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +1.5pp headshot accuracy · 0ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 549ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 572ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 572ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.4 against its own average).

Aim7.1
Utility4.5
Positioning5.1
Opening Duels1.4
Clutch5.6

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 91% playstyle similarity

Most alike: positioning profile, aim profile.

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

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. 598ms 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

Aim7.1
Positioning5.1
Utility4.5
Mechanics6.3
Opening Duels1.5
Win Impact6.7

Composite 5.6/10 (Solid), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time606ms−37ms
first ⅓ avg 643ms → last ⅓ avg 606ms
Headshot accuracy18.6%+1.4%
first ⅓ avg 17.1% → last ⅓ avg 18.6%

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

0.13Best match rating · 13–6 · cache, 27 Jul →
41%Best headshot accuracy · 13–5 · inferno, 10 Sept →
445msFastest reaction time · 13–8 · dust2, 24 Jun →
13–1Biggest win · dust2, 21 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–12In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 100% over 5mirageWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B3516–1946%0.01
infernoS2014–670%0.00
nukeD134–931%0.02
ancientD123–925%-0.01
anubisS64–267%0.01
mirageD51–420%-0.01
cacheS55–0100%0.03
overpass—41–325%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

272,719Lifetime kills
1.74K/D · Top 5% of Level 6 players
9,836Matches
30.2%Match win rate
39.3%Headshot %
22.6%Shot accuracy · Top 1% of Level 6 players
11,236MVPs
2,432Hours (in match)
4,243Bombs planted
1,116Bombs defused

Most-used weapons

AWP85,069
AK-4740,354
P2508,071
SSG 086,193
SG 5534,441

Lifetime map wins

12,264dust2
4,962inferno
3,471nuke
1,158cbble
490office
488train
250vertigo
225lake

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

Faceit stats

Combat

179Matches
59%Win rate
1.24Avg K/D
84.0ADR
37%Headshot %

Clutches & streaks

48%1v1 clutch win
18%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust21258%1.3817.8
Mirage633%0.9914.2
Inferno475%1.6217.5
Ancient10%0.9314.0
Cache1100%1.3316.0
Anubis1100%2.1021.0

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.

19.0%Headshot accuracy
34.9%Accuracy (enemy spotted)
36.7%Spray accuracy
78.2%Counter-strafing
9.2°Preaim
598msReaction time
40.9%T opening success
30.8%CT opening success
0.39Enemies flashed / flash
6.3%Flash assists
8.52HE damage / grenade
6.82Flashes / 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. 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 0.3895 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 30.7896% — below the 40% mark we flag

Spend your practice time on Mirage

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0121%17 Oct →
anubis13–80.0624%15 Oct →
inferno14–16-0.0216%14 Oct →
mirage4–13-0.0816%14 Oct →
dust213–80.1314%11 Oct →
dust29–13-0.0219%11 Oct →
dust213–110.0112%8 Oct →
cache13–60.0125%6 Oct →
inferno13–30.0221%6 Oct →
dust211–13-0.0020%6 Oct →
ancient11–13-0.0210%25 Sept →
cache13–60.0219%25 Sept →
nuke7–130.0226%25 Sept →
anubis13–110.0516%25 Sept →
anubis13–8-0.0310%24 Sept →
inferno13–80.1024%24 Sept →
inferno15–15-0.0127%22 Sept →
cache16–120.0019%21 Sept →
dust213–50.1313%20 Sept →
inferno2–13-0.0311%18 Sept →
anubis4–13-0.0222%15 Sept →
nuke8–130.0110%10 Sept →
inferno16–13-0.0125%10 Sept →
mirage7–13-0.080%10 Sept →
mirage4–00.1016%10 Sept →
inferno13–50.0141%10 Sept →
anubis6–130.018%16 Aug →
inferno13–110.0635%3 Aug →
inferno13–10-0.0227%3 Aug →
mirage6–130.0418%3 Aug →
dust24–13-0.0715%3 Aug →
nuke11–2-0.0018%3 Aug →
cache13–10-0.0418%30 Jul →
dust213–110.0116%30 Jul →
nuke13–90.0523%30 Jul →
cache13–60.1315%27 Jul →
dust213–100.0721%27 Jul →
dust26–13-0.0724%21 Jul →
ancient2–13-0.0723%17 Jul →
dust213–40.0320%17 Jul →
inferno11–130.0013%17 Jul →
dust213–90.0833%17 Jul →
overpass10–13-0.0210%4 Jul →
dust213–60.0712%4 Jul →
mirage3–13-0.0313%4 Jul →
ancient5–13-0.0014%2 Jul →
dust213–8-0.0311%24 Jun →
ancient11–130.0410%24 Jun →
dust211–130.0219%21 Jun →
dust29–13-0.0218%16 Jun →
overpass13–40.008%16 Jun →
nuke9–130.0313%9 Jun →
dust213–40.0513%9 Jun →
dust212–16-0.0115%8 Jun →
inferno13–11-0.0210%7 Jun →
ancient6–13-0.0214%7 Jun →
dust26–130.0514%5 Jun →
ancient11–130.0121%5 Jun →
nuke13–70.0417%5 Jun →
inferno13–90.0314%5 Jun →
nuke10–130.0228%5 Jun →
inferno13–11-0.0616%21 May →
dust213–90.0124%21 May →
dust213–1-0.0026%21 May →
nuke4–13-0.0314%18 May →
dust27–13-0.0515%18 May →
ancient8–13-0.0513%15 May →
overpass10–13-0.0413%15 May →
ancient13–160.0626%20 Apr →
ancient13–11-0.0318%13 Apr →
dust24–13-0.0614%13 Apr →
inferno11–13-0.039%13 Apr →
nuke5–130.0119%12 Apr →
ancient13–70.0118%12 Apr →
inferno13–11-0.0316%9 Apr →
inferno13–10-0.047%3 Apr →
anubis13–10-0.028%3 Apr →
dust22–13-0.0836%31 Mar →
dust29–130.0725%31 Mar →
ancient16–140.0517%29 Mar →
inferno13–3-0.0018%29 Mar →
inferno13–8-0.0111%29 Mar →
dust211–13-0.0216%29 Mar →
dust214–160.0018%29 Mar →
dust213–110.0415%28 Mar →
nuke7–130.0131%28 Mar →
inferno13–70.0615%26 Mar →
dust213–90.0217%23 Mar →
dust211–130.0211%22 Mar →
ancient7–13-0.0314%22 Mar →
inferno9–13-0.007%22 Mar →
nuke5–13-0.0233%22 Mar →
dust21–13-0.0822%21 Mar →
dust213–110.0111%21 Mar →
overpass15–150.0212%20 Mar →
nuke13–60.1113%20 Mar →
dust213–5-0.0210%20 Mar →
nuke4–13-0.0338%20 Mar →
dust29–130.0117%19 Mar →
dust211–13-0.0612%19 Mar →

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 →

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